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Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling.
Li, Yongxiang; Shao, Wenhao; Jiang, Jingmin.
Affiliation
  • Li Y; Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China.
  • Shao W; Nanjing Forestry University, Nanjing, 210037, China.
  • Jiang J; Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China. whshao8119@163.com.
Environ Sci Pollut Res Int ; 29(15): 21751-21768, 2022 Mar.
Article in En | MEDLINE | ID: mdl-34773237
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Sapindus Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2022 Document type: Article Affiliation country: China Country of publication: Alemania
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Climate Change / Sapindus Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2022 Document type: Article Affiliation country: China Country of publication: Alemania