Affiliation:
1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
2. Key Laboratory of Spatio-Temporal Information and Intelligent Services, Chinese Ministry of Natural Resources, Changsha 410083, China
3. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China
Abstract
Terrestrial ecosystem carbon uptake is essential to achieving a regional carbon neutrality strategy, particularly in subtropical humid areas with dense vegetation. Due to the complex spatial and temporal heterogeneity of the carbon uptake of ecosystems, it is difficult to quantify the influence and contribution of different factors. With the aid of multisource remote sensing data, the spatiotemporal characteristics of carbon uptake and the impact of vegetation change were explored in the Dongting Lake Basin from 2001 to 2020. Based on the Conversion of Land Use and its Effects at Small regional extent (CLUE-S) model, we simulated the land use of the basin under different development scenarios in 2030. Our results showed that the basin has demonstrated a significant greening trend in the last 20 years, with a multiyear average NDVI (normalized difference vegetation index) of 0.60 and an increasing trend (y = 0.0048x − 9.069, R2 = 0.89, p < 0.01). In this context, the multiyear mean of net ecosystem productivity (NEP) was 314.95 g C·m−2·a−1 and also showed a significant increasing trend (y = 1.8915x + 295.09, R2 = 0.23, p < 0.05). Moreover, though the future carbon uptake might decrease because of the enhanced anthropogenic activities, the ecological conservation scenario might mitigate the reduction by 0.05 × 107 t. In conclusion, the greening trend enhanced the ecosystem carbon uptake in the Dongting lake basin. Considering the representativeness of the Dongting Lake Basin, the results of our study would provide useful clues for understanding the trend and pattern of terrestrial carbon uptake and for guiding the carbon neutrality strategy in the subtropical humid area.
Funder
National Natural Science Foundation of China
Nature Science Foundation of Hunan Province
Key Laboratory of Urban Land Resources Monitoring and Simulation, Minis-try of Natural Resources
Reference61 articles.
1. Vochozka, M., Horak, J., Krulický, T., and Pardal, P. (2020). Predicting future Brent oil price on global markets. Acta Montan. Slovaca, 25.
2. Climate change 2021: The physical science basis;Zhai;Contrib. Work. Group I Sixth Assess. Rep. Intergov. Panel Clim. Change,2021
3. Statement at the general debate of the 75th session of the united nations general assembly;Xi;Gaz. State Counc. People’s Repub. China,2020
4. Global carbon budget 2020;Friedlingstein;Earth Syst. Sci. Data,2020
5. Terrestrial vegetation carbon sinks in China, 1981–2000;Fang;Sci. China Ser. D,2007