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Animal tracking moves community ecology: Opportunities and challenges

1. Individual decisions regarding how, why and when organisms interact with one another and with their environment scale up to shape patterns and processes in communities. Recent evidence has firmly established the prevalence of intraspecific variation in nature and its relevance in community ecolog...

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Autores principales: Costa‐Pereira, Raul, Moll, Remington J., Jesmer, Brett R., Jetz, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286655/
https://www.ncbi.nlm.nih.gov/pubmed/35388473
http://dx.doi.org/10.1111/1365-2656.13698
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author Costa‐Pereira, Raul
Moll, Remington J.
Jesmer, Brett R.
Jetz, Walter
author_facet Costa‐Pereira, Raul
Moll, Remington J.
Jesmer, Brett R.
Jetz, Walter
author_sort Costa‐Pereira, Raul
collection PubMed
description 1. Individual decisions regarding how, why and when organisms interact with one another and with their environment scale up to shape patterns and processes in communities. Recent evidence has firmly established the prevalence of intraspecific variation in nature and its relevance in community ecology, yet challenges associated with collecting data on large numbers of individual conspecifics and heterospecifics have hampered integration of individual variation into community ecology. 2. Nevertheless, recent technological and statistical advances in GPS‐tracking, remote sensing and behavioural ecology offer a toolbox for integrating intraspecific variation into community processes. More than simply describing where organisms go, movement data provide unique information about interactions and environmental associations from which a true individual‐to‐community framework can be built. 3. By linking the movement paths of both conspecifics and heterospecifics with environmental data, ecologists can now simultaneously quantify intraspecific and interspecific variation regarding the Eltonian (biotic interactions) and Grinnellian (environmental conditions) factors underpinning community assemblage and dynamics, yet substantial logistical and analytical challenges must be addressed for these approaches to realize their full potential. 4. Across communities, empirical integration of Eltonian and Grinnellian factors can support conservation applications and reveal metacommunity dynamics via tracking‐based dispersal data. As the logistical and analytical challenges associated with multi‐species tracking are surmounted, we envision a future where individual movements and their ecological and environmental signatures will bring resolution to many enduring issues in community ecology.
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spelling pubmed-102866552023-06-23 Animal tracking moves community ecology: Opportunities and challenges Costa‐Pereira, Raul Moll, Remington J. Jesmer, Brett R. Jetz, Walter J Anim Ecol Concept 1. Individual decisions regarding how, why and when organisms interact with one another and with their environment scale up to shape patterns and processes in communities. Recent evidence has firmly established the prevalence of intraspecific variation in nature and its relevance in community ecology, yet challenges associated with collecting data on large numbers of individual conspecifics and heterospecifics have hampered integration of individual variation into community ecology. 2. Nevertheless, recent technological and statistical advances in GPS‐tracking, remote sensing and behavioural ecology offer a toolbox for integrating intraspecific variation into community processes. More than simply describing where organisms go, movement data provide unique information about interactions and environmental associations from which a true individual‐to‐community framework can be built. 3. By linking the movement paths of both conspecifics and heterospecifics with environmental data, ecologists can now simultaneously quantify intraspecific and interspecific variation regarding the Eltonian (biotic interactions) and Grinnellian (environmental conditions) factors underpinning community assemblage and dynamics, yet substantial logistical and analytical challenges must be addressed for these approaches to realize their full potential. 4. Across communities, empirical integration of Eltonian and Grinnellian factors can support conservation applications and reveal metacommunity dynamics via tracking‐based dispersal data. As the logistical and analytical challenges associated with multi‐species tracking are surmounted, we envision a future where individual movements and their ecological and environmental signatures will bring resolution to many enduring issues in community ecology. John Wiley and Sons Inc. 2022-04-18 2022-07 /pmc/articles/PMC10286655/ /pubmed/35388473 http://dx.doi.org/10.1111/1365-2656.13698 Text en © 2022 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. 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 Concept
Costa‐Pereira, Raul
Moll, Remington J.
Jesmer, Brett R.
Jetz, Walter
Animal tracking moves community ecology: Opportunities and challenges
title Animal tracking moves community ecology: Opportunities and challenges
title_full Animal tracking moves community ecology: Opportunities and challenges
title_fullStr Animal tracking moves community ecology: Opportunities and challenges
title_full_unstemmed Animal tracking moves community ecology: Opportunities and challenges
title_short Animal tracking moves community ecology: Opportunities and challenges
title_sort animal tracking moves community ecology: opportunities and challenges
topic Concept
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286655/
https://www.ncbi.nlm.nih.gov/pubmed/35388473
http://dx.doi.org/10.1111/1365-2656.13698
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