Fu Chun, Xiang Libin, Liu Yezhong, Zhou Tianming
School of Infrastructure Engineering, Nanchang University, Nanchang, 330031, China.
Jiangxi Institute of Regional Economy, Nanchang University, Nanchang, 330031, China.
Sci Rep. 2025 Aug 12;15(1):29599. doi: 10.1038/s41598-025-12965-w.
In recent decades, accelerated economic growth has positioned non-point source pollution as a critical threat to China's ecological security. Jiangxi Province, a pivotal ecological barrier in the middle-lower Yangtze River Basin, confronts escalating challenges in mitigating nitrogen pollution. This study systematically examined spatiotemporal land use dynamics in Jiangxi from 2000 to 2020 through statistical analysis and transition matrices, followed by multi-scenario projections (natural development, ecological conservation, and urban expansion) for 2030 using the Patch-generating Land Use Simulation (PLUS) model. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was subsequently employed to simulate historical and scenario-based nitrogen emissions, while an optimal parameter geographical detector quantified driving mechanisms. Results revealed that 2,588 km of cultivated and forest land was converted to construction land during 2000-2020. By 2030, the natural development scenario maintained historical trends, while the ecological protection scenario slowed construction land growth and increased ecological land area. Conversely, urban expansion intensified built-up land sprawl. Total nitrogen emissions initially rose then declined during 2000-2020, spatially characterized by localized growth in northern urban clusters and large-scale reductions in central-northern cropland emissions. Projected emissions for 2030 under natural development, ecological protection, and urban sprawl scenarios reached 5.05 × 10 tons, 4.59 × 10 tons, and 5.02 × 10 tons, respectively. Cultivated land use intensity (X6) emerged as the dominant driver of spatial heterogeneity (highest q-value), while its interaction with the human footprint index (X10) exhibited the strongest explanatory power. This study provides actionable insights for optimizing land use patterns and mitigating nitrogen pollution in Jiangxi Province.
近几十年来,经济的加速增长使非点源污染成为中国生态安全的重大威胁。江西省作为长江中下游流域的关键生态屏障,在减轻氮污染方面面临着日益严峻的挑战。本研究通过统计分析和转移矩阵系统地考察了2000年至2020年江西省土地利用的时空动态变化,随后利用斑块生成土地利用模拟(PLUS)模型对2030年进行了多情景预测(自然发展、生态保护和城市扩张)。随后采用生态系统服务和权衡综合评估(InVEST)模型模拟历史和情景氮排放,同时利用最优参数地理探测器量化驱动机制。结果表明,2000年至2020年期间,2588公里的耕地和林地转变为建设用地。到2030年,自然发展情景保持历史趋势,而生态保护情景减缓了建设用地增长并增加了生态用地面积。相反,城市扩张加剧了建成区蔓延。2000年至2020年期间,总氮排放量先上升后下降,空间上表现为北部城市群局部增长以及中北部农田排放量大幅减少。2030年自然发展、生态保护和城市蔓延情景下的预测排放量分别达到5.05×10吨、4.59×10吨和5.02×10吨。耕地利用强度(X6)成为空间异质性的主要驱动因素(q值最高),而其与人类足迹指数(X10)的相互作用具有最强的解释力。本研究为优化江西省土地利用模式和减轻氮污染提供了可操作的见解。