ArticlePDF Available

Weed–Insect Interactions in Annual Cropping Systems

Authors:

Abstract

Agricultural production is increasingly viewed as more than a source of food, feed, fiber and fuel, but also as a system of interdependent biotic and abiotic components that interact to produce ecosystem services and disservices. Weeds and insects are commonly viewed as non-desirable components of agroecosystems that should be managed. However, weeds can also provide benefits to cropping systems, such as providing resources and habitat to pollinators and other beneficial arthropods. This review on weed–insect interactions in annual cropping systems focuses on functional interactions within the context of regulating and supporting ecosystem services and disservices. Regulating services are those that act as regulators of the environment, such as weed–insect interactions that contribute to the regulating services of pollination and biological control, but also contribute to the disservices of crop and cover crop seed predation, and maintenance of insect pests and insect-transmitted phytopathogens. Supporting services include habitat and biodiversity that are necessary for the production and maintenance of the other types of ecosystem services. Here we review the impacts of weed–insect interactions as a component of biodiversity. We conclude by identifying some knowledge gaps that hinder our understanding of trade-offs when seeking to improve net positive ecosystem services in annual cropping systems.
276
© The Author(s) 2021. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved.
For permissions, please e-mail: journals.permissions@oup.com.
Review
Weed–Insect Interactions in Annual CroppingSystems
MaryE.Barbercheck1,3, and JohnWallace2
1Department of Entomology, Penn State University, University Park, PA 16802, 2Department of Plant Science, Penn State University,
University Park, PA 16802, and 3Corresponding author, e-mail: meb34@psu.edu
Subject Editor: GadiV.P.Reddy
Received 2 October 2020; Editorial decision 21 December 2020
Abstract
Agricultural production is increasingly viewed as more than a source of food, feed, fiber and fuel, but also as a
system of interdependent biotic and abiotic components that interact to produce ecosystem services and disser-
vices. Weeds and insects are commonly viewed as non-desirable components of agroecosystems that should
be managed. However, weeds can also provide benefits to cropping systems, such as providing resources and
habitat to pollinators and other beneficial arthropods. This review on weed–insect interactions in annual cropping
systems focuses on functional interactions within the context of regulating and supporting ecosystem services
and disservices. Regulating services are those that act as regulators of the environment, such as weed–insect
interactions that contribute to the regulating services of pollination and biological control, but also contribute to
the disservices of crop and cover crop seed predation, and maintenance of insect pests and insect-transmitted
phytopathogens. Supporting services include habitat and biodiversity that are necessary for the production and
maintenance of the other types of ecosystem services. Here we review the impacts of weed–insect interactions
as a component of biodiversity. We conclude by identifying some knowledge gaps that hinder our understanding
of trade-offs when seeking to improve net positive ecosystem services in annual cropping systems.
Graphical Abstract
Positive and negative interactions among insects and weeds. Credit: Nick Sloff.
Annals of the Entomological Society of America, 114(2), 2021, 276–291
doi: 10.1093/aesa/saab002
Advance Access Publication Date: 9 February 2021
Review
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
277Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
Key words: annual agroecosystem, weed, insect, ecosystem service, agronomic crop
Agricultural production is increasingly viewed as a system of inter-
dependent biotic and abiotic components that interact to produce
ecosystem services and disservices (Millenium Ecosystem Assessment
2005). In general, ecosystem services are classied into four
types: provisioning, regulating, supporting, and cultural services.
Agroecosystems both provide and consume ecosystem services that
result in positive or negative impacts on human well-being (Zhang
etal. 2007, Shackleton etal. 2016). Some ecosystem services and dis-
services are clearly distinguishable. For example, ecosystem services
provided by agriculture include provisioning of food, feed, ber and
fuel, regulation of soil, water, and air quality, and biodiversity that
can contribute to regulation of pest organisms, such as insect pests
and weeds (Power 2010). Depending on management, agroeco-
systems can create numerous disservices, including loss of wildlife
habitat, creation of pest problems, nutrient runoff, sedimentation of
waterways, and pesticide intoxication of non-target species and con-
tamination of the environment.
Depending on context and grower goals, ecosystem services and
disservices can be produced by the same group of organisms. For
example, weeds are typically viewed as a non-desirable component
of agroecosystems that should be managed and their populations
limited because they can decrease crop yields, mechanically inter-
fere with harvest machinery, contaminate harvests and decrease
value of the harvested crop (Milanović etal. 2020). However, weeds
and their seeds can also provide supportive and regulating services
within crops. For example, weeds can provide ground cover that can
help to reduce soil erosion and N loss (Wortman 2016), much like
a winter cover crop, and support insect natural enemies (Diehl etal.
2012), pollinators (Gibson etal. 2006, Bretagnolle and Gaba 2015,
Blaix etal. 2018), birds (Thomas etal. 2001), and increase biodiver-
sity at the eld and landscape level (Marshall etal. 2003, Franke
etal. 2009, Storkey etal. 2014).
Earlier reviews have addressed the interactions between weeds
and insects in annual agroecosystems in various contexts. Norris
and Kogan (2000, 2005) reviewed the ecology of weed–insect inter-
actions and the consequences of these interactions for IPM (Norris
and Kogan 2000, 2005). Schroeder etal. (2005) examined the impact
of crop pests on weeds to examine the hypothesis that agricultural
elds are dominated by plant species that are tolerant or resistant to
the endemic insect complex. Capinera (2005) reviewed the relation-
ships between insect pests and weeds from an evolutionary perspec-
tive. Bàrberi etal. (2010) reviewed the inuence of spatial scale on
the functional relationships between weeds and arthropods in agro-
ecosystems. More recently, Harvey et al. (2010) and Sands (2018)
reviewed the interactions between invasive plants and plant-feeding
insects and consequences for conservation.
Regulating and Supporting Ecosystem
Services and Disservices
Scientists and the general public have become more aware of the value
of ecosystem services associated with weeds and insects and the crisis
of declining biodiversity, especially in agricultural habitats (Marshall
etal. 2003, Losey and Vaughan 2006, Yang and Gratton 2014, Blaix
etal. 2018, Sánchez-Bayo and Wyckhuys 2019, Smith etal. 2020).
Considering the net effects of a management system on trade-offs
between ecosystem services and disservices associated with groups
of organisms is crucial, especially under conditions of additional
stresses imposed by climate change. For the purposes of this review,
we will focus on functional weed–insect interactions in annual crop-
ping systems within the context of regulating and supporting services
(Millennium Ecosystem Assessment 2005). Regulating services are
those that act as regulators of the environment; here, we include
how weed–insect interactions affect pollination and biological con-
trol of insects and weeds. Regulating disservices associated with
weed–insect interactions include weed impacts on crop and cover
crop seed predation, and on promoting populations of insect pests
and prevalence of insect-transmitted phytopathogens. Supporting
services provide habitat and maintain biodiversity that are necessary
for the production and maintenance of the other ecosystem func-
tions, such as food provision, nutrient cycling, and microclimate
regulation (Millennium Ecosystem Assessment 2005). The demand
for provisioning services (i.e., yield) in agroecosystems often comes
at the expense of other ecosystem services, including those critical
to supporting services, such as pest regulation and crop pollination
(Foley etal. 2005, Bennett etal. 2009, Bretagnolle and Gaba 2015).
We conclude by identifying some knowledge gaps that hinder our
understanding of trade-offs when seeking to improve net positive
ecosystem services in annual cropping systems.
Insects and Weeds in Annual CroppingSystems
Both weeds and insects have been intensively and extensively studied
as pests with negative impacts on crop productivity and quality.
Plants are the foundation of the green food web as primary produ-
cers, and those considered to be weeds can comprise a considerable
part of the plant community in agroecosystems (Zou et al. 2016,
Neher and Barbercheck 2019). In annual agroecosystems, crop yield
loss from weed interference is a signicant contributor to farm prof-
itability. Recent syntheses of eld experiments suggest that in the
absence of weed control practices, grain corn and soybean yield loss
would exceed 50% (Soltani etal. 2016, 2017). In addition to the
direct impact of weeds on crop yields through competition for space,
nutrients, water, and light, weeds also indirectly affect crop produc-
tion via their inuence on insects, and by harboring phytopathogens
(Capinera 2005). However, plants also host the prey of omnivores
and carnivores. Therefore, the structure, composition, and manage-
ment of vegetation, including weeds, within cultivated elds and
eld margins greatly inuence biodiversity in agricultural land-
scapes. Weeds contribute to the biodiversity of agroecosystems and
have the potential to support the delivery of regulating ecosystem
services by increasing benecial arthropods involved in pollination
and biological control (Petit etal. 2011, Blaix etal. 2018, Storkey
and Neve 2018). The extent of the effects of weeds on agroecosystem
productivity is inuenced through functional traits such as biomass,
plant height, canopy and root size/architecture, leaf dry matter con-
tent, and reproductive phenology (de Bello etal. 2010, Lavorel etal.
2013). Attempts have been made to consider the management re-
quired to balance weed-associated ecosystem services and disservices
in agroecosystems (DiTommaso etal. 2016, Smith etal. 2020).
Plants, including weeds, provide many resources to insects in
agroecosystems, e.g., food, shelter, and sites for overwintering and
reproduction. Plant-feeding insects are an important cause of crop
yield losses worldwide (Oerke 2006, Dhaliwal etal. 2015, Savary
etal. 2019) and these losses are predicted to increase in response to
climate change (Capinera 2005, Deutsch etal. 2018). Plant-feeding
arthropods are typically grouped into types based on diet breadth (Ali
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
278 Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
and Agrawal 2012). Those whose diet breadth is limited to only one
or a few closely related plant taxa are considered highly specialized,
or monophagous, whereas those that feed on several plant species
in more than one plant family are considered generalists, or pol-
yphagous. Some species, whose diet breadth is usually restricted to
several species within a plant family are considered oligophagous.
The taxonomic and phenological similarity between weeds and a
crop therefore becomes an important element in predicting potential
for damage to crops by weed-feeding insects (Capinera 2005, rev. in
MacLaren etal. 2020). Those plant-feeding insects that can feed on
multiple plant species in a particular family are likely to be adapted
to attack both crops and weeds in the same family. For example,
in feeding preference assays, larval stalk borer (Papaipema nebris
(Guenee) [Lepidoptera: Noctuidae]) a pest of corn, preferred cool-
season perennial grasses compared with broadleaf weeds (Highland
and Roberts 1987). Capinera (2005) suggested that practices that
break the taxonomic link between weeds and crop plants can reduce
the movement of specialist and oligophagous insects from weeds to
crop plants.
Weed and Insect Communities Shift in Response to
DisturbanceRegimes
Annual cropping systems are characterized by their high level of dis-
turbance (Crews etal. 2016), and pest management is one of the
primary sources of chemical and physical disturbances in annual
cropping systems (Tooker etal. 2020). Weed management in com-
modity crop production typically employs a crop protection mindset
and is characterized by multiple herbicide applications containing
multiple modes-of-action. In response to overwhelming mortality
pressure from broad-spectrum herbicides, diversity of arable weed
communities in intensively managed systems is declining (Potts etal.
2010b, Petit et al. 2011, 2015; Meyer et al. 2013). Extensive use
of broad-spectrum weed control tactics often results in signicant
population increases of a limited number of weed species adapted to
weed control and disturbance regimes (Cardina etal. 2002, Murphy
etal. 2006). For example, no-till management changes the compos-
ition of the weed community, promoting annual grasses and per-
ennial weeds with deeper plant roots (rev. in Rollin et al. 2016).
Similarly, frequent and intensive disturbance from tillage and culti-
vation favor the dominance of a few competitive species. Herbicide-
resistant weed species are an extreme case of evolved adaptation
followed by rapid population increase. In addition to direct impacts
of herbicide- and tillage-based weed management on crop product-
ivity, additional economic and environmental costs can arise from
these management practices, such as increased risk of non-target ef-
fects associated with herbicides (Zaller and Brühl 2019), and for soil
degradation where extensive cultivation is used to suppress weeds
(Logan etal. 1991).
The marked decline in weed and insect diversity has contributed
to the decline in the functional biodiversity of ora in agroecosys-
tems, which has important implications for trophic interactions
and ecosystem services (Marshall etal. 2003, Losey and Vaughan
2006, Yang and Gratton 2014, Blaix et al. 2018, Sánchez-Bayo
and Wyckhuys 2019, Smith et al. 2020). Many of the weed spe-
cies that are known to support farmland birds or insects (Storkey
2013, 2014; Eraud etal. 2015), e.g., lambsquarters, Chenopodium
album L. (Amaranthaceae), black bindweed, Fallopia convolvulus
(L.) Á. Löve (Polygonaceae), prostrate knotweed, Polygonum
aviculare L. (Polygonaceae), lady’s thumb, Polygonum persicaria
L.(Polygonaceae), wild mustard, Sinapis arvensis L.(Brassicaceae),
and common chickweed, Stellaria media (L.) Vill. (Caryophyllaceae)
have decreased signicantly over the last few decades (Fried etal.
2008, 2009a,b, 2012). Storkey etal. (2012) attribute the decline of
weed abundance and diversity in arable elds to increased intensity
of management, including increased crop plant density, decreased
crop diversity, increased fertilizer and herbicide use, and more ef-
cient seed cleaning.
Regulating Services of Weed–Insect Interactions:
Pollinators and Pollination
Regulating services regulate processes in the environment, e.g., pol-
lination and control of plant-feeding arthropods in agroecosystems.
One of the most important ways that insect–plant interactions posi-
tively affect provisioning services (e.g., yield) in agroecosystems is
through pollination (Petit et al. 2011, 2015; Hanley et al. 2015;
Sutter et al. 2017; Blaix etal. 2018). Populations of pollinators,
including wild bees, honey bees, and bumble bees are declining in
agricultural landscapes (Van Engelsdorp etal. 2008; Winfree etal.
2008; Ellis etal. 2010; Potts etal. 2010a,c; Cameron et al. 2011;
Gonzalez-Varo etal. 2013). Pollination by insects is vital for the ma-
jority of cultivated and wild plants (Ollerton etal. 2011). Klein et
al. (2006) estimated that 70% of 57 crops grown worldwide de-
pend on insect pollination, and pollination services to crops has been
valued at 153 billion euros annually worldwide (Gallai etal. 2009),
and more than 18 billion dollars in the United States (Mäder etal.
2011). Numerous studies have demonstrated the benets of weeds in
supporting pollinators and crop pollination (rev. in Bretagnolle and
Gaba 2015, Blaix etal. 2018). Flowering weeds can support pollin-
ator populations and pollination through the provision of pollen and
nectar to bees and other insect pollinators. Outside of bloom periods
of mass-owering crops, pollinators must rely on other resources,
such as wildowers and weeds, which are not usually as abundant
and dense as crops in intensively managed systems. Many owering
plant species, most of which are weeds, in natural and semi-natural
habitats are important food resources for pollinators (Requier etal.
2015, Sutter et al. 2017). In the period between mass-owering of
oilseed crops in cereal systems, honey bees forage almost exclusively
on weeds (Morandin and Winston 2006, Requier etal. 2015).
There is a strong correlation between plant diversity and bee
diversity (Biesmeijer etal. 2006, Hopwood 2008, Holzschuh etal.
2010) and weeds can supply and diversify nectar in agricultural
landscapes dominated by agronomic crops, which often offer low
amounts of nectar compared with other habitats (Baude etal. 2016).
Greater and more diverse food resources associated with weeds
positively affect pollinator diversity (Carvalheiro etal. 2011, Pettis
etal. 2013), and diverse pollinator communities improve pollination
services (Klein etal. 2006, Hoehn etal. 2008). In addition to sup-
porting crop production, enhanced pollinator communities support
other ecosystem services such as honey production, weed regulation,
and improved survival of wild ora (Bretagnolle and Gaba 2015).
Regulating Disservices of Weed–Insect Interactions:
Pollinators and Pollination
Conservation of natural and semi-natural eld-edge habitats and
in-eld refuge strips in agricultural landscapes can support man-
aged and wild pollinator populations by providing food resources
(Garibaldi et al. 2011, Requier et al. 2015, Kovács-Hostyánszki
et al. 2017). However, management strategies to conserve insect
pollinators in agroecosystems can result in trade-offs. One trade-off
associated with weeds as a resource for pollinators is competitive
interactions between managed and wild bees. Managed and wild bees
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
279Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
interact in trophic networks in complex ways and these interacting
networks affect crop pollination, depending on weed communities.
For example, weed abundance and proximity to crops can affect
the abundance of wild bees, which may compete with honey bees
for weed pollen and nectar (Carvalheiro etal. 2011). If crops rely
on insect pollination and wild bees displace honey bees from weeds
and onto crops, then crop production may be increased. However, if
owering crops are not available to honey bees that have been dis-
placed from weeds, local resources for honey bees may be reduced.
Insect pollinators can promote the reproduction and persistence
of some weed species, even those that are predominantly self- or
wind-pollinated (Marshall et al. 2003, Sutherland 2004, Nicholls
and Altieri 2012, rev. in Rollin et al. 2016). The persistence of
most weed species in annual cropping systems is largely driven by
insect pollination, and in some intensively managed agricultural
landscapes, weeds can account for the majority of pollen resources
(Requier etal. 2015). Weed seed production can be improved with
pollination even in self-compatible species (Morales and Galetto
2003). Therefore, the support of weed populations may be a positive
service to pollinators but a disservice to farmers whose yields may
be negatively impacted by weeds. Aweed-management strategy is
required that provides sufciently abundant weeds to support pollin-
ators but not so abundant that crop yield is lost to weed competition.
Regulating Services of Weed–Insect Interactions:
Support of NaturalEnemies
Weeds contribute to the biodiversity of agroecosystems, and as
such have the potential to support the delivery of regulating eco-
system services in agroecosystems by increasing benecial arthro-
pods involved in biological control (Norris and Kogan 2000, 2005;
Gurr etal. 2016, 2017; Holland etal. 2016; Amoabeng etal. 2020;
Kleiman etal. 2020; Shields etal. 2019). The regulating ecosystem
service of biological control of pest insects contributes considerably
to agricultural productivity (Naranjo etal. 2015) and the value of
this service has been conservatively estimated at $4.5 billion an-
nually (Losey and Vaughan 2006). Many authors have reviewed
the importance of landscape complexity and vegetational diver-
sity for enhancing populations of benecial arthropods in agri-
cultural landscapes (e.g., Landis etal. 2000, 2005; Andow 1991;
Tscharntke et al. 2008; Letourneau etal. 2011). Heterogeneous
landscapes with a diversity of habitat types generally increase bio-
diversity and ecosystem services and functions (Tscharntke etal.
2008, Chaplin-Kramer etal. 2011), although the benets of diver-
sication practices on local communities can be strongly mediated
by regional species pools (Gering and Crist 2002). In simplied
agricultural landscapes, weedy or non-crop habitats can provide re-
sources such as oral nectar and pollen to meet or complement the
nutritional requirements of natural enemies, and alternate prey, as
well as refuge, nesting, and overwintering sites (Landis etal. 2000,
2005). For example, in corn, parasitism of Helicoverpa armigera
Hübner (Lepidoptera: Noctuidae) eggs by Trichogramma chilonis
Ishii (Hymenoptera: Trichogrammatidae) was positively correlated
to the proportion of non-crop habitat diversity at 0.5 and 1.0 km
radius scales (Liu etal. 2016).
Research on conservation biological control of arthropod pests
suggests that the positive effect of plant diversity, to which weeds
contribute, on biological control is supported by theories describing
multiple mechanisms. These include the enemies hypothesis, which
predicts that natural enemies will be augmented in diversied agro-
ecosystems and thereby control herbivores more effectively (Risch
1981, Blubaugh etal. 2021); the resource concentration hypothesis
which posits that that the apparency of a crop to an arthropod
pest is reduced by reducing the concentration of host plants (Root
1973); by diversion of pest species away from crops (Capinera
2005); or by creating an associational resistance to pest infestation
(Ninkovic etal. 2009). However, the effect of the enhancement of
natural enemy populations on actual pest control and crop yield is
not always measured (Letourneau and Bothwell 2008, Holland etal.
2016, Sutter etal. 2017, Blaix etal. 2018, Kleiman etal. 2020).
Blaix etal. (2018) reviewed the contribution of weeds to insect
pest regulation through multiple mechanisms and identied that
the most common way that weeds benet the reduction of insect
pest populations is by providing natural enemies of pests resources
in or around cultivated elds, supporting the natural enemies hy-
pothesis (Risch 1981). Several laboratory and greenhouse experi-
ments have measured the time that benecial arthropods spend
foraging on owers or have analyzed their preference for owers
of particular species (Blaix et al. 2018). For example, Belz etal.
(2013) found that the parasitoid, Microplitis mediator Haliday
(Hymenoptera: Braconidae) preferred candytuft, Iberis amara
L.(Brassicaceae) and cornower, Cyanus segetum Hill (Asteraceae)
over buckwheat, Fagopyrum esculentum Moench (Polygonaceae),
and Queen Anne’s lace, Ammi majus L.(Apiaceae). The pink lady
beetle, Coleomegilla maculata DeGeer (Coleoptera: Coccinellidae),
preferred to deposit eggs on velvetleaf, Abutilon theophrasti Medik.
(Malvaceae), compared with eight other broad-leaved annual weeds,
including species in the plant families Amaranthaceae, Asteraceae,
Euphorbiaceae, Malvaceae, and Solanaceae (Grifn and Yeargan
2002). Araj et al. (2019) investigated the effects of oral resources
from two common brassicaceous weed species, shepherd’s purse,
Capsella bursa-pastoris (L.) Medik. and white rocket, Diplotaxis
erucoides (L.) DC., on Eretmocerus mundus Mercet (Hymenoptera:
Aphelinidae), a parasitoid of the silverleaf whitey, Bemisia tabaci
Gennadius (Hemiptera: Aleyrodidae). Adults of E.mundus that were
provided owers of shepherd’s purse and white rocket survived 2.8
and 3.1 times longer, respectively, than those in a water-only con-
trol. Parasitoid longevity, egg load, fecundity and parasitism rate
of B. tabaci were also greater when they were provided with weed
owers compared to the control.
Control of arthropod pests by natural enemies can vary con-
siderably and the relative importance of non-crop habitat for sup-
porting biological control can also vary depending on the crop, pest,
natural enemies, management, and landscape structure (Tscharntke
et al. 2016). In-eld weeds and weedy eld margins that provide
oral resources have been associated with increased abundance and
diversity of benecial insects and reductions in pest numbers. In a
meta-analysis of 60 studies that included 29 comparisons of elds
with either high or low in-eld plant diversity, in-eld plant diver-
sity strongly increased arthropod abundance and richness, but had
weaker effects on evenness (Lichtenberg etal. 2017). The positive
effects of in-eld plant diversication were greatest for pollinators
and predators and was not signicant for herbivores. The authors
concluded that management that increases in-eld plant diversity
can promote key ecosystem service providers without increasing pest
herbivore densities (Lichtenberg etal. 2017). Albajes etal. (2009) re-
ported that natural enemy diversity increased up to 213% in weedy
compared with weed-free plots. Populations of a key pest of rice,
the rice brown planthopper, Nilaparvata lugens (Stål) (Hemiptera:
Delphacidae), were signicantly lower in a nectar-producing plant
intervention treatment than in the control treatment without nectar-
producing plants (Gurr etal. 2016). Smith etal. (2020) investigated
the functional link between weeds and invertebrates and the poten-
tial for these to provide ecosystem services such as pest control in
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
280 Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
wheat, Triticum aestivum L.(Poaceae). In that study, the weed spe-
cies most frequently shown to predict the invertebrate community
included several weeds typical of temperate agroecosystems from
several plant families, including the Amaranthaceae, Asteraceae,
Boraginaceae, Brassicaceae, Caryophyllaceae, Lamiaceae,
Papaveraceae, Plantaginaceae, Poaceae, and Primulaceae. Smith etal.
(2020) concluded that even in an intensively grown cereal system, ar-
able weeds can play an important role in maintaining and restoring
invertebrate populations and suggested that 10% weed cover is
needed to support invertebrates that provide ecosystem services.
Regulating Services of Weed–Insect Interactions:
Granivory
Weed Seed Predation
Weed management is a challenge in agroecosystems due, in part, to
the weed seedbank, which maintains the persistence of annual spe-
cies within the weed community (Fox etal. 2013). Limiting the num-
bers of viable seeds in the seedbank through cultural practices is a
critical component of sustainable weed management. Consequently,
the role of granivorous animals in weed seed consumption, a regu-
lating ecosystem service, is of interest due to their prominence in
agroecosystems (rev. in Kulkarni 2015, Sarabi 2019). Weed seeds are
an important food resource for some arthropod species in annual
agroecosystems, most commonly carabid beetle species (Petit etal.
2011, 2015), crickets (Carmona etal. 1999, Westerman etal. 2003,
White etal. 2007), and ants (Pearson etal. 2014, Penn and Crist
2018). Insect weed seed predators can contribute to the reduction
of weed populations by consuming seeds before seed dispersal (pre-
dispersal predation) or after the seeds have been shed and are on
the soil surface (post-dispersal). Most of the research on weed seed
predation in temperate annual agroecosystems has focused on post-
dispersal weed seed predation.
Several studies have shown that individual management prac-
tices such as tillage, crop type, fertilizer, and pesticide inputs can
have substantial impacts on weed seed predation (rev. in Menalled
etal. 2008). The timing, frequency and intensity of tillage practices
can have a signicant effect on seed predation rates due to their
impact on the location of weed seeds in the soil prole. Soil con-
servation practices that reduce tillage (conservation or zero tillage)
favor greater weed seed predation due, in part, to the high avail-
ability of seeds at the soil surface or at shallow soil depths (Kulkarni
etal. 2015). In tilled systems, seed predation on the soil surface de-
pends on the time lag between seed shed and incorporation in soil
(Westerman etal. 2003). Even though many natural and manage-
ment factors affect weed seed predation, it has been widely dem-
onstrated to be one of ‘many little hammers’ that can contribute to
weed suppression in annual agroecosystems (Liebman and Gallandt
1997, Gallandt 2006, Sarabi 2019).
Pre-dispersal Weed Seed Predation
Although biological control of weeds using pre-dispersal weed seed
predators has been undertaken in many countries, deployment of
this approach has been curtailed over the past decades in the United
States because of concerns about non-target impacts such as adap-
tation of insects to attack crops and other valuable plant species,
and the resulting requirements for stringent testing of candidate
biological control agents before release (Van Driesche etal. 2010,
Schwarzländer etal. 2018a,b, Hinz etal. 2020). Most pre-dispersal
seed predators occur in the Diptera, Lepidoptera, Coleoptera, and
Hymenoptera and are specialists on one plant species, genus, or
family (Van Driesche etal. 2010). Much of the literature on pre-
dispersal weed seed predation by insects is focused on biological
control of invasive aquatic or rangeland and pasture weeds (Van
Driesche etal. 2010; Schwarzländer et al. 2018a,b; Day and Witt
2019; Hinz etal. 2020).
Natural control of weeds through pre-dispersal weed seed pre-
dation in annual agroecosystems can be signicant but variable,
differing between and within years and crop management (rev. in
Sarabi 2019). Examples of pre-dispersal predation by specialist in-
sects common to annual cropping systems in the United States that
provide natural control include velvetleaf, lambsquarters, pigweeds,
and Canada thistle (Kremer and Spencer 1989, Landis etal. 2005).
DeSousa et al. (2003) reported larval Coleophora lineapulvella
Chambers (Lepidoptera: Coleophoridae) feeding on the maturing
seeds of redroot pigweed, Amaranthus retroexus L.This insect also
feeds on the seeds of smooth pigweed (A.hybridus L.) and powell
amaranth (A.powellii S.Wats.) (Weaver and McWilliams 1980).
Post-Dispersal Weed Seed Predation
Granivorous and omnivorous arthropods, especially crickets and
ground beetles (Coleoptera: Carabidae), can be important post-
dispersal weed seed predators (Honěk etal. 2007; Bohan etal. 2011;
Lundgren etal. 2013; Kulkarni etal. 2015, 2017). Several omniv-
orous or predominantly granivorous carabid species (Coleoptera:
Carabidae) can be important weed seed predators in temperate
zones (Thomas et al. 2001, Kulkarni et al. 2015). Field crickets
(Orthoptera: Gryllidae) consume the seeds of several common weed
species, for example, common ragweed (Ambrosia artemisiifolia L.,
Asteraceae), redroot pigweed, and crabgrass (Digitaria spp. Haller)
(Carmona etal. 1999; Westerman etal. 2003; White etal. 2007).
Ants can play an important role in seed feeding, especially in semi-
arid and arid regions (rev. in Penn and Crist 2018).
Post-dispersal weed seed predation can occur on and below the
soil surface, and predation by granivorous and omnivorous inver-
tebrates can substantially reduce the surface weed seed numbers
(Westerman etal. 2003, 2008). For example, Mauchline etal. (2005)
found greater than 70% predation of common chickweed (Stellaria
media (L.) Vill., Caryophyllaceae), prostrate knotweed (Polygonum
aviculare L., Polygonaceae), common lambsquarters (Chenopodium
album L., Amaranthaceae), and wild mustard (Sinapis arvensis
L., Brassicaceae) over a 2-wk period coincident with natural seed
rain. Several studies have examined the feeding preference of spe-
cic weed seed predators. For example, White etal. (2007) deter-
mined feeding preferences of three common species of ground
beetles: Amara aenea DeGeer, Anisodactylus sanctaecrucis F., and
Harpalus pensylvanicus DeGeer (Coleoptera: Carabidae) and the
northern eld cricket, Gryllus pennsylvanicus DeGeer (Orthoptera:
Gryllidae) and the effect of seed predation on weed emergence.
Anisodactylus sanctaecrucis, H.pensylvanicus, and female and male
G.pennsylvanicus consumed more seeds of redroot pigweed com-
pared with seeds of giant foxtail (Setaria faberi R.A.W.Herrm.);
granivory by A.aenea did not differ between these two weed spe-
cies. All the tested insects consumed fewer velvetleaf (Abutilon
theophrasti Medik, Malvaceae) seeds compared with redroot pig-
weed and giant foxtail seeds (White etal. 2007).
The magnitude of weed seedbank loss due to weed seed predation
is likely highly variable. In a greenhouse study, White etal. (2007)
determined that the carabid, A.sanctaecrucis, decreased total weed
emergence by 15%, and the eld cricket, G.pennsylvanicus, females
and males decreased weed emergence by 16 and 5%, respectively.
Emergence of redroot pigweed, but not velvetleaf or giant foxtail,
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
281Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
decreased when A.sanctaecrucis and male G. pennsylvanicus were
present, whereas the emergence of all three weed species decreased
in the presence of the female G.pennsylvanicus. In eld experiments
to estimate relative contribution of vertebrate and invertebrate weed
seed predation, White etal. (2007) found that invertebrate access
reduced emergence of velvetleaf seeds by 4 to 6% and giant foxtail
seeds by 4 to 13%. Westerman etal. (2003) examined the temporal
patterns of loss of the seed of the common chickweed, lambsquarters,
and wild oat, Avena fatua L.(Poaceae) from predation in organic
cereal elds in the Netherlands. Total weed seed production varied
considerably among elds and ranged from 800 to 16,000 seeds per
m2 per year. Calculated losses from seed predation ranged from 32
to 70% when assuming continuous exposure of seeds to predators
in the period from seed shed until crop harvest. The authors suggest
that seed predation in organic cereal elds is an important factor
shaping the population dynamics of arable weeds, and that the time
of weed seed exposure and vulnerability of weed seeds to seed pre-
dation is mainly affected by variation in the timing of seed shed and
seed burial by tillage (Westerman etal. 2003). Seed burial depths
of 0.5 or 1.0 cm reduced redroot pigweed and giant foxtail seed
consumption by A.aenea and A.sanctaecrucis but not by the larger
carabid beetle, H.pensylvanicus (White etal. 2007).
Soil and residue management can affect levels of weed seed preda-
tion, even when seeds are on the soil surface. Menalled etal. (2007)
assayed invertebrate seed predation rates of fall panicum (Panicum
dichotomiorum Michx., Poaceae) and common lambsquarters and
found that activity-densities of seed-predating carabid species and
seed predation were greater in a no-till compared to conventionally-
tilled and organic systems. The carabid community structure was
distinct among the three systems and there was a strong correlation
between seed removal rates and the total number of carabid seed
predators captured in each system. Ward et al. (2011) assessed the
activity-density of two granivorous ground beetles, A. aenea and
H. pensylvanicus, in management systems that ranged in disturb-
ance frequency, crop type and aboveground biomass production.
Ground beetle activity-density was higher in systems with greater
aboveground biomass and plant diversity (i.e., summer annual cover
crops) and lower in cultivated soybean systems without covercrops.
Multiple eld studies suggest that granivorous ground beetles
aggregate in response to weed seed distributions (Honěk and Jarošík
2000, Trichard etal. 2014, Kulkarni 2017), and carabid abundance
has been associated with aboveground seed density (Frank et al.
2011). Kulkarni (2017) and Blubaugh and Kaplan (2015) observed
a signicant spatial overlap between activity-density of carabids
and patches of high weed density, with spatial association strength-
ening as crop development advanced, suggesting that weedy patches
in cropped areas contribute to biodiversity by conserving popula-
tions of carabids and weed seed predation. Ward etal. (2014) found
that activity-density of H. pensylvanicus in late summer (June to
October) peaked at the onset of giant foxtail (Setaria faberi Herrm.,
Poaceae) seed shed, highlighting the need for incorporation of man-
agement practices to support ground beetle populations to maximize
predation potential for summer annual weeds that shed seed later in
the growing season. In a eld study to compare weed seed predation
by insects, Blubaugh etal. (2016) examined the effects of vegetative
cover on weed seed predation by carabid ground beetles on common
lambsquarters seeds. The omnivorous carabids, A. sanctaecrucis
and H.pensylvanicus aggregated in weed seed patches. While both
carabid species tracked and consumed weed seeds, A.sanctaecrucis
foraged equally in both bare and vegetative cover treatment plots,
whereas H.pensylvanicus was more active in habitat with vegetative
cover compared with plots without vegetative cover. Blubaugh etal.
(2016) suggested that niche complementarity that results from con-
trasting habitat selection among seed predators reduces the likeli-
hood of predator interference and may result in more even seedbank
depletion across heterogeneous habitat types, resulting in enhanced
weed seed predation in annual agroecosystems.
While many studies have recorded the removal and consumption
of applied weed seeds or from weed seed ‘cafeterias’ by insects, rela-
tively few studies of weed seed predation include data on predation
of naturally dispersed weed seed or the actual decrease of weed pres-
sure due to seed predation under commercial growing conditions.
Evans and Gleeson (2016) measured the impact of seed predation
by ants on naturally dispersed seeds of prickly saltwort, Salsola aus-
tralis R.Br. (Amaranthaceae), in wheat and found that the removal of
ants by insecticides resulted in a doubling of S.australis plants meas-
ured 2 mo after removal of ants, demonstrating that ant predation
of naturally dispersed weed seeds limited abundance of weeds in a
commercial grain system.
Regulating Disservices of Weed–Insect Interactions:
Granivory of Crop and CoverCrops
While granivory can provide regulating services through pre-and
post-dispersal consumption of weed seeds, it can also be the source
of disservices if desired seeds, such as crop or cover crop seed, are
consumed. Agricultural practices and environmental conditions that
support populations of weed seed predators may simultaneously
benet granivorous insects that could act as crop pests (Zhang etal.
2007, Tscharntke etal. 2016). Pre-dispersal granivory can reduce
crop yield and quality, especially where the seed is the harvestable
product, e.g., grain crops. For example, larval soybean podworm,
Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae), chews through
the pod to feed on developing seeds and also feeds on leaves and
owers. Several species of stink bugs (Hemiptera: Pentatomidae) can
damage and reduce yield in soybeans and other seed crops by using
their mouthparts to suck the contents from developing owers, pods,
and seeds and are major pests of oilseed crops (Koch etal. 2017).
Tschumi etal. (2018) studied the contribution of omnivorous and
granivorous invertebrates and vertebrates to regulating ecosystem
services and disservices in cereal elds and found that post-dispersal
seed predation was dominated by vertebrates, while vertebrates and
invertebrates contributed equally to predation of animal prey; how-
ever, benecial invertebrates and crop seeds were often consumed
to a similar or even greater extent than pest invertebrates or weed
seeds. The authors raised concerns that management for predation-
related ecosystem services may create equal or greater levels of
disservices, and that predation-related services will not necessarily
translate into net benets for agricultural production in some cases
(Tschumi etal. 2018).
Predation on seeds can reduce populations of planted crops, re-
sulting in reduced yields. Losses from granivorous soil-associated
insects, such as wireworms (Coleoptera: Elateridae), certain ground
beetles (Coleoptera: Carabidae, particularly Harpalini and Zabrini),
seedcorn maggots (Delia platura (Meigen), Diptera:Anthomyiidae),
thief (Solenopsis molesta Buren) and re ants (Solenopsis spp.
Westwood) (Hymenoptera: Formicidae) and crickets (Orthoptera:
Gryllidae: Nemobiinae and Gryllinae) through consumption
of planted seeds can be considerable (Lundgren et al. 2007).
Youngerman etal. (2020) conducted laboratory seed preference
trials with four common omnivorous predators that included the
Pennsylvania dingy ground beetle (H.pensylvanicus De Geer), the
common black ground beetle (Pterostichus melanarius (Illiger)),
Allard’s ground cricket (Allonemobius allardi (Alexander &
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
282 Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
Thomas)) and the fall eld cricket (G.pennsylvanicus Burmeister)
and ten commonly used cover crop species, including barley
(Hordeum vulgare L.), annual ryegrass (Lolium multiorum
Lam.), pearl millet (Pennisetum glaucum (L.) R.Br.), forage radish
(Raphanus sativus L.), cereal rye (Secale cereale L.), white mustard
(Sinapis alba L.), crimson clover (Trifolium incarnatum L.), red
clover (Trifolium pratense L.), triticale (×Triticosecale Wittmack)
and hairy vetch (Vicia villosa Roth). Three weed species were also
included to test relative preference between weed and cover crop
seed, and included velvetleaf (A. theophrasti), common ragweed
(A.artemisiifolia L.) and giant foxtail (S.faberi). All four seed pred-
ators readily consumed cover crop seeds but cover crops with hard
seed coats and seed hulls such as hairy vetch and barley were less
preferred (Youngerman etal.2020).
Seed predators may act as dispersal agents of seeds if they possess
caching behavior or move viable seeds to suitable sites for germin-
ation. These seed dispersal behaviors can affect the spatial distri-
bution of weeds by concentrating seeds that were scattered from
the mother plant (Detrain and Tasse 2000, Vander Wall etal. 2005,
Schupp etal. 2019). Seeds can also be distributed vertically in the
soil by insect burrowing activities (Sarabi 2019). Ant seed dispersal
(myrmecochory) may reduce seed predation and increase germin-
ation if seeds are disposed of in ant refuse dumps or seed caches
(Penn and Crist 2018).
Regulating Disservices of Weed–Insect Interactions:
Weeds and Arthropod-Transmitted Phytopathogens
Weeds can interact with insects to inuence phytopathogen move-
ment in agroecosystems (Duffus 1971, Wisler and Norris 2005,
Eigenbrode et al. 2018). Weeds can serve as an overwintering
or in-season reservoir for phytopathogens that are trans-
mitted from outside or within the crop eld to crop plants by
insects. Some weeds may serve as an obligate alternate host for
phytopathogens that require them as part of the phytopathogen
life cycle. Many phytopathogens, mainly viruses (Blanc et al.
2011), and to a lesser extent fungi and bacteria (Perilla-Henao
and Casteel 2016), are transmitted by insects with sucking-
piercing or rasping mouthparts, such as leafhoppers (Hemiptera:
Cicadellidae), planthoppers (Hemiptera: Fulgoromorpha), white-
ies (Hemiptera: Aleyrodidae), aphids (Hemiptera: Aphidoidea),
psyllids (Hemiptera: Psylloidea), and thrips (Thysanoptera:
Thripidae) (Alexander et al. 2014). Insect vectors may be col-
onizers (i.e., those that feed or reproduce on a plant species) or
non-colonizers (i.e., those that do not feed and reproduce on a
plant species). Aphid-transmitted viruses are often transmis-
sible by a large suite of species, including non-colonizers (Zitter
2001). Within-eld or surrounding land cover can mediate virus
epidemiology by providing habitat for the insect vector. For ex-
ample, nonpersistent, aphid-transmitted viruses often have large
host-plant ranges and reservoirs of both the vector and virus can
persist in the surrounding landscape or within elds, affecting the
probability of virus infection within crop systems (Zitter 2001).
Groves et al. (2002) monitored thrips populations and Tomato
Spotted Wilt Virus (TSWV) on 28 common perennial, biennial, and
annual weed species over two non-crop seasons at eld locations
across North Carolina. Spiny sowthistle, (Sonchus asper (L.) Hill,
Herb. Brit., Asteraceae), chickweed, and dandelion (Taraxacum
ofcinale (L.) Weber ex F.H. Wigg, Asteraceae) consistently sup-
ported the largest populations of immature TSWV vector spe-
cies, the most abundant being the tobacco thrips, Frankliniella
fusca Hinds (Thysanoptera:Thripidae). TSWV infection was
documented in 49% of common perennial (14%), biennial (6%),
and annual (29%) weed species across 18 plant families. The au-
thors found that perennial weed species, including black-seeded
plantain (Plantago rugelii Decne., Plantaginaceae) and curly dock
(Rumex crispus L, Polygonaceae) remained TSWV-infected for 2
yr in a eld experiment, and suggested that perennial weed species
may serve as long-lasting inoculum acquisition sources of TSWV
for spread to susceptible crops (Groves etal. 2002).
The abundance of agricultural pests and the damage they cause
to crops are inuenced by combinations of management decisions
made at the within-eld scale (e.g., tillage regime, pesticide inputs)
and extra-eld characteristics (e.g., land use, habitat heterogeneity)
that are usually beyond the control of individual farmers. Insect-
transmitted crop viruses are mediated by both within-eld weeds
(e.g., Duffus 1971, Ali and Agrawal 2012, Srinivasan et al. 2014,
Smith etal. 2016) and in the surrounding area (e.g., Carrière etal.
2014, Clain etal. 2017). Angellella etal. (2016) compared the pre-
dictive ability of surrounding landscapes at different scales with that
of within-eld weed cover on aphid vector alightment and virus
infection within elds and found that for vectors of nonpersistent,
stylet-borne viruses, extra-eld landscape composition had a greater
inuence on vector alightment than did in-eld weed cover. Based
on their results, the authors questioned whether in-eld weed man-
agement is an effective method of crop virus prevention in some sys-
tems and suggested that management approaches should focus on
optimal crop placement relative to surrounding land use (Angellella
etal. 2016).
Supporting Services of Weed–Insect Interactions:
Biodiversity
Supporting services provide habitat and maintain biodiversity that
are necessary for the production and maintenance of the other
types of ecosystem services. Even though weeds are often harmful
for crop production they are also an important component of bio-
diversity in agricultural landscapes, and can serve as a resource for
arthropods and other organisms (Marshall etal. 2003, Petit et al.
2011, Woodcock etal. 2016, Blaix 2018). Many studies have found
positive relationships between plant diversity and the diversity of
consumer assemblages (rev. in Ng 2018). The diversity of weeds in
arable elds has been shown to increase with the complexity of the
landscape (Gabriel etal. 2005), which in turn can affect insect abun-
dance and diversity. In a study across three ecosystems, Tylianakis
etal. (2008) found that the relationship between diversity and an
ecosystem function became stronger in habitats with spatially het-
erogeneous distributions of an essential resource. The authors sug-
gested a heterogeneous environment reduces competition between
species through niche partitioning, allowing diverse assemblages that
perform their ecosystem functions at elevated rates (Tylianakis etal.
2008).
In agroecosystems, weeds can comprise a considerable propor-
tion of total plant species richness, a commonly used vegetation at-
tribute that represents the diversity of available resources (Perner
etal. 2005). Plant species richness has been linked to the diversity of
food resources, shelter and oviposition sites for arthropods (Landis
etal. 2005, Perner etal. 2005). Much research has focused on how
to increase biodiversity and ecosystem services in agricultural sys-
tems through management of eld margins and non-crop habitat
(Diehl et al. 2012, Tschumi et al. 2016) to counteract declines in
biodiversity within the cropped area of elds (Ewald etal. 2015).
Habitat heterogeneity is also temporally variable in agroecosystems.
Temporal (e.g., seasonal) and spatial habitat effects on insect–plant
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
283Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
relationships can result through several mechanisms, including dif-
ferent plant host use at different stages of insect life cycles, changes
in plant phenology and succession, and varying environmental con-
ditions through time (Landis etal. 2000, 2005; Rouabah etal. 2015).
Increased biodiversity from weeds in annual cropping systems
can inuence the diversity and abundance of arthropods either dir-
ectly, through resource-mediated processes, e.g., provision of prey,
nectar, pollen, shelter or reproduction sites, or indirectly through
structure-mediated processes, i.e., modication of the physical en-
vironment. These mechanisms are not mutually exclusive and are
linked to site-specic factors such as abiotic conditions, disturbance,
and productivity (Perner etal. 2005). For example, Ng etal. (2018)
quantied the relationships between attributes of the ground-layer
plant community (structure, species richness, species composition)
and the diversity and species composition of beetles in three habitat
types (remnant woodland patches, farmland, and their edges), during
peak crop growth in spring and post-harvest in summer. The authors
found that plant species composition better-predicted beetle species
community composition than did vegetation structure; plant species
richness and vegetation structure both signicantly affected overall
beetle activity-density; and the inuence of these vegetation attri-
butes varied depending on habitat and time for all trophic groups
(Ng etal. 2018).
Habitat Structural Complexity and VegetativeCover
In agroecosystems, weeds can diversify habitat structure, dened as
the composition and arrangement of the physical material at a lo-
cation and measured as the absolute abundance of individual struc-
tural components per unit area (Woodcock etal. 2007). Habitat
structure is a driver of many patterns and processes by providing
resources (e.g., shelter, nesting sites) and mediating resource-based
dynamics in food webs (e.g., predation and competition) (Tews
et al. 2004). Theory (Loreau et al. 2003) and empirical evidence
(Tscharntke etal. 2008, 2012) indicate that habitat heterogeneity
can enhance the effects of biodiversity on ecosystem functioning and
stability by promoting coexistence through resource partitioning
among species (Cardinale etal. 2000). Weeds in both within-eld
and non-crop habitats contribute to habitat structure and cover in
agricultural landscapes (Saska etal. 2007). Vegetative cover supports
higher densities and evenness of natural enemies and inuences bio-
logical control by predators of insects and weeds (Letourneau etal.
2011; Diehl etal. 2012; Blubaugh etal. 2021, 2016; Ng etal. 2018).
Structural heterogeneity and vegetative cover provided by weeds
can modify the microclimate, such as ground temperature, and may
buffer the system against disturbances, e.g., unfavorable weather
conditions such as heavy rain or excessive heat and pesticide sprays
(Gontijo 2019).
Structural habitat heterogeneity and ecotones generally pro-
vide favorable habitats for arthropod predators (Landis etal. 2000,
Langellotto and Denno 2004), and contribute to their retention by
providing shelter and refuge from inter- and intra-guild predation,
resulting in higher predator densities (Janssen et al. 2007, Bohan
2011, Diehl etal. 2012, Kratina etal. 2012). Habitat structure also
inuences how organisms move through a habitat, in turn affecting
prey availability to predators and competitive and predatory inter-
actions among predators (Landis etal. 2005, Ng et al. 2018). Ng
(2018) suggested that weedy patches could provide structural refuge
(e.g., oviposition or estivation sites) for predatory beetles during
the summer. Greater predator abundance and diversity can lead
to greater biological control of insect pests (Sunderland and Samu
2003, Letourneau etal. 2011).
Complex habitats with non-crop plants such as weeds can also
host a greater diversity of herbivores, supporting a greater diver-
sity of natural enemies (Andow 1991). Vegetative cover provided by
weeds can also enhance arthropod numbers. Among the most con-
sistent factors that distinguished carabid beetle species assemblages
among years and treatments in a study comparing levels of disturb-
ance and cover crop type in an organic cropping system were soil
disturbance and weed density (Jabbour etal. 2016, Pisani Gareau
et al. 2020). In a meta-analysis of seven long-term eld studies in
Britain, Smith et al. (2020) found arthropod predator abundance
was related to total weed cover in wheat, Triticum aestivumL.
Overall, the effects of habitat complexity and vegetative cover are
locally specic and can range from having a very great effect to no
effect at all on weed seed predation (Birthisel etal. 2014, Winqvist
etal. 2011). Blubaugh etal. (2016) examined the effects of vegeta-
tive cover provided by cover crops on predation of weed seeds by
omnivorous arthropods and found that vegetative cover increased
per-capita weed seed predation by 73% compared with bare plots.
Early-season weed seed presence increased beetle activity-density by
77%, and the authors suggested that within-eld habitat manage-
ment such as cover crops improve biological control, not only by
promoting increased activity of omnivores, but also by facilitating
their function as weed seed predators, demonstrating the utility of
cover crops to promote weed seed predation by increasing seed
predator activity-density, as well as increasing per-capita predation
frequency (Blubaugh etal. 2016).
Resource-MediatedEffects
Vegetative cover supports higher densities of natural enemies through
provision of alternate food sources, including plant-based resources,
such as pollen, nectar, and seeds, and weed-attracted or -associ-
ated herbivore and detritivore prey (Lövei and Sunderland 1996,
Birkhofer etal. 2008, Bohan 2011, Diehl etal. 2012, Holland etal.
2016, Ng et al. 2018). The presence of insects on weeds may sup-
port populations of benecial insects that can spill over onto crops
and help suppress pests. Omnivory is common among generalist
predators in agroecosystems, and weeds can contribute to a broad
diet that supports the persistence of omnivores despite seasonal dis-
turbances and food scarcity (Eubanks and Denno 1999). In addition
to arthropod prey, generalist arthropod predators and omnivores
consume a wide range of plant-based foods, although some omniv-
orous and granivorous predator species have preferences for seeds
of particular weed species (Lundgren et al. 2013, Honěk etal. 2007,
Sasakawa 2010, Sarabi etal. 2019). Diehl etal. (2012) examined
the effects of arable weeds in an organically-managed wheat eld
and found that the presence of arable weeds fosters carabid activity-
density and species richness via resource-mediated effects, such as a
higher availability of weed-borne resources (e.g., seeds and pollen),
as well as arthropodprey.
The adult stage of many predators and parasitoids feed on
nectar from owers or from extraoral nectaries and it is well docu-
mented that natural enemies can survive longer and produce more
viable offspring when they are provided with plant-based food re-
sources than in the absence of those resources (rev. in Gurr etal.
2016, 2017). The presence of weeds, especially those with accessible
nectar from owers or extraoral nectaries enhances the survival
of benecial insects that can assist in biological control of pests.
For example, many predatory insects with piercing-sucking mouth-
parts, such as the insidious ower bugs and minute pirate bugs
(Hemiptera:Anthocoridae) are facultative predators, feeding prefer-
entially on insects but also imbibing plant sap and nectar. In addition
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
284 Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
to the benets of weeds on natural enemies of pest insects, weeds af-
fect the activities of pollinators. Pollinators collect nectar and pollen,
and often are not abundant in the absence of weeds (Requier etal.
2015, Rollin etal. 2016).
Supporting Disservices of Weed–Insect Interactions:
Biodiversity
Even though weeds contribute to ecosystem services supported
by biodiversity and structural complexity in cropping systems, as
the primary pest in annual agroecosystems, weeds are the focus
of intensive and extensive management to reduce their numbers
and their negative impacts on provision of ecosystem services
(rev. in Vaz et al. 2017, Chauhan 2020). The most frequently
documented negative impact of weeds in agroecosystems is com-
petition for resources with other plant species (Maxwell 2018)
and the support of phytopathogens and crop pests (Norris and
Kogan 2005). In a study of weed-invertebrate relationships across
seven studies of winter-sown wheat spanning 18 yr, Smith etal.
(2020) found that herbivores showed a stronger positive relation-
ship with weed cover than did predators. The authors suggested
that this result was expected because herbivores rely on the re-
sources provided by weeds whereas the response of predatory spe-
cies is likely to be mediated by their prey. Increased fecundity of
pests has been observed when weeds were present, due to nectar
obtained by the adults, which has led to the question by some of
the utility of leaving weeds as a source of nectar for benecial in-
sects (Shields etal. 2019). Ng (2018) suggested that the mixed re-
sponses of herbivores and predators to plant species composition
or vegetation structure include that a high proportion of herbiv-
orous beetles may be attracted to plant species that are largely
limited to habitat edges, e.g., Blue cranesbill (Erodium crinitum,
Geraniaceae), tumbleweed (Salsola australis, Amaranthaceae) and
wild mustard (Sisymbrium sp., Brassicaceae). Herbivores may al-
locate more time to foraging in complex habitats because they
provide protection from predators through consumptive and non-
consumptive effects (Langellotto and Denno 2004, Blubaugh etal.
2017, Hermann and Landis 2017).
There can be negative effects associated with insect feeding on
weeds if the insect does not restrict its feeding to weeds. In their re-
view, Norris and Kogan (2005) supplied several specic examples of
weeds serving as hosts for pest arthropods. Oligophagous and pol-
yphagous herbivores can move from weeds to crop plants, potentially
causing crop damage. For example, neonate European corn borer,
Ostrinia nubilalis (Hübner) (Lepidoptera: Crambidae), is a polypha-
gous pest of corn in the United States. In feeding preference assays,
neonate European corn borer readily accepted foliage of several
common weed species found in corn elds, including Pennsylvania
smartweed (Polygonum pennsylvanicum (L.)), swamp smart-
weed (Polygonum amphibium L.), velvetleaf (Abutilon theophrasti
Medicus), cocklebur (Xanthium strumarium L.) and yellow foxtail
(Setaria glauca (L.)) (Tate etal. 2006). Specialist herbivores that feed
on weeds that are closely related to crops represent a particular risk
for attacking those crops (Capinera 2005), and insect species that
prefer weeds may damage crops readily in the absence of attractive
weeds. For example, the Colorado potato beetle, Leptinotarsa
decemlineata (Say), an economic pest of potato, prefers to oviposit
on hairy nightshade (Solanum sarrachoides Sendtner) rather than on
potato (S.tuberosum (L.)), and eggs are less abundant on potato in
the presence of nightshade (Horton and Capinera 1990). In the ab-
sence of solanaceous weeds, Colorado potato beetle readily oviposits
and develops on potato foliage, often causing extensivedamage.
Complex landscapes with numerous eld edges provide stable
habitats, such as unplowed refuges or natural vegetation bordering
or dividing cultivated areas. Interactions between relatively stable
areas and highly disturbed annual crop elds can inuence within-
eld diversity and abundance of natural enemies. However, non-crop
and edge habitats can also provide resources for arthropod pests
that can move into crops (Tscharntke etal. 2012, 2016). Therefore,
balancing the functional contributions of weeds in eld edges and
non-crop habitats while minimizing disservices requires consider-
ation of spatial arrangements. For example, Colbach etal. (2018)
used a simulation model to determine optimal approaches to maxi-
mize crop productivity and weeds in a soybean/maize/wheat/maize
rotation. The authors found that a land-sparing scenario (landscape
management) designed to maximize crop production by maximizing
biodiversity (25% of the landscape devoted to non-crop area) or
grass strips (10% of the landscape) were best, resulting in high crop
production and medium biodiversity at the landscape scale. Land-
sharing scenarios attempting to maximize both productivity and bio-
diversity within the same eld always produced less biodiversity and
less production (Colbach etal. 2018).
Generalist predators and specialized parasitoids may respond
to plant diversity and habitat structure differently and some studies
have demonstrated that habitat complexity negatively impacts nat-
ural enemy abundance and efciency. For example, Tscharntke
etal. (2008) demonstrated that although generalist natural enemy
diversity was preserved in complex landscapes, specialized natural
enemies were not, because of specic habitat or resource needs.
Structurally complex agricultural habitats negatively impacted the
hunting behavior or limited the ability of predators, such as lady bee-
tles, to visually search for prey (Legrand and Barbosa 2003). Weed
diversity had little impact on predation by generalist predators in
eld corn (Wilson etal. 2004) but reduced specialized natural enemy
populations in canola (Brassica napus L., Brassica rapa L.) (Broatch
etal. 2010). Although vegetative cover can support higher densities
of natural enemies by providing a favorable microclimate and pro-
visions of non-pest food (Diehl etal. 2012), alternate foods may dis-
tract natural enemies from focal pest suppression (Frank etal. 2011).
If weed species are preferred over an adjacent crop, the weeds may
act as a barrier or a trap crop (Andow 1991). Benecial effects of
weeds on arthropod communities must be weighed against potential
negative effects on crop quality and yield.
Summary and Identification of KnowledgeGaps
Weeds, insects and their interactions can have positive or negative
effects on ecosystem services and the functioning of agroecosystems.
Weeds can support regulating services (biological control, pollin-
ation) and supporting services (e.g., biodiversity) that can improve
agricultural production and restore biodiversity in agroecosystems.
In some situations, weed–insect interactions supply disservices (e.g.,
increase in weed fecundity and abundance, crop and cover crop seed
consumption, maintenance of phytopathogen and insect pest popu-
lations). Our challenge is to design and manage cropping systems
and agricultural landscapes that can deliver services that support
crop productivity without causing damaging populations of weed
and insect pests that lead to loss of crop yield and/or quality. Meeting
this challenge will require a paradigm shift in current pest manage-
ment practices within production systems that rely extensively on
herbicides and tillage to control weeds and pre-emptive applications
of broad-spectrum insecticides to control insect pests. In a recent re-
view, MacLaren etal. (2020) suggest that a renewed and persistent
focus on managing weeds at the agroecosystem level to regulate,
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
285Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
rather than eradicate, weed populations is needed to conserve eco-
system services provided by weeds while preventing disservices such
as crop yield loss. The simplication of agricultural systems remains
a signicant barrier to realizing more ecosystem services than disser-
vices from weed–insect interactions. However, the growing emphasis
on soil health building practices that couple diverse crop rotations,
use of cover crops to promote continuous living cover, and reduced
tillage practices offer opportunities for promoting more sustainable
forms of pest regulation.
Within this context, additional research is needed to develop
strategies for maintaining weed and insect diversity at levels capable
of delivering meaningful levels of ecosystem services. At landscape
scales, greater understanding of how land use intensity and com-
plexity inuence weed–insect interactions could inform the devel-
opment of pest management practices. At eld scales, concentrated
efforts to design and manage eld-edge habitats is needed to attract
benecial insects for conservation biological control of insects and
weeds, and for pollination services.
Improved management of eld margins and adjacent non-crop
habitat to increase positive weed–insect functional interactions or
decrease the expression of disservices likely offers greater potential
to conserve weed and insect diversity than within-eld manage-
ment practices. However, renewed interest in intercropping practices
(Brooker etal. 2015, Bybee-Finley and Ryan 2018), where multiple
crops species (e.g., multiple cash crops, or cash and cover crops)
are grown at the same time and place offer signicant opportun-
ities for manipulating weed–insect functional interactions. At a crop-
ping system scale, several crop and soil management practices (e.g.,
crop species and varieties, types and timing of disturbance) may be
manipulated to regulate weed–insect interactions. Crop production
practices that break the taxonomic association between the crop and
the weeds that are co-located, for example, through crop rotations
that diversify timing of disturbances, make it less likely that insects
will move from weed to crop plants, that damaging population
densities of insects will develop in the eld, and that insect vectors
that transmit plant diseases will be harbored in the eld (Cardina
etal. 2002, Gallandt 2006).
Research focusing on cash- and cover- crop residue manage-
ment should seek to understand how surface and incorporated
residue management strategies inuence microhabitats for weed
and insect predators. Though use of economic thresholds to govern
herbicide applications for weed control is generally viewed as im-
practical due to the growth and persistence of weed seedbanks
generated by weeds left uncontrolled, other weed-management
strategies should be considered to foster greater functional weed
diversity at eld scales. Identication of management strategies
that select for weeds that are less competitive per capita, thereby
producing negligible effects on crop yields, but provide ecosystem
services (e.g., pollination support of natural enemies) should be
explored. Weed-management systems that employ multiple low-
intensity and asynchronous selection pressures (i.e., many little
hammers) on weed communities are more likely to promote func-
tional weed diversity compared to weed management systems that
rely exclusively on intensive selection pressure associated with
broad-spectrum herbicides.
One relatively unexplored area is the chemical ecology of
weed–insect interactions. There is evidence that weeds chemically
interact with other weeds and crop plants and affect plant–insect
interactions. For example, root herbivory on spotted knapweed,
C. maculosa, increased exudation of the avanol (±)-catechin, an
allelopathic agent that negatively affects other plant species (Thelen
et al. 2005). However, herbivory by a phloem-feeding aphid re-
duced the allelopathic activity of goatweed, Ageratum conyzoides
L. (Asteraceae) (Kong et al. 2002). Barley (Hordeum vulgare L.,
Poaceae) plants exposed to root exudates from couch grass, Elytrigia
repens (L.) Desv. ex Nevski (Poaceae), and volatiles from bull thistle,
Cirsium vulgare (Savi) Ten. (Asteraceae) became less acceptable
to pest aphids of cereals (Glinwood et al. 2004, 2011). Exposure
to volatiles from lambsquarters, C. album, reduced aphid settling
on barley in the laboratory and in the eld (Ninkovic etal. 2009).
Research to further elucidate the impact of the chemical ecology of
weed–insect interactions on damage from insects and other pests
and on crop productivity could inform design of weed-management
strategies to promote ecosystem services and avoid promoting insect
pest populations.
Because the same weed species can produce both ecosystem
services and disservices, research is also needed to assess manage-
ment options for ambiguous weed–insect interactions. For example,
pollinator declines over the last decades have resulted in loss of pol-
lination services that can result in negative ecological and economic
impacts on wild plant diversity, wider ecosystem stability, crop pro-
duction, food security and human welfare (Potts etal. 2010a,b,c).
However, pollination of weeds can potentially lead to their greater
fecundity and abundance, resulting in greater management costs and
loss of crop productivity. Annual agroecosystems employ owering
cover crops to provide a broad suite of ecosystem services, but
that can also become weeds. For example, buckwheat, Fagopyrum
esculentum Moench, is a short-duration crop and cover crop that
readily drops seed before harvest, often resulting in volunteer buck-
wheat plants in the following crop (Lyon etal. 2019). Buckwheat
can act as a potent allergen, and some importers of U.S.wheat have
a near-zero tolerance for buckwheat in grain shipments (Machado
etal. 2020). Honey bees are frequently the most abundant pollin-
ators of buckwheat (Bjorkman 1995) and consumer demand for
monooral honeys has increased in recent years because of their
avor and pharmacological properties. High-quality honey produced
from buckwheat nectar commands a price premium (Machado etal.
2020). Therefore, land managers may need to consider the relative
impact of management on crop productivity, and pollinator conser-
vation and exploitation on short- and long-term protability in their
particular context.
Overall, research that provides tools and frameworks (e.g.,
Dille etal. 2002, Schipanski etal. 2014, 2017; Finney etal. 2017;
Rodriguez etal. 2018) that allow farmers and managers to estimate
risk within their local and regional context and exploit ecosystem
services provided by weed–insect interactions while minimizing
disservices could improve the sustainability of annual cropping
systems. For example, DiTommaso etal. (2016) introduced a weed-
management decision framework that accounts for benets from
common milkweed, Asclepias syriaca L., in maize, and demonstrates
how in-crop weeds can indirectly increase crop yields by harboring
alternate insect hosts that support natural enemies of the European
corn borer, Ostrinia nubilalis (Hübner). At the same time, this frame-
work evaluates the role of milkweed in providing resources to the
monarch buttery, Danaus plexippus L., a charismatic insect whose
sole larval food is milkweed. Analytical frameworks such as those
that use a holistic approach and integrate the management of mul-
tiple crop pests and benecial organisms can potentially improve
decision-making that balances ecosystem services and disserves in
annual agroecosystems.
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
286 Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
ReferencesCited
Albajes,R., B.Lumbierres, and X.Pons. 2009. Responsiveness of arthropod
herbivores and their natural enemies to modied weed management in
corn. Environ. Entomol. 38: 944–954.
Alexander, H. M., K. E. Mauck, A. E. Whiteld, K. A. Garrett,
and C. M. Malmstrom. 2014. Plant-virus interactions and the
agro-ecological interface. Eur. J.Plant Pathol. 138:529–547. doi:10.1007/
s10658-013-0317-1
Ali,J. G., and A.A.Agrawal. 2012. Specialist versus generalist insect herbi-
vores and plant defense. Trends Plant Sci. 17: 293–302.
Amoabeng, B. W., P. C. Stevenson, B. M. Mochiah, K. P. Asare, and
G. M. Gurr. 2020. Scope for non-crop plants to promote conservation
biological control of crop pests and serve as sources of botanical insecti-
cides. Sci. Rep. 10: 6951.
Andow, D. A. 1991. Vegetational diversity and arthropod population re-
sponse. Ann. Rev. Entomol. 36: 561–586. doi:10.1146/annurev.
en.36.010191.003021
Angellella, G. M., J.D. Holland, and I. Kaplan. 2016. Landscape compos-
ition is more important than local management for crop virus-insect
vector interactions. Agric. Ecosyst. Environ. 233: 253–261. doi:10.1016/j.
agee.2016.09.019
Araj,S.E., M.W.Shields, and S.D.Wratten. 2019. Weed oral resources and
commonly used insectary plants to increase the efcacy of a whitey para-
sitoid. BioControl 64: 553–561. doi:10.1007/s10526-019-09957-x
Bàrberi,P., G.Burgio, G.Dinelli, A. C. Moonen, S.Otto, C. Vazzana, and
G. Zanin. 2010. Functional biodiversity in the agricultural landscape:
relationships between weeds and arthropod fauna. Weed Research 50:
388–401. doi:10.1111/j.1365-3180.2010.00798.x
Baude,M., W.E.Kunin, N.D.Boatman, S.Conyers, N.Davies, M.A.Gillespie,
R.D.Morton, S.M. Smart, and J.Memmott. 2016. Historical nectar as-
sessment reveals the fall and rise of oral resources in Britain. Nature.
530: 85–88.
Belz, E., M. Kölliker, and O. Balmer. 2013. Olfactory attractiveness of
owering plants to the parasitoid Microplitis mediator: potential impli-
cations for biological control. BioControl 58: 163–173. doi:10.1007/
s10526-012-9472-0
de Bello, F., S. Lavorel, S. az, R. Harrington, J. H. C. Cornelissen,
R.D.Bardgett, M.P.Berg, P.Cipriotti, C.K.Feld, D.Hering, etal. 2010.
Towards an assessment of multiple ecosystem processes and services
via functional traits. Biodivers. Conserv. 19: 2873–2893. doi:10.1007/
s10531-010-9850-9
Bennett, E. M., G. D.Peterson, and L. J. Gordon. 2009. Understanding
relationships among multiple ecosystem services. Ecol. Lett. 12:
1394–1404.
Biesmeijer, J. C., S. P. Roberts, M. Reemer, R. Ohlemüller, M. Edwards,
T.Peeters, A.P.Schaffers, S. G.Potts, R.Kleukers, C.D.Thomas, etal.
2006. Parallel declines in pollinators and insect-pollinated plants in Britain
and the Netherlands. Science. 313: 351–354.
Birkhofer. K., D. H. Wise, and S. Scheu. 2008. Subsidy from the detrital
food web, but not microhabitat complexity, affects the role of generalist
predators in an aboveground herbivore food web. Oikos 117: 494–500.
doi:10.1111/j.0030-1299.2008.16361.x
Birthisel, S. K., E. R. Gallandt, and R. Jabbour. 2014. Habitat effects on
second-order predation of the seed predator Harpalus rupes and im-
plications for weed seedbank management. Biol. Control 70: 65–72.
doi:10.1016/j.biocontrol.2013.12.004
Björkman, T. 1995. Role of honey bees (Hymenoptera:Apidae) in the pol-
lination of buckwheat in Eastern North America. J. Econ. Entomol. 88:
1739–1745
Blaix,C., A.C.Moonen, D.F.Dostatny, J.Izquierdo, J.LeCorff, J.Morrison,
C. Von Redwitz, M. Schumacher, and P. R. Westerman. 2018.
Quantication of regulating ecosystem services provided by weeds in an-
nual cropping systems using a systematic map approach. Weed Res. 58:
151–164. doi:10.1111/wre.12303
Blanc,S., M.Uzest, and M.Drucker. 2011. New research horizons in vector-
transmission of plant viruses. Curr. Opin. Microbiol. 14: 483–491.
Blubaugh,C., and I.Kaplan. 2015. Tillage compromises weed seed predator
activity across developmental stages. Biol. Contr. 81: 76–82. doi:10.1016/j.
biocontrol.2014.11.007
Blubaugh,C.K., J. R. Hagler, S.A. Machtley, and I. Kaplan. 2016. Cover
crops increase foraging activity of omnivorous predators in seed patches
and facilitate weed biological control. Agric. Ecosyst. Environ. 231: 264–
270. doi:10.1016/j.agee.2016.06.045
Blubaugh,C.K., I.V.Widick, and I.Kaplan. 2017. Does fear beget fear? Risk-
mediated habitat selection triggers predator avoidance at lower trophic
levels. Oecologia. 185: 1–11.
Blubaugh,C. K., J.A.Asplund, O.M.Smith, and W.E.Snyder. 2021. Does
the ‘Enemies Hypothesis’ operate by enhancing natural enemy evenness?
Biol. Contr. 104464. doi:10.1016/j.biocontrol.2020.104464
Bohan,D.A., A.Boursault, D.R.Brooks, and S.Petit. 2011. National-scale
regulation of the weed seedbank by carabid predators. J. Appl. Ecol. 48:
888–898. doi:10.1111/j.1365-2664.2011.02008.x
Bretagnolle, V., and S. Gaba. 2015. Weeds for bees? A review. Agron.
Sustainable Dev. 35: 891–909. doi:10.1007/s13593-015-0302-5
Broatch, J. S., L. M. Dosdall, J. T. O’Donovan, K. N. Harker, and
G.W.Clayton. 2010. Responses of the specialist biological control agent,
Aleochara bilineata, to vegetational diversity in canola agroecosystems.
Biol. Control 52: 58–67. doi:10.1016/j.biocontrol.2009.08.009
Brooker, R. W., A. E. Bennett, W. F. Cong, T. J. Daniell, T. S. George,
P. D.Hallett, C.Hawes, P. P.Iannetta, H. G. Jones, A.J. Karley, etal.
2015. Improving intercropping: a synthesis of research in agronomy, plant
physiology and ecology. New Phytol. 206: 107–117.
Bybee-Finley,K.A., and M.R.Ryan. 2018. Advancing intercropping research
and practices in industrialized agricultural landscapes. Agriculture 8: 80.
doi:10.3390/agriculture8060080
Cameron,S.A., J.D.Lozier, J.P. Strange, J.B.Koch, N.Cordes, L.F.Solter,
and T. L. Griswold. 2011. Patterns of widespread decline in North
American bumble bees. Proc. Natl. Acad. Sci. U.S. A. 108: 662–667.
Capinera,J.L. 2005. Relationships between insect pests and weeds: an evolu-
tionary perspective. Weed Sci. 53: 892–901. doi:10.1614/WS-04-049R.1
Cardina, J., C. P. Herms, and D. J. Doohan. 2002. Crop rotation and
tillage system effects on weed seedbanks. Weed Sci. 50: 448–460.
doi:10.1614/0043-1745(2002)050[0448:CRATSE]2.0.CO;2
Cardinale,B.J., K.Nelson, and M.A.Palmer. 2000. Linking species diversity
to the functioning of ecosystems: on the importance of environmental con-
text. Oikos 91: 175–183. doi:10.1034/j.1600-0706.2000.910117.x
Carmona, D. M., F. D. Menalled, and D. A. Landis. 1999. Gryllus
pennsylvanicus (Orthoptera: Gryllidae): laboratory weed seed preda-
tion and within eld activity-density. J. Econ. Entomol. 92: 825–829.
doi:10.1093/jee/92.4.825
Carrière,Y., B.Degain, K.A. Harteld, K. D.Nolte, S.E. Marsh, C. Ellers-
Kirk, W.J.VanLeeuwen, L.Liesner, P.Dutilleul, and J.C.Palumbo. 2014.
Assessing transmission of crop diseases by insect vectors in a landscape
context. J. Econ. Entomol. 107: 1–10.
Carvalheiro, L. G., R. Veldtman, and A. G. Shenkute. 2011. Natural
and within-farmland biodiversity enhances crop productivity:
weeds maximize nature benets to crops. Ecol. Lett. 14: 251–259.
doi:10.1111/j.1461-0248.2010.01579.x
Chaplin-Kramer,R., M.E.O’Rourke, E. J.Blitzer, and C. Kremen. 2011. A
meta-analysis of crop pest and natural enemy response to landscape com-
plexity. Ecol. Lett. 14: 922–932.
Chauhan,B.S. 2020. Grand challenges in weed management. Front. Agron. 1:
3. doi:10.3389/fagro.2019.00003
Clain,S.B., L.E.Jones, J.S.Thaler, and A.G.Power. 2017. Crop-dominated
landscapes have higher vector-borne plant virus prevalence. J. Appl. Ecol.
54: 1190–1198. doi:10.1111/1365–2664.12831
Colbach, N., S. Cordeaua., A. Garrido, S. Granger, D. Laughlin, B. Ricci,
F.Thomson, and A.Messéane. 2018. Landsharing vs landsparing: how to
reconcile crop production and biodiversity? Asimulation study focusing
on weed impacts. Agric. Ecosyst. Environ. 251: 203–217. doi:10.1016/j.
agee.2017.09.005
Crews,T.E., J.Blesh, S.W.Culman, R.C.Hayes, E.S.Jensen, M.C.Mack,
M.B.Peoples, and M.E. Schipanski. 2016. Going where no grains have
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
287Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
gone before: from early to mid-succession. Agric. Ecosyst. Environ. 223:
223–238. doi:10.1016/j.agee.2016.03.012
Day, M. D., and A. B. R. Witt. 2019. Weed biological control: chal-
lenges and opportunities. Weeds - Journal of Asian-Pacic Weed
Science Society 1: 34–44. https://weeds-apwss.scholasticahq.com/
article/11532-weed-biological-control-challenges-and-opportunities
DeSousa,N., J.T.Grifths, and C.J. Swanton. 2003. Predispersal seed pre-
dation of redroot pigweed (Amaranthus retroexus). Weed Sci. 51: 60–68.
doi:10.1614/0043-1745(2003)051[0060:PSPORP]2.0.CO;2
Detrain,C., and O.Tasse. 2000. Seed drops and caches by the harvester ant
Messor barbarus: do they contribute to seed dispersal in Mediterranean
grasslands? Naturwissenschaften. 87: 373–376.
Deutsch,C. A., J.J.Tewksbury, M. Tigchelaar, D.S.Battisti, S.C.Merrill,
R.B.Huey, and R.L.Naylor. 2018. Increase in crop losses to insect pests
in a warming climate. Science. 361: 916–919.
Dhaliwal, G. S., V. Jindal, and B. Mohindru. 2015. Crop losses to in-
sect pests: global and Indian scenario. Indian J.Entomol. 77: 165–168.
doi:10.5958/0974-8172.2015.00033.4
Diehl,E., V.Wolters, and K.Birkhofer. 2012. Arable weeds in organically man-
aged wheat elds foster carabid beetles by resource- and structure-mediated
effects. Arthropod Plant Interact. 6: 75–82. doi:10.1007/s11829-011-9153-4
Dille,J.A., D.A.Mortensen, and L.J.Young 2002. Predicting weed species
occurrence based on site properties and previous year’s weed presence.
Precision Agric. 3: 193–207. doi:10.1023/A:1015596518147
Ditommaso, A., K. Averill, M. Hoffmann, J. Fuchsberg, and J. Losey.
2016. Integrating insect, resistance, and oral resource management
in weed control decision-making. Weed Sci. 64: 743–756. doi:10.1614/
WS-D-16-00052.1
Duffus,J.E. 1971. Role of weeds in the incidence of virus diseases. Ann. Rev.
Phytopathol. 9: 319–340. doi:10.1146/annurev.py.09.090171.001535
Eigenbrode,S.D., N.A. Bosque-Pérez, and T. S. Davis. 2018. Insect-borne
plant pathogens and their vectors: ecology, evolution, and complex inter-
actions. Annu. Rev. Entomol. 63: 169–191.
Ellis,E.J.D., J.D.Evans, and J.Pettis. 2010. Colony losses, managed colony
population decline, and colony collapse disorder in the United States. J.
Apic. Res. 49:134–136. doi:10.3896/IBRA.1.49.1.30
Eraud,C., E.Cadet, T.Powolny, S.V.Gaba, V.Bretagnolle, and F.Bretagnolle.
2015. Weed seeds, not grain, contribute to the diet of wintering skylarks
in arable farmlands of Western France. Eur. J.Wildl. Res. 61: 151–161.
doi:10.1007/s10344-014-0888-y
Eubanks,M.D., and R.F.Denno. 1999. The ecological consequences of vari-
ation in plants and prey for an omnivorous insect. Ecology 80: 1253–
1266. doi:10.1890/0012-9658(1999)080[1253:TECOVI]2.0.CO;2
Evans, T. A., and P. V. Gleeson. 2016. Direct measurement of ant preda-
tion of weed seeds in wheat cropping. J. Appl. Ecol. 53: 1177–1185.
doi:10.1016/j.agee.2016.09.019
Ewald, J. A., C. J. Wheatley, N. J. Aebischer, S. J.Moreby, S. J.Dufeld,
H.Q.Crick, and M.B.Morecroft. 2015. Inuences of extreme weather,
climate and pesticide use on invertebrates in cereal elds over 42years.
Glob. Chang. Biol. 21: 3931–3950.
Foley,J. A., R. Defries, G.P.Asner, C.Barford, G.Bonan, S.R.Carpenter,
F.S.Chapin, M.T.Coe, G.C.Daily, H.K.Gibbs, etal. 2005. Global con-
sequences of land use. Science. 309: 570–574.
Fox,A.F., S.C.Reberg-Horton, D.B.Orr, C.E.Moorman, and S.D.Frank.
2013. Crop and eld border effects on weed seed predation in the
southeastern US coastal plain. Agric. Ecosyst. Environ. 177: 58–62.
doi:10.1016/j.agee.2013.06.006
Finney,D.M., E.G. Murrell, C. M.White, B.Baraibar, M. E.Barbercheck,
B.A.Bradley, S.Cornelisse, M.C. Hunter, J. P.Kaye, D.A.Mortensen,
etal. 2017. Ecosystem services and disservices are bundled in simple and
diverse cover cropping systems. Agric. Environ. Lett. 2: 1–5. doi:10.2134/
ael2017.09.0033
Frank,S.D., P.M.Shrewsbury, and R.F.Denno. 2011. Plant versus prey re-
sources: inuence on omnivore behavior and herbivore suppression. Biol.
Control 57: 229–235. doi:10.1016/j.biocontrol.2011.03.004.
Franke,A.C., L. A.P.Lotz, W.J.vanderBurg, and L.vanOverbeek. 2009.
The role of arable weed seeds for agroecosystem functioning. Weed
Research 49: 131–141. doi:10.1111/j.1365-3180.2009.00692.x
Fried, G., L. R. Norton, and X. Reboud. 2008. Environmental and man-
agement factors determining weed species composition and diver-
sity in France. Agric. Ecosyst. Environ. 128:68–76. doi:10.1016/j.
agee.2008.05.003
Fried, G., B. Chauvel, and X. Reboud. 2009a. A functional analysis of
large scale temporal shifts from 1970 to 2000 in weed assemblages
of sunower crops in France. J. Veget. Sci. 20: 49–58. doi:10.1111/j.
1654-1103.2009.05284.x
Fried,G., S.Petit, F.Dessaint, and X.Reboud. 2009b. Arable weed decline
in Northern France: crop edges as refugia for weed conservation? Biol.
Conserv. 142: 238–243. doi:10.1016/j.biocon.2008.09.029
Fried, G., E. Kazakou, and S.Gaba. 2012. Trajectories of weed communi-
ties explained by traits associated with species’ response to manage-
ment practices. Agric. Ecosyst. Environ. 158: 147–155. doi:10.1016/j.
agee.2012.06.005
Gabriel,D., C.Thies, and T.Tscharntke. 2005. Local diversity of arable weeds
increases with landscape complexity. Perspect. Plant Ecol. Evol. Syst. 7:
85–93. doi:10.1016/j.ppees.2005.04.001
Gallai, N., J. M. Salles, J. Settele, and B.E. Vaissiere. 2009. Economic
valuation of the vulnerability of world agriculture confronted with
pollinator decline. Ecol. Econom. 68: 810–821. doi:10.1016/j.
ecolecon.2008.06.014
Gallandt,E. 2006. How can we target the weed seedbank? Weed Sci. 54: 588–
596. doi:10.1614/WS-05-063R.1
Garibaldi,L.A., I.Steffan-Dewenter, C.Kremen, J.M.Morales, R.Bommarco,
S.A. Cunningham, L. G.Carvalheiro, N. P.Chacoff, J.H.Dudenhöffer,
S. S. Greenleaf, et al. 2011. Stability of pollination services decreases
with isolation from natural areas despite honey bee visits. Ecol. Lett. 14:
1062–1072.
Gering, J. C., and T. O.Crist. 2002. The alpha–beta–regional relationship:
providing new insights into local–regional patterns of species richness
and scale dependence of diversity components. Ecol. Letters 5: 433–444.
doi:10.1046/j.1461-0248.2002.00335.x
Gibson,R.H., I.L.Nelson, G.W.Hopkins, B.J.Hamlett, and J.Memmott.
2006. Pollinator webs, plant communities and the conservation of
rare plants: arable weeds as a case study. J. Appl. Ecol. 43: 246–257.
doi:10.1111/j.1365-2664.2006.01130.x
Glinwood, R., V. Ninkovic, J. Pettersson, and E. Ahmed. 2004. Barley
exposed to aerial allelopathy from thistles (Cirsium spp.) be-
comes less acceptable to aphids. Ecol. Entomol. 29: 188–195.
doi:10.1111/j.0307-6946.2004.00582.x
Glinwood, R., V. Ninkovic, and J. Pettersson. 2011. Chemical interaction
between undamaged plants–effects on herbivores and natural enemies.
Phytochem. 72: 1683–1689.
Gontijo, L. M. 2019. Engineering natural enemy shelters to enhance con-
servation biological control in eld crops. Biol. Contr. 130: 155–163.
doi:10.1016/j.biocontrol.2018.10.014
González-Varo,J.P., J.C.Biesmeijer, R.Bommarco, S.G.Potts, O.Schweiger,
H. G. Smith, I. Steffan-Dewenter, H. Szentgyörgyi, M. Woyciechowski,
and M. Vilà. 2013. Combined effects of global change pressures on
animal-mediated pollination. Trends Ecol. Evol. 28: 524–530.
Grifn, M. L., and K. V. Yeargan. 2002. Oviposition site selection by the
spotted lady beetle Coleomegilla maculata (Coleoptera: Coccinellidae):
choices among plant species. Environ. Entomol. 31: 107–111.
doi:10.1603/0046-225X-31.1.107
Groves,R.L., J.F.Walgenbach, J.W.Moyer, and G.G.Kennedy. 2002. The
role of weed hosts and tobacco thrips, Frankliniella fusca, in the epidemi-
ology of tomato spotted wilt virus. Plant Dis. 86: 573–582.
Gurr,G. M., Z.Lu, X. Zheng, H.Xu, P.Zhu, G.Chen, X.Yao, J. Cheng,
Z.Zhu, J.L. Catindig, et al. 2016. Multi-country evidence that crop di-
versication promotes ecological intensication of agriculture. Nat. Plants
2: 16014.
Gurr,G.M., S.D. Wratten, D.A.Landis, and M.You. 2017. Habitat man-
agement to suppress pest populations: progress and prospects. Ann. Rev.
Entomol. 6:91–109. doi:10.1146/annurev-ento-031616-035050
Hanley,N., T.D.Breeze, C.Ellis, and D.Goulson. 2015. Measuring the eco-
nomic value of pollination services: principles, evidence and knowledge
gaps. Ecosys. Serv. 14: 124–132. doi:10.1016/j.ecoser.2014.09.013
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
288 Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
Harvey, J. A., T. Bukovinszky, and W. H. van der Putten. 2010.
Interactions between invasive plants and insect herbivores: a plea for a
multitrophic perspective. Biol. Conserv. 143: 2251–2259. doi:10.1016/j.
biocon.2010.03.004
Hermann,S.L., and D.A.Landis. 2017. Scaling up our understanding of non-
consumptive effects in insect systems. Curr. Opin. Insect Sci. 20: 54–60.
Highland,H.B., and J. E.Roberts, Sr. 1987. Feeding preferences and con-
sumption rates of stalk borer (Lepidoptera:Noctuidae) larvae using plants
found in no-till corn. Environ. Entomol. 16: 1235–1240. doi:10.1093/
ee/16.6.1235
Hinz,H.L., R. L.Winston, and M.Schwarzländer. 2020. A global review of
target impact and direct nontarget effects of classical weed biological con-
trol. Curr. Opin. Insect Sci. 38: 48–54.
Hoehn, P., T.Tscharntke, J. M. Tylianakis, and I.Steffan-Dewenter. 2008.
Functional group diversity of bee pollinators increases crop yield. Proc.
Biol. Sci. 275: 2283–2291.
Holland,J.M., F.J.Bianchi, M.H.Entling, A.C.Moonen, B.M.Smith, and
P.Jeanneret. 2016. Structure, function and management of semi-natural
habitats for conservation biological control: a review of European studies.
Pest Manag. Sci. 72: 1638–1651.
Holzschuh,A., I.Steffan-Dewenter, and T.Tscharntke. 2010. How do land-
scape composition and conguration, organic farming and fallow strips
affect the diversity of bees, wasps and their parasitoids? J. Anim. Ecol.
79: 491–500.
Honěk,A., and V.Jarošík. 2000. The role of crop density, seed and aphid pres-
ence in diversication of eld communities of Carabidae (Coleoptera). Eur.
J.Entomol. 97: 517–525. doi: 10.14411/eje.2000.080
Honěk,A., Z.Martinkova, P.Saska, and S.Pekar. 2007. Size and taxonomic
constraints determine the seed preferences of Carabidae (Coleoptera).
Basic. Appl. Ecol. 8: 343–353. doi:10.1016/j.baae.2006.07.002
Hopwood,J.L. 2008. The contribution of roadside grassland restorations to
native bee conservation. Biol. Conserv. 141: 2632–2640. doi:10.1016/j.
biocon.2008.07.026
Horton,D.R., and J.L.Capinera. 1990. Host utilization by Colorado po-
tato beetle (Coleoptera: Chrysomelidae) in a potato/weed (Solanum
sarrachoides Sendt) system. Can. Entomol. 122: 113–121. doi:10.4039/
Ent122113-1
Jabbour,R., T.Pisani-Gareau, R.G. Smith, C.Mullen, and M.Barbercheck.
2016. Tillage mediates legacy effects of cover crops on ground-dwelling
arthropods during organic transition. Renew. Agric. Food Syst. 31: 361–
374. doi:10.1017/S1742170515000290
Janssen, A., M. W. Sabelis, S. Magalhães, M. Montserrat, and
T.vanderHammen. 2007. Habitat structure affects intraguild predation.
Ecology 88: 2713–2719.
Kleiman,B., A.Primoli, S.Koptur, and K.Jayachandran. 2020. Weeds, pollin-
ators, and parasitoids - Using weeds for insect manipulation in agriculture.
J. Res. Weed Sci. 3: 382–390. doi:10.26655/JRWEEDSCI.2020.3.9
Klein,A.M., B.E.Vaissiere, J.H.Cane, I.Steffan-Dewenter, S.A.Cunningham,
C.Kremen, and T.Tscharntke. 2006. Importance of pollinators in chan-
ging landscapes for world crops. Proc. R.Soc. B-Biol. Sci. 274: 303–313.
doi:10.1098/rspb.2006.3721
Koch,R.L., D.T.Pezzini, A.P.Michel, and T.E.Hunt. 2017. Identication,
biology, impacts, and management of stink bugs (Hemiptera: Heteroptera:
Pentatomidae) of soybean and corn in the midwestern United States. J.
Integr. Pest Manage. 8: 11. doi:10.1093/jipm/pmx004
Kong,C., F.Hu, and X.Xu. 2002. Allelopathic potential and chemical con-
stituents of volatiles from Ageratum conyzoides under stress. J. Chem.
Ecol. 28: 1173–1182.
Kovács-Hostyánszki,A., A.Espíndola, A.J.Vanbergen, J.Settele, C.Kremen,
and L.V. Dicks. 2017. Ecological intensication to mitigate impacts of
conventional intensive land use on pollinators and pollination. Ecol. Lett.
20: 673–689. doi:10.1111/ele.12762
Kratina, P., R. M. LeCraw, T. Ingram, and B. R. Anholt. 2012. Stability
and persistence of food webs with omnivory: is there a general pattern?
Ecosphere 3: 1–18. doi:10.1890/ES12-00121.1
Kremer,R.J., and N.R.Spencer. 1989. Interaction of insects, fungi, and burial
on velvetleaf (Abutilon theophrasti) seed viability. Weed Technol. 3: 322–
328. doi:10.1017/S0890037X00031882
Kulkarni,S.S., L.M.Dosdall, and C.J.Willenborg. 2015. The role of ground
beetles (Coleoptera: Carabidae) in weed seed consumption: a review. Weed
Sci. 63: 355–376. doi:10.1614/WS-D-14-00067.1
Kulkarni,S.S., L.M.Dosdalla, J.R.Spence, and C.J.Willenborg. 2017. Field
density and distribution of weeds are associated with spatial dynamics
of omnivorous ground beetles (Coleoptera: Carabidae). Agric. Ecosys.
Environ. 236: 134–14. doi:10.1016/j.agee.2016.11.018
Landis,D., S. D.Wratten, and G.Gurr. 2000. Habitat manipulation to con-
serve natural enemies in arthropod pests in agriculture. Ann. Rev. Entomol.
45: 173–199. doi:10.1146/annurev.ento.45.1.175
Landis,D.A., F.D.Menalled, A.C.Costamagna, and T.K.Wilkinson. 2005.
Manipulating plant resources to enhance benecial arthropods in agri-
cultural landscapes. Weed Sci. 53: 902–908. doi:10.1614/WS-04-050R1.1
Langellotto, G. A., and R. F. Denno. 2004. Responses of invertebrate nat-
ural enemies to complex-structured habitats: a meta-analytical synthesis.
Oecologia. 139: 1–10.
Lavorel,S., J.Storkey, R.D. Bardgett, F.de Bello, M.P.Berg, X.Le Roux,
M.Moretti, C.Mulder, R.J.Pakeman, S.Dıaz, etal. 2013. A novel frame-
work for linking functional diversity of plants with other trophic levels
for the quantication of ecosystem services. J. Veg. Sci. 24: 942–948.
doi:10.1111/jvs.12083
Legrand, A., and P. Barbosa. 2003. Plant morphological complexity
impacts foraging efciency of adult Coccinella septempunctata
L. (Coleoptera: Coccinellidae). Environ. Entomol. 32: 1219–1226.
doi:10.1603/0046-225X-32.5.1219
Letourneau, D.K., and S. G. Bothwell. 2008. Comparisons of organic and
conventional farms: challenging ecologists to make biodiversity func-
tional. Front. Ecol. Environ. 6: 430–438. doi:10.1890/070081
Letourneau,D. K., I.Armbrecht, B.S.Rivera, J. M. Lerma, E. J. Carmona,
M.C.Daza, S.Escobar, V.Galindo, C.Gutiérrez, S.D.López, etal. 2011.
Does plant diversity benet agroecosystems? A synthetic review. Ecol.
Appl. 21: 9–21.
Lichtenberg, E. M., C. M. Kennedy, C. Kremen, P. Batáry, F. Berendse,
R. Bommarco, N. A. Bosque-Pérez, L. G. Carvalheiro, W. E. Snyder,
N.M.Williams, etal. 2017. A global synthesis of the effects of diversied
farming systems on arthropod diversity within elds and across agricul-
tural landscapes. Glob. Chang. Biol. 23: 4946–4957.
Liebman, M., and E. R. Gallandt. 1997. Many little hammers: ecological
management of agricultural weeds, pp. 291–343. In L.E.Jackson (ed.),
Ecology in agriculture. Academic Press, San Diego, CA.
Liu, B., Y. Long, Y.Yizhong, and L. Yanhui. 2016. Inuence of landscape
diversity and composition on the parasitism of cotton bollworm eggs in
maize. PLoS One 11: e0149476. doi:10.1371/journal.pone.0149476
Logan, T. J., R. Lal, and W. A. Dick. 1991. Tillage systems and soil
properties in North America. Soil Tillage Res. 20: 241–270.
doi:10.1016/0167-1987(91)90042-V
Loreau,M., N.Mouquet, and R.D. Holt. 2003. Meta-ecosystems: a theor-
etical framework for a spatial ecosystem ecology. Ecol. Lett. 6: 673–679.
doi:10.1046/j.1461-0248.2003.00483.x
Losey, J. E., and M. Vaughan. 2006. The economic value of eco-
logical services provided by insects. BioScience 56: 311–323.
doi:10.1641/0006-3568(2006)56[311:TEVOES]2.0.CO;2
Lövei,G. L., and K.D. Sunderland. 1996. Ecology and behavior of ground
beetles (Coleoptera:Carabidae). Ann. Rev. Entomol. 41: 231–236.
doi:10.1146/annurev.en.41.010196.001311
Lundgren,J.G., and K.A.Rosentrater. 2007. The strength of seeds and their
destruction by granivorous insects. Arthropod Plant Interact. 1: 93–99.
doi:10.1007/s11829-007-9008-1
Lundgren, J. G., P. Saska, and A. Honěk. 2013. Molecular approach to
describing a seed-based food web: the post-dispersal granivore commu-
nity of an invasive plant. Ecol. Evol. 3: 1642–1652.
Lyon,D.J., M.E. Thorne, P.Jha, V.Kumar, and T.Waters. 2019. Volunteer
buckwheat control in wheat. Crop, Forage & Turfgrass Mgmt. 5: 1–5.
doi:10.2134/cftm2019.05.0033
Machado,A.M., M.G.Miguel, M.Vilas-Boas, and A.C.Figueiredo. 2020.
Honey volatiles as a ngerprint for botanical origin: a review on their
occurrence on monooral honeys. Molecules 25: 374. doi:10.3390/
molecules25020374.
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
289Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
MacLaren,C., J.Storkey, A.Menegat, H.Metcalfe, and K.Dehnen-Schmutz.
2020. An ecological future for weed science to sustain crop production
and the environment. A review. Agron. Sustain. Dev. 40: 24. doi:10.1007/
s13593-020-00631-6
Mäder,E., M.Shepherd, M.Vaughan, S. Hoffman Black, and G. LeBuhn.
2011. Attracting native pollinators: protecting North America’s bees and
butteries: The Xerces Society Guide. Storey Pub, North Adams, MA. 380
pp.
Marshall, E. J. P., V. K. Brown, N. D. Boatman, P. J. W. Lutman,
G. R. Squire, and L. K. Ward. 2003. The role of weeds in sup-
porting biological diversity within crop elds. Weed Res. 43: 77–89.
doi:10.1046/j.1365-3180.2003.00326.x
Mauchline,A.L., S.J.Watson, V.K.Brown, and R.J.Froud-Williams. 2005.
Post-dispersal seed predation of non-target weeds in arable crops. Weed
Res. 45: 157–164. doi:10.1111/j.1365-3180.2004.00443.x
Maxwell,B. 2018. Weed-plant interactions, Ch. 2. In R.Zimdahl (ed.), Integrated
weed management for sustainable agriculture. Burleigh Dodds Science
Publishing, London, United Kingdom. doi:10.4324/9781351114417
Menalled, F. D., and M. Liebman. 2008. Seed predation by insects, pp.
215–262. In J. L.Capinera (ed.), Encyclopedia of entomology. Springer,
Dordrecht, the Netherland. doi:10.1007/978-1-4020-6359-6_4110
Menalled,F.D., R. G. Smith, J.T. Dauer, and B.F.Tyler. 2007. Impact
of agricultural management on carabid communities and weed
seed predation. Agric. Ecosyst. Environ. 118: 49–54. doi:10.1016/j.
agee.2006.04.011
Meyer,S., K. Wesche, B.Krause, and C.Leuschner. 2013. Dramatic losses of
specialist arable plants in central Germany since the 1950/60s - Across-
regional analysis. Diver. Distri. 19: 1175–1187. doi:10.1111/ddi.12102
Milanović,M., S.Knapp, P.Pyšek, and I.Kühn. 2020. Linking traits of invasive
plants with ecosystem services and disservices. Ecosyst. Serv. 42:101072.
doi:10.1016/j.ecoser.2020.101072
Millenium Ecosystem Assessment. 2005. https://www.millenniumassessment.
org/en/index.html
Morales, C. L., and L. Galetto. 2003. Inuence of compatibility system
and life form on plant reproductive success. Plant Biol. 5: 567–573.
doi:10.1055/s-2003–44794
Morandin,L.A., and M.L.Winston. 2006. Pollinators provide economic in-
centive to preserve natural land in agroecosystems. Agric Ecosyst. Environ
116: 289–292. doi:10.1016/j.agee.2006.02.012
Murphy, S., D. Clements, S. Belaoussoff, P. Kevan, and C. Swanton. 2006.
Promotion of weed species diversity and reduction of weed seedbanks with
conservation tillage and crop rotation. Weed Sci. 54: 69–77. doi:10.1614/
WS-04-125R1.1
Naranjo,S.E., P.C. Ellsworth, and G.B.Frisvold. 2015. Economic value of
biological control in integrated pest management of managed plant sys-
tems. Annu. Rev. Entomol. 60: 621–645.
Neher,D. A., and M. E. Barbercheck. 2019. Soil microarthropods and soil
health: intersection of decomposition and pest suppression. Insects 10:
414. doi:10.3390/insects10120414
Ng, K., S. McIntyre, S. Macfadyen, P. S. Barton, D. A. Driscoll1, and
D.B.Lindenmayer. 2018. Dynamic effects of ground-layer plant commu-
nities on beetles in a fragmented farming landscape. Biodivers. Conserv.
27: 2131–2153. doi:10.1007/s10531-018-1526-x
Nicholls,C.I., and M.A.Altieri. 2012. Plant biodiversity enhances bees and
other insect pollinators in agroecosystems. A review. Agron. Sustain. Dev.
33: 257–274. doi:10.1007/s13593-012-0092-y
Ninkovic, V., R. Glinwood, and I. Dahlin. 2009. Weed–barley inter-
actions affect plant acceptance by aphids in laboratory and eld ex-
periments. Entomol. Exp. Appl. 133: 38–45. doi:10.1111/j.1570-7458.
2009.00900.x
Norris,R., and M.Kogan. 2000. Interactions between weeds, arthropod pests,
and their natural enemies in managed ecosystems. Weed Sci. 48: 94–158.
doi:10.1614/0043-1745(2000)048[0094:IBWAPA]2.0.CO;2
Norris,R.F., and M.Kogan. 2005. Ecology of interactions between weeds
and arthropods. Ann. Rev. Entomol. 50: 479–503. doi:10.1146/annurev.
ento.49.061802.123218
Oerke,E. 2006. Crop losses to pests. J. Agric. Sci. 144: 31–43. doi:10.1017/
S0021859605005708
Ollerton, J., R. Winfree, and S. Tarrant. 2011. How many owering
plants are pollinated by animals? Oikos 120: 321–326.
doi:10.1111/j.1600-0706.2010.18644.x
Pearson,D.E., N.S.Icasatti, J.L.Hierro, and B.J.Bird. 2014. Are local lters
blind to provenance? Ant seed predation suppresses exotic plants more
than natives. PLoS One 9: e103824.
Penn,H.J., and T.O.Crist. 2018. From dispersal to predation: a global syn-
thesis of ant-seed interactions. Ecol. Evol. 8: 9122–9138.
Perilla-Henao,L. M., and C. L. Casteel. 2016. Vector-borne bacterial plant
pathogens: interactions with hemipteran insects and plants. Front. Plant
Sci. 7: 1163.
Perner,J., C.Wytrykush, A.Kahmen, N.Buchmann, I.Egerer, S.Creutzburg,
N. Odat, V. Audorff, and W. W. Weisse. 2005. Effects of plant diver-
sity, plant productivity and habitat parameters on arthropod abun-
dance in montane European grasslands. Ecography 28: 429–442.
doi:10.1111/j.0906-7590.2005.04119.x
Petit, S., A. Boursault, M. Le Guilloux, N.Munier-Jolain, and X. Reboud.
2011. Weeds in agricultural landscapes. Rev. Agron. Sustain. Dev. 31:
309–317. doi:10.1051/agro/2010020
Petit, S., N. Munier-Jolain, V. Bretagnolle, C. Bockstaller, S. Gaba,
S.Cordeau, M.Lechenet, D.Mézière, and N.Colbach. 2015. Ecological
intensication through pesticide reduction: weed control, weed bio-
diversity and sustainability in arable farming. Environ. Manage. 56:
1078–1090.
Pettis, J. S., E. M. Lichtenberg, M. Andree, J. Stitzinger, R. Rose, and
D.Vanengelsdorp. 2013. Crop pollination exposes honey bees to pesti-
cides which alters their susceptibility to the gut pathogen Nosema ceranae.
PLoS One 8: e70182.
Pisani Gareau, T., C. Voortman, and M. Barbercheck. 2020. Carabid
beetles (Coleoptera: Carabidae) differentially respond to soil man-
agement practices in feed and forage systems in transition to organic
management. Renew. Agric. Food Syst. 35: 608–625. doi:10.1017/
S1742170519000255
Potts, S. G., J. C. Biesmeijer, C. Kremen, P. Neumann, O. Schweiger, and
W. E. Kunin. 2010a. Global pollinator declines: trends, impacts and
drivers. Trends Ecol. Evol. 25: 345–353.
Potts, S. G., J. A. Ewald, and N.J. Aebischer. 2010b. Long-term changes
in the ora of the cereal ecosystem on the Sussex Downs, England,
focusing on the years 1968–2005. J. Appl. Ecol. 47: 215–226.
doi:10.1111/j.1365-2664.2009.01742.x
Potts,S. G., S.P.M. Roberts, R.Dean, G. Marris, M.A. Brown, R.Jones,
P. Neumann, and J. Settele. 2010c. Declines of managed honey bees
and beekeepers in Europe. J. Apicult. Res. 49: 15–22. doi:10. 3896/
ibra.1.49.1.02
Power,A.G. 2010. Ecosystem services and agriculture: tradeoffs and synergies.
Philos. Trans. R.Soc. Lond. B.Biol. Sci. 365: 2959–2971.
Requier,F., J.F.OisOdoux, T.Tamic, N.Moreau, M.L.Henry, A.Decourtye,
and V. Bretagnolle. 2015. Honeybee diet in intensive farmland habitats
reveals an unexpectedly high ower richness and a major role of weeds.
Ecolog. Appl. 25: 881–890. doi:10.1890/0012-9623-96.3.487
Risch,S. J. 1981. Insect herbivore abundance in tropical monocultures and
polycultures: an experimental test of two hypotheses. Ecology 62: 1325–
1340. doi:10.2307/1937296
Rodriguez,D., P.deVoil, D.Hudson, J.N.Brown, P.Hayman, H.Marrou, and
H.Meinke. 2018. Predicting optimum crop designs using crop models and
seasonal climate forecasts. Sci. Rep. 8: 2231.
Rollin,O., G.Benelli, S.Benvenuti, A. Decourtye, S.D. Wratten, A.Canale,
and N.Desneux. 2016. Weed-insect pollinator networks as bio-indicators
of ecological sustainability in agriculture. A review. Agron. Sustain. Dev.
36: 8.doi:10.1007/s13593-015-0342-x
Root,R.B. 1973. Organization of a plant-arthropod association in simple and
diverse habitats: the fauna of collards (Brassica oleracea). Ecol. Monogr.
43: 95–124. doi:10.2307/1942161
Rouabah, A., J. Villerd, B. Amiaud, S. Plantureux, and F. Lasserre-
Joulin. 2015. Response of carabid beetles diversity and size distri-
bution to the vegetation structure within differently managed eld
margins. Agric. Ecosyst. Environ. 200: 21–32. doi:10.1016/j.agee.
2014.10.011
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
290 Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
Sánchez-Bayo, F., and K. A. G. Wyckhuys. 2019. Worldwide decline of
the entomofauna: a review of its drivers. Biol. Conserv. 232: 8–27.
doi:10.1016/j.biocon.2019.01.020
Sands,D.P.A. 2018. Important issues facing insect conservation in Australia: now
and into the future. Austral Entomol. 57: 150–172. doi:10.1111/aen.12342
Sarabi,V. 2019. Factors that inuence the level of weed seed predation: a re-
view. Weed Biol. Manag. 19: 61–74. doi:10.1111/wbm.12186
Sasakawa,K. 2010. Field observations of climbing behavior and seed preda-
tion by adult ground beetles (Coleoptera: Carabidae) in a lowland area of
the temperate zone. Environ. Entomol. 39: 1554–1560.
Saska,P., M.Vodde, T.Heijerman, P.Westerman, and W.vanderWerf. 2007.
The signicance of a grassy eld boundary for the spatial distribution of
carabids within two cereal elds. Agric. Ecosyst. Environ. 122:427–434.
doi:10.1016/j.agee.2007.02.013
Savary, S., L. Willocquet, S. J. Pethybridge, P. Esker, N. McRoberts, and
A.Nelson. 2019. The global burden of pathogens and pests on major food
crops. Nat. Ecol. Evol. 3: 430–439.
Schipanski,M.E., M.Barbercheck, M.R.Douglas, D.M.Finney, K.Haider,
J. P. Kaye, A. R. Kemanian, D. A. Mortensen, M. R. Ryan, J. Tooker,
etal. 2014. A framework for evaluating ecosystem services provided by
cover crops in agroecosystems. Agric. Systems 125: 12–22. doi:10.1016/j.
agsy.2013.11.004.
Schipanski,M.E., M.E.Barbercheck, E.G.Murrell, J.Harper, D.M.Finney,
J. P. Kaye, D.A. Mortensen, and R.G. Smith. 2017. Balancing multiple
objectives in organic feed and forage cropping systems. Agric. Ecosyst.
Environ. 239: 219–227. doi:10.1016/j.agee.2017.01.019.
Schroeder,J., S. Thomas, and L. Murray. 2005. Impacts of crop pests on
weeds and weed–crop interactions. Weed Sci. 53: 918–922. doi:10.1614/
WS-04-052R1.1
Schupp,E.W., R.Zwolak, L.R.Jones, R.S.Snell, N.G.Beckman, C.Aslan,
B.R.Cavazos, E.Efom, E.C.Fricke, F.Montaño-Centellas, etal. 2019.
Intrinsic and extrinsic drivers of intraspecic variation in seed dispersal
are diverse and pervasive. Aob Plants. 11: plz067.
Schwarzländer, M., H. L. Hinz, R. L. Winston, and M. D. Day. 2018a.
Biological control of weeds: an analysis of introductions, rates of estab-
lishment and estimates of success worldwide. BioControl 63: 319–331.
doi:10.1007/s10526-018-9890-8
Schwarzländer,M., V.C. Moran, and S.Raghu. 2018b. Constraints in weed
biological control: contrasting responses by implementing nations.
BioControl 63: 313–317. doi:10.1007/s10526-018-9888-2
Shackleton,C.M., S.Ruwanza, G.K. SinassonSanni, S.Bennett, P.DeLacy,
R. Modipa, N. Mtati, M. Sachikonye, and G. Thondhlana. 2016.
Unpacking Pandora’s box: understanding and categorizing ecosystem dis-
services for environmental management and human wellbeing. Ecosystems
19: 587–600. doi:10.1007/s10021-015-9952-z
Shields, M. W., A. C. Johnson, S.Pandey, R. Cullen, M. González- Chang,
S.D.Wratten, and G.M.Gurr. 2019. History, current situation and chal-
lenges for conservation biological control. Biol. Control 131: 25–35.
doi:10.1016/j.biocontrol.2018.12.010
Smith,R.G., L.W.Atwood, M.B.Morris, D.A.Mortensen, and R.T.Koide.
2016. Evidence for indirect effects of pesticide seed treatments on weed
seed banks in maize and soybean. Agric. Ecosyst. Environ. 216: 269–273.
doi:10.1016/j.agee.2015.10.008
Smith,B.M., N.J.Aebischer, J.Ewald, S.Moreby, C.Potter, and J.M.Holland.
2020. The potential of arable weeds to reverse invertebrate declines and
associated ecosystem services in cereal crops. Front. Sustain. Food Syst. 3:
118. doi:10.3389/fsufs.2019.00118
Soltani,N., A.Dille, I.C.Burke, W.J.Everman, M.J.VanGessel, V.M.Davis,
and P.H.Sikkema. 2016. Potential corn yield loss from weeds in North
America. Weed Technol. 30: 979–984. doi:10.1614/WT-D-16-00046.1
Soltani,N., A.Dille, I.C.Burke, W.J.Everman, M.J.VanGessel, V.M.Davis,
and P.H. Sikkema. 2017. Perspectives on potential soybean yield losses
from weeds in North America. Weed Technol. 31: 148–154. doi:10.1017/
wet.2016.2
Srinivasan,R., D.Riley, S.Dife, A.Shrestha, and A.Culbreath. 2014. Winter
weeds as inoculum sources of tomato spotted wilt virus and as reservoirs
for its vector, Frankliniella fusca (Thysanoptera: Thripidae) in farmscapes
of Georgia. Environ. Entomol. 43: 410–420.
Storkey,J., and P.Neve. 2018. What good is weed diversity? Weed Res. 58:
239–243.
Storkey,J., S.Meyer, K. S.Still, and C.Leuschner. 2012. The impact of agri-
cultural intensication and land-use change on the European arable ora.
Proc. Biol. Sci. 279: 1421–1429.
Storkey,J., D.Brooks, A.Haughton, C.Hawes, B.M.Smith, and J.M.Holland.
2013. Using functional traits to quantify the value of plant communities to
invertebrate ecosystem service providers in arable landscapes. J. Ecol. 101:
38–46. doi:10.1111/1365–2745.12020
Storkey, J., J. M. Holland, I. G. Henderson, P. J. Lutman, J. Orson,
J.Baverstock, and J.Pell. 2014. Balancing food production and biodiver-
sity in arable landscapes: lessons from the Farm4bio experiment. Outlooks
on Pest Manage. 25: 252–256. doi:10.1564/v25_aug_02
Sunderland,K., and F.Samu. 2003. Effects of agricultural diversication on
the abundance, distribution, and pest control potential of spiders: a review.
Entomol. Exp. Appl. 95: 1–13. doi:10.1046/j.1570-7458.2000.00635.x
Sutherland,S. 2004. What makes a weed a weed: life history traits of native
and exotic plants in the USA. Oecologia. 141: 24–39.
Sutter, L., P. Jeanneret, A. M. Bartual, G. Bocci, and M. Albrecht. 2017.
Enhancing plant diversity in agricultural landscapes promotes both
rare bees and dominant crop-pollinating bees through complemen-
tary increase in key oral resources. J. Appl. Ecol. 54: 1856–1864.
doi:10.1111/1365–2664.12907
Tate,C., R. L.Hellmich, and L. C.Lewis. 2006. Evaluation of Ostrinia nubilalis
(Lepidoptera:Crambidae) neonate preferences for corn and weeds in corn.
J. Econ. Entomol. 99: 1987–1993. doi:10.1603/0022-0493-99.6.1987
Tews,J., U.Brose, V.Grimm, M.C.TielbörgerWichmann, M.Schwager, and
F.Jeltsch. 2004. Animal species diversity driven by habitat heterogeneity/
diversity: the importance of keystone structures. J. Biogeogr. 31: 79–92.
doi:10.1046/j.0305-0270.2003.00994.x
Thelen,G.C., J.M.Vivanco, B.Newingham, W.Good, H.P.Bais, P.Landres,
A.Caesar, and R.M.Callaway. 2005. Insect herbivory stimulates allelo-
pathic exudation by an invasive plant and the suppression of natives. Ecol.
Lett. 8: 209–217. doi:10.1111/j.1461-0248.2004.00713.x
Thomas, S. R., D. Goulson, and J.M. Holland. 2001. Resource provision
for farmland gamebirds: the value of beetle banks. Ann. Appl. Biol. 139:
111–118. doi:10.1111/j.1744–7348.2001.tb00135.x
Tooker,J.F., M.E.O’Neal, and C.Rodriguez-Saona. 2020. Balancing disturb-
ance and conservation in agroecosystems to improve biological control.
Annu. Rev. Entomol. 65: 81–100.
Trichard,A., B.Ricci, C.Ducourtieux, and S.Petit. 2014. The spatio-temporal
distribution of weed seed predation differs between conservation agri-
culture and conventional tillage. Agric. Ecosyst. Environ. 188: 40–47.
doi:10.1016/j.agee.2014.01.031.
Tscharntke,T., R.Bommarco, Y. Clough, T.O.Crist, D.Kleijn, T.A.Rand,
J.M.Tylianakis, S.van Nouhuys, and S.Vidal. 2008. Conservation bio-
logical control and enemy diversity on a landscape scale. Biol. Contr. 45:
238–253. doi:10.1016/S1049-9644(08)00082-0
Tscharntke, T., J. M. Tylianakis, T.A. Rand, R. K. Didham, L. Fahrig,
P. Batáry, J. Bengtsson, Y. Clough, T. O. Crist, C. F. Dormann,
et al. 2012. Landscape moderation of biodiversity patterns
and processes - eight hypotheses. Biological Rev. 87: 661–685.
doi:10.1111/j.1469-185X.2011.00216.x
Tscharntke, T., D. S. Karp, R. Chaplin-Kramer, P. Batáry, F. DeClerk,
C. Gratton, L. Hunt, A. Ives, M. Jonsson, A. Larsen, et al. 2016.
When natural habitat fails to enhance biological pest control – Five
hypotheses. Biol. Conserv. 204 (Part B): 449–458. doi:10.1016/j.
biocon.2016.10.001
Tschumi,M., M.Albrecht, C.Bärtschi, J.Collatz, M.H.Entling, and K.Jacot. 2016.
Perennial, species-rich wildower strips enhance pest control and crop yield.
Agric. Ecosyst. Environ. 220: 97–103. doi:10.1016/j.agee.2016.01.001
Tschumi, M., J. Ekroos, C. Hjort, H. G. Smith, and K. Birkhofer. 2018.
Predation-mediated ecosystem services and disservices in agricultural
landscapes. Ecol. Appl. 28: 2109–2118. doi:10.1002/eap.1799
Tylianakis, J. M., T. A. Rand, A. Kahmen, A.-M. Klein, N. Buchmann,
J.Perner, and T.Tscharntke. 2008. Resource heterogeneity moderates the
biodiversity-function relationship in real world ecosystems. PLoS Biol. 6:
e122. doi:10.1371/journal.pbio.0060122
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
291Annals of the Entomological Society of America, 2021, Vol. 114, No. 2
VanderWall,S.B., K.M.Kuhn, and M.J.Beck. 2005. Seed removal, seed preda-
tion, and secondary dispersal. Ecology 86: 801–806. doi:10.1890/04-0847
VanDriesche, R. G., R.I. Carruthers, T.Center, M.S. Hoddle, J.Hough-
Goldstein, L.Morin, L.Smith, D.L. Wagner, B. Blossey, V.Brancatini,
etal. 2010. Classical biological control for the protection of natural eco-
systems. Biol. Contr. 54: S2–S33. doi:10.1016/j.biocontrol.2010.03.003.
VanEngelsdorp, D., J.Hayes, Jr, R.M. Underwood, and J. Pettis. 2008. A
survey of honey bee colony losses in the U.S., fall 2007 to spring 2008.
PLoS One 3: e4071.
Vaz,A.S., C.Kueffer, C.A. Kull, D.M. Richardson, J.R.Vicente, I. Kühn,
M.Schröter, J.Hauck, A.Bonn, and J.P.Honrado. 2017. Integrating eco-
system services and disservices: insights from plant invasions. Ecosyst.
Serv. 23: 94–107. doi:10.1016/j.ecoser.2016.11.017
Ward,M.J., M.R.Ryan, W.S.Curran, M.E.Barbercheck, and D.A.Mortensen.
2011. Cover crops and disturbance inuence activity-density of weed
seed predators Amara aenea and Harpalus pensylvanicus (Coleoptera:
Carabidae). Weed Sci. 59: 76–81. doi:10.1614/WS-D-10-00065.1
Ward,M., M.Ryan, W.Curran, and J.Law. 2014. Giant foxtail seed preda-
tion by Harpalus pensylvanicus (Coleoptera: Carabidae). Weed Sci. 62:
555–562. doi:10.1614/WS-D-14-00010.1
Weaver,S.E., and E.L. McWilliams. 1980. The biology of Canadian weeds.
44. Amaranthus retroexus L., A. powellii S. Wats., and A. hybridus
L.Can. J. Plant Sci. 60: 1215–1234. doi:10.4141/cjps80-175
Westerman,P.R., A. Hofman, L. E. M. Vet, and W. Van Der Werf. 2003.
Relative importance of vertebrates and invertebrates in epigeaic weed seed
predation in organic cereal elds. Agric. Ecosyst. Environ. 95: 417–425.
doi:10.1016/S0167-8809(02)00224-4
Westerman,P.R., J.K.Borza, J.Andjelkovic, M.Liebman, and B.Danielson.
2008. Density-dependent predation of weed seeds in maize elds. J. Appl.
Ecol. 45: 1612–1620. doi:10.1111/j.1365-2664.2008.01481.x
White,S. S., K.A. Renner, F.D.Menalled, and D.A. Landis. 2007. Feeding
preferences of weed seed predators and effect on weed emergence. Weed
Sci. 55: 606–612. doi:10.1614/WS-06-162.1
Wilson,A. P., J. A. Hough-Goldstein, M. J. Vangessel, and J.D. Pesek. 2004.
Effects of varying weed communities in corn on European corn borer, Ostrinia
nubilalis (Hübner) (Lepidoptera: Crambidae), oviposition, and egg mass pre-
dation. Environ. Entomol. 33: 320–327. doi:10.1603/0046-225X-33.2.320
Winfree,R., N. M.Williams, H. Gaines, J. S.Ascher, and C.Kremen. 2008.
Wild bee pollinators provide the majority of crop visitation across land
use gradients in New Jersey and Pennsylvania, USA. J. Appl. Ecol. 45:
793–802. doi:10.1111/j.1365-2664.2007.01418.x
Winqvist,C., J.Bengtsson, T. Aavik, F.Berendse, L.W. Clement, S.Eggers,
C.Fischer, A.Flohre, F.Geiger, J. Liira, etal. 2011. Mixed effects of or-
ganic farming and landscape complexity on farmland biodiversity and
biological control potential across Europe. J. Appl. Ecol. 48: 570–579.
doi:10.1111/j.1365-2664.2010.01950.x
Wisler,G. C., and R.F.Norris. 2005. Interactions between weeds and culti-
vated plants as related to management of plant pathogens. Weed Sci. 53:
914–917. doi:10.1614/WS-04-051R.1
Woodcock,B. A., S. G. Potts, D.B. Westbury, A. J.Ramsay, M.Lambert,
S. J. Harris, and V. K. Brown. 2007. The importance of sward
architectural complexity in structuring predatory and phytopha-
gous invertebrate assemblages. Ecol. Entomol. 32: 302–311.
doi:10.1111/j.1365-2311.2007.00869.x
Woodcock,B.A., J.M.Bullock, M. McCracken, R.E.Chapman, S.L. Ball,
M.E.Edwards, M.Nowakowski, and R.F.Pywell. 2016. Spill-over of pest
control and pollination services into arable crops. Agric. Ecosyst. Environ.
231: 15–23. doi:10.1016/j.agee.2016.06.023
Wortman,S. E. 2016. Weedy fallow as an alternative strategy for reducing
nitrogen loss from annual cropping systems. Agron. Sustain. Dev. 36: 61.
doi:10.1007/s13593-016-0397-3
Yang,L.H., and C.Gratton. 2014. Insects as drivers of ecosystem processes.
Curr. Opin. Insect Sci. 2: 26–32.
Youngerman,C.Z., A.DiTommaso, J.E.Losey, and M.R.Ryan. 2020. Cover
crop seed preference of four common weed seed predators. Renew. Agric.
Food Syst. 35: 522–532. doi:10.1017/S1742170519000164
Zaller,J. G., and C. A. Brühl. 2019. Editorial: non-target effects of pesti-
cides on organisms inhabiting agroecosystems. Front. Environ. Sci. 7: 75.
doi:10.3389/fenvs.2019.00075
Zhang,W., T.H.Ricketts, C.Kremen, K.Carney, and S.M.Swinton. 2007.
Ecosystem services and dis-services to agriculture. Ecol. Econ. 64: 253–
260. doi:10.1016/j.ecolecon.2007.02.024
Zitter,T.A., 2001. Vegetable crops: a checklist of major weeds and crops as natural
hosts for plant viruses in the Northeast. Cornell University, Ithaca, NY. http://
vegetablemdonline.ppath.cornell.edu/Tables/WeedHostTable.html.
Zou,K., E.Thébault, G.Lacroix, and S.Barot. 2016. Interactions between the
green and brown food web determine ecosystem functioning. Funct. Ecol.
30: 1454–1465. doi:10.1111/1365–2435.12626
Downloaded from https://academic.oup.com/aesa/article/114/2/276/6131487 by guest on 17 February 2023
... Since both prevalent weed species in Java are native to the region, the soil microbiome remains unchanged. Consequently, this environment continues to support local soil-dwelling arthropod species that thrive in Poaceae-based agroforests, just as they would in secondary forests (Latumahina et al., 2020;Barbercheck and Wallace, 2021;da Silva and Zank, 2022). The agronomic utilization of this principle is often used in the management of pests, as certain weed species are intentionally grown to provide the optimal habitat for "beneficial" predatory arthropods that help regulate the herbivorous arthropod population (Bàrberi et al., 2010). ...
Article
Full-text available
p> Background. The province of Central Java, Indonesia, hosts various well-developed agroforestry systems. Objective. To explore the interaction of weed diversity on the diversity of soil arthropods, specifically in four stations based on distinct ecosystems, namely teak ( Tectona grandis L.f.) based agroforestry, complex agroforestry, cajeput ( Melaleuca cajuputi (L.) Powell.) based agroforestry, and teak monoculture. Methodology. Data was collected from February to June 2022 in Geyer District, Grobogan Regency, Central Java Province, Indonesia, using the point interception method for weed vegetation and the pitfall trap method for soil arthropods. Results. The results showed that the dominant species observed in the agroforestry and monoculture ecosystems differ. Cynodon dactylon L.Pers. is the most dominant weed in all three agroforestry ecosystems, while Imperata cylindrica Beauv is the most dominant in teak monoculture. Oecophylla smaragdina F., an ant species locally known as rangrang , was the most dominant insect at all four stations. The Poaceae family was shown to be the most prevalent weed species on all stations. However, the agroforestry system displayed a greater variety of arthropods. Implications. The results of this study indicate that in agroforestry systems, the diversity, distribution, and density of soil-based arthropods are intimately related to the specific weed species that have evolved mutually beneficial interactions. Conclusion. This phenomenon demonstrates the intricate interplay between different species and the interspecies affinity within the community.</p
... En este sentido, presentan el potencial de apoyar la provisión de los servicios ecosistémicos de regulación de plagas y polinización (Bennett et al., 2009;Bretagnolle & Gaba, 2015). Sus flores suministran polen y néctar para abejas y otros insectos polinizadores, incluso fuera de los períodos de floración de cultivos (Barbercheck &Wallace, 2021). Estudios previos han abordado las interacciones entre las malas hierbas y polinizadores en diversos contextos (Requier et al., 2015;Balfour & Ratnieks, 2022). ...
Conference Paper
Full-text available
Weeds play an important role in the trophic network of agroecosystems since they interact directly or indirectly with other of their components and offer a wide spectrum of ecological functions. The objective of this work was to determine the relationship between plant species and pollinating insects in the autonomous community of Aragón, Spain. Based on a list of 354 species found by the authors in winter cereal fields and adjacent margins during vegetation sampling in recent decades, a bibliographic search was carried out using 6 databases and other sources of information for each species plant to determine the associated insects. The species found mostly corresponded to the botanical families Poaceae, Asteraceae, Fabaceae, and Brassicaceae. 80.5% of species presented entomophilous pollination, where bees were the main pollinating insects (23%), followed by lepidopterans (11%). Both types of insects were reported in a large number of plant species (21.5%). The difficulty of finding information for typical plant species in the region justifies the compilation work and motivates its continuity, which in addition to pollinators, will cover other functional groups of insects such as pests, natural enemies, and virus vectors. These preliminary results aid to know which weed species with flowers potentially attractive to insects should be conserved within and around agroecosystems, as they can favour the provision of the ecosystem service of pollination, contributing to the correct functioning of ecosystems and to food production.
... Agricultural production is more than just a source of food, feed, fiber, and fuel, with insects, weeds, and crops interacting in various ways to produce positive or negative impacts on crop production and pest management (Barbercheck & Wallace, 2021). Weeds and insects are typically seen as non-desirable components of agroecosystems, but weeds can also provide benefits to cropping systems by supporting pollinators and beneficial arthropods (Neher & Barbercheck, 2019). ...
Article
Full-text available
This review examines the hidden world of plant-insect interactions by emphasizing on the sensory perception and behavior of phytophagous insects, nutritional influence on insect reproduction, host plant resistance, Insects, weed and crop interaction, Insect pollinator plant interaction, tri-trophic interaction, and insect biotechnology. It explores how insects use sensory cues to forage for food, find mates, perceive dangers, and navigate their environment. It also examines the influence of host plants on insect behavior and the use of chemical cues for communication. The potential use of semio-chemicals in pest management for sustainable agriculture is highlighted. Nutritional factors and their impact on insect reproductive success are also discussed, emphasizing the need for balanced diets. The different categories of host plant resistance and their effects on insects are examined. The interdependent relationships between insects, plants, and weeds in agricultural ecosystems are explored, with a focus on the role of insect pollinators. The decline of insect pollinators and the importance of studying them are emphasized. The importance of tri-trophic interactions in maintaining ecological balance and biodiversity is discussed. Moreover, the role of biotechnological techniques like genomics, proteomics, transcriptomics, and epigenetics in understanding insect plant interactions as well as developing insect pest control strategies is discussed. The potential use of natural products produced by plants in environmentally friendly pest control methods is also examined. Overall, this review provides a comprehensive exploration of insect-plant interactions and the potential for sustainable pest control methods.
... Consequently, an important decline in weed communities was revealed in many European countries [7]. However, more recent studies have shown that weeds can offer numerous agroecosystem services beneficial to crops [8][9][10]. This led to the development of a conservation strategy in sustainable agriculture both to stop the decline of weed plant diversity [11] and to exploit their potential in the functioning of agroecosystems. ...
Article
Full-text available
We examined the potential effects of weed species on the arbuscular mycorrhizal fungi (AMF) in an organic winter wheat (Triticum durum) field in Lebanon. In this agroecosystem, the field and its surroundings were covered with spontaneous vegetation corresponding to local weeds. The coexistence between wheat and weeds did not modify AM fungal community diversity and colonization in T. durum but changed their composition. We evidenced 22 operational taxonomic units (OTUs) specifically shared between wheat associated with weeds (Tdw) and weeds, regardless of their localization and 12 OTUs with an abundance of variation between wheat without neighboring weeds (Td) and Tdw. The number of AM propagules and total C and N contents were higher in soil covered with wheat associated with weeds (TdWsoil) vs. wheat without neighboring weeds (Tdsoil). In greenhouse experiments, the shoot biomass and root mycorrhizal intensity of Medicago sativa, used as a trap plant, were higher using TdWsoil vs. Tdsoil as the inoculum. Positive correlations were observed between soil AM propagule numbers and M. sativa shoot biomass, on the one hand and M. sativa mycorrhizal intensity, on the other hand. Weeds seemed to exert significant effects on root AM fungal composition in T. durum and these effects may contribute to enhanced AMF development in the field.
Article
Weed-insect interaction has been studied for decades to determine the role of weeds in insect infestation. This study investigated the impact of weed density on the population density of important leafhopper species (Cicadellidae: Hemiptera) and their egg parasitoid Anagrus atomus (L.) (Hymenoptera: Chalcidoidea) in maize (Zea mays L.) planted as second crop in Şanlıurfa province, Türkiye during 2022 and 2023. Population densities of harmful leafhopper species, i.e., Zyginidia sohrab (Zachvatkin), Empoasca decipiens (Paoli), Asymmetrasca decedens (Paoli), Psammotettix striatus (Linnaeus), and their parasitoid, i.e. A. atomus were monitored by yellow sticky traps (RAL-1016) under weedy and weed-free conditions. Three traps were hung in each experimental unit and the densities of target species were recorded weekly. The population densities of leafhopper species feeding on Sorghum halepense (L.) (Johnsongrass) and the effect of A. atomus on their population density were also determined in weedy treatment. A total 15 maize leaves were taken from both weedy and weed-free treatments, and S. halepense leaf tissues containing leafhopper eggs parasitized by A. atomus were counted weekly. Weed density had non-significant effect on the population density of Z. sohrab during both years. Contrastingly, increasing weed density increased the population density of E. decipiens & A. decedens complex in 2022. Nevertheless, weed density had non-significant effect on the population density of E. decipiens & A. decedens complex during 2023. Weedy treatment recorded higher population density of P. striatus (140 and 100 adults, respectively); however, both weedy and weed-free treatments recorded similar density (125 and 97 adults) during 2023. Weed density proved a significant factor in increasing A. atomus density. A total of 2935 parasitized eggs were recorded from the weedy treatment, whereas 1609 parasitized eggs were recorded from weed-free treatment. Although direct relationship between leafhoppers and weed density remains uncertain, integrated pest management strategies must consider phytophagous insects feeding on weeds at field edges and within fields and the natural enemy complex.
Article
Non‐crop vegetation areas in agricultural landscapes are vital for maintaining biodiversity. However, they potentially host pest insects, which can cause economic loss in crop fields. Some insect species have been found to spill into crops from these areas, but this varies depending on species, landscape composition and the time of the season. To determine if five common pest insects of canola crops were spilling into fields during the late growing season, we collected samples at various distances from non‐crop areas, in a part of the Canadian Prairies (Alberta, Canada) where this crop is widely grown. Sampling occurred at 15 sites in each of 10 fields ( N = 150 sites). We modelled changes in pest abundance over distance from the non‐crop areas and contrasted the abundance of each taxon in the crop and non‐crop areas. Only leafhoppers (Hemiptera: Cicadellidae) demonstrated a declining gradient in abundance that is consistent with spillover from non‐crop vegetation areas into the canola fields. Weevils were found to have significantly higher abundance in the non‐crop areas, indicating a relationship between this taxon and the non‐crop area in the late season, but there was no decline in abundance, which might indicate spillover occurring. All taxa demonstrated spatial differences in abundance among fields. This study found limited evidence that the pests are spilling over from non‐crop vegetation into canola crops during the late season. Therefore, movement of pests from non‐crop vegetation areas at this time is unlikely to be a driver of pest pressure for this economically important crop.
Article
Weed management is challenging for vegetable crops that are highly sensitive to weed competition, such as onions. Thrips (Thysanoptera: Thripidae) are major insect pests of onions, causing damage through feeding, and vectoring bacterial pathogens causing bulb rot. Both thrips and their associated pathogens are known to survive on many weed species in onion growing regions. Combining weeding with biopesticides may synergistically manage thrips and reduce disease prevalence. However, disturbances from weeding may negatively impact natural enemies. We estimated the effects of organic weed management and biopesticides on weed density, thrips and natural enemy activity, disease severity, and yield. The experiment was a randomized complete block design, with 4 replications of each weeding (control, tine-weeded twice, tine-weeded 4 times, and hand-weeded) and biopesticide (control, OxiDate 2.0, Serenade) combination. Arthropods were monitored using yellow sticky cards, and weed counts, marketable yield, and bulb rot prevalence were estimated. Hand-weeding resulted in the lowest weed density and thrips abundance. Additionally, hand-weeding produced a 9× higher yield compared to all other treatments. Significant interactions were observed between tine-weeding and biopesticide treatments on the prevalence of bulb rot. Natural enemy abundance was slightly negatively impacted by weeding, dependent on the year. DNA metabarcoding results showed high parasitoid diversity in this onion system and high numbers of reads for multiple genera containing important known biological control agents. Our study suggests hand-weeding is necessary in the southeast for maximum onion yield. Future research should focus on exploring the impact of management on natural enemy communities in onion systems on a large scale.
Article
The food resources in the field can effectively strengthen the ability of natural enemies to control the pest. Certain compounds, in addition to carbohydrates and amino acids, may improve the physiological performance of insects. Caffeine, for instance, has been shown to enhance pollinator memory and physiological reactions. However, little is known about how caffeine influences parasitoids. The control effectiveness and survival rate of the parasitoid ( Snellenius manilae ) were tested in this study after the parasitoids were fed solutions with different concentrations of caffeine. We examined caffeine concentrations of 10 ⁻² , 10 ⁻⁴ , and 10 ⁻⁶ (M) mixed with a 25% sucrose solution and a pure sucrose solution as a control group. The results show that a concentration of 10 ⁻⁶ caffeine solution significantly increased the parasitism rate of S. manilae by 10.76% when compared to the control group. Despite the significantly lower survival rate and male bias of S. manilae offspring in the 10 ⁻² treatment, no further negative responses in growth performance, development time, or cocoon weight were observed. These findings suggest that an appropriate concentration of caffeine solution can have a positive impact on the control effectiveness of parasitoids in the laboratory. Our results highlight the potential of secondary compounds to increase the bio‐control effectiveness. However, confirming the implications of these findings requires further field experiments.
Article
Full-text available
While many pesticides are detrimental to human health and the environment, drastically reducing their use and risks in agriculture has been set as a key target for global environmental policies. To this end, redesigning agroecosystems by increasing plant diversity at the cropping system and landscape levels is increasingly seen as imperative. Positive evidence that diversifying agroecosystems suppresses pests is accumulating and many ecological mechanisms driving pest suppression are known. Yet, variability in effects, risks of failure, and the limited adoption of diversification practices, call for improving diversification science. The overarching challenge lies in shifting from homogeneous production systems targeting yield at the cost of high input uses, to complex biodiversity-based environments resilient to pest pressure and delivering multifunctional performances. Therefore, a new conceptual umbrella to guide future agroecosystem design is proposed, which consists of integrating four principles: (i) embracing complexity, by jointly considering the multiple pests and their enemies; (ii) considering traits, in mobilizing the functional grammar; (iii) stacking diversification practices, by strategically combining the multiple facets of plant diversity at multiple scales; (iv) translating ecological processes into socio-economic benefits to adopt a multifunctional perspective. While addressing the associated implications for science and research, the present review critically discusses how to mobilize the spatio-temporal cross-scale dependencies of interactions in agroecosystems. Promoting synergies and building on the functional complementarities of ecological processes is proposed as a way to strengthen agroecosystem resilience to pest outbreaks.
Article
Full-text available
Sustainable strategies for managing weeds are critical to meeting agriculture’s potential to feed the world’s population while conserving the ecosystems and biodiversity on which we depend. The dominant paradigm of weed management in developed countries is currently founded on the two principal tools of herbicides and tillage to remove weeds. However, evidence of negative environmental impacts from both tools is growing, and herbicide resistance is increasingly prevalent. These challenges emerge from a lack of attention to how weeds interact with and are regulated by the agroecosystem as a whole. Novel technological tools proposed for weed control, such as new herbicides, gene editing, and seed destructors, do not address these systemic challenges and thus are unlikely to provide truly sustainable solutions. Combining multiple tools and techniques in an Integrated Weed Management strategy is a step forward, but many integrated strategies still remain overly reliant on too few tools. In contrast, advances in weed ecology are revealing a wealth of options to manage weeds at the agroecosystem level that, rather than aiming to eradicate weeds, act to regulate populations to limit their negative impacts while conserving diversity. Here, we review the current state of knowledge in weed ecology and identify how this can be translated into practical weed management. The major points are the following: (1) the diversity and type of crops, management actions and limiting resources can be manipulated to limit weed competitiveness while promoting weed diversity; (2) in contrast to technological tools, ecological approaches to weed management tend to be synergistic with other agroecosystem functions; and (3) there are many existing practices compatible with this approach that could be integrated into current systems, alongside new options to explore. Overall, this review demonstrates that integrating systems-level ecological thinking into agronomic decision-making offers the best route to achieving sustainable weed management.
Article
Full-text available
Besides providing food and shelter to natural enemies of crop pests, plants used in conservation biological control interventions potentially provide additional ecosystem services including providing botanical insecticides. Here we concurrently tested the strength of these two services from six non-crop plants in managing cabbage pests in Ghana over three successive field seasons. Crop margin plantings of Ageratum conyzoides, Tridax procumbens, Crotalaria juncea, Cymbopogon citratus, Lantana camara and Talinum triangulare were compared with a bare earth control in a three-way split plot design such that the crop in each plot was sprayed with either a 10% (w/v) aqueous extract from the border plant species, a negative control (water) and a positive control (emamectin benzoate ‘Attack’ insecticide). Pests were significantly less numerous in all unsprayed treatments with non-crop plant margins and in corresponding sprayed treatments (with botanical or synthetic insecticide positive control) while treatments with bare earth margin or sprayed with water (negative controls) had the highest pest densities. Numbers of predators were significantly depressed by synthetic insecticide but higher in other treatments whether unsprayed or sprayed with botanical insecticide. We conclude that some plant species have utility in both conservation biological control and as source of botanical insecticides that are relatively benign to natural enemies. In this crop system, however, the additional cost associated with using botanical insecticides was not justified by greater levels of pest suppression than achieved from border plants alone.
Article
Full-text available
The use of weeds as insectary plants is an emerging management tactic by agroecologists to sustain beneficial insect species. Fallow lands have always been used by insects, and are an important part of their diet in fragmented ecosystems. Weeds provide nectar and floral resources to beneficial insects, and provide resources to keep those insects within a field in between flowering events. Using weeds as a tool in agricultural production reliant on pollination allows farmers to increase yield, end herbicide use, and increase biodiversity of both plants and insects. Native weeds expand the range of native insects from natural areas into agroecosystems, supporting insects that buffer against lapses in pollination by agricultural honey bees. Weeds also support parasitoid and predatory insects by providing nectar and pollen to adults, as well as alternative prey. This review examines the plant-insect ecological interactions supported by weeds left within a farm, and their potential role in supporting pollinators and parasitoids.
Article
Full-text available
Recent reviews show that classical weed biocontrol measures can be successful in reducing the negative impacts of invasive plant species, have impressive returns on investment, and contribute to slower rates of weed spread. Quantitative post-release monitoring is necessary to account for differences in biocontrol outcomes across spatial and temporal scales. Direct nontarget attack (NTA) incidence and severity are decreasing over time, and pre-release host-specificity tests can accurately predict NTA post-release, as long as the nontarget plant species are included in testing. Less than 1% of NTA was found where the impacted plant species had been tested pre-release and was deemed not at risk. Effectiveness and environmental safety will likely further improve with the incorporation of new technologies, such as experimental evolutionary studies.
Article
Full-text available
Honeys have specific organoleptic characteristics, with nutritional and health benefits, being highly appreciated by consumers, not only in food but also in the pharmaceutical and cosmetic industries. Honey composition varies between regions according to the surrounding flora, enabling its characterization by source or type. Monofloral honeys may reach higher market values than multifloral ones. Honey’s aroma is very specific, resulting from the combination of volatile compounds present in low concentrations. The authentication of honey’s complex matrix, according to its botanical and/or geographical origin, represents a challenge nowadays, due to the different sorts of adulteration that may occur, leading to the search for reliable marker compounds for the different monofloral honeys. The existing information on the volatiles of monofloral honeys is scarce and disperse. In this review, twenty monofloral honeys and honeydews, from acacia, buckwheat, chestnut, clover, cotton, dandelion, eucalyptus, fir tree, heather, lavender, lime tree, orange, pine, rape, raspberry, rhododendron, rosemary, strawberry tree, sunflower and thyme, were selected for volatile comparison purposes. Taking into consideration the country of origin, the technique of isolation and analysis, the five main volatiles from each of the honeys are compared. Whereas some compounds were found in several types of monofloral honey, and thus not considered good volatile markers, some monofloral honeys revealed characteristic volatile compounds independently of their provenance.
Article
Full-text available
Disturbances associated with agricultural intensification reduce our ability to achieve sustainable crop production. These disturbances stem from crop-management tactics and can leave crop fields more vulnerable to insect outbreaks, in part because natural-enemy communities often tend to be more susceptible to disturbance than herbivorous pests. Recent research has explored practices that conserve natural-enemy communities and reduce pest outbreaks, revealing that different components of agroecosystems can influence natural-enemy populations. In this review, we consider a range of disturbances that influence pest control provided by natural enemies and how conservation practices can mitigate or counteract disturbance. We use four case studies to illustrate how conservation and disturbance mitigation increase the potential for biological control and provide co-benefits for the broader agroecosystem. To facilitate the adoption of conservation practices that improve top-down control across significant areas of the landscape, these practices will need to provide multifunctional benefits, but should be implemented with natural enemies explicitly in mind.
Article
Root (1973) observed fewer pests in weedy Brassica oleracea plantings, and suggested this could be because greater plant diversity bolstered resources for natural enemies and strengthened herbivore suppression (i.e., the Enemies Hypothesis) and/or disrupted host-location by specialist herbivores (i.e., the Resource Concentration Hypothesis). These proposed mechanisms have been exceptionally influential in efforts to manage agroecosystems to promote conservation biological control, yet their relative importance remains unclear. Because direct (plant-driven) and indirect (enemy-mediated) drivers of herbivore pressure are difficult to manipulate experimentally, we compiled a multi-year observational dataset tracking arthropod pest and predator densities in B. oleracea plantings on over 50 farms varying in weed cover within fields as well as in habitat diversity in surrounding landscapes. We then used structural equation models to evaluate direct and indirect interaction links consistent with the Enemies and Resource Concentration Hypotheses, while also considering landscape context and enemy community structure. We predicted that non-crop habitat would limit herbivores indirectly by supporting evenly distributed communities of natural enemies. Our results revealed that weedy vegetation indeed benefitted predator evenness and thus indirectly correlated with enhanced predator densities, but instead of limiting herbivores, natural enemies seemed to track both aphids and caterpillars. Landscape diversity had no effect on predator evenness, yet appeared to benefit predator density, while having contrasting direct effects on aphids (positive) and caterpillars (negative). We found no evidence for direct negative links between weed cover and herbivores that would indicate an important role for the Resource Concentration Hypothesis. Instead, we found indirect links between weedy plants and natural enemy evenness across our network of field sites, suggesting partial support for the Enemies Hypothesis. More generally, we suggest that greater consideration of predator-predator interactions and local biodiversity effects could help explain inconsistent relationships between landscape diversity and herbivore suppression.
Article
Invasive alien species (IAS) have negative as well as positive effects on human well-being. They can alter ecosystem properties, functions and associated ecosystem services (ES). However, many IAS have negative effects (resulting from reducing ES or by increasing or creating ecosystem disservices (EDS), the latter termed genuine negative effects) on, e.g. biodiversity, crop and timber production and/or human health. We present a novel framework, linking traits of IAS via ES and EDS to affected environmental and socioeconomic sectors. By applying the framework, we were able to identify whether a plant trait affects different sectors (positively and/or negatively) and whether the same trait impacts one but benefits another sector. Positive effects correspond to an increase in ES/a reduction in EDS whereas impact represents a reduction in ES/an increase in EDS. The framework is applicable across traits and species, including the direction (positive/negative) and strength of effects. Furthermore, we classified six socioeconomic and environmental sectors frequently affected (positively or negatively) by invasive plants, along with the list of ES and EDS relevant in these sectors. The framework can be used as a tool for assessing multiple ES and EDS and for prioritizing the management of affected sectors.