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Plant magnesium on the Qinghai-Tibetan Plateau: Spatial patterns and influencing factors.
Jiao, Chaolian; Zhang, Jiahui; Wang, Xiaochun; He, Nianpeng.
Affiliation
  • Jiao C; School of Forestry, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China.
  • Zhang J; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China. Electronic address: zhangjh.18b@igsnrr.ac.cn.
  • Wang X; School of Forestry, Northeast Forestry University, Harbin 150040, China.
  • He N; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Sci Total Environ ; 862: 160743, 2023 Mar 01.
Article in En | MEDLINE | ID: mdl-36502968
ABSTRACT
Magnesium (Mg) plays a crucial role in regulating plant photosynthesis and stress resistance. However, our understanding of plant Mg at the community level remains limited because of lack of systematic investigations. This study, for the first time, comprehensively evaluated community-level Mg content and density, and determined their spatial patterns and driving factors, on the Qinghai-Tibetan Plateau (TP), using data from 680 ecosystems (169 forests, 22 shrublands, 466 grasslands, and 23 deserts). Mg density was 1.01, 2.36, 1.87, and 2.26 g m-2 in leaves, branches, trunks, and roots, respectively. Notably, we generated maps of plant Mg content and density with a 1 km × 1 km resolution based on random forest models. Mg content decreased from northwest to southeast, but Mg density was higher in the east of the plateau, which reflected plant adaptive strategies to the unique radiation, oxygen, and temperature conditions (major driving factors) on the TP. Our findings provide insights into biogeochemical cycling and could facilitate the optimization of remote sensing parameters.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Magnesium Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Magnesium Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country: