2012
DOI: 10.1038/nclimate1727
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Climate-change impacts on understorey bamboo species and giant pandas in China’s Qinling Mountains

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Cited by 147 publications
(88 citation statements)
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“…To minimize collinearity between these bioclimatic variables, we calculated intercorrelations among 2 of the 19 bioclimatic variables, and one of the variables was removed when the correlation coefficient > |0.70|. Our method for selecting predictor was very similar to Tuanmu et al (2013). As a result, eight bioclimatic variables (Bio 2, Bio 4, Bio 10, Bio 11, Bio 15, Bio 17, Bio 18 and Bio 19; Table S3) were used to construct our models.…”
Section: Study Area and Datamentioning
confidence: 99%
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“…To minimize collinearity between these bioclimatic variables, we calculated intercorrelations among 2 of the 19 bioclimatic variables, and one of the variables was removed when the correlation coefficient > |0.70|. Our method for selecting predictor was very similar to Tuanmu et al (2013). As a result, eight bioclimatic variables (Bio 2, Bio 4, Bio 10, Bio 11, Bio 15, Bio 17, Bio 18 and Bio 19; Table S3) were used to construct our models.…”
Section: Study Area and Datamentioning
confidence: 99%
“…Many of the bamboo species consumed by giant pandas are found to be sensitive to climate change (Qing, 1989). A recent study finds that three dominant bamboo species would face a substantial reduction in the distributional ranges during the 21st century in the Qingling Mountains (Tuanmu et al, 2013). However, the potential consequences of climate change on bamboo species distributions in other regions and species diversity in entire giant panda habitats remain exclusive, which is required for the design of an effective conservation network for panda conservation under climate change.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the population is thought to be vulnerable to the increasingly warmer and drier climate that is expected to occur in this century (Liu et al, 2004;Wang et al, 2010). Climate change may reduce significantly both the area of giant panda habitats (Songer et al, 2012;Fan et al, 2014) and food supplies (Tuanmu et al, 2013) in panda reserves, jeopardizing their effectiveness to safeguard giant panda populations in the future.…”
Section: Introductionmentioning
confidence: 99%
“…The accumulated knowledge from previous studies lays a good foundation for the systematic design of this study, such as the selection of model variables. As a typical coupled human and natural system, findings and methods developed in the reserve have been applied to many other parts of the world (e.g., Liu et al 2003, Xu et al 2006, Yu and Liu 2007, Bawa et al 2010, Chen et al 2010, Tuanmu et al 2012, An et al 2014, Bradbury et al 2014. It is our hope that insights from this study (e.g., feedback mechanisms and management implications) will be similarly useful for research and management in many other areas around the world.…”
Section: Study Areamentioning
confidence: 99%