ArticlePDF Available

Ecology: Larger islands house more bacterial taxa

Authors:
  • Oxford Molecular Biosensors

Abstract

The power law that describes the relationship between species richness and area size is one of the few generalizations in ecology, but recent studies show that this relationship differs for microbes. We demonstrate that the natural bacterial communities inhabiting small aquatic islands (treeholes) do indeed follow the species-area law. The result requires a re-evaluation of the current understanding of how natural microbial communities operate and implies that analogous processes structure both microbial communities and communities of larger organisms.
Larger Islands House More
Bacterial Taxa
Thomas Bell,
1,3
Duane Ager,
2
Ji-Inn Song,
2,4
Jonathan A. Newman,
3
*
Ian P. Thompson,
2
Andrew K. Lilley,
1
Christopher J. van der Gast
2
.
The relationship between species richness and area
size is one of the few generalizations in ecology,
but recent studies show that the slope of the
relationship differs for microbes (1, 2). Here we
show that the slope of the taxa-area relationship
for natural bacterial communities inhabiting small
aquatic islands is comparable to that found for
larger organisms. The result implies that analo-
gous processes structure both microbial commu-
nities and communities of larger organisms.
Several mechanisms explain how the number
of taxa can increase with the size of the area. The
number of taxa in a particular area results from the
balance between the colonization of new taxa and
the extinction of extant taxa. The size of the area
influences the rate of colonization and extinction
and so indirectly influences biodiversity. Alterna-
tively, if taxa are adapted to a particular habitat,
then larger areas likely contain more habitats and
therefore more species. Finally, a taxa-area re-
lationship will appear if more effort is devoted to
sampling larger areas, because the number of taxa
discovered increases with sampling effort (3). The
relationship between diversity and island or
sampling area size is well described by the
equation S 0 cA
z
,whereS is the number of
species, c is an empirically derived taxon- and
location-specific constant, A is the size of the
area, and z is the slope of the line. The value for
z is generally consistent across taxa but differs
between islands (z È 0.3) and areas of con-
tiguous habitat (z È 0.1) (3).
Recent work has suggested that, although there
appears to be a similar relationship between
microbial diversity and area, the slope z for
microbial taxa (z È 0.02 to 0.07) falls well
below that observed for taxonomic groups of
larger organisms (1, 2, 4). Many microbial taxa
appear to be ubiquitous (5), so increasing the area
of a survey results in only a marginal increase in
the species richness of the sample. However,
these studies have investigated the taxa-area re-
lationship only within single contiguous habitats,
where it is plausible that constant colonization
from adjacent areas rapidly homogenizes the
community. The slope of the species-area re-
lationship is expected to be steeper on discrete
islands, partly because they present a partial barrier
to colonization. We predicted that the slope of
species-area relationship for insular bacterial
communities would be similar to that found for
communities of larger organisms.
The Bislands[ that we used are water-filled
treeholes, a common feature of temperate and
tropical forests. Rainwater accumulates in bark-
lined pans formed by the buttressing at the base
of large European beech trees (Fagus sylvatica)
to form small but often permanent bodies of
water. Each of these islands houses a micro-
ecosystem that derives its nutrients and energy
from leaf litter. We measured the water vol-
ume (island size) and the bacterial genetic
diversity (taxon richness) in 29 treehole
islands, using denaturing gradient gel electro-
phoresis (DGGE) (6), a standard molecular
technique in microbial ecology.
Bacterial genetic diversity in this system
increased with increasing island size according
to the familiar species-area power law (Fig.
1A). The slope z of the relationship (z 0 0.26)
is indistinguishable from published values for
larger organisms (Fig. 1B). The data show that
area size strongly influences the diversity of
these microbial communities.
These results have implications for under-
standing how microbial communities operate and
complement recent studies (1, 2) by indicating
the conditions under which high microbial z
values can occur. In relatively large areas of con-
tiguous habitat, the slope of the species-area
relationship appears to be reduced (Fig. 1B). Such
communities might never approach equilibrium,
because environmental conditions change faster
than competitively inferior species become ex-
tinct. We suggest that treeholes and similar
habitat patches are islands of relative stability
where microbial communities can approach
equilibrium. Under such conditions, the patterns
of abundance and diversity of microbial commu-
nities would be similar to those found for larger
organisms. It is possible that other mechanisms
underlie the difference between our result and
those of other microbial studies. Perhaps, for ex-
ample, the treehole habitat is more heterogeneous,
so diversity increases more rapidly with area size.
What is evident is that, as for larger organisms,
comparatively steep microbial taxa-area relation-
ships are possible.
References and Notes
1. J. L. Green et al., Nature 432, 747 (2004).
2. M. C. Horner-Devine, M. Lage, J. B. Hughes, B. J. M.
Bohannan, Nature 432, 750 (2004).
3. M. L. Rosenzweig, Species Diversity in Space and Time
(Cambridge Univ. Press, Cambridge, 1995).
4. B. J. Finlay, Science 296, 1061 (2002).
5. B. J. Finlay, K. J. Clarke, Nature 400, 828 (1999).
6. Materials and methods are available as supporting
material on Science Online.
7. A. Azovsky, Ecography 25, 273 (2002).
8. Supported by the NERC Centre for Ecology and Hy-
drology. T.B. is supported by the Natural Sciences and
Engineering Research Council of Canada, the Formation
Chercheurs et Aide Recherche and the Clarendon Fund.
Supporting Online Material
www.sciencemag.org/cgi/content/full/308/5730/1884/
DC1
Materials and Methods
References and Notes
22 February 2005; accepted 7 April 2005
10.1126/science.1111318
BREVIA
1
Molecular Microbial Ecology Section,
2
Environmental
Biotechnology Section, Natural Environment Research
Council (NERC) Centre for Ecology and Hydrology,
Mansfield Road, Oxford, OX1 3SR, UK.
3
Department of
Zoology, University of Oxford, South Parks Road, Oxford,
OX1 3PS, UK.
4
Department of Engineering Science, Uni-
versity of Oxford, Parks Road, Oxford, OX1 3PJ, UK.
*Present address: Department of Environmental Biolo-
gy, University of Guelph, Guelph, Ontario N1G 2W1,
Canada.
.To whom correspondence should be addressed.
E-mail: cjvdg@ceh.ac.uk
0.26
2
10
plants
plants
Fig. 1. The species-area relationship for microbial
communities. (A) Bacterial genetic diversity (the
number of DGGE bands, S) in water-filled tree-
holes increases with increasing island size (vol-
ume, V) according to the power law S 0
2.11V
0.26
. There is a similar linear relationship
(not shown) between island surface area (A,in
cm
2
) and bacterial genetic diversity (S 0
3.30A
0.28
, R
2
0 0.38, P G 0.001). Treehole volume
and surface area are correlated (r 0 0.71). (B)
Slope of the species-area relationship for marine
benthic ciliates and diatoms, salt marsh bacteria,
and fungi inhabiting arid soil compared with
slope from the current study. Black bars are
microbial studies (1, 2, 7); gray bars are typical
values for studies with larger organisms (3).
24 JUNE 2005 VOL 308 SCIENCE www.sciencemag.org
1884
on December 1, 2013www.sciencemag.orgDownloaded from
... A central question in ecology is whether the different types of life in Earth's biosphere follow any universal patterns (Shoemaker et al., 2017). Over the past few decades, owing to the advances in high throughput metagenomic approaches, a general consensus has been reached that microbes follow the same classical spatial scaling patterns as macroorganisms (Martiny et al., 2006), such as taxa-area relationship (TAR) (Bell et al., 2005;Horner-Devine et al., 2004) and distance-decay relationship (DDR) (Bell, 2010;Martiny et al., 2011). Of these, TAR describes the increase in species richness with increasing sampling area (Bell et al., 2005;Horner-Devine et al., 2004), whereas DDR characterizes the decay of similarity in community composition with increasing spatial distance (Nekola and White, 1999). ...
... Over the past few decades, owing to the advances in high throughput metagenomic approaches, a general consensus has been reached that microbes follow the same classical spatial scaling patterns as macroorganisms (Martiny et al., 2006), such as taxa-area relationship (TAR) (Bell et al., 2005;Horner-Devine et al., 2004) and distance-decay relationship (DDR) (Bell, 2010;Martiny et al., 2011). Of these, TAR describes the increase in species richness with increasing sampling area (Bell et al., 2005;Horner-Devine et al., 2004), whereas DDR characterizes the decay of similarity in community composition with increasing spatial distance (Nekola and White, 1999). Although well recognized for both microbes and macroorganisms, many studies have demonstrated that the spatial scaling of microbes is generally weaker than that of macroorganisms (García Martín and Goldenfeld, 2006;Meyer et al., 2018;Peay et al., 2007;Woodcock et al., 2006;Wu et al., 2019). ...
... Notably, the current study was carried out in a local intertidal zone, this was done in consideration for the fact that large-scale environmental heterogeneity may strongly affect microbial communities (Bell et al., 2005;Faust, 2021;Logares et al., 2020) and further overwhelm the effects of microbes on DOM. In the case where a more heterogeneous ecosystem is analyzed, a highly possible scenario one would encounter is that both bacteria and fungi are strongly associated with DOM composition and diversity, as a result of heterogeneity effects on both microbes and DOM. ...
Article
Dissolved organic matter (DOM) in natural ecosystems is intimately associated with microbial communities. However, it remains unclear whether the diversity patterns followed by microbes can be transmitted to DOM compounds. Considering the structural properties of DOM compounds and the roles of microbes in ecosystems, we hypothesized that bacteria tended to be more closely associated with DOM compounds than fungi. To test the above hypothesis and bridge this knowledge gap, the diversity patterns and ecological processes for the DOM compounds, and the bacterial and fungal communities in a mudflat intertidal zone were comparatively investigated. As a result, spatial scaling patterns followed by microbes, including the diversity-area and distance-decay relationships, were also observed for DOM compounds. Lipid-like and aliphatic-like molecules comprised the major DOM compounds associated with environmental factors. Both the alpha- and beta-chemodiversity of DOM compounds were significantly associated with the diversity of bacterial communities, but not fungal communities. Co-occurrence ecological network analysis suggested that DOM compounds were more frequently associated with bacteria than fungi. Further, consistent community assembly patterns were observed for DOM and bacterial communities, but not fungal communities. Integrating multiple lines of evidence, this study demonstrated that bacteria rather than fungi mediated the chemodiversity of DOM in the mudflat intertidal zone. This study elucidates the spatial patterns of complex dissolved organic matter (DOM) pools in the intertidal ecosystem, shedding light on the intricate relationship between DOM compounds and bacterial communities.
... Originally developed in traditional ecology to predict spatial and temporal patterns of animal and plant species richness on oceanic islands [19]. It has subsequently been applied and adapted for the study of microbiota across a diverse range of 'island' types, including water-filled tree-holes [21,22], seawater mesocosms [23], engineering machine sump tanks [24], and wastewater treatment systems [25,26]. Although aspects of the theory have been applied in a cross-sectional context to lung microbiota, e.g., [7,14], to our knowledge it has not been applied to the lung microbiota of individual patients followed through time. ...
... More broadly, this further highlights an inadequacy in traditional models of lung infection and a need to move to therapeutic targeting of the lung microbiota in general [14,16,46]. The lungs can be considered as ecological island habitats that are open to immigration of bacteria from the upper airways, oral cavity, and wider environment, with those same bacteria also subject to elimination and extinction resulting from, for example, mucociliary clearance, host immune responses, and antimicrobial interventions [7,13,21]. To measure turnover, we plotted STRs constructed with an approach that accounts for both immigration and extinction within a microbiota through time (Fig. 2) [22]. ...
Article
Full-text available
Background Chronic infection and consequent airway inflammation are the leading causes of morbidity and early mortality for people living with cystic fibrosis (CF). However, lower airway infections across a range of chronic respiratory diseases, including in CF, do not follow classical ‘one microbe, one disease’ concepts of infection pathogenesis. Instead, they are comprised of diverse and temporally dynamic lung infection microbiota. Consequently, temporal dynamics need to be considered when attempting to associate lung microbiota with changes in disease status. Set within an island biogeography framework, we aimed to determine the ecological patterns and processes of temporal turnover within the lung microbiota of 30 paediatric and adult CF patients prospectively sampled over a 3-year period. Moreover, we aimed to ascertain the contributions of constituent chronic and intermittent colonizers on turnover within the wider microbiota. Results The lung microbiota within individual patients was partitioned into constituent chronic and intermittent colonizing groups using the Leeds criteria and visualised with persistence-abundance relationships. This revealed bacteria chronically infecting a patient were both persistent and common through time, whereas intermittently infecting taxa were infrequent and rare; respectively representing the resident and transient portions of the wider microbiota. It also indicated that the extent of chronic colonization was far greater than could be appreciated with microbiological culture alone. Using species-time relationships to measure temporal turnover and Vellend’s rationalized ecological processes demonstrated turnover in the resident chronic infecting groups was conserved and underpinned principally by the deterministic process of homogenizing dispersal. Conversely, intermittent colonizing groups, representing newly arrived immigrants and transient species, drove turnover in the wider microbiota and were predominately underpinned by the stochastic process of drift. For adult patients, homogenizing dispersal and drift were found to be significantly associated with lung function. Where a greater frequency of homogenizing dispersal was observed with worsening lung function and conversely drift increased with better lung function. Conclusions Our work provides a novel ecological framework for understanding the temporal dynamics of polymicrobial infection in CF that has translational potential to guide and improve therapeutic targeting of lung microbiota in CF and across a range of chronic airway diseases. AWnQWdeG2wJZnAAmwW9_w-Video Abstract
... This is analogous to findings from terrestrial ecology, where plant and animal species richness has been shown to increase with island size [80]. Bacterial community richness has been shown to increase as a power law relationship with habitat size [78,79,[81][82][83][84] and particle size classes from 0.2 to 200 μm throughout marine water columns [72,85]. Our data indicate that this is also the case for particle-attached bacterial communities in the ocean. ...
... The diversity of bacterial communities associated with marine particles, and aggregates in particular, exhibits a relatively steep species-area relationship (slopes of 0.62 in Fig. 3 and 0.4 to 0.6 in Lyons et al. [78]) when compared with larger island environments and larger organisms (e.g. slope of 0.05 to 0.3 in Bell et al. [82]). This further implies that larger particles have higher colonization rates irrespective of encounter rates [86], offering protected microhabitats that would thereby allow more diverse bacterial populations to reach critical density thresholds, as demonstrated by models [8]. ...
Article
Full-text available
Microbial community dynamics on sinking particles control the amount of carbon that reaches the deep ocean and the length of time that carbon is stored, with potentially profound impacts on Earth’s climate. A mechanistic understanding of the controls on sinking particle distributions has been hindered by limited depth- and time-resolved sampling and methods that cannot distinguish individual particles. Here, we analyze microbial communities on nearly 400 individual sinking particles in conjunction with more conventional composite particle samples to determine how particle colonization and community assembly might control carbon sequestration in the deep ocean. We observed community succession with corresponding changes in microbial metabolic potential on the larger sinking particles transporting a significant fraction of carbon to the deep sea. Microbial community richness decreased as particles aged and sank; however, richness increased with particle size and the attenuation of carbon export. This suggests that the theory of island biogeography applies to sinking marine particles. Changes in POC flux attenuation with time and microbial community composition with depth were reproduced in a mechanistic ecosystem model that reflected a range of POC labilities and microbial growth rates. Our results highlight microbial community dynamics and processes on individual sinking particles, the isolation of which is necessary to improve mechanistic models of ocean carbon uptake.
... Researchers have attempted to document the processes that drive island microbial biogeographical patterns across the globe. For instance, island size has been linked with microbial biodiversity (Bell et al. 2005), with larger islands harbouring greater species diversity due to higher colonization rates (Connor and McCoy 1979) and a greater variety of habitats (Williams 1964). Neutral ecological processes such as drift, dispersal limitation and diversification are also thought to have an important impact on the development of island microbial communities due to their isolation from other landmasses (Zhou and Ning 2017). ...
Article
Full-text available
The majority of islands surrounding the Antarctic continent are poorly characterized in terms of microbial macroecology due to their remote locations, geographical isolation and access difficulties. The 2016/2017 Antarctic Circumnavigation Expedition (ACE) provided unprecedented access to a number of these islands. In the present study we use metagenomic methods to investigate the microbial ecology of soil samples recovered from 11 circum‐Antarctic islands as part of ACE, and to investigate the functional potential of their soil microbial communities. Comparisons of the prokaryote and lower eukaryote phylogenetic compositions of the soil communities indicated that the various islands harbored spatially distinct microbiomes with limited overlap. In particular, we identified a high prevalence of lichen‐associated fungal taxa in the soils, suggesting that terrestrial lichens may be one of the key drivers of soil microbial ecology on these islands. Differential abundance and redundancy analyses suggested that these soil microbial communities are also strongly shaped by multiple abiotic factors, including soil pH and average annual temperatures. Most importantly, we demonstrate that the islands sampled in this study can be clustered into three distinct large‐scale biogeographical regions in a conservation context, the sub‐, Maritime and Continental Antarctic, which are distinct in both environmental conditions and microbial ecology, but are consistent with the widely‐used regionalization applied to multicellular Antarctic terrestrial organisms. Functional profiling of the island soil metagenomes from these three broad biogeographical regions also suggested a degree of functional differentiation, reflecting their distinct microbial ecologies. Taken together, these results represent the most extensive characterization of the microbial ecology of Antarctic island soils to date.
... Spatial scale can however be very important for community composition and function. For example, positive relationship between species diversity and area (or volume) is a well-established pattern in macrobes [3] and more recently in microbial communities [4][5][6]. There are a number of reasons for this pattern, including smaller areas having less habitat heterogeneity, less immigration and greater extinction rates [3,7]. ...
Article
Full-text available
Engineered ecosystems span multiple volume scales, from a nano-scale to thousands of cubic metres. Even the largest industrial systems are tested in pilot scale facilities. But does scale affect outcomes? Here we look at comparing different size laboratory anaerobic fermentors to see if and how the volume of the community affects the outcome of community coalescence (combining multiple communities) on community composition and function. Our results show that there is an effect of scale on biogas production. Furthermore, we see a link between community evenness and volume, with smaller scale communities having higher evenness. Despite those differences, the overall patterns of community coalescence are very similar at all scales, with coalescence leading to levels of biogas production comparable with that of the best-performing component community. The increase in biogas with increasing volume plateaus, suggesting there is a volume where productivity stays stable over large volumes. Our findings are reassuring for ecologists studying large ecosystems and industries operating pilot scale facilities, as they support the validity of pilot scale studies in this field.
... communities (Bell, et al. 2005: 1884-, Horner-Devine, et al. 2004. We report a ubiquitous pattern in the diversity of bacterial functional groups. ...
Article
Full-text available
Why are some groups of bacteria more diverse than others? We hypothesise that the metabolic energy available to a bacterial functional group (a biogeochemical group or ‘guild’) has a role in such a group's taxonomic diversity. We tested this hypothesis by looking at the metacommunity diversity of functional groups in multiple biomes. We observed a positive correlation between estimates of a functional group's diversity and their metabolic energy yield. Moreover, the slope of that relationship was similar in all biomes. These findings could imply the existence of a universal mechanism controlling the diversity of all functional groups in all biomes in the same way. We consider a variety of possible explanations from the classical (environmental variation) to the ‘non-Darwinian’ (a drift barrier effect). Unfortunately, these explanations are not mutually exclusive, and a deeper understanding of the ultimate cause(s) of bacterial diversity will require us to determine if, and how, the key parameters in population genetics (effective population size, mutation rate and selective gradients) vary between functional groups and with environmental conditions: this is a difficult task.
... First, does microbial diversity follow the same basic rules as plant and animal biodiversity patterns, or does it follow different rules, limiting species according to different functional constraints? Many studies have found characteristic microbial SAR curves (13). Unfortunately, due to sampling effects and confusion of SAR with distance attenuation, the current microbial SAR research has not yet reached a consensus (14,15). ...
Article
Full-text available
Unlike species-area relationships (SAR) that have been widely reported for plants and animals on Earth, there is no clear understanding of the SARs for microorganisms. In this study, 358 specimens of 10 amphibian host species collected from the rural Chengdu region of SW China were selected as island models for evaluating SAR curve shapes and assessing the skin microbiota from different amphibian species. The results showed that skin microbial diversity, measured using Hill’s number, presented significant differences between hosts, but the difference was insignificant between habitat-specific classifications of hosts. As for microbial SARs, besides the classical power-law (PL) model describing an expected steady increase in microbial diversity as sampled skin area increases, two additional trends were observed: 1) microbial diversity first rises and gradually decreases after reaching a maximum accrual diversity (MaxAD). 2) microbial diversity decreases and starts to rise after reaching the minimum accrual diversity (MinAD). Among the four SAR statistical models compared, it was consistently found that the models that can describe MaxAD were favorably selected in the highest frequency. Models that can describe MinAD and PL model also performed reasonably well. However, PL had the poorest fitting power, implying the necessity of introducing biologically meaningful complex SAR models in microbial diversity research. In conclusion, through multi-host analyses, our study provided compelling evidence that microbial SARs are complex and nonlinear. A variety of ecological mechanisms may be used for explaining these, including, but not limited to, community saturation, small-island effects or sampling heterogeneity.
Preprint
Full-text available
Populations in antagonistic coevolutionary interactions may “run or die”, and their fates are determined by their evolutionary potential. The asymmetry of evolutionary speed between coevolving partners, e.g., resulting from genetic constraints, can be mitigated in larger populations. We hypothesize more frequent extinction driven by antagonistic coevolution when habitat size declines. In bacterium-virus systems, viruses (the consumers) typically suffer an evolutionary disadvantage due to constraints of genetic variation; and this pattern may apply to host-parasite interactions in general. Here in our experiment with the bacterium Pseudomonas fluorescens SBW25 and its lytic phage virus SBW25Φ2, the likelihood of viral extinction was greater in smaller habitats. Among viral populations that did persist, those from small habitats showed lower infectivity and their coevolving bacterial populations had greater densities. Therefore, the impact of habitat size reduction on biodiversity could be exacerbated by coevolutionary processes. Our results also lead to a number of suggestions for biocontrol practices, particularly for evolutionary training of phages.
Article
Full-text available
Despite the explosion of soil metagenomic data, we lack a synthesized understanding of patterns in the distribution and functions of soil microorganisms. These patterns are critical to predictions of soil microbiome responses to climate change and resulting feedbacks that regulate greenhouse gas release from soils. To address this gap, we assay 1,512 manually curated soil metagenomes using complementary annotation databases, read-based taxonomy, and machine learning to extract multidimensional genomic fingerprints of global soil microbiomes. Our objective is to uncover novel biogeographical patterns of soil microbiomes across environmental factors and ecological biomes with high molecular resolution. We reveal shifts in the potential for (i) microbial nutrient acquisition across pH gradients; (ii) stress-, transport-, and redox-based processes across changes in soil bulk density; and (iii) greenhouse gas emissions across biomes. We also use an unsupervised approach to reveal a collection of soils with distinct genomic signatures, characterized by coordinated changes in soil organic carbon, nitrogen, and cation exchange capacity and in bulk density and clay content that may ultimately reflect soil environments with high microbial activity. Genomic fingerprints for these soils highlight the importance of resource scavenging, plant-microbe interactions, fungi, and heterotrophic metabolisms. Across all analyses, we observed phylogenetic coherence in soil microbiomes—more closely related microorganisms tended to move congruently in response to soil factors. Collectively, the genomic fingerprints uncovered here present a basis for global patterns in the microbial mechanisms underlying soil biogeochemistry and help beget tractable microbial reaction networks for incorporation into process-based models of soil carbon and nutrient cycling. IMPORTANCE We address a critical gap in our understanding of soil microorganisms and their functions, which have a profound impact on our environment. We analyzed 1,512 global soils with advanced analytics to create detailed genetic profiles (fingerprints) of soil microbiomes. Our work reveals novel patterns in how microorganisms are distributed across different soil environments. For instance, we discovered shifts in microbial potential to acquire nutrients in relation to soil acidity, as well as changes in stress responses and potential greenhouse gas emissions linked to soil structure. We also identified soils with putative high activity that had unique genomic characteristics surrounding resource acquisition, plant-microbe interactions, and fungal activity. Finally, we observed that closely related microorganisms tend to respond in similar ways to changes in their surroundings. Our work is a significant step toward comprehending the intricate world of soil microorganisms and its role in the global climate.
Article
Full-text available
Thermo-mineral springs are specific ecosystems with extreme environmental conditions that constitute interesting models for studying metacommunity processes. Since these springs can be considered as islands within a terrestrial context, we first aimed to test some predictions of the theory of island biogeography and the distance-decay hypothesis on benthic diatom communities. Then, we aimed to quantify the influence of physical, chemical, climatic and spatial factors on species assemblages. We evaluated the species-area relationship for all springs and for several group of springs classified according to their environmental and hydrochemical composition. The influence of environmental variables on α-diversity was tested. We also investigated whether β-diversity was related to spring isolation or changes in environmental conditions. Finally, we determined the importance of environmental and spatial variables in shaping diatom communities using ordination and variation partitioning. We did not find any species-area relationship whatever the group of springs investigated, and no geographical distance-decay pattern was observed. We found a significant effect of physical and chemical parameters on α-diversity and composition. Thus, diatoms communities of thermo-mineral springs did not seem to be influenced by dispersal processes at the scale of our study but appeared to be patterned by physical and chemical factors.
Article
Full-text available
The abundance of individuals in microbial species is so large that dispersal is rarely (if ever) restricted by geographical barriers. This "ubiquitous" dispersal requires an alternative view of the scale and dynamics of biodiversity at the microbial level, wherein global species number is relatively low and local species richness is always sufficient to drive ecosystem functions.
Article
Full-text available
A positive power-law relationship between the number of species in an area and the size of that area has been observed repeatedly in plant and animal communities. This species-area relationship, thought to be one of the few laws in ecology, is fundamental to our understanding of the distribution of global biodiversity. However, such a relationship has not been reported for bacteria, and little is known regarding the spatial distribution of bacteria, relative to what is known of plants and animals. Here we describe a taxa-area relationship for bacteria over a scale of centimetres to hundreds of metres in salt marsh sediments. We found that bacterial communities located close together were more similar in composition than communities located farther apart, and we used the decay of community similarity with distance to show that bacteria can exhibit a taxa-area relationship. This relationship was driven primarily by environmental heterogeneity rather than geographic distance or plant composition.
Article
Full-text available
Patterns in the spatial distribution of organisms provide important information about mechanisms that regulate the diversity of life and the complexity of ecosystems. Although microorganisms may comprise much of the Earth's biodiversity and have critical roles in biogeochemistry and ecosystem functioning, little is known about their spatial diversification. Here we present quantitative estimates of microbial community turnover at local and regional scales using the largest spatially explicit microbial diversity data set available (> 10(6) sample pairs). Turnover rates were small across large geographical distances, of similar magnitude when measured within distinct habitats, and did not increase going from one vegetation type to another. The taxa-area relationship of these terrestrial microbial eukaryotes was relatively flat (slope z = 0.074) and consistent with those reported in aquatic habitats. This suggests that despite high local diversity, microorganisms may have only moderate regional diversity. We show how turnover patterns can be used to project taxa-area relationships up to whole continents. Taxa dissimilarities across continents and between them would strengthen these projections. Such data do not yet exist, but would be feasible to collect.
Article
Using original and literature data on species richness, I compared the species-area relations for 5 different size classes of the Arctic benthos: macrofauna sensu lato, polychaetes, nematodes, ciliates and diatom algae. The data pool covered a wide range of areas from single samples to the whole seas. Both the slopes and intercepts of the curves depended significantly on the logarithm of the mean body size of the group. The number of small species (ciliates and diatom algae) showed relatively higher local diversity but increased more slowly with the area than the number of larger ones. Thus, both α- and -components of species diversity of the marine benthos were size-dependent. As a consequence, the actual relations between number of species and their physical size are spatially scale-dependent: there are many more species of smaller size classes in any one local community, but at a global scope the situation changes drastically. The possible reasons are discussed, including dispersal efficiency, rates of speciation and size-dependent perception of environmental heterogeneity. Body size is suggested to be the important scaling factor in manifestation of so-called “general ecological laws”.
Article
The biosphere supports astronomical numbers of free-living microorganisms that belong to an indeterminate number of species. One view1, 2, ³ is that the abundance of microorganisms drives their dispersal, making them ubiquitous and resulting in a moderate global richness of species. But ubiquity is hard to demonstrate, not only because active species have a rapid turnover, but also because most species in a habitat at any moment in time are relatively rare or in some cryptic state⁴. Here we use microbes that leave traces of their recent population growth in the form of siliceous scale structures to show that all species in the chrysomonad flagellate genus Paraphysomonas are probably ubiquitous.
Article
Why do larger areas have more species? What makes diversity so high near the equator? Has the number of species grown during the past 600 million years? Does habitat diversity support species diversity, or is it the other way around? What reduces diversity in ecologically productive places? At what scales of space and time do diversity patterns hold? Do the mechanisms that produce them vary with scale? This book examines these questions and many others, by employing both theory and data in the search for answers. Surprisingly, many of the questions have reasonably likely answers. By identifying these, attention can be turned toward life's many, still-unexplained diversity patterns. As evolutionary ecologists race to understand biodiversity before it is too late, this book will help set the agenda for diversity research into the next century.
  • A Azovsky
A. Azovsky, Ecography 25, 273 (2002).
  • M C Horner-Devine
  • M Lage
  • J B Hughes
  • B J M Bohannan
M. C. Horner-Devine, M. Lage, J. B. Hughes, B. J. M. Bohannan, Nature 432, 750 (2004).
  • J L Green
J. L. Green et al., Nature 432, 747 (2004).