Habitat Use and Selection by Giant Pandas.
Animals make choices about where to spend their time in complex and dynamic landscapes, choices that reveal information about their biology that in turn can be used to guide their conservation. Using GPS collars, we conducted a novel individual-based analysis of habitat use and selection by the elus...
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doaj-8891715d6828458aaa3ebbedbf5c3bc82020-11-25T02:05:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01119e016226610.1371/journal.pone.0162266Habitat Use and Selection by Giant Pandas.Vanessa HullJindong ZhangJinyan HuangShiqiang ZhouAndrés ViñaAshton ShortridgeRengui LiDian LiuWeihua XuZhiyun OuyangHemin ZhangJianguo LiuAnimals make choices about where to spend their time in complex and dynamic landscapes, choices that reveal information about their biology that in turn can be used to guide their conservation. Using GPS collars, we conducted a novel individual-based analysis of habitat use and selection by the elusive and endangered giant pandas (Ailuropoda melanoleuca). We constructed spatial autoregressive resource utilization functions (RUF) to model the relationship between the pandas' utilization distributions and various habitat characteristics over a continuous space across seasons. Results reveal several new insights, including use of a broader range of habitat characteristics than previously understood for the species, particularly steep slopes and non-forest areas. We also used compositional analysis to analyze habitat selection (use with respect to availability of habitat types) at two selection levels. Pandas selected against low terrain position and against the highest clumped forest at the at-home range level, but no significant factors were identified at the within-home range level. Our results have implications for modeling and managing the habitat of this endangered species by illustrating how individual pandas relate to habitat and make choices that differ from assumptions made in broad scale models. Our study also highlights the value of using a spatial autoregressive RUF approach on animal species for which a complete picture of individual-level habitat use and selection across space is otherwise lacking.http://europepmc.org/articles/PMC5023135?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vanessa Hull Jindong Zhang Jinyan Huang Shiqiang Zhou Andrés Viña Ashton Shortridge Rengui Li Dian Liu Weihua Xu Zhiyun Ouyang Hemin Zhang Jianguo Liu |
spellingShingle |
Vanessa Hull Jindong Zhang Jinyan Huang Shiqiang Zhou Andrés Viña Ashton Shortridge Rengui Li Dian Liu Weihua Xu Zhiyun Ouyang Hemin Zhang Jianguo Liu Habitat Use and Selection by Giant Pandas. PLoS ONE |
author_facet |
Vanessa Hull Jindong Zhang Jinyan Huang Shiqiang Zhou Andrés Viña Ashton Shortridge Rengui Li Dian Liu Weihua Xu Zhiyun Ouyang Hemin Zhang Jianguo Liu |
author_sort |
Vanessa Hull |
title |
Habitat Use and Selection by Giant Pandas. |
title_short |
Habitat Use and Selection by Giant Pandas. |
title_full |
Habitat Use and Selection by Giant Pandas. |
title_fullStr |
Habitat Use and Selection by Giant Pandas. |
title_full_unstemmed |
Habitat Use and Selection by Giant Pandas. |
title_sort |
habitat use and selection by giant pandas. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2016-01-01 |
description |
Animals make choices about where to spend their time in complex and dynamic landscapes, choices that reveal information about their biology that in turn can be used to guide their conservation. Using GPS collars, we conducted a novel individual-based analysis of habitat use and selection by the elusive and endangered giant pandas (Ailuropoda melanoleuca). We constructed spatial autoregressive resource utilization functions (RUF) to model the relationship between the pandas' utilization distributions and various habitat characteristics over a continuous space across seasons. Results reveal several new insights, including use of a broader range of habitat characteristics than previously understood for the species, particularly steep slopes and non-forest areas. We also used compositional analysis to analyze habitat selection (use with respect to availability of habitat types) at two selection levels. Pandas selected against low terrain position and against the highest clumped forest at the at-home range level, but no significant factors were identified at the within-home range level. Our results have implications for modeling and managing the habitat of this endangered species by illustrating how individual pandas relate to habitat and make choices that differ from assumptions made in broad scale models. Our study also highlights the value of using a spatial autoregressive RUF approach on animal species for which a complete picture of individual-level habitat use and selection across space is otherwise lacking. |
url |
http://europepmc.org/articles/PMC5023135?pdf=render |
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