• Assessing the effectiveness of China’s panda protection system

      Wei, Wei; Swaisgood, Ronald R.; Pilfold, Nicholas W.; Owen, Megan A.; Dai, Qiang; Wei, Fuwen; Han, Han; Yang, Zhisong; Yang, Xuyu; Gu, Xiaodong; et al. (2020)
      ...Together these findings indicate that China’s panda reserves have been effective and that they are functioning better over time, conserving more and better habitats and containing more pandas. While China’s protected area system still has much room for improvement [4, 5], including to support pandas [16], these findings underscore the progress made in China’s nascent environmental movement.
    • Climate change and landscape-use patterns influence recent past distribution of giant pandas

      Tang, Junfeng; Swaisgood, Ronald R.; Owen, Megan A.; Zhao, Xuzhe; Wei, Wei; Pilfold, Nicholas W.; Wei, Fuwen; Yang, Xuyu; Gu, Xiaodong; Yang, Zhisong; et al. (The Royal Society, 2020)
      Climate change is one of the most pervasive threats to biodiversity globally, yet the influence of climate relative to other drivers of species depletion and range contraction remain difficult to disentangle.... We conclude that the panda's distribution has been influenced by changing climate, but conservation intervention to manage habitat is working to increasingly offset these negative consequences.
    • Climate change and landscape-use patterns influence recent past distribution of giant pandas

      Tang, Junfeng; Swaisgood, Ronald R.; Owen, Megan A.; Zhao, Xuzhe; Wei, Wei; Pilfold, Nicholas W.; Wei, Fuwen; Yang, Xuyu; Gu, Xiaodong; Yang, Zhisong; et al. (2020)
      Climate change is one of the most pervasive threats to biodiversity globally, yet the influence of climate relative to other drivers of species depletion and range contraction remain difficult to disentangle. Here, we examine climatic and non-climatic correlates of giant panda (Ailuropoda melanoleuca) distribution using a large-scale 30 year dataset to evaluate whether a changing climate has already influenced panda distribution. We document several climatic patterns, including increasing temperatures, and alterations to seasonal temperature and precipitation. We found that while climatic factors were the most influential predictors of panda distribution, their importance diminished over time, while landscape variables have become relatively more influential. We conclude that the panda's distribution has been influenced by changing climate, but conservation intervention to manage habitat is working to increasingly offset these negative consequences.