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Mechanistic reconciliation of community and invasion ecology

Community and invasion ecology have mostly grown independently. There is substantial overlap in the processes captured by different models in the two fields, and various frameworks have been developed to reduce this redundancy and synthesize information content. Despite broad recognition that commun...

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Autores principales: Latombe, Guillaume, Richardson, David M., McGeoch, Melodie A., Altwegg, Res, Catford, Jane A., Chase, Jonathan M., Courchamp, Franck, Esler, Karen J., Jeschke, Jonathan M., Landi, Pietro, Measey, John, Midgley, Guy F., Minoarivelo, Henintsoa O., Rodger, James G., Hui, Cang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647914/
https://www.ncbi.nlm.nih.gov/pubmed/34938590
http://dx.doi.org/10.1002/ecs2.3359
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author Latombe, Guillaume
Richardson, David M.
McGeoch, Melodie A.
Altwegg, Res
Catford, Jane A.
Chase, Jonathan M.
Courchamp, Franck
Esler, Karen J.
Jeschke, Jonathan M.
Landi, Pietro
Measey, John
Midgley, Guy F.
Minoarivelo, Henintsoa O.
Rodger, James G.
Hui, Cang
author_facet Latombe, Guillaume
Richardson, David M.
McGeoch, Melodie A.
Altwegg, Res
Catford, Jane A.
Chase, Jonathan M.
Courchamp, Franck
Esler, Karen J.
Jeschke, Jonathan M.
Landi, Pietro
Measey, John
Midgley, Guy F.
Minoarivelo, Henintsoa O.
Rodger, James G.
Hui, Cang
author_sort Latombe, Guillaume
collection PubMed
description Community and invasion ecology have mostly grown independently. There is substantial overlap in the processes captured by different models in the two fields, and various frameworks have been developed to reduce this redundancy and synthesize information content. Despite broad recognition that community and invasion ecology are interconnected, a process‐based framework synthesizing models across these two fields is lacking. Here we review 65 representative community and invasion models and propose a common framework articulated around six processes (dispersal, drift, abiotic interactions, within‐guild interactions, cross‐guild interactions, and genetic changes). The framework is designed to synthesize the content of the two fields, provide a general perspective on their development, and enable their comparison. The application of this framework and of a novel method based on network theory reveals some lack of coherence between the two fields, despite some historical similarities. Community ecology models are characterized by combinations of multiple processes, likely reflecting the search for an overarching theory to explain community assembly and structure, drawing predominantly on interaction processes, but also accounting largely for the other processes. In contrast, most models in invasion ecology invoke fewer processes and focus more on interactions between introduced species and their novel biotic and abiotic environment. The historical dominance of interaction processes and their independent developments in the two fields is also reflected in the lower level of coherence for models involving interactions, compared to models involving dispersal, drift, and genetic changes. It appears that community ecology, with a longer history than invasion ecology, has transitioned from the search for single explanations for patterns observed in nature to investigate how processes may interact mechanistically, thereby generating and testing hypotheses. Our framework paves the way for a similar transition in invasion ecology, to better capture the dynamics of multiple alien species introduced in complex communities. Reciprocally, applying insights from invasion to community ecology will help us understand and predict the future of ecological communities in the Anthropocene, in which human activities are weakening species’ natural boundaries. Ultimately, the successful integration of the two fields could advance a predictive ecology that is urgently required in a rapidly changing world.
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spelling pubmed-86479142021-12-20 Mechanistic reconciliation of community and invasion ecology Latombe, Guillaume Richardson, David M. McGeoch, Melodie A. Altwegg, Res Catford, Jane A. Chase, Jonathan M. Courchamp, Franck Esler, Karen J. Jeschke, Jonathan M. Landi, Pietro Measey, John Midgley, Guy F. Minoarivelo, Henintsoa O. Rodger, James G. Hui, Cang Ecosphere Synthesis & Integration Community and invasion ecology have mostly grown independently. There is substantial overlap in the processes captured by different models in the two fields, and various frameworks have been developed to reduce this redundancy and synthesize information content. Despite broad recognition that community and invasion ecology are interconnected, a process‐based framework synthesizing models across these two fields is lacking. Here we review 65 representative community and invasion models and propose a common framework articulated around six processes (dispersal, drift, abiotic interactions, within‐guild interactions, cross‐guild interactions, and genetic changes). The framework is designed to synthesize the content of the two fields, provide a general perspective on their development, and enable their comparison. The application of this framework and of a novel method based on network theory reveals some lack of coherence between the two fields, despite some historical similarities. Community ecology models are characterized by combinations of multiple processes, likely reflecting the search for an overarching theory to explain community assembly and structure, drawing predominantly on interaction processes, but also accounting largely for the other processes. In contrast, most models in invasion ecology invoke fewer processes and focus more on interactions between introduced species and their novel biotic and abiotic environment. The historical dominance of interaction processes and their independent developments in the two fields is also reflected in the lower level of coherence for models involving interactions, compared to models involving dispersal, drift, and genetic changes. It appears that community ecology, with a longer history than invasion ecology, has transitioned from the search for single explanations for patterns observed in nature to investigate how processes may interact mechanistically, thereby generating and testing hypotheses. Our framework paves the way for a similar transition in invasion ecology, to better capture the dynamics of multiple alien species introduced in complex communities. Reciprocally, applying insights from invasion to community ecology will help us understand and predict the future of ecological communities in the Anthropocene, in which human activities are weakening species’ natural boundaries. Ultimately, the successful integration of the two fields could advance a predictive ecology that is urgently required in a rapidly changing world. John Wiley and Sons Inc. 2021-02-10 /pmc/articles/PMC8647914/ /pubmed/34938590 http://dx.doi.org/10.1002/ecs2.3359 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Synthesis & Integration
Latombe, Guillaume
Richardson, David M.
McGeoch, Melodie A.
Altwegg, Res
Catford, Jane A.
Chase, Jonathan M.
Courchamp, Franck
Esler, Karen J.
Jeschke, Jonathan M.
Landi, Pietro
Measey, John
Midgley, Guy F.
Minoarivelo, Henintsoa O.
Rodger, James G.
Hui, Cang
Mechanistic reconciliation of community and invasion ecology
title Mechanistic reconciliation of community and invasion ecology
title_full Mechanistic reconciliation of community and invasion ecology
title_fullStr Mechanistic reconciliation of community and invasion ecology
title_full_unstemmed Mechanistic reconciliation of community and invasion ecology
title_short Mechanistic reconciliation of community and invasion ecology
title_sort mechanistic reconciliation of community and invasion ecology
topic Synthesis & Integration
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647914/
https://www.ncbi.nlm.nih.gov/pubmed/34938590
http://dx.doi.org/10.1002/ecs2.3359
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