重庆市土壤保持服务空间分布及影响因素分析
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S157

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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)


Spatial distribution and influencing factors analysis of soil conservation services in Chongqing
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General project of Chongqing Natural Science Foundation (cstc2019jcyj-msxmX0626);Chongqing Jiaotong University Graduate Research and Innovation Project(CYS21362)

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    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。本文首先基于RUSLE模型和InVEST模型估算研究区土壤侵蚀量,进而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:1)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/(hm2?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/(hm2?a),精度较高;2)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;3)影响土壤保持服务的气候因素主要为降水和气温,影响土壤保持服务的景观指数主要为蔓延度指数、景观分割度、分离度指数和香农均匀度指数。研究结果可为生态系统服务的可持续发展提供科学依据。

    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.

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邵志豪,牟凤云,黄淇,等. 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.
Shao Zhihao, Mu Fengyun, Huang Qi, et al. Spatial distribution and influencing factors analysis of soil conservation services in Chongqing[J]. Science Technology and Engineering,2023,23(1):100-108.

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  • 收稿日期:2022-04-03
  • 最后修改日期:2022-09-06
  • 录用日期:2022-09-18
  • 在线发布日期: 2023-01-18
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