Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.

Understanding the historical dynamics of animal species is critical for accurate prediction of their response to climate changes. During the late Quaternary period, Southeast Asia had a larger land area than today due to lower sea levels, and its terrestrial landscape was covered by extensive forest...

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Main Authors: Jiang Chang, De Chen, Xinping Ye, Shouhsien Li, Wei Liang, Zhengwang Zhang, Ming Li
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23185599/?tool=EBI
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spelling doaj-3c1539aea5f743a095bdbe00eecd81632021-03-03T20:26:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e5028610.1371/journal.pone.0050286Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.Jiang ChangDe ChenXinping YeShouhsien LiWei LiangZhengwang ZhangMing LiUnderstanding the historical dynamics of animal species is critical for accurate prediction of their response to climate changes. During the late Quaternary period, Southeast Asia had a larger land area than today due to lower sea levels, and its terrestrial landscape was covered by extensive forests and savanna. To date, however, the distribution fluctuation of vegetation and its impacts on genetic structure and demographic history of local animals during the Last Glacial Maximum (LGM) are still disputed. In addition, the responses of animal species on Hainan Island, located in northern Southeast Asia, to climate changes during the LGM are poorly understood. Here, we combined phylogeographic analysis, paleoclimatic evidence, and species distribution models to examine the response of the flightless Hainan Partridge (Arborophila ardens) to climate change. We concluded that A. ardens survived through LGM climate changes, and its current distribution on Hainan Island was its in situ refuge. Range model results indicated that A. ardens once covered a much larger area than its current distribution. Demographic history described a relatively stable pattern during and following the LGM. In addition, weak population genetic structure suggests a role in promoting gene flow between populations with climate-induced elevation shifts. Human activities must be considered in conservation planning due to their impact on fragmented habitats. These first combined data for Hainan Partridge demonstrate the value of paired genetic and SDMs study. More related works that might deepen our understanding of the responses of the species in Southeast Asia to late Quaternary Climate are needed.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23185599/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Jiang Chang
De Chen
Xinping Ye
Shouhsien Li
Wei Liang
Zhengwang Zhang
Ming Li
spellingShingle Jiang Chang
De Chen
Xinping Ye
Shouhsien Li
Wei Liang
Zhengwang Zhang
Ming Li
Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.
PLoS ONE
author_facet Jiang Chang
De Chen
Xinping Ye
Shouhsien Li
Wei Liang
Zhengwang Zhang
Ming Li
author_sort Jiang Chang
title Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.
title_short Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.
title_full Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.
title_fullStr Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.
title_full_unstemmed Coupling genetic and species distribution models to examine the response of the Hainan Partridge (Arborophila ardens) to late quaternary climate.
title_sort coupling genetic and species distribution models to examine the response of the hainan partridge (arborophila ardens) to late quaternary climate.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Understanding the historical dynamics of animal species is critical for accurate prediction of their response to climate changes. During the late Quaternary period, Southeast Asia had a larger land area than today due to lower sea levels, and its terrestrial landscape was covered by extensive forests and savanna. To date, however, the distribution fluctuation of vegetation and its impacts on genetic structure and demographic history of local animals during the Last Glacial Maximum (LGM) are still disputed. In addition, the responses of animal species on Hainan Island, located in northern Southeast Asia, to climate changes during the LGM are poorly understood. Here, we combined phylogeographic analysis, paleoclimatic evidence, and species distribution models to examine the response of the flightless Hainan Partridge (Arborophila ardens) to climate change. We concluded that A. ardens survived through LGM climate changes, and its current distribution on Hainan Island was its in situ refuge. Range model results indicated that A. ardens once covered a much larger area than its current distribution. Demographic history described a relatively stable pattern during and following the LGM. In addition, weak population genetic structure suggests a role in promoting gene flow between populations with climate-induced elevation shifts. Human activities must be considered in conservation planning due to their impact on fragmented habitats. These first combined data for Hainan Partridge demonstrate the value of paired genetic and SDMs study. More related works that might deepen our understanding of the responses of the species in Southeast Asia to late Quaternary Climate are needed.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23185599/?tool=EBI
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