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Integrating succession and community assembly perspectives

Succession and community assembly research overlap in many respects, such as through their focus on how ecological processes like dispersal, environmental filters, and biotic interactions influence community structure. Indeed, many recent advances have been made by successional studies that draw on...

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Detalles Bibliográficos
Autores principales: Chang, Cynthia, HilleRisLambers, Janneke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5022705/
https://www.ncbi.nlm.nih.gov/pubmed/27785355
http://dx.doi.org/10.12688/f1000research.8973.1
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author Chang, Cynthia
HilleRisLambers, Janneke
author_facet Chang, Cynthia
HilleRisLambers, Janneke
author_sort Chang, Cynthia
collection PubMed
description Succession and community assembly research overlap in many respects, such as through their focus on how ecological processes like dispersal, environmental filters, and biotic interactions influence community structure. Indeed, many recent advances have been made by successional studies that draw on modern analytical techniques introduced by contemporary community assembly studies. However, community assembly studies generally lack a temporal perspective, both on how the forces structuring communities might change over time and on how historical contingency (e.g. priority effects and legacy effects) and complex transitions (e.g. threshold effects) might alter community trajectories. We believe a full understanding of the complex interacting processes that shape community dynamics across large temporal scales can best be achieved by combining concepts, tools, and study systems into an integrated conceptual framework that draws upon both succession and community assembly theory.
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spelling pubmed-50227052016-10-25 Integrating succession and community assembly perspectives Chang, Cynthia HilleRisLambers, Janneke F1000Res Review Succession and community assembly research overlap in many respects, such as through their focus on how ecological processes like dispersal, environmental filters, and biotic interactions influence community structure. Indeed, many recent advances have been made by successional studies that draw on modern analytical techniques introduced by contemporary community assembly studies. However, community assembly studies generally lack a temporal perspective, both on how the forces structuring communities might change over time and on how historical contingency (e.g. priority effects and legacy effects) and complex transitions (e.g. threshold effects) might alter community trajectories. We believe a full understanding of the complex interacting processes that shape community dynamics across large temporal scales can best be achieved by combining concepts, tools, and study systems into an integrated conceptual framework that draws upon both succession and community assembly theory. F1000Research 2016-09-12 /pmc/articles/PMC5022705/ /pubmed/27785355 http://dx.doi.org/10.12688/f1000research.8973.1 Text en Copyright: © 2016 Chang C and HilleRisLambers J http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Chang, Cynthia
HilleRisLambers, Janneke
Integrating succession and community assembly perspectives
title Integrating succession and community assembly perspectives
title_full Integrating succession and community assembly perspectives
title_fullStr Integrating succession and community assembly perspectives
title_full_unstemmed Integrating succession and community assembly perspectives
title_short Integrating succession and community assembly perspectives
title_sort integrating succession and community assembly perspectives
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5022705/
https://www.ncbi.nlm.nih.gov/pubmed/27785355
http://dx.doi.org/10.12688/f1000research.8973.1
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