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Relationship between carbon pool changes and environmental changes in arid and semi-arid steppe-A two decades study in Inner Mongolia, China.
Li, Hang; Yang, Banghui; Meng, Yu; Liu, Kai; Wang, Shudong; Wang, Dacheng; Zhang, Hongyan; Huang, Yuling; Liu, Xingtao; Li, Dehui; Li, Long; Li, Xueke.
Affiliation
  • Li H; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Yang B; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Meng Y; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Liu K; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China. Electronic address: liuk@aircas.ac.cn.
  • Wang S; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China. Electronic address: wang
  • Wang D; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Zhang H; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Huang Y; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Liu X; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Li D; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Li L; Aerospace Information Research institute, Chinese Academy of Sciences, Beijing 100094, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Li X; Department of Earth and Environmental Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Sci Total Environ ; 893: 164930, 2023 Oct 01.
Article in En | MEDLINE | ID: mdl-37329920
ABSTRACT
As the arid and semi-arid grassland with the most extensive distribution area in northern China, the carbon stored in Inner Mongolia (IM) grassland is highly susceptible to environmental changes. With the global warming and drastic climate changes, exploring the relationship between carbon pool changes and environmental changes and their spatiotemporal heterogeneity is necessary. This study estimates the carbon pool distribution of IM grassland during 2003-2020 by combining the measured below ground biomass (BGB) dataset, measured soil organic carbon (SOC) dataset, multi-source satellite remote sensing data products, and random forest regression modeling method. It also discusses the variation trend of BGB/SOC and its correlation with critical environmental factors, vegetation condition factors and drought index. The results show that the BGB/SOC in IM grassland was stable during 2003-2020, with a weak upward trend. The correlation analysis reveals that high temperature and drought environment were unfavorable for developing vegetation roots and would lead to a decrease in BGB. Furthermore, temperature rise, soil moisture decrease, and drought adversely effected grassland biomass and SOC in areas with low altitude, high SOC density, suitable temperature and humidity. However, in areas with relatively poor natural environments and relatively low SOC content, SOC was not significantly affected by environmental deterioration and even showed an accumulation trend. These conclusions provide directions for SOC treatment and protection. In areas where SOC is abundant, it is important to reduce carbon loss caused by environmental changes. However, in areas with poor SOC, due to the high carbon storage potential of grasslands, carbon storage can be improved through scientifically managing grazing and protecting vulnerable grasslands.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country: China