伊犁河-巴尔喀什湖流域土地覆被变化模拟与预测

    Simulation and prediction of land cover change in Ili River-Balkhash Lake Basin

    • 摘要: 合理调控土地覆被对协调水资源分配与区域经济发展具有重要意义。伊犁河-巴尔喀什湖流域受气候变化和人类活动的共同影响,土地覆被类型发生显著变化。基于1992~2019年土地覆被数据,分析了该流域土地覆被的时空变化特征及其驱动因素,并采用PLUS模型(Patch-generating Land Use Simulation Model)预测了未来不同情景下的土地覆被类型。结果表明:研究区历史时期主要土地覆被类型为林地、草原和裸地,其中耕地与城市用地面积持续增加,裸地面积则不断减少;以2019年土地覆被数据为基准对PLUS模型进行验证,总体精度和Kappa系数分别为0.762和0.718,表明模型模拟效果较好;不同情景下土地覆被类型呈现明显差异的转化格局,生态优先情景下人类活动影响受到有效约束,植被覆盖区与湿地沼泽面积显著增加,而自然发展与人类活动情景下的转化趋势较为相似,但人类活动情景中地类转化更为剧烈,不利于区域的可持续发展。研究成果可为面向不同发展目标的流域国土资源优化配置与水资源管理提供参考。

       

      Abstract: The Ili River-Balkhash Lake Basin is affected by both climate change and human activities, and its land cover types have undergone significant changes.Rational management of land cover is of great significance for coordinating water resource allocation and regional economic development.Based on land cover data from 1992 to 2019, this study analyzed the spatiotemporal characteristics and driving factors of land cover changes in the basin.A PLUS model (Patch-generating Land Use Simulation Model) was then used to predict future land cover types under different scenarios.The results indicated that the main land cover types in the study area during the historical period were forestland, grassland, and bare land.Among them, the area of cropland and urban land continuously increased, while the area of bare land continuously decreased.The PLUS model was validated using 2019 land cover data as a reference, with an overall accuracy and Kappa coefficient of 0.762 and 0.718, respectively, indicating good model simulation performance.Under different scenarios, land cover types exhibited significantly different transformation patterns.Under the ecological priority scenario, the impact of human activities was effectively constrained, leading to a significant increase in vegetation cover and wetland/swamp areas.The transformation trends under the natural development and human activity scenarios were relatively similar, but land cover transformation was more intense under the human activity scenario, which was unfavorable for regional sustainable development.The conclusions of this study can provide a scientific basis for optimizing the allocation of land resources and water resource management in the basin to achieve different development objectives.

       

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