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重庆市土壤保持服务空间分布及影响因素分析
引用本文:邵志豪,牟凤云,黄淇,李秋彦,汪孝之.重庆市土壤保持服务空间分布及影响因素分析[J].科学技术与工程,2023,23(1):100-108.
作者姓名:邵志豪  牟凤云  黄淇  李秋彦  汪孝之
作者单位:重庆交通大学智慧城市学院
基金项目:重庆市自然科学基金面上项目(cstc2019jcyj-msxmX0626);重庆交通大学研究生科研创新项目(CYS21362)
摘    要:土壤保持服务能够削弱和改善土壤侵蚀,对其空间分布特征及影响因素进行分析,可提高土壤保持能力,减少区域水土流失。首先,基于修正通用土壤流失方程(revised universal soil loss equation, RUSLE)模型和生态系统服务和交易的综合评估(integrated valuation of ecosystem services and trade-offs, InVEST)模型估算研究区土壤侵蚀量;其次,选用精度更高的土壤侵蚀估算模型评价研究区土壤保持服务;最后,采用多元线性回归、地理探测器等方法探讨影响研究区土壤保持服务空间分布的主要因素。结果表明:RUSLE模型估算结果与研究区实际土壤侵蚀模数差值为201.02 t/(km2?a),精度较低,InVEST模型估算结果与研究区实际土壤侵蚀模数差值为33.11 t/(km2?a),精度较高;研究区土壤保持总量为13.01×108 t,其中土壤保持能力较强的区域在研究区东北以及西南方向,而研究区西部、中部和东南部土壤保持能力较弱;影响土壤保持服务的气候...

关 键 词:RUSLE  InVEST  多元线性回归  地理探测器  土壤保持服务
收稿时间:2022/4/3 0:00:00
修稿时间:2022/9/6 0:00:00

Spatial distribution and influencing factors analysis of soil conservation services in Chongqing
Shao Zhihao,Mu Fengyun,Huang Qi,Li Qiuyan,Wang Xiaozhi.Spatial distribution and influencing factors analysis of soil conservation services in Chongqing[J].Science Technology and Engineering,2023,23(1):100-108.
Authors:Shao Zhihao  Mu Fengyun  Huang Qi  Li Qiuyan  Wang Xiaozhi
Institution:Smart City College,Chongqing Jiaotong University
Abstract:Soil conservation services can weaken and improve soil erosion, and by analyzing its spatial distribution characteristics and influencing factors, it can improve soil conservation capacity and reduce regional soil erosion. This paper firstly estimates the amount of soil erosion in the study area based on the RUSLE model and the InVEST model, and then selects a soil erosion estimation model with higher accuracy to evaluate the soil conservation service in the study area. The main factor of spatial distribution. The results show that: 1) The difference between the estimated results of the RUSLE model and the actual soil erosion modulus in the study area is 201.02 t/(hm2?a), which is of low precision. The difference between the estimated results of the InVEST model and the actual soil erosion modulus in the study area is 33.11 t /(hm2?a), with high precision; 2) The total soil conservation in the study area is 13.01×108 t, and the areas with stronger soil conservation ability are in the northeast and southwest of the study area, while the soil in the west, central and southeast of the study area is The retention capacity is weak; 3) The climatic factors affecting soil conservation services are mainly precipitation and temperature, and the landscape indices affecting soil conservation services are mainly sprawl index, landscape segmentation degree, separation index and Shannon uniformity index. The research results can provide a scientific basis for the sustainable development of ecosystem services.
Keywords:RUSLE  InVEST  Multiple Linear Regression  Geodetector  Soil Conservation Services
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