Model‐based decomposition of environmental, spatial and species‐interaction effects on the community structure of common fish species in 772 European lakes

Model‐based decomposition of environmental, spatial and species‐interaction effects on the community structure of common fish species in 772 European lakes
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基于模型分解环境、空间和物种相互作用对 772 个欧洲湖泊常见鱼类群落结构的影响

DOI:
10.1111/geb.13314
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发表时间:
2021-05
影响因子:
6.4
通讯作者:
T. Mehner;C. Argillier;T. Hesthagen;K. Holmgren;E. Jeppesen;F. Kelly;T. Krause;M. Olin;P. Volta;I. Winfield;S. Brucet
T. Mehner;C. Argillier;T. Hesthagen;K. Holmgren;E. Jeppesen;F. Kelly;T. Krause;M. Olin;P. Volta;I. Winfield;S. Brucet
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
T. Mehner;C. Argillier;T. Hesthagen;K. Holmgren;E. Jeppesen;F. Kelly;T. Krause;M. Olin;P. Volta;I. Winfield;S. Brucet

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目的:我们测试了除了环境过滤和扩散外,物种相互作用是否对当地湖泊鱼类群落的聚集有很强的影响。地理位置:欧洲772个湖泊和水库。时间段:1993-2012年。主要研究类群:淡水鱼19种。方法:采用贝叶斯马尔可夫链蒙特卡罗算法(R包“BOLAL”)的潜变量方法。我们比较了209个流域的772个欧洲湖泊的空间组织和6个环境预测因子对19种最常见鱼类的存在和不存在以及6种优势物种的生物量和平均质量的贡献。我们检查了物种间的正相关和负相关的残差相关矩阵。
Aim: We tested whether there is a strong effect of species interactions on assembly of local lake fish communities, in addition to environmental filters and dispersal. Location: Seven hundred and seventy- two European lakes and reservoirs. Time period: 1993– 2012. Major taxa studied: Nineteen species of freshwater fishes. Methods: We applied a latent variable approach using Bayesian Markov chain Monte Carlo algorithms (R package “BORAL”). We compared the contributions of six envi ronmental predictors and the spatial organization of 772 European lakes in 209 river basins on the presence/absence of the 19 most frequent fish species and on the biomass and mean mass of the six dominant species. We inspected the residual cor relation matrix for positive and negative correlations between species.