Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.

Droughts can have a severe impact on the dynamics of animal populations, particularly in semi-arid and arid environments where herbivore populations are strongly limited by resource availability. Increased drought intensity under projected climate change scenarios can be expected to reduce the viabi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Clare Duncan, Aliénor L M Chauvenet, Louise M McRae, Nathalie Pettorelli
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7a19b2f7efcf40c5acede6243330befc
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7a19b2f7efcf40c5acede6243330befc
record_format	dspace
spelling	oai:doaj.org-article:7a19b2f7efcf40c5acede6243330befc2021-11-18T08:04:51ZPredicting the future impact of droughts on ungulate populations in arid and semi-arid environments.1932-620310.1371/journal.pone.0051490https://doaj.org/article/7a19b2f7efcf40c5acede6243330befc2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23284700/?tool=EBIhttps://doaj.org/toc/1932-6203Droughts can have a severe impact on the dynamics of animal populations, particularly in semi-arid and arid environments where herbivore populations are strongly limited by resource availability. Increased drought intensity under projected climate change scenarios can be expected to reduce the viability of such populations, yet this impact has seldom been quantified. In this study, we aim to fill this gap and assess how the predicted worsening of droughts over the 21(st) century is likely to impact the population dynamics of twelve ungulate species occurring in arid and semi-arid habitats. Our results provide support to the hypotheses that more sedentary, grazing and mixed feeding species will be put at high risk from future increases in drought intensity, suggesting that management intervention under these conditions should be targeted towards species possessing these traits. Predictive population models for all sedentary, grazing or mixed feeding species in our study show that their probability of extinction dramatically increases under future emissions scenarios, and that this extinction risk is greater for smaller populations than larger ones. Our study highlights the importance of quantifying the current and future impacts of increasing extreme natural events on populations and species in order to improve our ability to mitigate predicted biodiversity loss under climate change.Clare DuncanAliénor L M ChauvenetLouise M McRaeNathalie PettorelliPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 12, p e51490 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Clare Duncan Aliénor L M Chauvenet Louise M McRae Nathalie Pettorelli Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.
description	Droughts can have a severe impact on the dynamics of animal populations, particularly in semi-arid and arid environments where herbivore populations are strongly limited by resource availability. Increased drought intensity under projected climate change scenarios can be expected to reduce the viability of such populations, yet this impact has seldom been quantified. In this study, we aim to fill this gap and assess how the predicted worsening of droughts over the 21(st) century is likely to impact the population dynamics of twelve ungulate species occurring in arid and semi-arid habitats. Our results provide support to the hypotheses that more sedentary, grazing and mixed feeding species will be put at high risk from future increases in drought intensity, suggesting that management intervention under these conditions should be targeted towards species possessing these traits. Predictive population models for all sedentary, grazing or mixed feeding species in our study show that their probability of extinction dramatically increases under future emissions scenarios, and that this extinction risk is greater for smaller populations than larger ones. Our study highlights the importance of quantifying the current and future impacts of increasing extreme natural events on populations and species in order to improve our ability to mitigate predicted biodiversity loss under climate change.
format	article
author	Clare Duncan Aliénor L M Chauvenet Louise M McRae Nathalie Pettorelli
author_facet	Clare Duncan Aliénor L M Chauvenet Louise M McRae Nathalie Pettorelli
author_sort	Clare Duncan
title	Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.
title_short	Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.
title_full	Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.
title_fullStr	Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.
title_full_unstemmed	Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.
title_sort	predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/7a19b2f7efcf40c5acede6243330befc
work_keys_str_mv	AT clareduncan predictingthefutureimpactofdroughtsonungulatepopulationsinaridandsemiaridenvironments AT alienorlmchauvenet predictingthefutureimpactofdroughtsonungulatepopulationsinaridandsemiaridenvironments AT louisemmcrae predictingthefutureimpactofdroughtsonungulatepopulationsinaridandsemiaridenvironments AT nathaliepettorelli predictingthefutureimpactofdroughtsonungulatepopulationsinaridandsemiaridenvironments
_version_	1718422236723937280

Predicting the future impact of droughts on ungulate populations in arid and semi-arid environments.

Ejemplares similares