School of Geography and Tourism, Chongqing Normal University, Chongqing, 401331, China.
Chongqing Key Laboratory of Earth Surface Processes and Environmental Remote Sensing in Three Gorges Reservoir Area, Chongqing, 401331, China.
Environ Sci Pollut Res Int. 2024 Jan;31(3):4238-4255. doi: 10.1007/s11356-023-31335-5. Epub 2023 Dec 15.
Terrestrialecosystems are significant carbon sinks and are crucial for understanding the regional and global carbon cycles, energy flow, and climate change. As land use change is a significant process affecting ecosystem carbon stocks and striving for land degradation neutrality (LDN), studying it is essential for comprehending the evolution of regional carbon sink functions and achieving sustainable development goals. The drastically diverse land use patterns in each of the study area's regions resulted in significant differences in carbon stock. This study explores the evolution traits of carbon stocks based on land use data and their driving mechanisms in Chongqing during the past 30 years by using spatial analysis, the InVEST model, and geographic probes. The results demonstrate that from 1990 to 2020, land degradation in Chongqing was made worse by the demand for land for construction land, but the strategy of converting cropland back to forests raised the carbon stock of forest land. The overall result is a decrease in total carbon stocks of 5.1078 Tg or 1.5%. The main pathway for carbon loss pathway in the evolution of carbon stock is the conversion of cropland to construction land, and the primary carbon compensation pathway is the conversion of grassland and cropland to forest land, with a spatial distribution characterized by "higher in the whole area and obvious local differences." The land use intensity index has the most significant influence on the evolution of carbon stock. Moreover, the interaction of pairwise factors played a more important role in affecting the evolution of carbon stocks than did each factor individually. The case study in this paper shows that land use change is a significant driving mechanism for the evolution of carbon stock, and the development of a driving model theory is appropriate for deciphering the trajectory of carbon stock evolution and offering research suggestions for other regions.
陆地生态系统是重要的碳汇,对于理解区域和全球碳循环、能量流动和气候变化至关重要。由于土地利用变化是影响生态系统碳储量的重要过程,并且努力实现土地退化中性(LDN),因此研究它对于理解区域碳汇功能的演变和实现可持续发展目标至关重要。研究区域内每个地区的土地利用模式差异巨大,导致碳储量存在显著差异。本研究通过空间分析、InVEST 模型和地理探测,利用土地利用数据探讨了过去 30 年来重庆地区碳储量的演变特征及其驱动机制。结果表明,1990 年至 2020 年,建设用地对土地的需求加剧了重庆的土地退化,但将耕地还林还草的策略提高了林地的碳储量。总体结果是总碳储量减少了 5.1078 太吨或 1.5%。在碳储量演变过程中,碳损失途径的主要途径是耕地向建设用地的转化,主要的碳补偿途径是草地和耕地向林地的转化,其空间分布特征是“整体较高,局部差异明显”。土地利用强度指数对碳储量的演变影响最大。此外,两两因素的相互作用对碳储量演变的影响比每个因素单独作用更为重要。本文的案例研究表明,土地利用变化是碳储量演变的重要驱动机制,发展驱动模型理论适合解析碳储量演变轨迹,为其他地区提供研究建议。