| 基于InVEST模型的低山丘陵区土壤侵蚀变化与驱动因素分析 |
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| 引用本文： | 韩 晶,崔金芳,杨 威,徐阳吉 哲,秦冬晖,高凤杰.基于InVEST模型的低山丘陵区土壤侵蚀变化与驱动因素分析[J].水土保持研究,2022,29(5):32-39. |
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| 作者姓名： | 韩 晶 崔金芳 杨 威 徐阳吉 哲 秦冬晖 高凤杰 |
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| 作者单位： | (东北农业大学 公共管理与法学院, 哈尔滨 150030) |
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| 摘 要： | 山区最为严峻的生态威胁为土地不合理利用导致的水土流失。为探究山区水土流失时空分布规律及驱动因素,以迁西县为例,利用GIS与InVEST模型定量估算研究区的土壤侵蚀时空变化特征,并通过地理探测器剖析土壤侵蚀的主要驱动因子,以期为区域社会经济与生态环境协调发展提供决策支撑。结果表明:(1)1990年、2000年、2010年与2020年的土壤侵蚀量分别为1.25×107 t,1.41×107 t,1.77×107 t与2.00×107 t,呈不断上升趋势,且在空间上均呈北高南低的分布格局;(2)土地利用类型是土壤侵蚀的最主要驱动因素,工矿用地与未利用地是区域土壤侵蚀风险较高区域,其他因子作用由强至弱依次为坡度、土壤类型、植被覆盖度、降雨;(3)因子间交互作用结果对土壤侵蚀的解释力均大于单一因子的解释力,其中用地类型与其他因子的交互结果对土壤侵蚀的解释力最强。基于以上分析,文章最后提出水土流失治理的措施:加强工矿用地生态修复整治与未利用土地生态保护,植树造林增强其地表植被覆盖度; 控制板栗经济林扩张规模,恢复林下草皮,>25°坡耕地退耕还林还草。
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| 关 键 词： | 土壤侵蚀 InVEST模型 地理探测器 驱动因素 山区 |
Analysis of Soil Erosion Change and Driving Factors in Low Hilly Areas Based on InVEST Model |
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| HAN Jing,CUI Jinfang,YANG Wei,XU Yangji Zhe,QIN Donghui,GAO Fengjie.Analysis of Soil Erosion Change and Driving Factors in Low Hilly Areas Based on InVEST Model[J].Research of Soil and Water Conservation,2022,29(5):32-39. |
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| Authors: | HAN Jing CUI Jinfang YANG Wei XU Yangji Zhe QIN Donghui GAO Fengjie |
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| Affiliation: | (School of PubilcAdminstration and Law, Northeast Agricultural University, Harbin 150030, China) |
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| Abstract: | The most serious ecological threat in mountainous areas is soil erosion caused by unreasonable land use. In order to explore the temporal and spatial distribution pattern and driving factors of soil and water loss in mountainous areas, taking Qianxi County as an example, we used GIS and InVEST model to quantitatively estimate the temporal and spatial variation characteristics of soil erosion in the study area, and analyzed the main driving factors of soil erosion through geographical detectors, so as to provide decision support for the coordinated development of regional social economy and ecological environment. The results show that:(1)the amount of soil erosion in 1990, 2000, 2010 and 2020 were 1.25×107 t, 1.41×107 t, 1.77×107 t and 2.00×107 t, respectively, showing a rising trend, and the spatial distribution pattern was high in the north and low in the south;(2)land use type was the most important driving force for soil erosion; industrial and mining land and unused land were regions with higher soil erosion risk; the effects of other factors from strong to weak were slope, soil type, vegetation coverage and rainfall;(3)the effects of interaction between factors on soil erosion were greater than that of single factor, and the interaction between land use type and other factors had the strongest effects on soil erosion. Based on the above analysis, we finally put forward the measures of soil erosion control: strengthening the ecological restoration of industrial and mining land and the ecological protection of unused land, afforestation to enhance the surface vegetation coverage, controlling the expansionscale of chestnut economic forest, restoring the undergrowth turf and returning farmland toforestland and grassland on slopping land with over 25°. |
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| Keywords: | soil erosion InVEST model geographical detector driving factors mountain area |
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