基于RSEI的黑龙江勒拿河流域生态环境质量及驱动力监测
RSEI-based monitoring of eco-environmental quality and driving forces in the Heilongjiang-Lena River Basin.
摘要(中文译文)
黑龙江—勒拿河流域是横跨中国东北与俄罗斯远东地区的重要高纬度跨境流域，是气候变化背景下典型的寒区系统。然而，针对此类气候敏感流域生态环境动态及其多因子驱动机制的长期评估仍较为有限。本研究利用2000—2024年多源遥感数据，构建遥感生态指数（RSEI），并集成Sen趋势分析、Mann-Kendall检验和优化后的地理探测器模型，以探究生态环境质量的时空格局及其驱动力。RSEI均值为0.522~0.662，表明总体保持稳定，其中61.37%的区域无显著变化，22.45%的区域改善，16.18%的区域退化。研究区呈现持续的南北梯度特征，表现为北部条件相对较好、南部数值相对较低。气温是主导驱动因子，其次为土地利用和植被覆盖，并表现出显著的非线性增强效应，尤其是气温与土地利用之间。政策干预促进了中国部分地区的生态恢复，而冻土退化和森林火灾则导致俄罗斯一侧出现环境波动。总体而言，该流域尽管存在局部脆弱性，但仍表现出较强的韧性。RSEI—地理探测器集成框架为高纬度和跨境生态系统的长期监测与治理提供了可推广的见解。
Abstract
The Heilongjiang-Lena River Basin is a major high-latitude transboundary watershed spanning northeastern China and the Russian Far East, representing a typical cold-region system under climate change. However, long-term assessments of eco-environmental dynamics and their multi-factor driving mechanisms in such climate-sensitive basins remain limited. Using multi-source remote sensing data from 2000 to 2024, this study constructed a Remote Sensing Ecological Index (RSEI) and integrated Sen's trend analysis, the Mann-Kendall test, and an optimized Geodetector model to examine spatiotemporal patterns and driving forces of eco-environmental quality. The mean RSEI ranged from 0.522 to 0.662, indicating overall stability, with 61.37% of the area showing no significant change, 22.45% improvement, and 16.18% degradation. A persistent north-south gradient was observed, characterized by relatively better conditions in the north and comparatively lower values in the south. Temperature emerged as the dominant driver, followed by land use and vegetation cover, with pronounced nonlinear enhancement effects-particularly between temperature and land use. Policy interventions contributed to ecological restoration in parts of China, while permafrost degradation and forest fires induced environmental fluctuations in the Russian sector. Overall, the basin exhibits considerable resilience despite localized vulnerabilities. The integrated RSEI-Geodetector framework provides transferable insights for long-term monitoring and governance of high-latitude and transboundary ecosystems.
如何引用
AMA
Zier Li, Mingchang Wang, Lai Wei, Fengyan Wang, Youli Ma, Hongchao Fan. RSEI-based monitoring of eco-environmental quality and driving forces in the Heilongjiang-Lena River Basin.. Environmental monitoring and assessment. 2026; doi:10.1007/s10661-026-15350-w.
APA
Zier Li, Mingchang Wang, Lai Wei, Fengyan Wang, Youli Ma, Hongchao Fan (2026). RSEI-based monitoring of eco-environmental quality and driving forces in the Heilongjiang-Lena River Basin.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15350-w
GB/T 7714
Zier Li, Mingchang Wang, Lai Wei, Fengyan Wang, Youli Ma, Hongchao Fan. RSEI-based monitoring of eco-environmental quality and driving forces in the Heilongjiang-Lena River Basin.[J]. Environmental monitoring and assessment, 2026 doi:10.1007/s10661-026-15350-w.
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