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<p>The continental shelves of Yellow Sea and East China Sea harbor complex macrozoobenthic communities, and they are shaped by unique hydrographic features such as the Yellow Sea Cold Water Mass and the Kuroshio. To address the lack of full-coverage spatial baselines for these ecologically critical assemblages, we constructed a continental shelf-scale community distribution model (CDM). By integrating community point data from benthic trawl surveys conducted between 2000 and 2015 with benthic environmental data from Bio-ORACLE, we developed CDMs based on binomial generalized linear model (GLM) and multi-algorithm ensemble species distribution models (SDMs). Spatial probability distribution maps of communities were generated at a resolution of 0.5° and subsequently integrated into a comprehensive map of the most probable macrozoobenthic community distribution across the study area. The results indicate: (1) model predictions exhibit high consistency with observed distributions (GLM: 90.4%; ensemble SDM: 91.3%); (2) depth and temperature are dominant environmental drivers, and cold-water mass communities exhibited significant negative correlations with temperature, while East China Sea communities display coast-to-offshore zonation patterns along depth gradients; (3) CDMs demonstrate robust extrapolation capabilities in data-sparse regions, such as the northern Yellow Sea and offshore areas of the East China Sea, and successfully predicted the community distributions. This study provided continuous distribution maps of macrozoobenthic community distributions in the Yellow and East China Seas, validated the applicability of CDMs in complex shelf ecosystems with a valuable tool for biodiversity conservation and marine management in this region.</p>

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Mapping the macrozoobenthic communities in the Yellow Sea and the East China Sea using community distribution model

  • 期刊论文

  • 发表日期：

    2026年2月7日

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  • Yue Zhang,
  • Yong Xu,
  • Xinzheng Li

摘要

The continental shelves of Yellow Sea and East China Sea harbor complex macrozoobenthic communities, and they are shaped by unique hydrographic features such as the Yellow Sea Cold Water Mass and the Kuroshio. To address the lack of full-coverage spatial baselines for these ecologically critical assemblages, we constructed a continental shelf-scale community distribution model (CDM). By integrating community point data from benthic trawl surveys conducted between 2000 and 2015 with benthic environmental data from Bio-ORACLE, we developed CDMs based on binomial generalized linear model (GLM) and multi-algorithm ensemble species distribution models (SDMs). Spatial probability distribution maps of communities were generated at a resolution of 0.5° and subsequently integrated into a comprehensive map of the most probable macrozoobenthic community distribution across the study area. The results indicate: (1) model predictions exhibit high consistency with observed distributions (GLM: 90.4%; ensemble SDM: 91.3%); (2) depth and temperature are dominant environmental drivers, and cold-water mass communities exhibited significant negative correlations with temperature, while East China Sea communities display coast-to-offshore zonation patterns along depth gradients; (3) CDMs demonstrate robust extrapolation capabilities in data-sparse regions, such as the northern Yellow Sea and offshore areas of the East China Sea, and successfully predicted the community distributions. This study provided continuous distribution maps of macrozoobenthic community distributions in the Yellow and East China Seas, validated the applicability of CDMs in complex shelf ecosystems with a valuable tool for biodiversity conservation and marine management in this region.