Land, Год журнала: 2025, Номер 14(5), С. 920 - 920
Опубликована: Апрель 23, 2025
Excessive human activities associated with rapid industrialization and urbanization have exerted tremendous pressure on limited land resources. Scientific use planning is essential for attaining sustainable development. This study focuses multi-objective optimization in Xinjiang, China’s largest arid region, targeting the dual goals of maximizing ecosystem services economic benefits. The non-dominated sorting genetic algorithm II (NSGA-II) future simulation (FLUS) model are integrated innovatively to explore optimal terms both quantity spatial distribution. Four distinct development scenarios predefined compared: natural development, ecological preservation, main results as follows: (1) fragile Xinjiang has been under during past 40 years. predominant pattern transition was increase construction (+115.66%) cultivated (+47.18%) at expense grassland (−5.48%) forest (−4.15%), which hold substantial significance. (2) Among these scenarios, scenario considered more favorable due its ability balance preservation All ecologically valuable lands will certain degrees growth, whereas expansion scale be effectively controlled. (3) lack high-quality unpredictability water resources two major obstacles implementing this scenario. To overcome them, government should provide policy financial support restricting expansion, exploiting unused land, strengthening conservation. contributes formulating effective strategies multiple conflicting ultimately achieving economy ecology well other similar regions.
Язык: Английский