Research on monitoring methods of vegetation carbon sink in natural ecosystems： a case study of the core area of the Changsha-Zhuzhou-Xiangtan Greenheart Central Park

XIAO Hai; QUAN Sixiang; WANG Zhengxiang; LIAO Sha

doi:10.13205/j.hjgc.202504006

Volume 43 Issue 4

Apr. 2025

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2025 > 43(4): 59-66

XIAO H，QUAN S X，WANG Z X，et al.Research on monitoring methods of vegetation carbon sink in natural ecosystems： a case study of the core area of the Changsha-Zhuzhou-Xiangtan Greenheart Central Park［J］.Environmental Engineering，2025，43（4）：59-66. doi: 10.13205/j.hjgc.202504006

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Research on monitoring methods of vegetation carbon sink in natural ecosystems： a case study of the core area of the Changsha-Zhuzhou-Xiangtan Greenheart Central Park

doi: 10.13205/j.hjgc.202504006

XIAO Hai^1,2,3,
QUAN Sixiang^{1,2,3
,
,},
WANG Zhengxiang^1,2,3,
LIAO Sha^1,2,3

1. The Second Survey and Mapping Institute of Hunan Province, Changsha 410000, China;
2. Natural Resources Hunan Satellite Application Technology Center, Changsha 410000, China;
3. Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha 410000, China

Received Date: 2024-05-22
Accepted Date: 2024-08-09
Rev Recd Date: 2024-07-23
Publish Date: 2025-04-01

Abstract

Abstract

China has made a major strategic decision to achieve the carbon peak and carbon neutrality goals， and consolidating and enhancing the ecosystem’s carbon sink capacity is an important action for realizing the goal. As a critical component of the global carbon cycle， the terrestrial ecosystem plays a huge role in the carbon sinks. The field investigation is a traditional method to monitor the carbon sink which has the problems of high labor cost and low work efficiency. In order to avoid and solve these problems effectively， this study took the core area of the Green Heart Central Park in the Changsha-Zhuzhou-Xiangtan urban agglomeration as the research object， and put forward a classification method of natural ecosystems， based on the classification framework of the Third National Land Resource Survey. By integrating satellite remote sensing imagery and some fundamental datasets， including precipitation， temperatures， and digital elevation models （DEM） and other basic data， a CASA_NEP model was constructed by combing the CASA model and the Net Ecosystem Productivity （NEP） approach， and this model was applied to estimate the NEP of the core area of the Changsha-Zhuzhou-Xiangtan Greenheart Central Park in 2022，which served as a quantitative indicator of vegetation carbon sink capacity of the core area. Furthermore， the spatial distribution and variations in vegetation carbon sinks across the different types of natural ecosystems in the core area were analyzed. The results indicated that the total annual vegetation carbon sink in the core area of the Changsha-Zhuzhou-Xiangtan Greenheart Central Park in 2022 reached 9471.51 Mg C/a， and the average carbon sink per unit area of the core area was 0.73 Mg C/（hm²·a）. Meanwhile， there was a significant difference of the vegetation carbon sink between the different ecosystem types in the core area， and forest ecosystem had the maximum of vegetation carbon sink， with a proportion of 98.28% of the total vegetation carbon sink of the core area， grassland ecosystem accounted for 1.64%， and wetland ecosystem accounted for only 0.08%. This method demonstrates high feasibility and operational efficiency which can offer substantial cost savings and improve the accuracy of carbon sink monitoring compared to traditional approaches. It can provide a scientific reference for large-scale vegetation carbon sink monitoring at a province level and even the country level.
- natural ecosystem,
- vegetation carbon sink,
- carbon sink monitoring,
- CASA model,
- net ecosystem productivity

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References(32)

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