

FOLLOWUS
1.Department of Marine Organism Taxonomy & Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
2.Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao 266237, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.China Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
xuyong@qdio.ac.cn
lixzh@qdio.ac.cn
收稿:2025-06-19,
网络首发:2026-02-04,
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Yue ZHANG, Yong XU, Xinzheng LI. Mapping the macrozoobenthic communities in the Yellow Sea and the East China Sea using community distribution model[J/OL]. 海洋湖沼学报(英文), 2026,1-11.
ZHANG Yue,XU Yong,LI Xinzheng.Mapping the macrozoobenthic communities in the Yellow Sea and the East China Sea using community distribution model[J].Journal of Oceanology and Limnology,
Yue ZHANG, Yong XU, Xinzheng LI. Mapping the macrozoobenthic communities in the Yellow Sea and the East China Sea using community distribution model[J/OL]. 海洋湖沼学报(英文), 2026,1-11. DOI: 10.1007/s00343-025-5223-9.
ZHANG Yue,XU Yong,LI Xinzheng.Mapping the macrozoobenthic communities in the Yellow Sea and the East China Sea using community distribution model[J].Journal of Oceanology and Limnology, DOI:.
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.
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