Study on Bird Species Richness and Its Maintenance Factors in Southwest China

被引：0
|
作者：
Chen W. [1 ]
Xu J. [1 ,2 ]
机构：
[1] Baoshan University, Baoshan
[2] Communist Party of China Yuxi Municipal Committee Party School, Yuxi
来源：
Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis | 2023年 / 59卷 / 04期
关键词：
birds richness; human activity; southwest China; spatial heterogeneity; vegetation;
D O I：
10.13209/j.0479-8023.2023.028
中图分类号：
学科分类号：
摘要：
Taking southwest China as an example, the optimal parameters-based geographical detector (OPGD) was used to study the single and comprehensive effects of climate, topography, vegetation and human activities on bird species richness in the region, and determine the optimal range of single factors that promote the maintenance of bird richness. The results suggest that the spatial differentiation of bird species richness in southwest China is mainly affected by vegetation and climate factors. In the independent influence of various factors, the vegetation factor is the most important contribution, and the total contribution rate of enhance vegetation index (EVI) and forest cover height (FCH) is 33.8%‒34.7%. The interaction between the two factors enhances the influence of any single factor, and makes a significant nonlinear effect on birds richness. The study shows that the agent index of vegetation factor, especially the agent index of productivity, can better reflect the comprehensive status of the regional environment and is more suitable for the estimation of bird species diversity. © 2023 Peking University. All rights reserved.
引用
收藏
页码：629 / 638
页数：9
相关论文
共 31 条
  • [1] Field R, Hawkins B A, Cornell H V, Et al., Spatial species-richness gradients across scales: a meta-analysis, Journal of Biogeography, 36, 1, pp. 132-147, (2009)
  • [2] Bar-Yam Y., From big data to important information, Complexity, 21, pp. 73-98, (2016)
  • [3] Skidmore A K, Coops N C, Neinavaz E, Et al., Priority list of biodiversity metrics to observe from space, Nature Ecology & Evolution, (2021)
  • [4] Stein A, Gerstner K, Kreft H., Environmental heterogeneity as a universal driver of species richness across taxa, biomes and spatial scales, Ecology Letters, 17, 7, pp. 866-880, (2014)
  • [5] Fletcher R, Fortin M J., Spatial ecology and conservation modeling: applications with R, (2018)
  • [6] Peters M K, Hemp A, Appelhans T, Et al., Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level, Nature Communications, 7, (2016)
  • [7] Jenkins C N, Pimm S L, Joppa L N., Global patterns of terrestrial vertebrate diversity and conservation, PNAS, 110, 28, pp. E2602-E2610, (2013)
  • [8] The IUCN red list of threatened species
  • [9] Udy K, Fritsch M, Meyer K M, Et al., Environmental heterogeneity predicts global species richness patterns better than area, Global Ecology and Biogeography, 30, 4, pp. 842-851, (2021)
  • [10] McCain C M, Grytnes J A., Elevational gradients in species richness, Encyclopedia of Life Sciences, (2010)
1234