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Incorporating biodiversity in climate change mitigation initiatives

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Climate change mitigation initiatives based on biological sequestration of carbon have paid little attention to biodiversity, with important implications both for climate change mitigation and for ecosystem services that depend on biodiversity. Here the chapter reviews the theoretical and empirical evidence for forest biodiversity effects on carbon sequestration. This chapter suggests that protection of primary forests is the most effective option for maximizing carbon sequestration in forest ecosystems, and should be included in future international agreements. Because carbon sequestration is a long term goal, this chapter presents the case that avoidance of losses should be emphasized over short term uptake, and that maintenance of mixtures of dominant and subdominant species and genotypes are the safest option for carbon sequestration in plantations and agroforestry systems. Biodiversity conservation should be included in the development of policy for climate change mitigation initiatives based on carbon sequestration in forested systems, including those related to the Kyoto Protocol.
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Biodiversity,
Ecosystem
Functioning, and
Human Wellbeing
An Ecological and Economic
Perspective
EDITED BY
Shahid Naeem,
Daniel E. Bunker,
Andy Hector,
Michel Loreau,
and
Charles Perrings
1
Contents
List of contributors viii
Preface xi
Shahid Naeem, Daniel E. Bunker, Andy Hector, Michel Loreau,
and Charles Perrings
Acknowledgments xiv
Part 1: Introduction, background, and meta-analyses 1
1 Introduction: the ecological and social implications of changing
biodiversity. An overview of a decade of biodiversity and
ecosystem functioning research 3
Shahid Naeem, Daniel E. Bunker, Andy Hector, Michel Loreau,
and Charles Perrings
2 Consequences of species loss for ecosystem functioning:
meta-analyses of data from biodiversity experiments 14
Bernhard Schmid, Patricia Balvanera, Bradley J. Cardinale, Jasmin Godbold,
Andrea B. Pfisterer, David Raffaelli, Martin Solan, and Diane S. Srivastava
3 Biodiversity-ecosystem function research and biodiversity futures:
early bird catches the worm or a day late and a dollar short? 30
Martin Solan, Jasmin A. Godbold, Amy Symstad, Dan F. B. Flynn,
and Daniel E. Bunker
Part 2: Natural science foundations 47
4 A functional guide to functional diversity measures 49
Owen L. Petchey, Eoin J. O’Gorman, and Dan F. B. Flynn
5 Forecasting decline in ecosystem services under realistic
scenarios of extinction 60
J. Emmett Duffy, Diane S. Srivastava, Jennie McLaren, Mahesh Sankaran,
Martin Solan, John Griffin, Mark Emmerson, and Kate E. Jones
6 Biodiversity and the stability of ecosystem functioning 78
John N. Griffin, Eoin J. O’Gorman, Mark C. Emmerson, Stuart R. Jenkins,
Alexandra-Maria Klein, Michel Loreau, and Amy Symstad
v
CHAPTER 11
Incorporating biodiversity in climate
change mitigation initiatives
Sandra Díaz, David A. Wardle, and Andy Hector
11.1 Introduction
Climate change mitigation through the sequestration
of carbon (C), and the protection of biodiversity have
captured the attention of scientists, governmental
agencies, and the public in general in the past few
years. This is justiable in view of the formidable
challenges posed by them to the long-term sustain-
ability of the Earths life support systems (Millen-
nium Ecosystem Assessment 2005b, IPCC 2007).
Biodiversity and C sequestration in the bio-
sphere have seldom been considered in an inte-
grated way, either by international conventions or
by the scientic community. Biodiversity considera-
tions have been taken into account only marginally
in international initiatives and agreements aimed at
mitigating the ecological impacts of climate change.
The most inuential of these initiatives is the Kyoto
Protocol to the United Nations Framework Con-
vention on Climate Change (UNFCCC), which is
intended to slow down the human contribution to
increased atmospheric carbon dioxide concentration
(http://unfccc.int/resource/docs/convkp/kpeng.
pdf). This protocol was entered into force in February
2005 and has now been signed and ratied by 183
states. The Kyoto Protocol considers net C seques-
tration in the biosphere as one way to stabilize carbon
dioxide levels in the atmosphere, and offers countries
the opportunity to receive carbon creditsfor
enhancing sequestration. According to the denitions
of the Marrakech Accord, climate change mitigation
measures based on biological sequestration of C
include afforestation, reforestation, revegetation, and
forest, cropland and grazing land management
(http://unfccc.int/resource/docs/cop7/13a02.pdf).
However, when dening eligible C sequestration
initiatives to be taken by different countries, the Kyoto
Protocol explicitly excludes natural ecosystems
already extant in 1990 as C sinks (http://unfccc.int/
resource/docs/cop6secpart/l11r01.pdf). This is also
the case with regard to the Clean Development
Mechanisms (CMD, http://unfccc.int/resource/
docs/2002/sbsta/misc22a04.pdf; see also Article 12
of the Kyoto Protocol) by which developed countries
that emit C in excess of agreed-upon limits can obtain
C offsets by investing in initiatives to sequester C and
foster sustainable development in less developed
countries. Here, only afforestation and reforestation
qualify as eligible land use initiatives during the rst
commitment period of 20082012 (http://unfccc.int/
kyoto_protocol/items/2830.php).
There is no mention of biodiversity in the main
text of the Kyoto Protocol. The documents emerg-
ing from several meetings between 2001 and 2008
(Conferences of the Parties to the UNFCCC 7-13,
and meetings of the Subsidiary Body for Scientic
and Technological Advice, http://unfccc.int/
meetings/items/2654.php) represent an advance in
the sense that they incorporate biodiversity con-
cerns. For example, the Marrakech (CoP-7), Milan
(CoP-9) and Buenos Aires (CoP-10) accords, and the
modalities for implementation of the CDM projects
(CoP-11) explicitly state that LULUCF (land use,
land use change, and forestry) and CDM initiatives
must contribute to the conservation of biodiversity
and sustainable use of natural resources, as well as
to the promotion of C sequestration. Following the
Montreal meeting (CoP 11), a request was issued to
analyze the inclusion of avoided deforestation
(Reducing Emissions from Deforestation and Deg-
radation, or REDD) as part of the UNFCC activities
149
in developing countries, either as part of the CDM
next commitment period starting in 2012, or as a
separate instrument designed specically for this
purpose. REDD are now an integral part of the
Bali Road Map(http://unfccc.int/resource/docs/
2007/cop13/eng/06a01.pdf), which resulted from
CoP 13. As in the case of the CDMs, the fact that
the REDD initiatives should be compatible with
the preservation of biodiversity is explicitly
mentioned. These represent important steps for-
ward, but biodiversity is still considered as a
rather general side benetof carbon sequestra-
tion initiatives.
Academic publications (e.g. Kremen et al. 2000,
Noss 2001, Niesten et al. 2002, Niles et al. 2002,
Schulze et al. 2002, Sanz et al. 2004, Balvanera et al.
2005, Kremen 2005, Balvanera et al. 2006, Fearnside
2006b, Betts et al. 2008, Field et al. 2008) and
assessment reports aimed to inform international
conventions on the best ways to mitigate the effects
of global change (e.g. Gitay et al. 2002, Díaz et al.
2003, Díaz et al. 2005, Stern 2006, Fischlin et al. 2007,
Royal Society 2008) have stressed the importance of
considering biodiversity, and analyzed the eco-
nomic, social, and environmental costs and benets
of incorporating biodiversity-related criteria into C
sequestration. However, in our opinion the fact that
biodiversity not only has intrinsic value but could
also enhance or reduce the effectiveness of C
sequestration actions has not been sufciently
explored.
In this chapter we ask whether forest plant bio-
diversity, through its effects on ecosystem processes
and especially on long-term C storage, is likely to
have relevant consequences for the effectiveness of
C sequestration. We rst consider the theoretical
background by which this could happen. Then we
consider the available evidence. Finally, we make
some recommendations based on this background
and identify knowledge gaps and future research
needs.
We refer to biodiversity as the number, abun-
dance and identity of genotypes, populations, spe-
cies, functional groups and traits, and landscape
units present in a given ecosystem (Millennium
Ecosystem Assessment 2005b, Díaz et al. 2006). In
taking this broad approach, we consider species
richness as just one component of biodiversity, and
include other components, such as the identity and
abundance of species and functional and structural
traits, in our analysis, since recent syntheses (Díaz
et al. 2005, Hooper et al. 2005, Díaz et al. 2006,
Chapin et al. 2008) highlight the fact that composi-
tion is more important in determining ecosystem
functioning than richness.
11.2 How can biodiversity affect C
sequestration?
The success of C sequestration initiatives depends
on how much C can be stored in the long term,
which in turn depends on the net balance between
C gain and C loss over long periods. It also depends
on how important the C-sequestering ecosystem is
perceived to be by the local stakeholders and the
society at large, which in turn depends on the
extent to which positive ancillary effects (such as
preserved or enhanced ecosystem services other
than C sequestration) can be obtained from it. This
is because when stakeholders value the potential of
an ecosystem to provide drinking water, food,
aesthetic enjoyment, protection against natural
disasters, and other services, they are more likely to
protect its integrity, and therefore its C sequestra-
tion capacity, in the long term.
In this chapter we summarize the theoretical
bases and some emerging evidence by which bio-
diversity as dened above could inuence the
overall success of C sequestration initiatives. We
focus on path one of Fig. 11.1, and claim that bio-
diversity should be explicitly considered in the
design of C sequestration initiatives.
It is common in international negotiations to use
the term C sequestrationin a loose sense, to refer
to the enhancement of both C stocks in and inuxes
into the biosphere through avoided deforestation,
afforestation, reforestation, revegetation, and forest,
cropland, and grazing land management. In the
ecological sense, however, C sequestration refers to
the maintenance or enhancement of C stocks in the
biosphere. This is because large inuxes can
sometimes be accompanied by large efuxes,
resulting in no net C accumulation. Net C seques-
tration occurs when the size and/or residence time
of C stocks increases, due to a long-term positive
balance between an ecosystems C gains through
150 BIODIVERSITY, ECOSYSTEM FUNCTIONING, AND HUMAN WELLBEING
net primary productivity and C losses through
heterotrophic respiration and non-respiratory
processes such as re, harvest, and leakages of
particulate, dissolved, or volatile C compounds
(Catovsky et al. 2002, Schulze et al. 2002, Chapin
et al. 2005, Schulze 2005). If biodiversity has the
potential to affect C gain through productivity, or C
loss through respiration and non-respiratory pro-
cesses, then it follows that it should inuence both
the gross and the net C sequestration capacity of
ecosystems. In this contribution, we use the term C
sequestration (i.e. C storage) in the ecological sense,
as a positive long-term change in, or maintenance
of, C stocks. We refer to C inuxes into the biotic
system as C uptake or C capture.
Different theoretical backgrounds and some
emerging evidence suggest that different compo-
nents of biodiversity (species and genotype com-
position, number and spatial arrangement) differ
in their potential to modify the magnitude, rate,
and long-term permanence of the biospheresC
stocks and uxes. Therefore, biodiversity consid-
eration could be an integral part of the design
and implementation of policy and management
actions aimed at enhancing the long-term C
sequestration capacity as well as the overall eco-
system-service value of primary, managed, and
planted forests.
11.2.1 C sequestration predictions based
on different theoretical approaches
How could biodiversity affect C sequestration in
primary, managed, or planted forests? At present,
there are three main theories leading to different
predictions. These theories are the neutral hypoth-
esis,themass ratio hypothesis,andtheniche com-
plementarity hypothesis.Wedistinguishtheneutral
hypothesis from the other two because species
differences play no role in it. Life history tradeoffs
between species underlie both the mass ratio and
niche complementarity hypotheses, but the rst
proposes that species inuence ecosystem func-
tioning according to their traits and in direct
How much?
Size of C stock
How fast?
Sink capacity
How reliably?
Pool persistence
over time
Climate change mitigation options
+
C Sequestration
in biosphere
Ancillary benefits
Ecosystem
services other
than C
sequestration
Highly unsuccessful
Small, short-lived,
highly vulnerable
C pools
Low ancillary
benefits
Net balance between
C gain and loss
Ecosystem surface
area
Sink strength of
plant-soil system
Likelihood of C release
back to atmosphere
due to natural and
antropogenic causes
Highly successful
Large, long-lived,
highly reliable
C pools
High ancillary
benefits
111
2
Figure 11.1 The success of climate change mitigation
initiatives based on the biological sequestration of C depends
on two main components: path (1), the amount and
persistence of C sequestered in the plantsoil system; and
path (2), the ancillary benets provided by the C stock to
humans. The positive effect of ancillary benets is twofold.
On the one hand, humans get extra benets as well as
climate change mitigation, such as regulation of water
quality and quantity, soil fertility protection, traditional
products, or cultural continuity (win-winoptions). On the
other hand, the higher these benets, the more likely the
local communities are to preserve the C stock, thus
increasing its long-term reliability.
INCORPORATING BIODIVERSITY IN CLIMATE CHANGE MITIGATION INITIATIVES 151
proportion to their relative abundance whereas
the other also takes species interactions into
account.
11.2.2 The neutral hypothesis
The Unied Neutral Theory of Biodiversity and
Biogeography (Hubbell 2001) predicts that diver-
sity can be maintained with random, neutral drift
inspeciesabundancessolongastheevolutionof
new species can balance stochastic extinctions.
Within the context of the links between biodiver-
sity and C sequestration, the neutral hypothesis
acts as a useful nothing happensmodel. The
neutral hypothesis assumes that individuals of all
species have equal per capita probabilities of
recruitment and mortality. On the surface the
theory may seem to predict that all species are
equal, but that is only the case for the recruitment
and mortality rates, and functional traits are not
explicitly considered. An attempt to reconcile
neutral theory with niche theory proposes that
species achieve equal per capita rates of recruitment
and mortality by different resource allocation tra-
deoffs (Hubbell 2001: Chapter 10). However, the
relative abundance of species is random with
respect to their traits. If C storage is determined by
the traits of species then under a neutral model,
the sequestration capacity of forests will vary
randomly over time along with neutral drift in the
relative abundances of species.
11.2.3 The mass ratio hypothesis
According to the mass ratio hypothesis (Grime
1998), resource dynamics at any given time in an
ecosystem strongly depend on the structural and
functional characteristics of the dominant (i.e. most
abundant) primary producers, and ecosystem
functioning should be strongly affected by their life
history tradeoffs. Therefore the total C stock of an
ecosystem, its sink strength (the rate of change of
the stock), and its residence time (the time that C
will remain sequestered in the system) should
strongly depend on the functional attributes of the
dominant plants, as well as on climate and soil
nutrients (Fig. 11.2). The traits of the dominants
should strongly inuence C uptake via net primary
productivity and C loss via decomposition and
disturbance. Fast acquisition of C per unit of leaf
biomass or leaf area and long-term conservation of
standing biomass are not expected to be maximized
at the same time. This is because, across major taxa
and biomes, there should be a tradeoff between a
suite of attributes that promote fast C and mineral
nutrient acquisition and fast decomposition, and
another suite of attributes that promotes conserva-
tion of resources within well-protected tissues and
slow decomposition (Grime 1979, Hobbie 1992,
Cornelissen et al. 1999, Aerts and Chapin 2000, Díaz
et al. 2004, Wright et al. 2004). The former, acquisi-
tive, suite includes attributes such as leaves that are
nutrient-rich, palatable, and short-lived, and often
wood of low density. This suite is more common in
light-demanding early-successional plants that act
as pioneers after disturbance (Coley 1983, Pacala et
al. 1996, Cornelissen et al. 1999, Ellis et al. 2000, Ter
Steege and Hammond 2001, Laurance et al. 2006),
and leads to shorter C and nutrient residence time
in the ecosystem because of their short leaf lifespan
and fast litter decomposition rates (DeAngelis 1992,
Hobbie 1992, Aerts 1995, Wardle et al. 2004a). The
latter, conservative, suite of traits includes leaves
that are nutrient-poor, unpalatable, and long-lived,
and often dense wood. This suite is more common
in late-successional plants, which in forests include
mostly disturbance-intolerant species (especially
during ecosystem retrogression or decline, Walker
et al. 2001, Wardle et al. 2004b); these species can
increase C storage and mineral nutrient residence
time as a result of their long leaf lifespan and slow
litter decomposition rates. As a consequence of the
existence of these suites of strongly associated
attributes, there is a tradeoff at the ecosystem level
between short-term C assimilation rate and long-
term C storage. Within forest ecosystems, many
forest types are successional mosaics where early-
and late-successional patches coexist as a result of
natural die-off events or, more commonly, small
(e.g. tree fall) and large (e.g. forest res) disturbance
events (Denslow 1987, Crews et al. 1995, Pacala et al.
1996, Richardson et al. 2004). Early-successional and
late-successional patches are dominated by acquis-
itive and conservative species, respectively, leading
152 BIODIVERSITY, ECOSYSTEM FUNCTIONING, AND HUMAN WELLBEING
to a differentiation in ecosystem processes between
patches of different successional age. We should
note here that while the mass ratio hypothesis
describes the dominance of these strategies within
patches, the landscape scale diversity between
patches represents a form of niche complementarity
(see below).
The structural and physiological traits of the
dominant plants can also inuence the probability
of disturbances such as re, wind-throw, and epi-
sodic herbivory, that are major avenues of C loss
from ecosystems (Laurance 2000, Knohl et al. 2002,
Lavorel and Garnier 2002, Chapin 2003, Pausas
et al. 2004, Gough et al. 2008), and have important
consequences for the long-term success of C
sequestration initiatives. As well as this indirect
effect through C sequestration capacity, the struc-
tural and phenological attributes of vegetation
Fast-growing, short-lived plants
High allocation of C to growth
High specific leaf area
Short leaf lifespan
High N and low phenolics, lignin and
structural carbohydrates in litter
Fast C turnover, high or low C stocks
Slow-growing, long-lived plants
High C allocation to secondary compounds
Low specific leaf area
Long leaf lifespan
Low N and high phenolics, lignin
and structural carbohydrates in litter
Slow C turnover, high or low C stocks
Plants and litter
Bacterial-based energy channel
High density earthworms
Relatively low density microarthropods
High bioturbation of soil
Rapid decomposition and mineralization
High nutrient supply rates
Low soil C sequestration
Fungal-based energy channel
High density enchytraeid worms
High density macro- and microarthropods
Low soil mixing
Slow decomposition and mineralization
Low nutrient supply rates
High soil C sequestration
Soil webs and processes
+
C gain/C loss
balance
Fertile, productive
ecosystems
Cold (boreal, high-altitude) climate
Temperate climate
Tropical climate
Infertile, unproductive
ecosystems
Figure 11.2 The traits of plants, especially dominant plants, strongly inuence C and mineral nutrient cycling and thus C sequestration capacity in different
ecosystems. Plant traits serve as determinants of the quality and quantity of resources that enter the soil and the key ecological processes in the decomposer
subsystem driven by the soil biota. These linkages between belowground and aboveground systems feed back (dotted line) to the plant community positively
in fertile ecosystems (left) and negatively in infertile ecosystems (right). C sequestration is highest in infertile conditions because decomposition is more
impaired than net primary productivity by infertility and in colder conditions because decomposition is impaired more than net primary productivity by low
temperatures (Derived from Wardle et al. 2004a).
INCORPORATING BIODIVERSITY IN CLIMATE CHANGE MITIGATION INITIATIVES 153
cover over large areas can affect climate directly.
Functional traits of the dominants, such as leaf
lifespan, growth form, root depth, and stomatal
conductance affect albedo, roughness, and evapo-
transpiration. Through these biophysical feedbacks,
the functional and structural composition of land
patches can inuence climate at the local, regional,
and even trans-regional scale, depending on the
land area covered by each vegetation type (Chapin
et al. 2000a, Chapin et al. 2000b, Thompson et al.
2004, Chapin et al. 2005, Betts et al. 2008, Chapin
et al. 2008). Recently, Körner (2005) has summarized
the variety of functional traits in temperate and
boreal tree species and their possible ecosystem-
level implications, but a similar exercise has not yet
been carried out for tropical and subtropical eco-
systems.
Ecosystems consist of not just a producer but also
a decomposer subsystem, and C sequestration is
determined not just by ecosystem C gain (driven by
net primary productivity, or NPP) but also by C
loss (driven by decomposition). Thus, whether or
not C accumulates in soils is driven to a large extent
by the difference between C input to the soil
(through litterfall, dead root production, and rhi-
zosphere release) and C loss from the soil (through
decomposition and respiration). Although decom-
position at local (within-stand) scales is determined
largely by litter quality (and hence the traits that
drive litter quality), the linkages between above-
ground (producer) and belowground (decomposer)
communities are often relatively weak (Hooper
et al. 2000, Wardle et al. 2004a, Hättenschwiler
2005). Thus decomposition rates need not respond
to ecological gradients (e.g. succession, climate,
diversity) in the same direction or to the same
extent as does NPP. For example, decomposition is
promoted by temperature more than is NPP, lead-
ing to reduced soil C sequestration at higher tem-
peratures (Anderson 1991) and decomposition rates
may decline across successional gradients while
NPP is increasing, leading to rapid soil C accumu-
lation (Wardle et al. 2004b). Further, plant species
that produce high-quality litter may induce a
priming effectthat accelerates the losses of native
organic matter in the soil and thus promotes net
ecosystem C loss (Jenkinson 1971). This may also
explain why in some situations an increase in NPP
is not matched by an increase in the amount of C
stored in the soil (Fontaine et al. 2004), and may
have important, though largely unrealized, con-
sequences for soil C persistence and hence eco-
system C sequestration. Conversely, increasing
domination of the plant community by plant spe-
cies that are unproductive but contain high
amounts of recalcitrant lignin and polyphenol
compounds in their litter (such as can occur during
ecosystem retrogression) can contribute to greater
retention of C in the soil even when NPP is
declining (Wardle et al. 2003a) (Fig. 11.2).
Tree species (or forest vegetation types) can differ
markedly in the extent to which they promote
sequestration of soil C (e.g. Jobbagy and Jackson
2000, Rhoades et al. 2000, Resh et al. 2002, Matamala
et al. 2003, Russell et al. 2004), in a large part
because they differ in their effects on the balance
between C gain and C loss. For example, N-xing
trees will often accumulate more soil C than non-N-
xing trees (Resh et al. 2002). Systems dominated by
slow-growing tree species that produce well-
defended leaves (and hence poor litter quality)
frequently promote substantial soil C accumulation
relative to tree systems dominated by plants that
grow rapidly and produce litter of high quality
(Wardle et al. 2003a). The effectiveness of C
sequestration initiatives depend on the magnitude
and accumulation rate of soil C stocks, as well as
the persistence of these stocks. Soil organic carbon
(SOC) can be accumulated in short-lived pools,
such as the microbial and labile pools (mean resi-
dence time of <5 years), and long-lived pools in
which SOC is protected by association to colloidal
materials and the formation of stable micro-
aggregates or recalcitrant compounds (mean resi-
dence time of thousands of years) (Lal 2005); tree
species affect both of these pools. Dominant plant
species have a clear inuence on short-lived pools
through root output and litter, and longer-lived
pools through their litter quality (Wardle et al.
2003a), although their capacity to inuence longer-
lived pool is not always clear (Lal 2005, Jandl et al.
2007). Shallow rooting coniferous species tend to
accumulate SOC in the forest oor, but they will
sometimes accumulate less in deeper layers than
comparable deciduous trees that often have dee-
per, more ramied roots. This is presumably in
154 BIODIVERSITY, ECOSYSTEM FUNCTIONING, AND HUMAN WELLBEING
part due to the effective way in which root growth
and subsequent root death can directly result in
incorporation of organic matter inputs beneath the
soil surface (Jobbagy and Jackson 2000, Trumbore
2000, Vesterdal et al. 2002).
The mass ratio hypothesis does not deny that less
abundant species can sometimes play a major eco-
system role or face similar life history tradeoffs to
those of abundant species (Grime 1998, Eviner and
Chapin 2003, see below), but puts the emphasis on
the functional composition of local dominants (Nilsson
and Wardle 2005, Wardle and Zackrisson 2005). The
niche complementarity hypothesis, in contrast, high-
lights the functional differences between coexisting
species. These hypotheses are not mutually exclusive,
and both processes can be operating in the same
system (Loreau and Hector 2001, Fox 2005b, Potvin
and Gotelli 2008). Many of the differences in life
history traits reviewed above with regard to the mass
ratio hypothesis may also be relevant to the discus-
sion of niche complementarity that follows.
11.2.4 The niche complementarity hypothesis
This hypothesis is based on the idea that a greater
range of physiological, structural, and phenologi-
cal traits represented in the local community pro-
vides opportunities for more efcient resource use
in a spatially or temporally variable environment
(Trenbath 1974, Vitousek and Hooper 1993, Tilman
et al. 1997c). This hypothesis is also compatible
with the existence of trait tradeoffs, and indeed
such tradeoffs are the basis for niche differences
between species. But here there is less emphasis on
the tradeoffs of the dominants as major drivers of
ecosystem properties. When species show com-
plementary niche differences it is likely but not
automatic (Hector 1998, Hector et al. 2002) that a
mixture of species may show greater overall
resource uptake and rates of ecosystem processes
than the same species grown in monoculture.
Niche complementarity may relate to resource use,
but mixtures may also perform better if rates of
attack by natural enemies either pests or patho-
gens are higher in monocultures, in low-diversity
patches, or near parent trees (e.g. Janzen 1970).
Less abundant species are often minor players in
ecosystem resource dynamics (Grime 1998) but
may play an important role as a group, for
example through ecosystem engineering (Jones
et al. 1994), through keystone species effects (e.g.
plant species that form mutualisms with nitrogen-
xing bacteria, Vitousek and Walker 1989), and
through participating in complex indirect interac-
tions (Eviner and Chapin 2003). Non-abundant
species might be important in providing an
insuranceeffect(atypeoftemporalnichecom-
plementarity) that helps sustain ecosystem func-
tioning in the long term, particularly in a changing
environmental context (Walker 1995, Walker et al.
1999, Yachi and Loreau 1999). There are few
examples of insurance effects in the literature and
it is therefore still too early for a formal assessment
of their strength and occurrence.
The role of genetic differences between popula-
tions or genotypes of the same species in natural
ecosystems has been little studied. In the case of
herbaceous communities, Joshi et al.(2001)found
that the performance of different genotypes was
always best in the sites from which they were
sourced, and Booth and Grime (2003) reported that
communities composed of genetically uniform
populations appear to be more variable in canopy
structure, and to lose more species over time, than
communities composed of genetically heteroge-
neous populations. Reusch et al. (2005) showed
that genotypic richness of the cosmopolitan sea-
grass Zostera marina enhanced biomass production
despite near-lethal water temperatures due to
extreme warming across Europe. Crutsinger et al.
(2006) showed that increasing population geno-
typic richness in the old-eld herb Solidago altis-
sima determined arthropod diversity and increased
above-ground net primary productivity. However,
it is difcult to know how general these patterns
are, and whether they apply to woody ecosystems.
Genetic variability among spatially separated
populations of the same tree species has been
shown to be an important driver of litter quality
and ecosystem processes such as decomposition,
herbivory and nutrient cycling (Treseder and
Vitousek 2001, Whitham et al. 2003, Schweitzer
et al. 2004, Schweitzer et al. 2005b), but experi-
mental evidence on the effects of tree intraspecic
genetic richness on ecosystem processes is still
lacking (Hughes et al. 2008). Indeed, most of the
INCORPORATING BIODIVERSITY IN CLIMATE CHANGE MITIGATION INITIATIVES 155
evidence of the positive effects of high species and
genotypic richness comes from the eld of sub-
sistence agriculture and forestry practiced by tra-
ditional peoples (Pretty 1995, Altieri 2004). This
diversity is often lost during the process of selec-
tion for the production of high-yielding varieties.
Therefore the possibility exists that the loss of
inter- and intra-specic genetic variation could
also lead to instability of plantations and other
managed woody ecosystems in the face of a
changing environment.
As for processes related to C loss, there are now
a number of litter-mixing studies that collectively
suggest that generally plant species composition
of litter rather than its richness plays an important
role in decomposition and nutrient cycling rates.
Although the additive effects of species richness
on litter decomposition cannot strictly be consid-
ered a niche complementarity effect in the sense of
complementarity of resource use, they are dis-
cussed here because they involve richness-
relatedeffects, as does the niche complementarity
hypothesis. Litter mixing studies have found litter
species richness to exert generally idiosyncratic or
weak effects on litter mass loss (e.g. Wardle et al.
1997a, Bardgett and Shine 1999, Hector et al. 2000,
reviewed by Gartner and Cardon 2004), while
plant species richness has generally been found to
exert weak or neutral effects on soil processes
(Chapman et al. 1988, Hooper and Vitousek 1998).
Further, it has been shown experimentally that
addition of a greater richness of C substrates to
thesoil(suchasmightbeexpectedinamore
species-rich plant community) did not exert strong
or consistent effects on C loss rates from soil, or on
soil C storage (Orwin et al. 2006). However, in
instances in which NPP is promoted by plant
species richness, it is likely that decomposition
rates would be less unresponsive, in which case
greater C sequestration would be expected over
time. The mechanistic basis through which plant
richness might affect soil processes is relatively
poorly understood. However, the available evi-
dence suggests that plant species richness is not a
powerful driver of soil decomposer richness
(Hooper et al. 2000) and that decomposer richness
is not a major determinant of soil process rates
such as decomposition or nutrient supply rates for
plants (Laakso and Setälä1999, Setäläand McLean
2004, Hättenschwiler et al. 2005).
11.2.5 Where does the available
evidence stand and what else do we need
to know?
In summary, the predictions of these different
hypotheses for the incorporation of biodiversity in C
sequestration initiatives vary markedly. Taken to an
extreme, the mass ratio hypothesis predicts that C
storage would be maximized by planting a mono-
culture of the species with the combination of traits
(stature, lifespan, timber density, decomposition
rate, resistance to re, wind-throw, and pests) that
produces the highest species specic C storage for a
given area. The niche complementarity hypothesis
predicts that C storage will be impacted by inter-
specic differences among coexisting species, in
terms of resource use and tolerance to biotic and
abiotic factors. It also predicts that it may be possible
to increase C storage by planting complementary
mixtures of species, sets of species with known
mutually facilitative effects, and/or ensuring that a
mosaic of late- and early-successional patches is kept
(e.g. Caspersen and Pacala 2001). Finally, the neutral
hypothesis predicts that the C storage capacity of
natural forests will vary randomly with stochastic
shifts in species abundances. In plantations it may be
possible to inuence C storage by controlling the
recruitment stage, for example by increasing seed or
seedling input of species that are good at seques-
tering C but are poor recruiters.
The three hypotheses all stem from strong
theoretical developments and are all supported
by empirical evidence to varying degrees in for-
ested systems. Most of the experiments from
whichthisevidenceisderivedwerenotorigin-
ally designed to test these hypotheses. Moreover,
there is an important body of results of experi-
ments specically designed to test the effect of
biodiversity (and most commonly species rich-
ness) on the functioning of grasslands (reviewed
in Loreau et al. 2001, Díaz et al. 2005, Hooper et al.
2005) but there are few corresponding experi-
mental studies in woody ecosystems, which may
not necessarily behave in similar way to herba-
ceous ecosystems.
156 BIODIVERSITY, ECOSYSTEM FUNCTIONING, AND HUMAN WELLBEING
Table 11.1 provides an overview of recent studies
of the role of different components of plant biodi-
versity in C gain and loss of forest ecosystems. They
include primary forests, traditionally managed
forests, and commercial and experimental planta-
tions. Our synthesis, which is intended to be illus-
trative rather than exhaustive, reects the scarcity
of published studies involving woody plants. This
is true for all continents, but particularly dramatic
in Latin America, Africa, and Asia, precisely where
most remaining high-diversity forests are located.
There have been some studies that can be inter-
preted in the light of the mass ratio or niche com-
plementarity hypotheses to varying degrees. As for
the neutral hypothesis, we found no study directly
linking it with the way in which biodiversity could
affect ecosystem processes. According to the origi-
nal authorsinterpretation of their own results
(Table 11.1, third column) there seems to be more
support for the mass ratio hypothesis than for the
niche complementarity hypothesis, in the sense that
the authors conclude that composition (the pres-
ence of certain tree species) appears to play a more
important role than species richness. However,
compositional differences could arise from either
mass ratio or niche complementarity effects or some
combination of the two (Loreau and Hector 2001).
Distinguishing the relative contributions of these
two mechanisms will require future studies that are
explicitly designed to discriminate among the two
classes of causes. Evidence for relationships
between species richness and stability of forests and
plantations is mixed. It follows that particular
attention should be paid to the identity of the spe-
cies chosen for afforestation, reforestation and
rehabilitation projects, with the actual richness of
species planted taking second place. However, (1)
positive effects on ecosystem functioning are often
found in mixtures of two or more species compared
to monocultures; (2) virtually all the reported
studies were not specically designed to distin-
guish between the three different hypotheses, and
the patterns observed may t more than one of
them (e.g. Chave 2004, Volkov et al. 2005); and (3)
mass ratio, niche complementarity, and neutral
hypothesis mechanisms may all be acting simulta-
neously (e.g. Potvin and Gotelli 2008).
An experimental test of the neutral hypothesis
through the removal of dominant species has
recently been performed for intertidal communi-
ties (Wootton 2005), but the feasibility of this
approach for use in other systems is unclear.
Experiments to denitively establish the relative
importance of the mass ratio and niche comple-
mentarity mechanisms for determining ecosystem
properties in forests will ideally require the
establishment of monocultures and mixtures of all
component species under the same environmental
and management conditions (e.g. Redondo-Brenes
and Montagnini 2006, Potvin and Gotelli 2008).
This may be practical for species-poor ecosystems
(e.g. boreal forests), but it quickly becomes
unfeasible if one is to incorporate even a fraction of
the high richness of tree species characteristic of
many tropical forests. We also emphasize that
experimental approaches of this type are not the
only way to formally test for the role of biodiver-
sity in ecosystem functioning, and ideally the
results of such studies should be considered
alongside other approaches that have recently
been employed to test how biodiversity affects
forest C sequestration, such as simulation- and
modelling-based approaches (Bunker et al. 2005),
eld removal experiments (Díaz et al. 2003,
Wootton 2005), observational studies using well
characterized gradients of plant diversity (Wardle
et al. 2003a), and forestry projects that incorporate
diversity components into their design (i.e. enrich-
ment planting, e.g. Evans and Turnbull 2004). In the
end, even being able to successfully distinguish
between the relative importance of mass ratio, niche
complementarity, and neutral hypothesis effects
may not necessarily be crucial to the practical
purposes of C sequestration, especially as these
hypotheses are not all mutually exclusive. For
example, experimenting with mixtures that contain
non-random combinations of species (such as those
that represent traditional mixtures), or maximize key
ecosystem services like C sequestration plus food
production, or are the most economically and
socially feasible in each region, might make more
practical sense than incorporating all the possible
mixtures of component species within the experi-
mental design.
INCORPORATING BIODIVERSITY IN CLIMATE CHANGE MITIGATION INITIATIVES 157
Table 11.1 A summary (representative rather than exhaustive) of studies published during the last 13 years on the effects of different components of biodiversity on C sequestration through impacts on C gains or
losses in woody ecosystems.
Ecosystem type and location Main biodiversity
component involved
Findings Source
C gain
Experimental plantations of fast-growing tropical tree
species Hyeronima alchomeoides,Cedrela odorata, and
Cordia alliodora; each species grown alone and with
two perennial, large-stature, monocots (Euterpe
oleracea and Heliconia imbricata)
Species and functional
group richness
Ecosystem productivity and resource capture were increased when the
monocots were grown with C. odorata and C. alliodora, but not with H.
alchomeoides
Haggar and Ewel
(1997)
Boreal forest trees and understorey vegetation on
Swedish lake islands
Species and functional
group richness
Species-rich islands less productive at large spatial scale (between islands)
because more productive species dominate on less diverse islands; some
evidence of greater understorey species richness promoting overall forest
productivity within islands
Wardle et al. (1997),
Wardle et al. (2003),
Wardle and
Zackrisson (2005)
Young plantations of four indigenous tree species:
Hieronyma alchorneoides,Vochysia ferruginea,
Pithecellobium elegans, and Genipa americana, growing
in mixed and pure stands at La Selva Biological Station,
Costa Rica
Species richness and
identity
Total tree biomass production rate of the mixture was not signicantly
higher than that of the most productive monocultures
Stanley and
Montagnini (1999)
Stand productivity in USA Forest Inventory and Analysis
database
Species richness Positive correlation between tree species richness and stand productivity,
especially when comparing monocultures vs. mixtures of two or more
species; variations in abiotic factors not considered
Caspersen and Pacola
(2001)
Stand biomass in global forest dataset Species richness Forest stand biomass not associated with tree species richness Enquist and Niklas
(2001)
Experimental plantations of three native tree species,
Hyeronima alchoreoides,Cedrela odorata, and Cordia
alliodora, in monoculture and in mixtures with the palm
Euterpe oleracea and the giant perennial Heliconia
imbricata, in Costa Rica Atlantic lowlands
Species richness and
composition
and functional group
richness
Tree species richness inuenced ecosystem nutrient use efciency in tree-
only stands. Aboveground net primary productivity after four years was
signicantly higher in polycultures than in monocultures of C. odorata,
and C. alliodora, but not in the case of H. alchomeoides. The presence of
the additional life forms increased nutrient uptake and uptake efciency,
but only in some systems and years
Hiremath and Ewel
(2001)
Although species and life forms exerted considerable inuence on
ecosystem nutrient use efciency, this was most closely related to soil
nutrient availability
Stand productivity of boreal forests dominated by Betula
spp., Picea abies and Pinus sylvestris, under the same
environmental conditions and management
Species richness and
composition
Mixtures of Betula spp. and P. abies more productive than Picea
monocultures, but mixtures of Betula spp. and P. sylvestris were less
productive than P. sylvestris monocultures; species richness effect
signicant only at early successional stages
Frivold and Frank
(2002)
Long-term experimental comparison of different
agroforestry systems in Brazilian Amazonia; peach palm
(Bactris gasipaes) for fruit and heart-of-palm production,
cupuaçu(Theobroma grandiorum), and rubber
(Hevea brasiliensis) planted n multistrata mixtures
and in monocultures, also compared with adjacent
primary rainforest and 14-year old secondary
forest
Species richness and
composition
Multistrata agroforestry system showed more accumulation of above- and
belowground biomass than cupuaçu, rubber, or peach palm for heart-of-
palm, but less than peach palm for fruit
Secondary forest accumulated 50%, and primary forest likely 500% more
total biomass than the most productive plantation
Schroth et al. (2002)
Wood production in Catalonian forests with different
degrees of species richness, dominated by Pinus
sylvestris or Pinus halepensis
Species richness In P. sylvestris forests wood production was not signicantly different
between monospecic and mixed plots. In P. halepensis forests wood
production was greater in mixed plots than in monospecic plots. No
signicant effect of species richness when environmental factors were
considered.
Vilàet al. (2003)
Experimental plantations of three native tree species,
Hyeronima alchoreoides,Cedrela odorata, and Cordia
alliodora, in monoculture and in mixtures with the palm
Euterpe oleracea and the giant perennial Heliconia
imbricata, in Costa Rica Atlantic lowlands
Species composition
and functional
group richness
Light particulate organic matter C and soil C:N ratio were signicantly
higher, and total soil organic matter C was slightly higher, under H.
alchoreoides, as compared to under the other two tree species
Functional group richness had a positive effect on total and light/
particulate soil organic matter as compared to monocultures of C.
odorata and C. alliodora, but not in the case of those of H.
alchoreoides.
Russell et al. (2004)
Litter production in Catalonian traditionally managed
forests
Species richness,
species and
functional trait
composition
Litter mass larger in 25 species mixtures than in monospecic stand. In
mixed forests, identity of trees determined whether litter stocks increase
with tree diversity.
Vilàet al. (2004)
Simulation study of the magnitude and variability of
aboveground C sequestration in 18 scenarios of tree
species extinction within a species-rich tropical in
Panama
Species richness and
functional trait
composition
Different trait-based scenarios (e.g. order of extinction determined by
wood density, height, growth rate, drought tolerance, also a random
extinction scenario) resulted in strong differences in magnitude and
variability of C stocks
Bunker et al. (2005)
Long-term tree-planting experiment, established in 1955
in NW England; Quercus petraea,Alnus glutinosa,Pinus
sylvestris and Picea abies planted in monocultures and
in 2-spp mixtures
Species richness and
composition
All mixtures involving Pinus sylvestris showed more growth in pure stands
of either species; A. glutinosa mixtures not involving P. sylvestris did not
outperform monocultures, P. abies/Q. petraea mixture showed less
growth than monocultures
Jones et al. (2005)
(Continues)
Table 11.1 (continued)
Ecosystem type and location Main biodiversity
component involved
Findings Source
Review of the 20th century forestry literature with
emphasis on commercial trees in the temperate and
boreal zones
Species and functional
group richness
and composition
Increased productivity in mixtures of species with different spatial,
phenological or successional niches (e.g. Larix/Picea,Quercus/Betula,
Pinus/Picea,Pinus/Betula)
Pretzsch (2005)
Some mixtures (e.g. Picea abies/Betula pendula) sustain production over a
larger range of densities than monocultures and are thus more tolerant to risks
Natural and seminatural forests, plantations and
secondary woodlands in the Ecological and Forest
Inventory of Catalonia (IEFC), including 95 tree species
Species richness,
species and functional
trait composition
Stemwood production increased from single-species to
5-species stands, but stand age and richness were negatively correlated
Species richness had a signicant positive effect on stemwood production
in stands dominated by sclerophyllous species (e.g. Quercus,Arbutus),
and low-productivity conifer stands, but not deciduous species stands in
humid or warmer climates
Vilàet al. (2005)
Experimental mixed plantations of native trees Balizia
elegans,Callophyllum brasiliense,Dipteryx panamensis,
Hyeronima alchorneoide,Jacaranda copaia,Terminalia
amazonia,Virola koschny,Vochysia ferruginea and
Vochysia guatemalensis in Costa Rican tropical rainforest
Species richness Although some individual species were more productive in mixtures than in
monocultures, none of the mixtures showed signicantly higher growth
or C storage than the monocultures of the most productive species
involved in each mixture
Redondo-Brenes and
Montagnini (2006)
Monocultures were compared to 3-species mixtures, all of
them consisting of one fast-growing sp., one slow-
growing sp., and one legume, to keep functional
richness as constant as possible
More than 5000 permanent forest plots in the National
Forest Inventory of Spain in the Catalonia
region, including 51 tree species, growing in
monocultures and in 2- to 5-species mixtures
Species richness,
functional group
richness and identity
Stemwood production was positively associated with tree species richness
and with functional group identity (deciduous forests were more
productive than coniferous or sclerophyllous forests). Functional group
richness did not signicantly explain stemwood production once the
effects of environmental and structural variables were taken into account
Vilàet al. (2007)
Experimental plantations of native tropical trees
representing a range of relative growth rate (Cordia
alliodora,Luehea seemannii,Anacardium excelsum,
Hura crepitans,Cedrela odorata, and Tabebuia rosea)in
monocultures, and 3- and 6-spp. plots, in Central
Panama
Species richness and
composition
Plot biomass (estimated from basal area) did not differ between mixtures
and monocultures or among mixtures. There was a signicant species
richness effect on growth, attributed to complementarity, in the 3-species
mixtures as compared to monocultures, but there was no signicant
effect in 6-species plots. Mortality was strongly dependent on species
identity, and independent of species richness. Overall, there was a
positive complementarity effect (using the additive partitioning method of
Loreau and Hector 2001) of species richness on plot biomass and a
negative selection effect, resulting in no net species richness effect
Potvin and Gotelli
(2008)
C loss
Boreal forest trees and understorey
vegetation on Swedish lake islands
Species and functional
group richness
Species-rich islands supported less soil respiration, microbial biomass and
decomposition at large spatial scale (between islands), contributing to
net C sequestration in the soil
Some evidence of greater understorey species richness promoting these
processes within large (but not small) islands
Differences among islands in belowground processes and C sequestration
are explicable by traits of dominant plant species but not species richness
Wardle et al. (1997),
Wardle et al. (2003),
Wardle and Zackrisson
(2005)
Damage by beetle Phratora vulgatissima and rust
Melampsora spp. on ve Salix genotypes in
monocultures and mixtures in regular and random
spatial arrangements
Genetic richness and
spatial
heterogeneity
Mixtures showed less damage by rust and beetles than monocultures; no
signicant effect of structural design was detected, but the trend was for
decreased damage in random congurations
Peacock et al. (2001),
Hunter et al. (2002)
Microcosms experiments using litter of nine phenotypes
of Quercus laevis in monocultures and in mixtures
Intraspecic phenotypic
richness
and composition
C and N uxes within single phenotype treatments were signicantly, but
unpredictably, different from those of mixtures
No effect of phenotype identity on soil bacterial or microarthropod
communities
Madritch and
Hunter (2002),
Madritch
and Hunter (2005)
Literature review of European forests
(especially N Europe)
Species richness and/or
composition
Different species and functional types differed in wind resistance; mixtures
were not more stable than monospecic stands against windstorms
Dhôte (2005)
Literature review of decomposition rate of single-species
litter vs. litter mixtures of several N Hemisphere tree
species
Species richness and
composition
Sometimes faster decomposition in mixtures; in other studies the effect
was similar to that predicted from the decay rates of individual species
and their relative contribution to the mixture; in two cases lower decay
rate in mixtures; different mixtures involving Pinus or Quercus showed no
consistent effect as compared to monocultures
Hättenschwiler et al.
(2005)
Meta-analysis of 54 studies of insect herbivory on trees,
with emphasis on temperate systems
Species richness and
composition
Tree species growing in mixed stands overall suffer less damage by
specialized herbivore insects than do pure stands; generalist insects
showed a highly variable response
Jactel et al. (2005)
Heterobasidium annosum (butt rot) in pure vs. mixed
stands under different climatic conditions (mostly N
Europe)
Species richness Incidence of H. annosum negatively correlated with tree species richness Korhonen et al. (1998),
as cited in
Pautasso et al. (2005)
Cronartium ribicola rust and Phellinus weirii root rot in
North American forests
Species richness and
composition
Disease spread associated with certain host tree species, rather than with
tree richness
Pautasso et al. (2005)
Literature review of boreal forests Species richness and/or
composition
Mixed stands not more resistant to re than
monospecic stands
Wirth (2005)
(Continues)
Table 11.1 (continued)
Ecosystem type and location Main biodiversity
component involved
Findings Source
Review of 26 experimental studies on the effect of the
diversity of trees in boreal forests on the damage by
invertebrate and vertebrate herbivores and pathogen
species
Tree species
richness and
composition, land-
scape heterogeneity
Species-rich stands not consistently less prone to pest outbreaks and
disease epidemics than monocultures. Composition appeared to play a
greater role than species richness per se
Koricheva et al. (2006)
Susceptibility to inspect pests decreased with increased isolation of stand
within a forest mosaic of non-host species
Experimental boreal forests of Betula pendula,Pinus
sylvestris, and Picea abies in Sweden and Finland
Species richness and
composition
Monocultures of B. pendula and mixed stands containing 25% of B.
pendula and 75% of P. sylvestris showed higher defoliation by insects
early in the season than B. pendula monocultures or 5050 mixtures of B.
pendula and P. sylvestris. No difference between monocultures and
mixtures late in the season
Vehvilaäinen et al.
(2006)
Experimental plantations of native tropical trees
representing a range of relative growth rate (Cordia
alliodora,Luehea seemannii,Anacardium excelsum,
Hura crepitans,Cedrela odorata and Tabebuia rosea)in
monocultures, and 3- and 6-spp. plots, in Central
Panama
Species richness,
species and functional
trait composition
After c. 4 years from establishment, no consistent general effect of species
richness was found on either litter production or decomposition. Litter
production was signicantly affected by tree species richness and
identity, with the majority of intermediate-richness mixtures showing
higher litter yields than expected based on monoculture. Litter
decomposition also varied with species identity and functional attributes.
High-richness mixtures decomposed at rates that were no different from
expected on the basis of their component species. However, individual
species changed their decomposition pattern depending on the richness
of the litter mixture
Scherer-Lorenzen et al.
(2007a)
Experimental decomposition of monocultures and
mixtures of 2, 3, 4, and 5 dominant species of central
Argentina mountain woodlands, representing a range of
functional groups decomposition rates (Acacia caven,
Lithraea molleoides,Bidens pilosa,Hyptis mutabilis, and
Stipa eriostachya)
Species richness,
species and functional
trait composition
When up to ve species were included, both species richness and
functional composition showed non-additive, mostly positive effects on
litter mixture decomposition. The synergistic effects of species richness
were signicant when the richness of the mixtures changed from 2 to 34
species. A greater positive effect was found in mixtures with higher mean
nitrogen content and a higher heterogeneity in non-labile compounds.
Litter mean quality and chemical heterogeneity were the most important
factors explaining decomposability of mixtures
Pérez Harguindeguy
et al. (2008)
11.3 Making the most of biodiversity
in the design of climate change
mitigation initiatives
The major hypotheses examined above, and the
evidence available so far, indicate that the incor-
poration of biodiversity considerations has the
potential to inuence the magnitude and long-term
persistence of C-sequestration initiatives. The lead-
ing role of the functional traits of locally dominant
plant species is supported by strong evidence from
a variety of ecosystems. However, considerably
more experimental, observational, and modelling
work is needed to elucidate many specic details,
such as to what extent increasing the small-scale
species richness of reforestation or afforestation
actions can increase their ability to store C. Never-
theless, we believe that some practical recommen-
dations can already be made based on the current
level of knowledge.
Protecting primary forests is the best C seques-
tration option. For obvious practical reasons, to
date there is no published biodiversity experiment
involving formal experimental manipulation of tree
species richness beyond six species. However, pri-
mary forests usually have a larger number of species
and a wider range of plant functional attributes than
do planted forests. They also tend to be dominated
by large-sized, slow-growing species that are con-
servative with resources. Therefore, under both the
niche complementarity and mass ratio hypotheses,
we expect them to maximize C stocks. Available
evidence from the biodiversity and biogeochemistry
literature supports this idea. Primary forest ecosys-
tems represent the most important biological C sinks
on the planet in terms of both quantity and likely
stability through time (Buchmann and Schulze 1999,
Valentini et al. 2000, Schimel et al. 2001, Schulze 2005,
Luyssaert et al. 2008). With very few exceptions, they
contain larger C stocks than younger forests in all
biomes (Pregitzer and Euskirchen 2004, Schulze
2005). Recent studies suggest that C outputs and
inputs in primary forests are frequently not at equi-
librium, and that such forests are active, albeit
sometimes small, C sinks (Schimel et al. 2001, Schulze
et al. 2002, Sabine et al. 2004, Schulze 2005, Luyssaert
et al. 2008). In temperate and boreal zones, forests
contain large quantities of carbon and can continue
accumulating it for centuries (Luyssaert et al. 2008).
There is less empirical information for tropical for-
ests, but their C exchange appears to be approxi-
mately balanced, or even slightly positive (Schimel
2007, Stephens et al. 2007). This points to a gross sink
that compensates for emissions due to tropical
deforestation and res. Primary forests often show a
lower uptake of C per unit time than do newly
established plantations (Gower 2003) but on the
other hand they sequester it for a longer time. Also,
the process of land conversion, for example during
the establishment of a new plantation, often releases
very large amounts of C from the soil to the atmo-
sphere (Valentini et al. 2000, Guo and Gifford 2002,
Pregitzer and Euskirchen 2004). As a consequence,
the net balance of C sequestered per hectare is
usually more strongly positive in the case of primary
forests than for new plantations, with the benets
from the latter being more transitory and uncertain
(Schulze 2005). Primary forests are being destroyed
at accelerated rates, especially in the African and
Latin American tropics (Lambin et al. 2003, Fearnside
and Barbosa 2004, Shvidenko et al. 2005). The
amount of forested area lost is still impossible to
match by plantation initiatives, and this is likely to
continue to be the case for the next several decades.
Plantations can also involve high monetary and
environmental costs. For example, the monetary cost
of sequestering 1 Mg of C by forestation and agro-
forestry activities has been estimated as being more
than triple than that of sequestering the same
amount by conservation of already existing forests
(van Kooten et al. 2004). Another recent study shows
that monospecic plantations of fast-growing trees in
southern South America have strong negative
impacts on water supply and soil fertility (Jackson
et al. 2005). An additional reason to protect primary
forests is that changes in the functional attributes of
vegetation over large areas can affect climate directly
through water and energy exchange (Chapin et al.
2008).
The maximization of short-term C sink strength
is unlikely to be the best option for C sequestration
in the longer term. As explained in previous sections
and illustrated in Fig. 11.2, the well-supported mass
ratio hypothesis predicts that there is fairly a uni-
versal tradeoff between a suite of plant attributes
that promotes fast C and mineral nutrient
INCORPORATING BIODIVERSITY IN CLIMATE CHANGE MITIGATION INITIATIVES 163
acquisition and loss (acquisitivesyndrome), and
another that promotes slower acquisition but long
retention of resources within well-protected tissues
(conservativesyndrome). This suggests that a man-
agement regime that simultaneously maximizes rapid
C uptake from the atmosphere and its long-term
sequestration is unlikely to be found. This is directly
relevant to C sequestration initiatives, since at any
time a C-sequestering project is launched, a decision
should be made in favor of one or the other side of
the tradeoff (Aerts 1995, Caspersen and Pacala 2001,
Noss 2001). For example, early-successional, light-
demanding, fast-growing species should be selected
when the goal is to maximize short-term productivity.
However, C sequestration in the longer term will be
greater in areas dominated by later-successional spe-
ciesthatareslowergrowingbuthavedensertimber,
and whose litter decomposes more slowly. In view of
this, high sink capacity in the short term should not be
considered as the major criterion in reforestation/
afforestation initiatives. In general, careful consider-
ation of the species and genotypes chosen for each C
sequestration project is needed (Lal 2004). There are
strong ecological bases to suggest that fast-growing,
genetically homogenous, easy-to-manage, wide-
spread forestry species and genotypes (e.g. members
of Eucalyptus,Pinus,andAcacia widely planted in
South America, Africa, and East Asia) may not rep-
resent the most effective option in terms of long-term
C sequestration. Also, the choice of species and gen-
otypes with the appropriate attributes for local
(present and projected) climatic and disturbance
conditions (e.g. re proneness, storm, or frost fre-
quency) is very important. The same considerations
apply to plantations that serve as sources of solid
biofuel, although permanence is obviously less of an
issue in that case.
Mixed forestry systems might be more stable in the
face of environmental variability and directional change
than monocultures, and they might sequester C more
securely in the long term. This recommendation is
consistent with the niche complementarity hypothe-
ses, as well as the results of several experiments in
herbaceous communities. The evidence from forest
ecosystems is still inconclusive, and long-term eld-
scale experimental, observational and theoretical
studies are needed to rigorously test whether, how
generally,and for how long increasing the number of
genotypes, species and functional types can benet
afforestation, reforestation, agroforestry, secondary
forest recovery and solid biofuel plantation initia-
tives. However, thousands of years of agricultural
experience point to the use of polycultures as a
promising precaution to buffer forest production
throughout the year and also against environmental
change and variability and pest and weed damage.
Tree monocultures often, but not always, promote
less SOC accumulation than primary or secondary
forests (see Lal 2005, Jandl et al. 2007 for reviews). But
even in cases where the amount of C sequestered by
a monoculture is higher, the use of mixtures of more
than one tree species may be a good alternative for
small or medium-sized farms, especially in tropical
and subtropical areas. This is because mixed plan-
tations provide a wider range of products and
opportunities. For instance, fast-growing and slow-
growing species provide revenues in the short and
long term, respectively; different species provide
non-forest products such as fruit at different times of
the year and thus improve food security and buffer
market risks (Piotto et al. 2004, Montagnini et al.
2005). These ancillary benets of mixed plantations
and agroforestry systems increase the interest of local
stakeholders in establishing and protecting forests
and diminish incentives for changing to other land
uses (Liebman and Staver 2001, Pretty and Ball 2001,
Schroth et al. 2002, Piotto et al. 2004, Montagnini et al.
2005). Sometimes the recovery of the natural forest is
limited by animal dispersal of propagules, soil
moisture, and competition from herbaceous plants.
Mixed plantations offer an alternative in these cases.
For example, in Costa Rica, more individuals and
species of native trees were found to regenerate in
the understorey of mixed plantations than those
under monocultures (Guariguata et al. 1995, Powers
et al. 1997, Carnevale and Montagnini 2002).
Plantations established with the specic purpose of C
sequestration or biofuel production can, and should, be
compatible with biodiversity conservation. It is vitally
important that projects supported through the
CDMs or other initiatives aimed at increasing C
uptake do not come at the direct or indirect cost of
clearing natural ecosystems, and that they maintain
a high ecosystem-service value from the point of
view of local communities rather than simply
meeting the C credit priorities of external investors
164 BIODIVERSITY, ECOSYSTEM FUNCTIONING, AND HUMAN WELLBEING
(Niesten et al. 2002, Prance 2002, Fearnside 2006a).
Niesten et al. (2002), Schulze et al. (2003) and
Chadzon (2008) provide examples of forestry pro-
jects that, rather than decreasing pressure on natural
ecosystems, may contribute to their destruction, in
the name of the creation of C sinks. Agroforestry
practices have the potential to store large amounts
of C while at the same time protecting biodiversity.
For example, Brandle et al. (1992) and Noss (2001)
highlighted the potential of planted shelterbelts and
riparian forests that store C and at the same time
provide wildlife habitat and permanent regional
vegetation connectivity. Modeling efforts by Bolker
et al. (1995) and Pacala and Deutschman (1995)
suggest that species-rich and spatially heterogeneous
forests could have a C sequestration potential of up
to 50 per cent more than monospecic, spatially
homogeneous forests. As in the case of managed
forests not specically designed for C sequestration
processes, high inter- and intraspecic genotypic
richness, the inclusion of local genotypes, and the
maintenance of a rich and heterogeneous landscape
increases the value of plantations for local societies,
and thus their willingness to protect them. This
enhances their potential to preserve their long-term
survival and C sequestration capacity (Prance 2002,
Díaz et al. 2005). On the other hand, local commu-
nities have little to win and much to lose (e.g. tra-
ditional medicine, cultural and spiritual values,
employment) from reliance on monospecicstands
of fast-growing (and often introduced) tree species
and varieties. The incorporation of what is valuable
biodiversityfrom the local communityspointof
view is essential for striking the right balance
between biodiversity and C sequestration and for
ensuring the long-term protection of C-sequestering
plantations (Díaz and Cáceres 2000, Prance 2002,
Saunders et al. 2002, Díaz et al. 2005, Canadell and
Raupach 2008).
Decisions about the species and genotype richness and
composition of protected or newly established plantations or
agroforestry systems should be tailored to the local context.
It is important to keep an open perspective and to
avoid mechanical application of general principles to
individual projects without careful consideration of
the resource base, prevailing disturbance conditions,
scale of the project, and attributes of the organisms
(including not only the planted species) and ecosys-
tems involved. A practical way to increase our
understanding of how, where, and why different
biodiversity components affect the C-sequestration
capacity of different ecosystems would be to incor-
porate an experimental component to climate change
mitigation and agroforestry and forest rehabilitation
initiatives (e.g. Ewel 1986, Montagnini et al. 2005,
Scherer-Lorenzen et al. 2005b). Moreover, we are
aware of a wealth of information being produced by
the forestry sector, but this is not often reected in the
peer-reviewed literature. In this sense, the recent book
edited by Scherer-Lorenzen et al. (2005a) has made a
valuable contribution through making available a
large body of difcult-to-access and diffuse literature
from the forestry sector. A similar effort with specic
focus on key regions (e.g. Latin America, Africa,
Southeast Asia) including the wealth of information
accumulated by governmental and non-governmen-
tal grassroots initiatives, would be valuable for help-
ing nd the best options for simultaneous C
sequestration and biodiversity protection in primary,
managed and planted forests.
11.4 Final remarks
In the past few years, the focus of international
mitigation efforts seems to have shifted from cut-
ting fossil fuel emissions to enhancing C seques-
tration, with the remarkable exception of some
actions taken during the most recent COPs (see
Introduction). The potential contribution of C
sinks to climate change mitigation is clearly less
important in terms of C released to the atmo-
sphere, than that of decreasing emissions from
fossil fuel burning (IGBP 1998, Prentice et al. 2001).
Therefore, by no means do we believe that miti-
gation initiatives are a substitute for cutting fossil
fuel emissions, however benecial for the conser-
vation of biodiversity they would be. That said,
there is considerable potential for increasing the
worlds C stocks through management practices
(Watson et al. 2000, Niles et al. 2002, Fischlin et al.
2007, Canadell and Raupach 2008). Considering
the dramatic observed and projected consequences
of climate change (IPCC 2007), we must exploit
this potential to the largest possible extent. Equally
important is making sure that C sequestration
measures do not backre in the long term, for
INCORPORATING BIODIVERSITY IN CLIMATE CHANGE MITIGATION INITIATIVES 165
instance by ensuring that their overall environ-
mental costs do not offset their benets.
On the basis of the ndings summarized above,
and in accordance with other authors (IGBP 1998,
Schulze et al. 2002, Schulze et al. 2003, Fearnside
2006b, Luyssaert et al. 2008), we suggest that the
conservation of natural ecosystems is the best C
sequestration option available. Natural ecosys-
tems, with their ability to simultaneously maintain
C stocks, biodiversity, and ecosystem services, and
their built-in capacity to cope with environmental
change and variability, are the ultimate win-win
climate mitigation option. There is no substitute
for the C-sequestration capacity of natural forests,
nor any practical way to reproduce the biodiversity
of some of them (Myers et al. 2000) or to substitute
for the ecosystem services they provide (Millennium
Ecosystem Assessment 2003, Shvidenko et al. 2005).
There is evidence suggesting that their functional
composition is changing and that they are losing
species at an alarming rate due to land use change
(e.g. Sala et al. 2000, Brook et al. 2003, Gaston et al.
2003), and climate change (Parmesan and Yohe 2003,
Root et al. 2003, Lenoir et al. 2008). In view of this,
probably the best long-term C sequestration option
would be to encourage scientic and policy efforts
that preserve their integrity.
In those areas where afforestation and deforesta-
tion will not come at the cost of destroying natural
ecosystems (e.g. in degraded, not recently deforested
areas, or areas where the forest is unlikely to recover
naturally, Appanah and Weinland 1992, Montagnini
et al. 2005), our ndings strongly suggest that built-in
biodiversity considerations will not only increase
their overall ecosystem-service value (Millennium
Ecosystem Assessment 2003), but also specically
enhance their long-term C sequestering capacity. In
order to make a difference for mitigating the effects of
global warming, the size, longevity, and reliability of
biological C stocks are more important considerations
than sink rates. Consequently, preserving the integ-
rity of natural systems, and building diverse systems
with a careful consideration of the most suitable
dominant and subdominant species and genotypes, is
probably the most appropriate way forward. This is
not free of technical difculties, but its long-term
costbenet ratio appears low when all economic,
social, and environmental factors are considered.
In view of this, the lack of biodiversity considera-
tions in the main body of the Kyoto Protocol is
unfortunate to say the least. Particularly worrying is
the fact that in the rst commitment period of the
CDMs only afforestation and reforestation are
included, considering that more than half of the
worlds forested area is located in developing coun-
tries and that they are facing accelerating deforesta-
tion rates (Lambin et al. 2003, Shvidenko et al. 2005). In
our view, in order to reverse this trend, biodiversity
considerations should be incorporated into C
sequestration initiatives. In this sense, the request of
some developing countries to incorporate the pro-
tection of tropical forests into the second commitment
period of the Kyoto Protocol (http://unfccc.int/
resource/docs/2005/cop11/eng/misc01.pdf), and the
new international interest in avoided deforestation
with explicit mention to biodiversity (e.g. REDD) are
signs that the tide might be turning towards a more
positive direction.
Acknowledgements
This chapter greatly beneted from input by D. E.
Bunker, O. Canziani, and N. Pérez-Harguindeguy,
and from critical review by M. Loreau. It is a
product of Núcleo DiverSus (endorsed by
DIVERSITAS and the Global Land Project). It has
also beneted from fruitful interactions between
its authors and the participants in the DIVERSI-
TAS ECOServices Meeting Biodiversity and Car-
bon Sequestration(710 September 2005, Danum
Valley Field Centre, Sabbah). SD was supported
by FONCyT, CONICET, Universidad Nacional de
Córdoba (Argentina), the J. S. Guggenheim Memo-
rial Foundation and the Inter-American Institute for
Global Change Research (CRN II 2015, supported by
the US National Science Foundation Grant GEO-
0452325) while carrying out research leading to this
chapter.
166 BIODIVERSITY, ECOSYSTEM FUNCTIONING, AND HUMAN WELLBEING
7 The analysis of biodiversity experiments: from pattern
toward mechanism 94
Andy Hector, Thomas Bell, John Connolly, John Finn, Jeremy Fox,
Laura Kirwan, Michel Loreau, Jennie McLaren, Bernhard Schmid,
and Alexandra Weigelt
8 Towards a food web perspective on biodiversity and
ecosystem functioning 105
Bradley Cardinale, Emmett Duffy, Diane Srivastava, Michel Loreau,
Matt Thomas, and Mark Emmerson
9 Microbial biodiversity and ecosystem functioning under
controlled conditions and in the wild 121
Thomas Bell, Mark O. Gessner, Robert I. Griffiths, Jennie McLaren,
Peter J. Morin, Marcel van der Heijden, and Wim van der Putten
10 Biodiversity as spatial insurance: the effects of habitat
fragmentation and dispersal on ecosystem functioning 134
Andrew Gonzalez, Nicolas Mouquet, and Michel Loreau
Part 3: Ecosystem services and human wellbeing 147
11 Incorporating biodiversity in climate change mitigation initiatives 149
Sandra
´az, David A. Wardle, and Andy Hector
12 Restoring biodiversity and ecosystem function: will an integrated
approach improve results? 167
Justin Wright, Amy Symstad, James M. Bullock, Katharina Engelhardt,
Louise Jackson, and Emily Bernhardt
13 Managed ecosystems: biodiversity and ecosystem functions in
landscapes modified by human use 178
Louise Jackson, Todd Rosenstock, Matthew Thomas, Justin Wright,
and Amy Symstad
14 Understanding the role of species richness for crop pollination services 195
Alexandra-Maria Klein, Christine Mu
¨ller, Patrick Hoehn, and Claire Kremen
15 Biodiversity and ecosystem function: perspectives on disease 209
Richard S. Ostfeld, Matthew Thomas, and Felicia Keesing
16 Opening communities to colonization the impacts of invaders on
biodiversity and ecosystem functioning 217
Katharina Engelhardt, Amy Symstad, Anne-Helene Prieur-Richard,
Matthew Thomas, and Daniel E. Bunker
vi CONTENTS
17 The economics of biodiversity and ecosystem services 230
Charles Perrings, Stefan Baumga
¨rtner, William A. Brock, Kanchan Chopra, Marc Conte,
Christopher Costello, Anantha Duraiappah, Ann P. Kinzig, Unai Pascual, Stephen Polasky,
John Tschirhart, and Anastasios Xepapadeas
18 The valuation of ecosystem services 248
Edward B. Barbier, Stefan Baumga
¨rtner, Kanchan Chopra, Christopher Costello, Anantha
Duraiappah, Rashid Hassan, Ann P. Kinzig, Markus Lehman, Unai Pascual, Stephen Polasky,
and Charles Perrings
19 Modelling biodiversity and ecosystem services in coupled
ecological–economic systems 263
William A. Brock, David Finnoff, Ann P. Kinzig, Unai Pascual, Charles Perrings,
John Tschirhart, and Anastasios Xepapadeas
Part 4: Summary and synthesis 279
20 TraitNet: furthering biodiversity research through the curation,
discovery, and sharing of species trait data 281
Shahid Naeem and Daniel E. Bunker
21 Can we predict the effects of global change on biodiversity loss
and ecosystem functioning? 290
Shahid Naeem, Daniel E. Bunker, Andy Hector, Michel Loreau,
and Charles Perrings
References 299
Index 357
CONTENTS vii
Contributors
Patricia Balvanera, Centro de Investigaciones en Ecosis-
temas, Universidad Nacional Auto
´noma de Me
´xico,
Apdo. Postal 27-3, Sta. Ma. de Guido, Morelia,
Michoaca
´n, Me
´xico 58090; pbalvane@oikos.unam.mx
Edward B. Barbier, University of Wyoming, Department
of Economics and Finance, Department 3985, Ross Hall
123, Laramie, WY 82071, USA; ebarbier@uwyo.edu
Stefan Baumga
¨rtner, Leuphana Universita
¨tLu
¨neburg
Centre for Sustainability ManagementPostfach 2440 D-
21314 Lu
¨neburg, Germany; baumgaertner@leuphana.de
Thomas Bell, Department of Zoology, University of
Oxford, South Parks Road, Oxford OX1 3PS, UK;
thomas.bell@zoo.ox.ac.uk
Emily Bernhardt, Department of Biology, Box 90388,
Duke University, Durham, NC 27708, USA; ebern-
har@duke.edu
William A. Brock, University of Wisconsin, Madison
Department of Economics, 1180 Observatory Drive,
Madison, WI 53706, USA; wbrock@ssc.wisc.edu
Daniel E. Bunker, Department of Biological Sciences,
New Jersey Institute of Technology, 433 Colton Hall,
University Heights, Newark, NJ 07102-1982, USA;
dbunker@njit.edu
Bradley J. Cardinale, Department of Ecology, Evolution
and Marine Biology, University of California at Santa
Barbara, Santa Barbara, California 93106, USA; cardi-
nale@lifesci.ucsb.edu
Kanchan Chopra, Institute of Economic Growth, Delhi
University Enclave, Delhi 110 007, India; kan-
chan@iegindia.org
John Connolly, Environmental and Ecological Modelling
Group, UCD School of Mathematical Sciences, Dublin,
Ireland; john.connolly@ucd.ie
Marc Conte, Environmental Science & Management, Uni-
versity of California Santa Barbara, 4410 Bren Hall,Santa
Barbara, CA 93106-5131, USA; conte@bren.ucsb.edu
Christopher Costello, Donald Bren School of Environ-
mental Science & Management, University of California
Santa Barbara, 4410 Bren Hall,Santa Barbara, CA 93106-
5131, USA; costello@bren.ucsb.edu
Sandra
´az, Instituto Multidisciplinario de Biologı
´a
Vegetal (CONICET-UNC) and FCEFyN, Universidad
Nacional de Co
´rdoba, Casilla de Correo 495, 5000
Co
´rdoba, Argentina; sdiaz@com.uncor.edu
J. Emmett Duffy, Virginia Institute of Marine Science,
The College of William and Mary, Gloucester Point, VA
23062-1346, USA; jeduffy@vims.edu
Anantha Duraiappah, Ecosystem Services Economics
Unit, Division of Environmental Policy Implementa-
tion, United Nations Environment Programme
(UNEP),United Nations Avenue, Gigiri, PO Box 30552,
00100Nairobi, Kenya;anantha.duraiappah@unep.org
Mark C. Emmerson, Environmental Research Institute,
University College Cork, Lee Road, Cork, Ireland, and
Department of Zoology, Ecology and Plant Science
Distillery Fields, North Mall, University College Cork,
Ireland; emerson@ucc.ie
Katharina Engelhardt, University of Maryland Center for
Environmental Science, Appalachian Laboratory, 301
Braddock Road, Frostburg, MD 21532, USA; engel-
hardt@al.umces.edu
John Finn, Teagasc, Environment Research Centre, Johns-
town Castle, Wexford Ireland; john.finn@teagasc.ie
David Finnoff, University of Wyoming, Department of
Economics and Finance, Department 3985, Ross Hall
123, Laramie, WY 82071, USA; Finnoff@uwyo.edu
Dan F. B. Flynn, Department of Ecology, Evolution and
Environmental Biology (E3B), Columbia University,
Schermerhorn Extension, 10th Floor, Mail Code 5557,
1200 Amsterdam Avenue, New York, NY 10027, USA;
dff2101@columbia.edu
Jeremy Fox, Department of Biological Sciences, University
of Calgary, 2500 University Drive NW, Calgary, Alberta
T2N 1N4 Canada; jefox@ucalgary.ca
Mark O. Gessner, Department of Aquatic Ecology, Eawag:
Swiss Federal Institute of Aquatic Science & Technology,
8600 Du
¨bendorf, Switzerland and Institute of Integrative
Biology (IBZ), ETH Zurich, 8600 Du
¨bendorf, Switzerland
Jasmin A. Godbold, Oceanlab, University of Aberdeen,
Main Street, Newburgh, Aberdeenshire, AB41 6AA,
UK; j.a.godbold@abdn.ac.uk
viii
Andrew Gonzalez, Department of Biology, McGill
University, 1205 Dr., Penfield Avenue, Montreal, H3A
1B1, Canada; andrew.gonzalez@mcgill.ca
John N. Griffin, Marine Biological Association of the
United Kingdom, The Laboratory, Citadel Hill, Ply-
mouth PL1 2PB, UK and Marine Biology and Ecology
Research Centre, School of Biological Sciences, Uni-
versity of Plymouth, Plymouth PL4 8AA, UK
Robert I. Griffiths, Molecular Microbial Ecology Section,
Centre for Ecology and Hydrology (Oxford), Mansfield
Road, Oxford OX1 3SR, UK
Rashid Hassan, Dept of Agricultural Economics Exten-
sion and Rural Development, University of Pretoria,
PRETORIA 0002, South Africa;rashid.hassan@up.ac.za
Andy Hector, Institute of Environmental Sciences,
University of Zurich, CH-8057, Zurich, Switzerland;
ahector@uwinst.uni.ch
Patrick Hoehn, Department of Crop Science, Agroecology,
University of Go
¨ttingen, Waldweg 26, 37073 Go
¨ttingen,
Germany
Louise Jackson, Department of Land, Air and Water
Resources, University of California, Davis, CA 95616,
USA; lejackson@ucdavis.edu
Stuart R. Jenkins, School of Ocean Sciences, University
Bangor Menai Bridge, Anglesey LL59 5AB, UK
Kate E. Jones, Institute of Zoology, Zoological Society of
London and Cambridge University, Regent’s Park,
London NW1 4RY, UK
Felicia Keesing, Biology Program, Bard College, Annan-
dale-on-Hudson, NY 12504, USA
Ann P. Kinzig, ecoSERVICES Group, School of Life Sci-
ences, Arizona State University, Box 874501, Tempe, AZ
85287-4501, USA; kinzig@asu.edu
Laura Kirwan, Teagasc, Environment Research Centre,
Johnstown Castle, Wexford Ireland; Laura.Kirwan@
teagasc.ie
Alexandra-Maria Klein, Department of Environmental
Science, Policy and Management, 137 Mulford Hall,
University of California at Berkeley, California 94720-
3114, USA and Department of Crop Science, Agro-
ecology, University of Go
¨ttingen, Waldweg 26, 37073
Go
¨ttingen, Germany
Claire Kremen, Department of Environmental Science,
Policy and Management, 137 Mulford Hall, University
of California at Berkeley, California 94720-3114, USA
Markus Lehmann, Secretariat of the Convention on Bio-
logical Diversity, 413, Saint Jacques Street, suite 800
Montreal QC, H2Y 1N9, Canada; markus.leh-
mann@cbd.int
Michel Loreau,DepartmentofBiology,McGillUniversity,
1205 ave Docteur Penfield, Montreal, Que
´bec H3A 1B1,
Canada; michel.loreau@mcgill.ca
Jennie R. McLaren, Department of Botany, University of
British Columbia, #3529-6270 University Boulevard,
Vancouver, BC, V6T 1Z4, Canada; jmclaren@
interchange.ubc.ca.
Peter J. Morin, Department of Ecology, Evolution, and
Natural Resources, Rutgers Cook College, 148 ENRS
Building, Cook Campus, 14 College Farm Road, New
Brunswick, New Jersey, USA
Nicolas Mouquet, ISEM-UMR 5554, University of
Montpellier II, Place Eugene Bataillon, CC065, 34095
Montpellier Cedex 05, France
Christine Mu
¨ller, Institute of Environmental Sciences,
University of Zu
¨rich, Winterthurerstrasse 190, CH-8057
Zu
¨rich, Switzerland
Shahid Naeem, Department of Ecology, Evolution, and
Environmental Biology, Columbia University, 1200
Amsterdam Ave, MC 5557, New York, NY 10025, USA;
sn2121@columbia.edu
Eoin J. O’Gorman, Environmental Research Institute, Lee
Road Cork, Ireland, and Department of Zoology, Ecology
and Plant Science, Distillery Fields, North Mall,
University College Cork, Ireland; e.ogorman@mars.ucc.ie
Richard S. Ostfeld, Cary Institute of Ecosystem Studies,
PO Box AB, Millbrook, NY 12545, USA
Unai Pascual, Department of Land Economy, University
of Cambridge, 19 Silver Street, Cambridge, CB3 9EP,
UK; up211@cam.ac.uk
Charles Perrings, ecoSERVICES Group, School of Life
Sciences, Arizona State University, Box 874501, Tempe,
AZ 85287-4501, USA; Charles.Perrings@asu.edu
Owen L. Petchey, Department of Animal and Plant
Sciences, Alfred Denny Building, University of Shef-
field, Western Bank, Sheffield S10 2TN, UK; o.petchey@
sheffield.ac.uk
Andrea B. Pfisterer, Institute of Environmental Sciences,
Universita
¨tZu
¨rich, Winterthurerstrasse 190, CH-8057
Zu
¨rich, Switzerland; pfisterer@uwinst.unizh.ch
Stephen Polasky, Department of Applied Economics,
University of Minnesota, 1994 Buford Avenue, St Paul,
MN 55108, USA; polasky@umn.edu
Anne-Helene Prieur-Richard, DIVERSITAS, Muse
´um
National d’Histoire Naturelle (MNHN), 57 Rue Cuvier
CP 41, 75231 Paris Cedex 05, France; anne-helene@
diversitas-international.org
David Raffaelli, Environment Department, University of
York, York, UK; dr3@york.ac.uk
Todd Rosenstock, Department of Plant Sciences,
University of California, Davis, CA 95616, USA;
trosenstock@ucdavis.edu
Mahesh Sankaran, Institute of Integrative and Compar-
ative Biology, Faculty of Biological Sciences, University
of Leeds, Leeds LS2 9JT, UK
CONTRIBUTORS ix
Bernhard Schmid, Institute of Environmental Sciences,
Universita
¨tZu
¨rich, Winterthurerstrasse 190, CH-8057
Zu
¨rich, Switzerland; bernhard.schmid@ uwinst.uzh.ch
Martin Solan, Oceanlab, University of Aberdeen, Main
Street, Newburgh, Aberdeenshire, Scotland AB41 6AA,
UK; m.solan@abdn.ac.uk
Diane S. Srivastava, Department of Zoology, University
of British Columbia, Vancouver, British Columbia V6T
1Z4, Canada; srivast@zoology.ubc.ca
Amy Symstad, U.S. Geological Survey, Northern Prairie
Wildlife Research Center, 306 East Saint Joseph Street,
Suite 210, Rapid City, SD 57701, USA and U.S.
Geological Survey, Northern Prairie Wildlife Research
Center, 26611 U.S. Highway 385, Hot Springs, SD 57747,
USA; asymstad@usgs.gov
Matthew Thomas, Center for Infectious Disease Dynamics
and Department of Entomology, 1 Chemical Ecology Lab,
Penn State, University Park 16802, PA, USA; mbt13@psu.
edu and Matthew Thomas, CSIRO Entomology, GPO Box
1700, Canberra, ACT 2601, Australia; matthew.tho-
mas@csiro.au
John Tschirhart, University of Wyoming, Department of
Economics and Finance, Department 3985, Ross Hall
123, Laramie, WY 82071, USA; tsch@uwyo.edu
Marcel van der Heijden, Ecological Farming systems
Research Station ART, Agroscope Reckenholz Tanikon,
Reckenholzstrasse191, 8046 Zurich, Switzerland andVrije
Universiteit Amsterdam, Faculty of Earth and Life Sci-
ences, Institute of Ecological Science, Department of
Animal Ecology, De Boelelaan 1085, 1081 HVAmsterdam,
The Netherlands
Wim H. van der Putten, Netherlands Institute for Ecology
(NIOO-KNAW), Centrefor Terrestrial Ecology, P.O. Box 40,
6666 ZG Heteren, The Netherlands and Laboratory of
Nematology, Wageningen University and Research Centre,
PO Box 8123, 6700 ES Wageningen, The Netherlands
David A. Wardle, Department of Forest Ecology
and Management, Swedish University of Agricultural
Sciences, SE901-83 Umea
˚, Sweden
Alexandra Weigelt, Institute of Ecology, University
of Jena, Dornburgerstr. 159, 07743 Jena, Germany;
alexandra. weigelt@uni-jena.de.
Justin Wright, Department of Biology, Box 90338, Duke
University, Durham, NC 27708, USA; jw67@duke.edu
Anastasios Xepapadeas, University of Economics and
Business Department of International and European
Economic Studies 76 Patission Street, 104 34 Athens,
Greece; xepapad@aueb.gr
xCONTRIBUTORS
Preface
This volume serves as an introduction, reference, and
survey both of the profound transformation experi-
enced in the last decade by ecology’s fast-growing
field of biodiversity and ecosystem functioning and
of the economics of ecosystem services. Motivated in
the early 1990s by environmental concerns over
worldwide declines in biodiversity, the biodiversity
and ecosystem functioning research area originated
as a synthesis of the relatively disparate fields of
community and ecosystem ecology. Neither disci-
pline by itself could adequately describe the wide
array of possible ecological consequences of biodi-
versity loss (Loreau et al. 2001, Naeem et al. 2002,
Hooper et al. 2005). The first generation of research on
biodiversity and ecosystem functioningrapidly grew
into a discipline that can be characterized by several
features (Loreau et al. 2002). First, species or func-
tional group richness was the primary way of oper-
ationally defining and manipulating biodiversity.
Second, many studies often worked within a single
trophic level (usually plants), though microcosm and
mesocosm studies using microbes and invertebrates
proved exceptions. Third, research efforts considered
only biogeochemical processes, especially primary
productivity, as ecosystem functions. Fourth, the
prevailing mechanisms were limited to niche com-
plementarity (i.e. niche differences lead to greater
exploitation of available resources that lead to greater
levels of ecosystem functioning) and selection effects
(i.e. higher diversity communities invariably contain
one or a few dominant species with disproportionate
influences over ecosystem function) that were often
viewed as opposing hypotheses vying for suprem-
acy. Fifth, local extinction or biodiversity loss was
largely considered a random process and experi-
ments focused on producing as many randomly
constructed species combinations as possible to
explore how biodiversity loss influenced ecosystem
functioning. Sixth, the research was largely experi-
mental, complex, abstract, and confirmatory in
nature (i.e. simply confirming that changes in biodi-
versity did indeed change ecosystem functioning).
Finally, work on biodiversity and ecosystem func-
tioning was colored by a tremendous debate over
interpretation of its findings.
Over the last few years, however, biodiversity
and ecosystem functioning research has evolved
dramatically. This volume provides a thorough
review of the new face presented by the second
generation of biodiversity and ecosystem function-
ing research. Its 21 chapters are written by more than
60 authors who have been at the forefront of this
transition. Virtually everything that characterized
the first generation of biodiversity and ecosystem
functioning research has changed. First, rather than
species or functional group richness, the new focus is
on trait-based, functional biodiversity, as well as on
community composition. Second, biodiversity and
ecosystem functioning studies are increasingly
multi-trophic and span both terrestrial and marine
ecosystems in comparison to the dominance of ter-
restrial plant studies that typified earlier biodiversity
and ecosystem functioning work. Third, trait-based
mechanisms of ecosystem functioning have become a
major thrust for contemporary biodiversity and
ecosystem functioning research, while niche com-
plementarity and selection effects are considered to
be co-occurring (not conflicting) mechanisms.
Fourth, rather than assuming random local extinc-
tions, much new work on biodiversity and ecosystem
functioning employs trait-based extinction probabil-
ities or increasingly uses empirical extinction sce-
narios to establish its biodiversity gradients. Fifth,
compared to the more abstract deliberations of the
first generation of biodiversity and ecosystem func-
tioning research, there is now much more attention to
xi
the role of biodiversity and ecosystem functioning in
restoration ecology, agriculture, invasions, disease,
pollination, climate change, and other ecosystem-
service-related environmental issues. Finally, con-
sensus has been achieved (Loreau et al. 2001, Hooper
et al. 2005) and the debate that once clouded the
interpretation of biodiversity and ecosystem func-
tioning findings has largely abated.
There are also entirely new features of the
second generation of biodiversity and ecosystem
functioning research as well. Enough studies have
now accumulated to allow meta-analyses, which
obviate the sometimes subjective interpretation of
trends in biodiversity and ecosystem functioning
experiments expressed during the earlier conten-
tious period. Second, in silico, trait-based simula-
tion modeling of biodiversity and ecosystem
functioning relationships at larger scales has aug-
mented the complex and costly combinatorial
experimental approach and represents an entirely
new and promising method for large-scale biodi-
versity and ecosystem functioning research. Third,
metacommunity theory applied to biodiversity and
ecosystem functioning provides additional under-
standing of ecosystem complexity and stability.
Beyond the basic science of biodiversity and
ecosystem functioning, this volume also explores
the current state of the economics of biodiversity
and ecosystem services. With antecedents in both
natural resource and ecological economics, this
field of economics incorporates insights from
ecology to build an understanding of the ways in
which biodiversity and ecosystem functioning
contribute to human wellbeing. The field received
a major stimulus from the Millennium Ecosystem
Assessment’s (2005b) focus on ecosystem services
the benefits that people derive from the processes
and functioning of both ‘natural’ and ‘managed’
ecosystems. By conceptualizing ecosystem pro-
cesses and functioning as factors in the production
of ecosystem services that directly or indirectly
benefit people, the Millennium Ecosystem Assess-
ment has brought many ecological questions
within the realm of economics. For example, it has
made it natural to analyze the trade-offs (in terms
of ecosystem services) of alternative ecological
configurations. At the same time it has com-
pelled economists to pay serious attention to the
ecological stocks and flows that underpin the
production of many ecosystem services. This
volume explains and expands upon the ways in
which the new face of biodiversity and ecosystem
functioning research is interfacing with research
into the decisions that people make about how to
use the resources of the environment.
The contents of this volume
In 2000, the National Science Foundation (NSF) fun-
ded a Research Coordinating Network (RCN) enti-
tled ‘Biotic Mechanisms of Ecosystem Regulation in
the Global Environment’ (BioMERGE) to foster col-
laboration and usher biodiversity and ecosystem
functioning research through its maturation phase
(Naeem et al. 2007). The relationship between biodi-
versity and ecosystem functioning is also the central
theme of the ecoSERVICES core project of DIVER-
SITAS (http://www.diversitas-international.org/),
an international programme that promotes biodi-
versity science and aims to bridge the science and
policy interface. This volume is the final product of a
five-year collaboration between BioMERGE and
DIVERSITAS.
The volume is divided into four sections. The
first section, Introduction, Background, and Meta-
Analyses, provides the background for the volume.
The editors provide the background, historical
context, and an overview of the volume’s content
in Chapter 1, followed by a meta-analysis by
Schmid et al. (Chapter 2) that quantitatively tests
several biodiversity and ecosystem functioning
hypotheses using the enormous body of published
experimental studies. The last chapter in this sec-
tion is an historical and quantitative analysis of the
impact of biodiversity and ecosystem functioning
research by Solan et al. (Chapter 3) that quantita-
tively tests several biodiversity and ecosystem
functioning hypotheses using the enormous body
of published experimental studies.
The second section, Natural Science Foundations,
consists of seven chapters. In Chapter 4, Petchey et al.
describe one of the major contributions of biodiver-
sity and ecosystem functioning research to ecology:
an increasing emphasis on functional diversity.
Petchey et al. illustrate both the advantages and
challenges of focusing on functional diversity by
xii PREFACE
reviewing how authors have attempted to quantify
functional diversity. Duffy et al. (Chapter 5),
consider how functional diversity has transformed
biodiversity and ecosystem functioning research
from a largely confirmatory science to one that is
increasingly predictive.
The remaining chapters of the second section
address universal challenges for all of ecology, in
the context of biodiversity and ecosystem func-
tioning. These are stability and complexity (Chap-
ter 6 by Griffin et al.), identifying the mechanisms
generating ecological relationships (Chapter 7 by
Hector et al.), the importance of trophic structure
(Chapter 8 by Cardinale et al.), microbial ecology
(Chapter 9 by Bell et al.), and the importance of the
spatial dimension and metacommunities in deter-
mining the effects of diversity on ecosystem func-
tioning (Chapter 10 by Gonzalez et al.).
The third section takes research on biodiversity
and ecosystem functioning further than it has ever
gone into the human dimension. The first six
chapters cover the most pressing environmental
challenges humanity faces. Notably, these chapters
also highlight a new emphasis on ecosystem ser-
vices that go beyond the historic focus on primary
productivity.
´az et al. consider the effects of bio-
diversity on the carbon cycle (Chapter 11) as a way
to shed light on anthropogenic climate change that
has been largely devoid of considerations of biodi-
versity. Wright et al. consider the role that diversity
may play in fostering the restoration of degraded or
abandoned habitats (Chapter 12). Jackson et al.
(Chapter 13) consider the importance of biodiversity
in the agricultural ecosystems that now cover one
third of Earth’s terrestrial surfaces, and focus on
biological control as a case study. Klein et al.
(Chapter 14) discuss the critical ecosystem service of
pollination, which is equally important for many
crops as well as unmanaged or restored systems.
The mitigation of disease (Chapter 15 by Ostfeld et
al.) and biological invasions (Chapter 16 by Engel-
hardt et al.) are two other biotic ecosystem services
that are strongly influenced by biodiversity.
What truly makes this volume unique are the
chapters of Section 3, which consider the eco-
nomic perspective. Perrings et al. (Chapter 17)
provide a synthesis of the economics of ecosystem
services and biodiversity, and the options open to
policy-makers to address the failure of markets
to account for the loss of ecosystem services.
Barbier et al. (Chapter 18) examine the challenges
of valuing ecosystem services and, hence, to
understanding the human consequences of deci-
sions that neglect these services. Brock et al.
(Chapter 19) examine the ways in which econo-
mists are currently incorporating biodiversity and
ecosystem functioning research into decision
models for the conservation and management of
biodiversity.
The fourth and final section consists of two
chapters, one describing the new, ambitious
direction of biodiversity and ecosystem function-
ing research to become a global science (Chapter
20) and a synthesis of this volume (Chapter 21) by
the editors that describes the nature of the progress
made thus far and the future directions and chal-
lenges that have been covered by the many authors
of this volume.
PREFACE xiii
Acknowledgments
This volume is the summation of five years of coop-
eration among biodiversity and ecosystem function-
ing researchers and environmental economists
fostered through joint meetings between BioMERGE
and BESTNet (NSF-funded Research Coordination
Networks) and the ecoSERVICES project of DIVER-
SITAS. This collaboration was founded on the prin-
ciples of inclusiveness (i.e. including participants
irrespective of their position on the issues), attention
to balance across the various stages in scientific
careers (i.e. include graduate students, postdoctoral
researchers, junior and senior faculty), and gender
balance.
Justin Wright, the first associate director of
BioMERGE, coordinated meetings in Seattle (2002)
and the Missouri Botanical Garden (2003). Daniel
Bunker, the second associate director of BioMERGE,
and Andy Hector, the then co-chair of DIVERSITAS’
ecoSERVICES core project, coordinated meetings in
Borneo (2005) and Switzerland (2006) with the help
of Chris Philipson, Glen Reynolds, Philipppe Saner,
and Maja Weilenmann. Two ecoSERVICES work-
shops in Paris, coordinated by John Tschirhardt
(2005) and Charles Perrings (2007), laid the
groundwork for the economic chapters included in
the volume.
The bulk of the funding for BioMERGE came
from NSF grants # 0130289 and 0435178 with addi-
tional support from the University of Washington,
Seattle, and Columbia University. Funding for
BESTNet came from NSF grant # 0639252. DIVER-
SITAS contributed both financial and logistical sup-
port to a number of the preparatory workshops, and
in particular supported the participation of non-US
participants. This volume and its contents serves as a
testament to the value of supporting international
cooperation, integration, and synthesis among social
and natural scientists in basic and applied research.
xiv
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