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Data-driven estimation of nitric oxide emissions from global soils based on dominant vegetation covers.
Tian, Xingshuai; Yin, Yulong; He, Kai; Qiu, Ruonan; Cong, Jiahui; Wang, Zihan; Yu, Huitong; Chen, Zhong; Chu, Yiyan; Ying, Hao; Cui, Zhenling.
Afiliação
  • Tian X; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Yin Y; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • He K; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Qiu R; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
  • Cong J; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Wang Z; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Yu H; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Chen Z; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Chu Y; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Ying H; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
  • Cui Z; College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
Glob Chang Biol ; 29(20): 5955-5967, 2023 10.
Article em En | MEDLINE | ID: mdl-37462298
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Óxido Nítrico Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Óxido Nítrico Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article