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Prediction of the potentially suitable areas of Ligularia virgaurea and Ligularia sagitta on the Qinghai-Tibet Plateau based on future climate change using the MaxEnt model.
Dong, Rui; Hua, Li-Min; Hua, Rui; Ye, Guo-Hui; Bao, Darhan; Cai, Xin-Cheng; Cai, Bin; Zhao, Xi-Cun; Chu, Bin; Tang, Zhuang-Sheng.
Afiliação
  • Dong R; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Hua LM; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Hua R; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Ye GH; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Bao D; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Cai XC; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Cai B; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Zhao XC; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Chu B; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
  • Tang ZS; Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.
Front Plant Sci ; 14: 1193690, 2023.
Article em En | MEDLINE | ID: mdl-37546265
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça