Your browser doesn't support javascript.
loading
An alternative approach to reduce algorithm-derived biases in monitoring soil organic carbon changes.
Zhang, Weixin; Chen, Yuanqi; Shi, Leilei; Wang, Xiaoli; Liu, Yongwen; Mao, Rong; Rao, Xingquan; Lin, Yongbiao; Shao, Yuanhu; Li, Xiaobo; Zhao, Cancan; Liu, Shengjie; Piao, Shilong; Zhu, Weixing; Zou, Xiaoming; Fu, Shenglei.
Afiliação
  • Zhang W; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning Henan University Kaifeng China.
  • Chen Y; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystem, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
  • Shi L; Hunan Province Key Laboratory of Coal Resources Clean-utilization and Mine Environment Protection Hunan University of Science and Technology Xiangtan China.
  • Wang X; University of Chinese Academy of Sciences Beijing China.
  • Liu Y; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning Henan University Kaifeng China.
  • Mao R; State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal and Veterinary Sciences Qinghai University Xining China.
  • Rao X; College of Urban and Environmental Sciences Peking University Beijing China.
  • Lin Y; Jiangxi Provincial Key Laboratory of Silviculture, College of Forestry Jiangxi Agricultural University Nanchang China.
  • Shao Y; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystem, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
  • Li X; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystem, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
  • Zhao C; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning Henan University Kaifeng China.
  • Liu S; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystem, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
  • Piao S; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystem, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
  • Zhu W; College of Life Sciences Henan University Kaifeng China.
  • Zou X; Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Mengla China.
  • Fu S; College of Urban and Environmental Sciences Peking University Beijing China.
Ecol Evol ; 9(13): 7586-7596, 2019 Jul.
Article em En | MEDLINE | ID: mdl-31346424

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article