Mechanistic reconciliation of community and invasion ecology.

community ecology hypothesis invasion ecology model process theory

Journal

Ecosphere (Washington, D.C)
ISSN: 2150-8925
Titre abrégé: Ecosphere
Pays: United States
ID NLM: 101596096

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 27 08 2020
accepted: 30 08 2020
entrez: 23 12 2021
pubmed: 24 12 2021
medline: 24 12 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34938590
doi: 10.1002/ecs2.3359
pii: ECS23359
pmc: PMC8647914
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e03359

Informations de copyright

© 2021 The Authors.

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Auteurs

Guillaume Latombe (G)

BioInvasions, Global Change Macroecology-Group Department of Botany and Biodiversity Research University Vienna Rennweg 14 Vienna 1030 Austria.
Centre for Invasion Biology Department of Botany and Zoology Stellenbosch University Stellenbosch 7600 South Africa.

David M Richardson (DM)

Centre for Invasion Biology Department of Botany and Zoology Stellenbosch University Stellenbosch 7600 South Africa.

Melodie A McGeoch (MA)

School of Biological Sciences Monash University Clayton Victoria 3800 Australia.

Res Altwegg (R)

Statistics in Ecology, Environment and Conservation Department of Statistical Sciences University of Cape Town Rondebosch 7701 South Africa.

Jane A Catford (JA)

Department of Geography King's College London WC2B 4BG London UK.

Jonathan M Chase (JM)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Deutscherplatz 5e Leipzig Germany.
Department of Computer Sciences Martin Luther University Halle (Saale) Germany.

Franck Courchamp (F)

Université Paris-Saclay Ecologie Systématique et Evolution CNRS AgroParisTech Orsay 91405 France.

Karen J Esler (KJ)

Department of Conservation Ecology & Entomology and Centre for Invasion Biology Stellenbosch University Private Bag x1 Matieland 7602 South Africa.

Jonathan M Jeschke (JM)

Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) Müggelseedamm 310 Berlin 12587 Germany.
Freie Universität Berlin Department of Biology, Chemistry, Pharmacy Institute of Biology Königin-Luise-Str. 1-3 Berlin 14195 Germany.
Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB) Königin-Luise-Str. 2-4 Berlin 14195 Germany.

Pietro Landi (P)

Centre for Invasion Biology Department of Mathematical Sciences Stellenbosch University Stellenbosch 7600 South Africa.

John Measey (J)

Centre for Invasion Biology Department of Botany and Zoology Stellenbosch University Stellenbosch 7600 South Africa.

Guy F Midgley (GF)

Global Change Biology Group Department of Botany and Zoology Stellenbosch University Stellenbosch 7600 South Africa.

Henintsoa O Minoarivelo (HO)

Centre for Invasion Biology Department of Mathematical Sciences Stellenbosch University Stellenbosch 7600 South Africa.

James G Rodger (JG)

Centre for Invasion Biology Department of Mathematical Sciences Stellenbosch University Stellenbosch 7600 South Africa.

Cang Hui (C)

Centre for Invasion Biology Department of Mathematical Sciences Stellenbosch University Stellenbosch 7600 South Africa.
Biodiversity Informatics Unit African Institute for Mathematical Sciences Cape Town 7945 South Africa.

Classifications MeSH