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Prediction of vegetation phenology with atmospheric reanalysis over semiarid grasslands in Inner Mongolia.
Ma, Xue-Qing; Leng, Pei; Liao, Qian-Yu; Geng, Yun-Jing; Zhang, Xia; Shang, Guo-Fei; Song, Xiaoning; Song, Qian; Li, Zhao-Liang.
Afiliación
  • Ma XQ; School of Land Science and Spatial Planning, Hebei GEO University, Shijiazhuang 050031, China.
  • Leng P; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China. Electronic address: lengpei@caas.cn.
  • Liao QY; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
  • Geng YJ; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
  • Zhang X; School of Land Science and Spatial Planning, Hebei GEO University, Shijiazhuang 050031, China.
  • Shang GF; School of Land Science and Spatial Planning, Hebei GEO University, Shijiazhuang 050031, China.
  • Song X; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Song Q; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
  • Li ZL; School of Land Science and Spatial Planning, Hebei GEO University, Shijiazhuang 050031, China; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081,
Sci Total Environ ; 812: 152462, 2022 Mar 15.
Article en En | MEDLINE | ID: mdl-34953826
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cambio Climático / Pradera Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cambio Climático / Pradera Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos