
International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2024, Номер 131, С. 103989 - 103989
Опубликована: Июнь 25, 2024
Excessive nitrogen and phosphorus (N/P) input is the important reason for lake eutrophication, a widespread environmental problem that harms freshwater ecosystems worldwide. Land use land cover changes (LULCCs) strongly affect migration transformation process on of N/P. Aiming to improve accuracy N/P estimation deeply understand spatiotemporal impact LULCCs distribution, this study proposed an optimized framework, InVEST-UM, by integrating unmixing algorithm with conventional InVEST model. A comprehensive intuitive index LPI (LULCCs purification capacity index) developed assessment spatialization. Validation shows strong correlation (0.94) between eutrophication degree Dianshan Lake. This suggests effectively captures influence eutrophication. Based sub-pixel results estimation, dramatic average rate 46.182% were explored. There positive (0.91) vegetation area Conversely, negative relationships are found bare lands (−0.86), artificial surfaces (−0.75). Changes in water bodies have weak (−0.33) capacity. The increase can not only enhance capacity, but also help maintain low ecological sensitivity. By employing provides valuable insights into long-term dynamics their implications ecosystems, could support protection planning sustainability balance lake.
Язык: Английский