A road map for integrating eco‐evolutionary processes into biodiversity models
Identifieur interne : 004B23 ( Main/Exploration ); précédent : 004B22; suivant : 004B24A road map for integrating eco‐evolutionary processes into biodiversity models
Auteurs : Wilfried Thuiller [France] ; Tamara Münkemüller [France] ; Sébastien Lavergne [France] ; David Mouillot [France, Australie] ; Nicolas Mouquet [France] ; Katja Schiffers [France] ; Dominique Gravel [Canada]Source :
- Ecology Letters [ 1461-023X ] ; 2013-05.
Descripteurs français
- Wicri :
English descriptors
- KwdEn :
- Abiotic, Abiotic constraints, Abiotic environment, Abiotic niche, Abiotic space, Adaptive, Adaptive evolution, Aedes aegypti, Basic appl, Better understanding, Biodiversity, Biodiversity modelling, Biodiversity models, Biol, Biophysical models, Biotic, Biotic interactions, Body size, Boulangeat, Cambridge university press, Challenge others, Chase leibold, Climate change, Colonisation, Colonisation probability, Colonisation rate, Community ecology, Community interactions, Community structure, Conceptual basis, Constraint, Critical questions, Current limitations, Current state, Data availability, Demographic rates, Desiccation resistance, Dispersal, Dispersal limitation, Dynamics, Ecol, Ecological, Ecological dynamics, Ecological niches, Ecology, Ecology letters, Ecosystem, Empirical data, Empirical validation, Environmental change, Environmental changes, Environmental conditions, Environmental gradient, Environmental gradients, Environmental heterogeneity, European beech, Evol, Evolutionary, Evolutionary adaptation, Evolutionary change, Evolutionary dynamics, Evolutionary ecology, Evolutionary rescue, Extinction, Extinction rate, Fagus sylvatica, Functional traits, Fundamental niche, Fundamental processes, Genetic correlations, Grid cell, Guisan thuiller, Habitat quality, Hanski, Holt, Holt keitt, Incidence function, Interaction, Interaction networks, John wiley sons, John wiley sons idea, Kearney, Landscape ecology, Last prey, Lavergne, Leibold, Lett, Limited number, Local adaptation, Main processes, Maximum body weight, Metabolic theory, Metapopulation, Metapopulation approach, Metapopulation ecology, Metapopulation theory, Modelling, Modelling framework, Modelling frameworks, More details, More realism, Mouquet, Multiple processes, Natl acad, Natural selection, Negative interactions, Next challenge, Niche, Niche theory, Noble slatyer, Novel research, Other formulations, Oxford university press, Pairwise interactions, Phenotypic, Phenotypic plasticity, Phenotypic traits, Physiological constraints, Place eugene bataillon, Plant interactions, Population dynamics, Population growth rate, Population rescue, Positive interactions, Princeton university press, Radiations topography, Range dynamics, Range limits, Range shifts, Rapid evolution, Rare dispersal events, Reliable projections, Sdms, Several processes, Simulation, Soberon nakamura, Spatial distribution, Species distribution, Species distribution model, Species distributions, Species range dynamics, Species ranges, Species richness, Stable range edges, Thuiller, Traditional sdms, Trait, Trait variation, Trends ecol, Trophic, Trophic interactions, Trophic metacommunities, Vegetation dynamics.
- Teeft :
- Abiotic, Abiotic constraints, Abiotic environment, Abiotic niche, Abiotic space, Adaptive, Adaptive evolution, Aedes aegypti, Basic appl, Better understanding, Biodiversity, Biodiversity modelling, Biodiversity models, Biol, Biophysical models, Biotic, Biotic interactions, Body size, Boulangeat, Cambridge university press, Challenge others, Chase leibold, Climate change, Colonisation, Colonisation probability, Colonisation rate, Community ecology, Community interactions, Community structure, Conceptual basis, Constraint, Critical questions, Current limitations, Current state, Data availability, Demographic rates, Desiccation resistance, Dispersal, Dispersal limitation, Dynamics, Ecol, Ecological, Ecological dynamics, Ecological niches, Ecology, Ecology letters, Ecosystem, Empirical data, Empirical validation, Environmental change, Environmental changes, Environmental conditions, Environmental gradient, Environmental gradients, Environmental heterogeneity, European beech, Evol, Evolutionary, Evolutionary adaptation, Evolutionary change, Evolutionary dynamics, Evolutionary ecology, Evolutionary rescue, Extinction, Extinction rate, Fagus sylvatica, Functional traits, Fundamental niche, Fundamental processes, Genetic correlations, Grid cell, Guisan thuiller, Habitat quality, Hanski, Holt, Holt keitt, Incidence function, Interaction, Interaction networks, John wiley sons, John wiley sons idea, Kearney, Landscape ecology, Last prey, Lavergne, Leibold, Lett, Limited number, Local adaptation, Main processes, Maximum body weight, Metabolic theory, Metapopulation, Metapopulation approach, Metapopulation ecology, Metapopulation theory, Modelling, Modelling framework, Modelling frameworks, More details, More realism, Mouquet, Multiple processes, Natl acad, Natural selection, Negative interactions, Next challenge, Niche, Niche theory, Noble slatyer, Novel research, Other formulations, Oxford university press, Pairwise interactions, Phenotypic, Phenotypic plasticity, Phenotypic traits, Physiological constraints, Place eugene bataillon, Plant interactions, Population dynamics, Population growth rate, Population rescue, Positive interactions, Princeton university press, Radiations topography, Range dynamics, Range limits, Range shifts, Rapid evolution, Rare dispersal events, Reliable projections, Sdms, Several processes, Simulation, Soberon nakamura, Spatial distribution, Species distribution, Species distribution model, Species distributions, Species range dynamics, Species ranges, Species richness, Stable range edges, Thuiller, Traditional sdms, Trait, Trait variation, Trends ecol, Trophic, Trophic interactions, Trophic metacommunities, Vegetation dynamics.
Abstract
The demand for projections of the future distribution of biodiversity has triggered an upsurge in modelling at the crossroads between ecology and evolution. Despite the enthusiasm around these so‐called biodiversity models, most approaches are still criticised for not integrating key processes known to shape species ranges and community structure. Developing an integrative modelling framework for biodiversity distribution promises to improve the reliability of predictions and to give a better understanding of the eco‐evolutionary dynamics of species and communities under changing environments. In this article, we briefly review some eco‐evolutionary processes and interplays among them, which are essential to provide reliable projections of species distributions and community structure. We identify gaps in theory, quantitative knowledge and data availability hampering the development of an integrated modelling framework. We argue that model development relying on a strong theoretical foundation is essential to inspire new models, manage complexity and maintain tractability. We support our argument with an example of a novel integrated model for species distribution modelling, derived from metapopulation theory, which accounts for abiotic constraints, dispersal, biotic interactions and evolution under changing environmental conditions. We hope such a perspective will motivate exciting and novel research, and challenge others to improve on our proposed approach.
Url:
- https://api.istex.fr/document/199844B94ECF71A3F72D8BC592FBB2BCA9ADB43F/fulltext/pdf
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790307
DOI: 10.1111/ele.12104
Affiliations:
- Australie, Canada, France
- Auvergne-Rhône-Alpes, Languedoc-Roussillon, Occitanie (région administrative), Rhône-Alpes
- Grenoble, Montpellier
- Université Montpellier 2
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<term>Adaptive</term>
<term>Adaptive evolution</term>
<term>Aedes aegypti</term>
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<term>Better understanding</term>
<term>Biodiversity</term>
<term>Biodiversity modelling</term>
<term>Biodiversity models</term>
<term>Biol</term>
<term>Biophysical models</term>
<term>Biotic</term>
<term>Biotic interactions</term>
<term>Body size</term>
<term>Boulangeat</term>
<term>Cambridge university press</term>
<term>Challenge others</term>
<term>Chase leibold</term>
<term>Climate change</term>
<term>Colonisation</term>
<term>Colonisation probability</term>
<term>Colonisation rate</term>
<term>Community ecology</term>
<term>Community interactions</term>
<term>Community structure</term>
<term>Conceptual basis</term>
<term>Constraint</term>
<term>Critical questions</term>
<term>Current limitations</term>
<term>Current state</term>
<term>Data availability</term>
<term>Demographic rates</term>
<term>Desiccation resistance</term>
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<term>Dispersal limitation</term>
<term>Dynamics</term>
<term>Ecol</term>
<term>Ecological</term>
<term>Ecological dynamics</term>
<term>Ecological niches</term>
<term>Ecology</term>
<term>Ecology letters</term>
<term>Ecosystem</term>
<term>Empirical data</term>
<term>Empirical validation</term>
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<term>Environmental changes</term>
<term>Environmental conditions</term>
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<term>Evolutionary ecology</term>
<term>Evolutionary rescue</term>
<term>Extinction</term>
<term>Extinction rate</term>
<term>Fagus sylvatica</term>
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<term>Guisan thuiller</term>
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<term>John wiley sons</term>
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<term>Noble slatyer</term>
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<term>Pairwise interactions</term>
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<term>Phenotypic plasticity</term>
<term>Phenotypic traits</term>
<term>Physiological constraints</term>
<term>Place eugene bataillon</term>
<term>Plant interactions</term>
<term>Population dynamics</term>
<term>Population growth rate</term>
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<term>Princeton university press</term>
<term>Radiations topography</term>
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<term>Range limits</term>
<term>Range shifts</term>
<term>Rapid evolution</term>
<term>Rare dispersal events</term>
<term>Reliable projections</term>
<term>Sdms</term>
<term>Several processes</term>
<term>Simulation</term>
<term>Soberon nakamura</term>
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<term>Species distribution</term>
<term>Species distribution model</term>
<term>Species distributions</term>
<term>Species range dynamics</term>
<term>Species ranges</term>
<term>Species richness</term>
<term>Stable range edges</term>
<term>Thuiller</term>
<term>Traditional sdms</term>
<term>Trait</term>
<term>Trait variation</term>
<term>Trends ecol</term>
<term>Trophic</term>
<term>Trophic interactions</term>
<term>Trophic metacommunities</term>
<term>Vegetation dynamics</term>
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<term>Abiotic constraints</term>
<term>Abiotic environment</term>
<term>Abiotic niche</term>
<term>Abiotic space</term>
<term>Adaptive</term>
<term>Adaptive evolution</term>
<term>Aedes aegypti</term>
<term>Basic appl</term>
<term>Better understanding</term>
<term>Biodiversity</term>
<term>Biodiversity modelling</term>
<term>Biodiversity models</term>
<term>Biol</term>
<term>Biophysical models</term>
<term>Biotic</term>
<term>Biotic interactions</term>
<term>Body size</term>
<term>Boulangeat</term>
<term>Cambridge university press</term>
<term>Challenge others</term>
<term>Chase leibold</term>
<term>Climate change</term>
<term>Colonisation</term>
<term>Colonisation probability</term>
<term>Colonisation rate</term>
<term>Community ecology</term>
<term>Community interactions</term>
<term>Community structure</term>
<term>Conceptual basis</term>
<term>Constraint</term>
<term>Critical questions</term>
<term>Current limitations</term>
<term>Current state</term>
<term>Data availability</term>
<term>Demographic rates</term>
<term>Desiccation resistance</term>
<term>Dispersal</term>
<term>Dispersal limitation</term>
<term>Dynamics</term>
<term>Ecol</term>
<term>Ecological</term>
<term>Ecological dynamics</term>
<term>Ecological niches</term>
<term>Ecology</term>
<term>Ecology letters</term>
<term>Ecosystem</term>
<term>Empirical data</term>
<term>Empirical validation</term>
<term>Environmental change</term>
<term>Environmental changes</term>
<term>Environmental conditions</term>
<term>Environmental gradient</term>
<term>Environmental gradients</term>
<term>Environmental heterogeneity</term>
<term>European beech</term>
<term>Evol</term>
<term>Evolutionary</term>
<term>Evolutionary adaptation</term>
<term>Evolutionary change</term>
<term>Evolutionary dynamics</term>
<term>Evolutionary ecology</term>
<term>Evolutionary rescue</term>
<term>Extinction</term>
<term>Extinction rate</term>
<term>Fagus sylvatica</term>
<term>Functional traits</term>
<term>Fundamental niche</term>
<term>Fundamental processes</term>
<term>Genetic correlations</term>
<term>Grid cell</term>
<term>Guisan thuiller</term>
<term>Habitat quality</term>
<term>Hanski</term>
<term>Holt</term>
<term>Holt keitt</term>
<term>Incidence function</term>
<term>Interaction</term>
<term>Interaction networks</term>
<term>John wiley sons</term>
<term>John wiley sons idea</term>
<term>Kearney</term>
<term>Landscape ecology</term>
<term>Last prey</term>
<term>Lavergne</term>
<term>Leibold</term>
<term>Lett</term>
<term>Limited number</term>
<term>Local adaptation</term>
<term>Main processes</term>
<term>Maximum body weight</term>
<term>Metabolic theory</term>
<term>Metapopulation</term>
<term>Metapopulation approach</term>
<term>Metapopulation ecology</term>
<term>Metapopulation theory</term>
<term>Modelling</term>
<term>Modelling framework</term>
<term>Modelling frameworks</term>
<term>More details</term>
<term>More realism</term>
<term>Mouquet</term>
<term>Multiple processes</term>
<term>Natl acad</term>
<term>Natural selection</term>
<term>Negative interactions</term>
<term>Next challenge</term>
<term>Niche</term>
<term>Niche theory</term>
<term>Noble slatyer</term>
<term>Novel research</term>
<term>Other formulations</term>
<term>Oxford university press</term>
<term>Pairwise interactions</term>
<term>Phenotypic</term>
<term>Phenotypic plasticity</term>
<term>Phenotypic traits</term>
<term>Physiological constraints</term>
<term>Place eugene bataillon</term>
<term>Plant interactions</term>
<term>Population dynamics</term>
<term>Population growth rate</term>
<term>Population rescue</term>
<term>Positive interactions</term>
<term>Princeton university press</term>
<term>Radiations topography</term>
<term>Range dynamics</term>
<term>Range limits</term>
<term>Range shifts</term>
<term>Rapid evolution</term>
<term>Rare dispersal events</term>
<term>Reliable projections</term>
<term>Sdms</term>
<term>Several processes</term>
<term>Simulation</term>
<term>Soberon nakamura</term>
<term>Spatial distribution</term>
<term>Species distribution</term>
<term>Species distribution model</term>
<term>Species distributions</term>
<term>Species range dynamics</term>
<term>Species ranges</term>
<term>Species richness</term>
<term>Stable range edges</term>
<term>Thuiller</term>
<term>Traditional sdms</term>
<term>Trait</term>
<term>Trait variation</term>
<term>Trends ecol</term>
<term>Trophic</term>
<term>Trophic interactions</term>
<term>Trophic metacommunities</term>
<term>Vegetation dynamics</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Biodiversité</term>
<term>Changement climatique</term>
<term>écologie</term>
<term>écosystème</term>
<term>Dynamique de la population</term>
<term>Simulation</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract">The demand for projections of the future distribution of biodiversity has triggered an upsurge in modelling at the crossroads between ecology and evolution. Despite the enthusiasm around these so‐called biodiversity models, most approaches are still criticised for not integrating key processes known to shape species ranges and community structure. Developing an integrative modelling framework for biodiversity distribution promises to improve the reliability of predictions and to give a better understanding of the eco‐evolutionary dynamics of species and communities under changing environments. In this article, we briefly review some eco‐evolutionary processes and interplays among them, which are essential to provide reliable projections of species distributions and community structure. We identify gaps in theory, quantitative knowledge and data availability hampering the development of an integrated modelling framework. We argue that model development relying on a strong theoretical foundation is essential to inspire new models, manage complexity and maintain tractability. We support our argument with an example of a novel integrated model for species distribution modelling, derived from metapopulation theory, which accounts for abiotic constraints, dispersal, biotic interactions and evolution under changing environmental conditions. We hope such a perspective will motivate exciting and novel research, and challenge others to improve on our proposed approach.</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>Canada</li>
<li>France</li>
</country>
<region><li>Auvergne-Rhône-Alpes</li>
<li>Languedoc-Roussillon</li>
<li>Occitanie (région administrative)</li>
<li>Rhône-Alpes</li>
</region>
<settlement><li>Grenoble</li>
<li>Montpellier</li>
</settlement>
<orgName><li>Université Montpellier 2</li>
</orgName>
</list>
<tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Thuiller, Wilfried" sort="Thuiller, Wilfried" uniqKey="Thuiller W" first="Wilfried" last="Thuiller">Wilfried Thuiller</name>
</region>
<name sortKey="Lavergne, Sebastien" sort="Lavergne, Sebastien" uniqKey="Lavergne S" first="Sébastien" last="Lavergne">Sébastien Lavergne</name>
<name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name>
<name sortKey="Mouquet, Nicolas" sort="Mouquet, Nicolas" uniqKey="Mouquet N" first="Nicolas" last="Mouquet">Nicolas Mouquet</name>
<name sortKey="Munkemuller, Tamara" sort="Munkemuller, Tamara" uniqKey="Munkemuller T" first="Tamara" last="Münkemüller">Tamara Münkemüller</name>
<name sortKey="Schiffers, Katja" sort="Schiffers, Katja" uniqKey="Schiffers K" first="Katja" last="Schiffers">Katja Schiffers</name>
<name sortKey="Thuiller, Wilfried" sort="Thuiller, Wilfried" uniqKey="Thuiller W" first="Wilfried" last="Thuiller">Wilfried Thuiller</name>
</country>
<country name="Australie"><noRegion><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name>
</noRegion>
</country>
<country name="Canada"><noRegion><name sortKey="Gravel, Dominique" sort="Gravel, Dominique" uniqKey="Gravel D" first="Dominique" last="Gravel">Dominique Gravel</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
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