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Testing Seven Hypotheses to Determine What Explains the Current Planthopper (Fulgoridae) Geographical and Species Richness Patterns in China.
Zhao, Zheng-Xue; Yang, Lin; Long, Jian-Kun; Chang, Zhi-Min; Zhou, Zheng-Xiang; Zhi, Yan; Yang, Liang-Jing; Li, Hong-Xing; Sui, Yong-Jin; Gong, Nian; Wang, Xiao-Ya; Chen, Xiang-Sheng.
Afiliação
  • Zhao ZX; Institute of Entomology, Guizhou University, Guiyang 550025, China.
  • Yang L; Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China.
  • Long JK; Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China.
  • Chang ZM; Institute of Entomology, Guizhou University, Guiyang 550025, China.
  • Zhou ZX; Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China.
  • Zhi Y; Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China.
  • Yang LJ; College of Animal Science, Guizhou University, Guiyang 550025, China.
  • Li HX; College of Animal Science, Guizhou University, Guiyang 550025, China.
  • Sui YJ; Institute of Entomology, Guizhou University, Guiyang 550025, China.
  • Gong N; Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China.
  • Wang XY; Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China.
  • Chen XS; Institute of Entomology, Guizhou University, Guiyang 550025, China.
Insects ; 11(12)2020 Dec 17.
Article em En | MEDLINE | ID: mdl-33348760
ABSTRACT
Although many hypotheses have been proposed to understand the mechanisms underlying large-scale richness patterns, the environmental determinants are still poorly understood, particularly in insects. Here, we tested the relative contributions of seven hypotheses previously proposed to explain planthopper richness patterns in China. The richness patterns were visualized at a 1° × 1° grid size, using 14,722 distribution records for 1335 planthoppers. We used ordinary least squares and spatial error simultaneous autoregressive models to examine the relationships between richness and single environmental variables and employed model averaging to assess the environmental variable relative roles. Species richness was unevenly distributed, with high species numbers occurring in the central and southern mountainous areas. The mean annual temperature change since the Last Glacial Maximum was the most important factor for richness patterns, followed by mean annual temperature and net primary productivity. Therefore, historical climate stability, ambient energy, and productivity hypotheses were supported strongly, but orogenic processes and geological isolation may also play a vital role.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article