Spatio-temporal Variation in Soil Conservation Service and Its Influencing Factors in the Upper Reaches of the Yellow River

WU Chengyong; CAO Guangchao; CHEN Kelong; BA Dingqiuying; LIU Baokang; WANG Runke; SHI Yaya; E Chongyi

doi:10.13870/j.cnki.stbcxb.2022.04.019

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Spatio-temporal Variation in Soil Conservation Service and Its Influencing Factors in the Upper Reaches of the Yellow River

更新时间：2025-03-12

- Spatio-temporal Variation in Soil Conservation Service and Its Influencing Factors in the Upper Reaches of the Yellow River
- Vol. 36, Issue 4, Pages: 143-150(2022)
- 作者机构：
  
  1. 天水师范学院资源与环境工程学院,甘肃,天水,741001
  2. 青藏高原地表过程与生态保育教育部重点实验室, 青海省自然地理与环境过程重点实验室,西宁,810008
  3. 高原科学与可持续发展研究院,西宁,810008
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2022.04.019
  CLC： S157.2
- Published：2022
- 稿件说明：
移动端阅览
WU Chengyong, CAO Guangchao, CHEN Kelong, et al. Spatio-temporal Variation in Soil Conservation Service and Its Influencing Factors in the Upper Reaches of the Yellow River[J]. 2022, 36(4): 143-150.
DOI：

WU Chengyong, CAO Guangchao, CHEN Kelong, et al. Spatio-temporal Variation in Soil Conservation Service and Its Influencing Factors in the Upper Reaches of the Yellow River[J]. 2022, 36(4): 143-150. DOI： 10.13870/j.cnki.stbcxb.2022.04.019.

摘要

黄河上游地区，横跨干旱、半干旱、半湿润、湿润/半湿润气候区，其土壤保持服务是黄河流域防止水土流失和推动高质量发展的重要保障。基于修正通用土壤流失方程（RUSLE）、地理加权回归（GWR）模型、趋势线法和本文定义的因子影响度等指标方法，使用遥感、降水等数据，识别了黄河上游地区2001—2015年间土壤保持服务变化分区，分析了其时空变化特征，探寻了主导影响因子并量化了影响度。结果表明：（1）土壤保持服务下降区主要位于研究区东北部的半干旱、干旱气候区，集中分布在积石峡至河口村的黄河沿岸，上升区主要位于研究区西部、南部的半干旱、半湿润、湿润/半湿润气候区，集中分布在山地和高原。（2）降水是影响下降区土壤保持服务的主导因子，植被覆盖和降水分别是明显和略微上升区的主导因子。（3）面对未来降水的不确定性，提高植被覆盖度是提升土壤保持服务的根本策略，并进一步提出了基于主导因子影响强度的水土保持措施建议。研究成果可为应对未来气候变化，制定分区分类策略措施提升土壤保持服务提供科学依据。

Abstract

The upper reaches of the Yellow River span arid

semi-arid

sub-humid and humid/semi-humid climate zones. Soil conservation service (SCS) of the region is an important guarantee for preventing soil erosion and promoting high-quality development in the Yellow River Basin. We used the Revised Universal Soil Loss Equation

Geographically Weighted Regression model

trend line method and the factor influence degree defined in this paper

in combination with remote sensing and precipitation data

to identify the change regions of SCS in the upper reaches of Yellow River from 2001 to 2015

to analyzed spatial-temporal variation characteristics of SCS and then identified their influencing factors and quantified its influence degree. The results showed that:(1) The declining area of SCS was mainly located in arid and semi-arid climate region of the northeast parts of the study area

which was mostly concentrated along the Yellow River from Jishi Gorge to Hekou Village. The ascending area of SCS was mainly located in the semi-arid

humid and semi-humid climate region of the west and south of the study area

which was concentrated in mountains and plateaus. (2) Precipitation was the dominant factor affecting SCS in the declining subareas

while vegetation coverage and precipitation was the dominant factors affecting SCS in the significantly and slightly ascending subareas

respectively. (3) Facing the uncertainty in precipitation in the future

improving vegetation coverage was the fundamental strategy to improve SCS

and the suggestions of soil and water conservation measures were also put forwarded according to the influence intensity of dominant factors. Thisstudy could provide a scientific basis for coping with future climate change

formulating zoning and classification strategies and measures and improving soil conservation services.

关键词

Keywords

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