Status: this preprint was under review for the journal BG. A revision for further review has not been submitted.
Minimum temperature and precipitation determine fish richness pattern in China's nature reserves
Wende Chen,Shengbin Chen,Mengwei Shen,Lingfeng Mao,Peihao Peng,Juan Wang,Dan Zhao,and Yuelin Wang
Abstract. Understanding the drivers of geographic variation in species richness is one of the fundamental goals in ecology and biogeography. Fish is the key element in freshwater ecosystem and the focus of fishery production and biological conservation. Chinese freshwater fish fauna is rich and largely endemic due to variable geography and climate. By compiling the published data on fish richness for 86 nature reserves, and taking environmental predictors into consideration, we aimed to test latitudinal and longitudinal gradients in fish richness and the relative roles of energy availability, physiological tolerance, climatic seasonality and habitat heterogeneity hypotheses in explaining geographic fish richness pattern. Fish richness in China's nature reserves decreases with latitude and showed a hump-shaped relationship with longitude. Latitudinal fish richness is mainly shaped by mean temperature of the coldest month. Mean elevation and associated changes in temperature lead to longitudinal fish richness gradient. Among the four hypotheses tested, physiological tolerance hypothesis performs best and accounts for 55.4 % of the spatial variance in fish richness. Minimum temperature and precipitation are the primary determinants of fish species richness. Habitat heterogeneity is not negligible since adding river density to physiological tolerance model can explain additional 2 % variance in fish richness. Our results can provide useful information for regional fish production and conservation.
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College of Tourism and Urban-Rural planning, Chengdu University of Technology, Chengdu, 610059, China
Shengbin Chen
College of Environment and Ecology, Chengdu University of Technology, Chengdu, 610059, China
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China
State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Chengdu University of Technology, Chengdu, 610059, China
Mengwei Shen
School of Ecological and Environmental Science, East China Normal University, Shanghai, 200241, China
Lingfeng Mao
Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, 210037, China
Peihao Peng
Institute of Ecological Resource and Landscape Architecture, Chengdu University of Technology, Chengdu, 610059, China
Juan Wang
College of Tourism and Urban-Rural planning, Chengdu University of Technology, Chengdu, 610059, China
Dan Zhao
College of Earth science, Chengdu University of Technology, Chengdu, 610059, China
Yuelin Wang
Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China