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中国南方赣江流域中上游土地利用变化的空间异质性及驱动因素

Spatial heterogeneity and driving factors of land use change in the middle and upper reaches of Ganjiang River, southern China.

作者信息

Liu Guang-Xu, Wang Xiao-Jun, Xiang Ai-Cun, Wang Xue-Ran, Wang Bing-Xiang, Xiao Shu-Mei

机构信息

School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou 341000, Jiangxi, China.

School of Geographi-cal Sciences, South China Normal University, Guangzhou 510631, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2021 Jul;32(7):2545-2554. doi: 10.13287/j.1001-9332.202107.016.

Abstract

The middle and upper reaches of Ganjiang River is an important functional area for soil and water conservation in the southeastern hills of China. It is important to analyze the land use change and their driving forces at different spatial and temporal scales to maintain and optimize the local ecological functions. We analyzed the land use structure and land use dynamics in the middle and upper reaches of Ganjiang River from 1980-2018 based on 1 km spatial resolution land use data, and analyzed the spatial heterogeneity and driving factors of land use change using principal component analysis (PCA), ordinary least squares (OLS) and geographically weighted regression (GWR). From 1980-2018, the main land use types in the study area were forests (proportion 69.4%-71%) and cultivated land (proportion 20.8%-20.9%). Land use dynamic degree of build-up land and unused land were larger, and the comprehensive land use dynamic degree gradually increased, especially in 2010-2018. The GWR model had a better fitting effect on the analysis of land use change drivers, which was better in 98.6% of the area. Among the influencing factors of the spatial heterogeneity of land use change in the study area, the natural environment factors were the most obvious, with a restrictive role. The socio-economic factors were the secondary in importance, with a promoting role. The comprehensive influence of natural and social factors were weak and complex.

摘要

赣江中下游是中国东南丘陵地区重要的水土保持功能区。分析不同时空尺度下的土地利用变化及其驱动力,对于维持和优化当地生态功能具有重要意义。基于1公里空间分辨率的土地利用数据,我们分析了1980 - 2018年赣江中下游的土地利用结构和土地利用动态,并运用主成分分析(PCA)、普通最小二乘法(OLS)和地理加权回归(GWR)分析了土地利用变化的空间异质性和驱动因素。1980 - 2018年,研究区主要土地利用类型为林地(比例69.4% - 71%)和耕地(比例20.8% - 20.9%)。建设用地和未利用地的土地利用动态度较大,综合土地利用动态度逐渐上升,尤其是在2010 - 2018年。GWR模型对土地利用变化驱动因素的分析拟合效果较好,在98.6%的区域表现更佳。在研究区土地利用变化空间异质性的影响因素中,自然环境因素最为明显,起限制作用。社会经济因素次之,起促进作用。自然和社会因素的综合影响较弱且复杂。

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