253 / 2024-09-12 19:36:42
Incorporating multiple sources of knowledge when assessing species vulnerability to climate change
climate change,species distribution model,macroecology,range shift
摘要录用
Zhixin Zhang / South China Sea Institute of Oceanology, Chinese Academy of Sciences
Qiang Lin / South China Sea Institute of Oceanology, Chinese Academy of Sciences
Climate change represents one of the direct drivers of global biodiversity loss, and it is critical to assess species vulnerability to climate change. Species distribution models (SDMs) represent the most widely used approach to assess species vulnerability to climate change and have been successfully applied in a number of taxa. Despite its popularity, correlative SDMs heavily rely on abiotic predictors, while largely overlooking intraspecific variations, biotic interactions, and physiological information. To improve the forecast for biodiversity under climate change, multiple sources of knowledge must be incorporated into SDMs. Here, using marine organisms as case studies, we demonstrated the importance of genetic, physiology, and biotic interactions in assessing vulnerability of marine species to climate change. Our findings highlight the importance of incorporating multiple sources of knowledge when assessing species vulnerability to climate change.
重要日期
  • 会议日期

    01月14日

    2025

    01月17日

    2025

  • 09月27日 2024

    初稿截稿日期

  • 12月14日 2024

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
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