| 黄河上游地区土壤保持服务时空变化及归因 |
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| 引用本文： | 吴成永,曹广超,陈克龙,巴丁求英,刘宝康,王润科,石亚亚,鄂崇毅.黄河上游地区土壤保持服务时空变化及归因[J].水土保持学报,2022,36(4):143-150. |
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| 作者姓名： | 吴成永 曹广超 陈克龙 巴丁求英 刘宝康 王润科 石亚亚 鄂崇毅 |
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| 作者单位： | 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 |
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| 基金项目： | 国家社会科学基金项目（14XMZ072，18BJY200）；国家自然科学基金项目（41761017，41661023）；甘肃省自然科学基金项目（21JR1RE293） |
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| 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。
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| 关 键 词： | 黄河上游地区 土壤保持服务 主导因子 修正通用土壤流失方程 地理加权回归模型 |
| 收稿时间： | 2022/1/11 0:00:00 |
Spatio-temporal Variation in Soil Conservation Service and Its Influencing Factors in the Upper Reaches of the Yellow River |
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| WU Chengyong,CAO Guangchao,CHEN Kelong,BA Dingqiuying,LIU Baokang,WANG Runke,SHI Yay,E Chongyi.Spatio-temporal Variation in Soil Conservation Service and Its Influencing Factors in the Upper Reaches of the Yellow River[J].Journal of Soil and Water Conservation,2022,36(4):143-150. |
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| Authors: | WU Chengyong CAO Guangchao CHEN Kelong BA Dingqiuying LIU Baokang WANG Runke SHI Yay E Chongyi |
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| Institution: | 1. School of Resources and Environmental Engineering, Tianshui Normal University, Tianshui, Gansu 741001;2. Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Key Laboratory of Physical Geography and Environmental Process, Xining 810008;3. Academy of Plateau Science and Sustainability, Xining 810008 |
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| 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. |
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| Keywords: | the upper reaches of the Yellow River soil conservation service dominant factor Revised Universal Soil Loss Equation Geographically Weighted Regression Model |
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