| Autor: |
Li, Guanghui, Chang, Yinghui, Zhang, Pengyan, Wang, Qianxu, Chen, Zhuo, Zhang, Xinyue, Xing, Guangrui, Lu, Rong, Li, Mengfan, Gu, Lei |
| Předmět: |
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| Zdroj: |
Environmental Science & Pollution Research; Jun2024, Vol. 31 Issue 30, p42902-42920, 19p |
| Abstrakt: |
Land use changes have profoundly influenced global environmental dynamics. The Yellow River (YR), as the world's fifth-longest river, significantly contributes to regional social and economic growth due to its extensive drainage area, making it a key global player. To ensure ecological stability and coordinate land use demand, modeling the future land allocation patterns of the Yellow River Basin (YRB) will assist in striking a balance between land use functions and the optimization of its spatial design, particularly in water and sand management. In this research, we used a multi-objective genetic algorithm (MOGA) with the PLUS model to simulate several different futures for the YRB's land use between 1990 and 2020 and predict its spatial pattern in 2030. An analysis of the spatiotemporal evolution of land use changes in the YRB indicated that construction land expansion is the primary driver of landscape pattern and structure changes and ecological degradation, with climate change also contributing to the expansion of the watershed area. On the other hand, the multi-scenario simulation, constrained by specific targets, revealed that economic development was mainly reflected in land expansion for construction. At the same time, grassland and woodland were essential pillars to support the region's ecological health, and increasing the development of unused land emerged as a potential pathway towards sustainable development in the region. This study could be used as a template for the long-term growth of other large river basins by elucidating the impacts of human activities on land use and rationalizing land resource allocation under various policy constraints. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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