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
Abstract Accepted
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.
Important Date
  • Conference Date

    Jan 13

    2025

    to

    Jan 17

    2025

  • Sep 27 2024

    Draft paper submission deadline

  • Feb 17 2025

    Registration deadline

Sponsored By
State Key Laboratory of Marine Environmental Science, Xiamen University
Organized By
State Key Laboratory of Marine Environmental Science, Xiamen University
Department of Earth Sciences, National Natural Science Foundation of China
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