Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1782430606467006464 |
---|---|
author | Nattrass, Stuart Lusseau, David |
author_facet | Nattrass, Stuart Lusseau, David |
author_sort | Nattrass, Stuart |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4857141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT nattrassstuart usingresiliencetopredicttheeffectsofdisturbance AT lusseaudavid usingresiliencetopredicttheeffectsofdisturbance |