Spatial non-stationarity effect of determinants regulates variation in amphibian species richness

被引:4
作者
Wu, Zhaoning [1 ]
Borzee, Amael [2 ]
Qian, Tianlu [1 ]
Dai, Wenyu [1 ]
Li, Siqing [1 ]
Wang, Jiechen [1 ,3 ]
机构
[1] Nanjing Univ, Sch Geog & Ocean Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Key Lab Land Satellite Remote Sensing Applicat Min, Nanjing 210023, Peoples R China
[2] Nanjing Forestry Univ, Coll Biol & Environm, Lab Anim Behav & Conservat, Nanjing 210037, Peoples R China
[3] Nanjing Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Amphibian; Determinants; Effect of geographical scale; Multiscale geographically weighted regression; Spatial non-stationarity; Self-organizing feature mapping; CLIMATE-CHANGE; ENVIRONMENTAL DETERMINANTS; PATTERNS; BIODIVERSITY; LANDSCAPE; DIVERSITY; ENERGY; CHINA; SCALE; HETEROGENEITY;
D O I
10.1016/j.ecolind.2023.110268
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Despite the variation in amphibian biodiversity being often explained through environmental variables, the effects of spatial non-stationarity factors are too-often ignored as significant geographic characteristics, especially at large scales. Here, using a spatial regression approach through a multiscale analysis, we explored the spatial heterogeneity and scale effects in the impacts of environments on amphibian species richness across China. We showed that the impacts of variables varied with regions, and the individual scales specific to each variable were negatively correlated with effect sizes. We then demonstrated that climate variables, followed by topography, showed a high explanatory power for species richness in most areas, while the effects of precipitation and temperature were characterized by high geographical heterogeneity. In addition, elevation was positively related to local species richness in most plains, while being a main negative variable to species richness in the western highlands. The analysis of geographic heterogeneity showed that the explanatory power of most variables declined with increasing elevation. Although anthropogenic impacts contributed less than climatic variables, they significantly increased the sensitivity of amphibian species to environmental variations. Finally, to measure the aggregation pattern of heterogeneous effects of variables on species richness, we used a neural network to identify ecoregions regulated by similar variables and determined the presence of four ecologically consistent regions. Our findings provide further evidence supporting spatially variables regulators of amphibian diversity.
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页数:11
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