Bulletin of Surveying and Mapping ›› 2025, Vol. 0 ›› Issue (5): 15-20.doi: 10.13474/j.cnki.11-2246.2025.0503

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Estimation and analysis of carbon storage in forest ecosystem of the core area of Changsha-Zhuzhou-Xiangtan Greenheart Central Park

WANG Zhenxiang1,2,3, XIAO Hai1,2,3, QUAN Sixiang1,2,3, CHEN Zhu1,2,3, ZHANG Tai1,2,3   

  1. 1. Hunan Second Surveying and Mapping Institute, Changsha 410119, China;
    2. Natural Resources Hunan Satellite Application Technology Center, Changsha 410119, China;
    3. Hunan Engineering Research Center of Monitoring Carbon Sinks in Natural Ecosystems, Changsha 410119, China
  • Received:2024-08-26 Published:2025-06-05

Abstract: Forest land is the largest carbon pool in the terrestrial ecosystem. In order to solve the problem that the existing forest land field investigation methods are relatively backward and inefficient, this paper takes the core area of Changsha-Zhuzhou-Xiangtan Greenheart Central Park as the research area, and evaluates the vegetation carbon storage, soil carbon storage and their spatial distribution characteristics of the forest ecosystem in the core area in 2022 by using multiple techniques such as sample plot investigation, model simulation and remote sensing. The results show as follows:①The total carbon storage of forest ecosystem in the core area in 2022 is 1.22×106MgC, and the average carbon density is 97.29 MgC/hm2.②The forest vegetation carbon reserve in the core area is 6.72×105MgC, and the average vegetation carbon density is 53.47 MgC/hm2,with the spatial distribution pattern of high in the west and low in the east.③The carbon storage of 0~20 cm surface soil of forest land in the core area is 5.50×105MgC, and the average soil carbon density is 43.82 MgC/hm2,mainly distributing in Zhaoshan town and the southwest of Tiaoma town. This paper can provide technical reference for the background investigation of ecosystem carbon stocks and carbon sink monitoring, and provide scientific basis for realizing the goal of carbon peak and carbon neutrality on schedule.

Key words: forest ecosystem, carbon storage, sample plot investigation, model simulation, remote sensing technology, the core area of Greenheart

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