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Using resilience to predict the effects of disturbance

Animal behaviour emerges from a complex interaction between an individual’s needs, life history strategies and the varying local environment. This environment is increasingly disturbed as human activity encroaches on previously unexposed regions. This disturbance can have different effects on indivi...

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Detalles Bibliográficos
Autores principales: Nattrass, Stuart, Lusseau, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857141/
https://www.ncbi.nlm.nih.gov/pubmed/27145918
http://dx.doi.org/10.1038/srep25539
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author Nattrass, Stuart
Lusseau, David
author_facet Nattrass, Stuart
Lusseau, David
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description Animal behaviour emerges from a complex interaction between an individual’s needs, life history strategies and the varying local environment. This environment is increasingly disturbed as human activity encroaches on previously unexposed regions. This disturbance can have different effects on individual animals or populations depending on their behavioural strategies. Here, we examine a means of predicting the resilience of individuals or populations to unanticipated disturbances, and we find that resilience that can be estimated from routinely collected behavioural observations is a good predictor of how rapidly an individual’s expected behaviour is returned to following a perturbation, and correlates strongly with how much population abundance changes following a disturbance.
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spelling pubmed-48571412016-05-19 Using resilience to predict the effects of disturbance Nattrass, Stuart Lusseau, David Sci Rep Article Animal behaviour emerges from a complex interaction between an individual’s needs, life history strategies and the varying local environment. This environment is increasingly disturbed as human activity encroaches on previously unexposed regions. This disturbance can have different effects on individual animals or populations depending on their behavioural strategies. Here, we examine a means of predicting the resilience of individuals or populations to unanticipated disturbances, and we find that resilience that can be estimated from routinely collected behavioural observations is a good predictor of how rapidly an individual’s expected behaviour is returned to following a perturbation, and correlates strongly with how much population abundance changes following a disturbance. Nature Publishing Group 2016-05-05 /pmc/articles/PMC4857141/ /pubmed/27145918 http://dx.doi.org/10.1038/srep25539 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Nattrass, Stuart
Lusseau, David
Using resilience to predict the effects of disturbance
title Using resilience to predict the effects of disturbance
title_full Using resilience to predict the effects of disturbance
title_fullStr Using resilience to predict the effects of disturbance
title_full_unstemmed Using resilience to predict the effects of disturbance
title_short Using resilience to predict the effects of disturbance
title_sort using resilience to predict the effects of disturbance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857141/
https://www.ncbi.nlm.nih.gov/pubmed/27145918
http://dx.doi.org/10.1038/srep25539
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