Spatiotemporal evolution of farmland ecosystem stability in the Fenhe River Basin China based on perturbation-resistance-response framework

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 102977 - 102977

Опубликована: Янв. 1, 2025

Язык: Английский

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Dynamic changes and prediction of land-use patterns in a typical area for rocky desertification control

Frontiers in Ecology and Evolution, Год журнала: 2025, Номер 13

Опубликована: Март 13, 2025

Introduction Rocky desertification poses a significant ecological challenge globally, leading to ecosystem degradation and diminished land resources. Consequently, it causes substantial changes in land-use patterns, hindering regional sustainable development. Methods This research focuses on Bijie City, Guizhou Province, China, region severely affected by rocky desertification. Using use/cover data relevant driving-factor from 1990 2022, employing methods such as spatial pattern analysis, we comprehensively analyze land-use/cover change (LUCC) characteristics over time predict patterns under three scenarios for 2030. Results The key findings are: (1) City has diverse types. Cropland forest together comprise nearly 90% of the total area, exhibiting distinct distributions. (2) During control period (1990–2020), cropland, shrubland, grassland areas decreased, while area increased. Conversion these types was primary driver LUCC. Landscape fragmentation environment significantly improved. (3) Projections indicate that focusing solely governance (Scenario 1) or cultivated-land protection 2) is insufficient. Scenario 3, integrating protection, optimal. By 2030, cropland projected increase rationally 307.51 km2, with some forest, converting cropland. will be main feature future LUCC, safeguarding food security enhancing quality. Discussion In conclusion, efforts 2020 have profoundly impacted City’s patterns. Future must prioritize coordinated cultivated protection. study provides crucial theoretical support management planning, promoting harmonious economic

Язык: Английский

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Quantifying and revealing cultivated land ecological compensation performance: A machine learning-based approach

Environmental Impact Assessment Review, Год журнала: 2025, Номер 115, С. 108016 - 108016

Опубликована: Май 26, 2025

Язык: Английский

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