PDF Download

[1]WANG Lu,GAO Jianen,LONG Shaobo,et al.Temporal and Spatial Variation of Soil Conservation Function and Its Driving Factors in Typical Reclamation Stage in Yanhe River Basin[J].Research of Soil and Water Conservation,2023,30(03):94-102.[doi:10.13869/j.cnki.rswc.2023.03.049]

Copy

Temporal and Spatial Variation of Soil Conservation Function and Its Driving Factors in Typical Reclamation Stage in Yanhe River Basin

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 03 Page number: 94-102 Column: Public date: 2023-04-10

Title:: Temporal and Spatial Variation of Soil Conservation Function and Its Driving Factors in Typical Reclamation Stage in Yanhe River Basin

Author(s):: WANG Lu¹, GAO Jianen^1,2,3, LONG Shaobo¹, WANG Zhaorun¹, KANG Youcai², GAO Zhe⁴, GUO Zihao⁵; (1.Institute of Soil and Water Conservation,Northwest A&F University,Yangling,Shaanxi 712100,China; 2.Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources,Yangling,Shaanxi 712100,China; 3.Research Center on Soil & Water Conservation,Ministry of Water Resources,Yangling,Shaanxi 712100,China; 4.College of Water Resources and Architectural Engineering,Northwest A&F University,Yangling,Shaanxi 712100,China; 5.Power China Huadong Engineering......)

Keywords:: soil conservation function; temporal and spatial variation; InVEST model; reclamation stage

CLC:: S157.2

DOI:: 10.13869/j.cnki.rswc.2023.03.049

Abstract:: [Objective]It is important to explore the temporal and spatial changes of soil conservation function and driving factors in the Loess Plateau under the typical management such as returning farmland to forest(grassland)and gully land consolidation project, so as to guide the further development of the Loess Plateau. [Methods] Soil conservation function in typical reclamation stage in this basin by constructing the InVEST ecosystem service function model and geographic detector method in Yanhe River Basin. [Results](1)In terms of time change, compared with the period before returning farmland to forest(1990—2000), the annual average soil conservation amount increased by 32.29% and 55.61% during the period of returning farmland to forest(2000—2010)and the period of returning farmland to forest+gully land consolidation project(2010—2017), respectively, with an annual average increase of 4.92×10⁶t.(2)In terms of spatial distribution, the increasing area of forest and grass lands and gully land was consistent with the increasing area of soil conservation, gully land consolidation project improved the overall soil conservation capacity of cultivated land in Yanhe River Basin, and the soil conservation capacity per unit land reclamation area increased by 7 t/hm². The amount of soil conservation increased first and then decreased with the increase of slope and elevation, and the proportion of total amount of soil conservation to total amount of soil conservation was higher in the slope ranging from 15°to 25°at altitude ranging from 1 200 m to 1 500 m. [Conclusions] The change of land use type was the main driving factor affecting the spatial distribution pattern of soil conservation. The analysis of the driving factors of the temporal and spatial changes of soil conservation function in the Yanhe River Basin can provide scientific support for improvement of ecological services on the Loess Plateau.

References:: [1] Deng L, Shangguan Z P. High quality developmental approach for soil and water conservation andecological protection on the loess plateau[J]. Front. Agr. Sci. Eng., 2021,8(4):501-511.
[2] 刘国彬,上官周平,姚文艺,等.黄土高原生态工程的生态成效[J].中国科学院院刊,2017,32(1):11-19.
[3] 李相儒,金钊,张信宝,等.黄土高原近60年生态治理分析及未来发展建议[J].地球环境学报,2015,6(4):248-254.
[4] Ren M. Sediment discharge of the Yellow River, China:Past, present and future-A synthesis[J]. Acta Oceanologica Sinica, 2015,34(2):1-8.
[5] 余新晓,吴岚,饶良懿,等.水土保持生态服务功能评价方法[J].中国水土保持科学,2007,5(2):110-113.
[6] 冯磊,王治国,孙保平,等.黄土高原水土保持功能的重要性评价与分区[J].中国水土保持科学,2012,10(4):16-21.
[7] 宁婷,郭新亚,荣月静,等.基于RUSLE模型的山西省生态系统土壤保持功能重要性评估[J].水土保持通报,2019,39(6):205-210.
[8] 孙文义,邵全琴,刘纪远.黄土高原不同生态系统水土保持服务功能评价[J].自然资源学报,2014,29(3):365-376.
[9] 王森.延安市土地利用变化及其土壤保持功能效应研究[D].北京:中国科学院大学(中国科学院教育部水土保持与生态环境研究中心),2018.
[10] 张琨,吕一河,傅伯杰.黄土高原典型区植被恢复及其对生态系统服务的影响[J].生态与农村环境学报,2017,33(1):23-31.
[11] 杨殊桐,时鹏,李占斌,等.大理河流域退耕还林工程对生态系统服务功能的影响[J].水土保持研究,2018,25(6):251-258.
[12] 包玉斌,黄涛,吕林涛.陕北黄土高原实施退耕还林还草工程后的土壤保持效应[J/OL].宁夏大学学报:自然科学版:1-8[2022-05-07].
[13] 薛亚永,王晓峰.黄土高原森林草原区退耕还林还草土壤保持效应评估[J].干旱地区农业研究,2017,35(5):122-128.
[14] 刘宥延,刘兴元,张博,等.黄土高原丘陵区人工灌草生态系统水土保持功能评估[J].水土保持学报,2020,34(3):84-90,97.
[15] 于浩.基于时间序列的延河流域水沙周期分析及趋势预测[D].陕西杨凌:西北农林科技大学,2008.
[16] 王飞,穆兴民,焦菊英,等.基于含沙量分段的人类活动对延河水沙变化的影响分析[J].泥沙研究,2008(4):8-13.DOI: 10.16239/j.cnki.0468-155x.2008.04.003.
[17] 王志杰.延河流域植被与侵蚀产沙特征研究[D].北京:中国科学院研究生院(教育部水土保持与生态环境研究中心),2014.
[18] 王森,王海燕,谢永生,等.延安市退耕还林前后土壤保持生态服务功能评价[J].水土保持研究,2019,26(1):280-286.
[19] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[20] 付含培,王让虎,王晓军.1999—2018年黄河流域NDVI时空变化及驱动力分析[J].水土保持研究,2022,29(2):145-153,162.
[21] 郭帅,裴艳茜,胡胜,等.黄河流域植被指数对气候变化的响应及其与水沙变化的关系[J].水土保持通报,2020,40(3):1-7,13.
[22] 汤巧英,戚德辉,宋立旺,等.基于GIS和RS的延河流域植被覆盖度与地形因子的相关性研究[J].水土保持研究,2017,24(4):198-203.
[23] 章文波,付金生.不同类型雨量资料估算降雨侵蚀力[J].资源科学,2003,25(1):35-41.
[24] Williams J R, Jones C A, Dyke P T. Modeling approach to determining the relationship between erosion and soil productivity [J]. Transactions of the American Society of Agricultural Engineers, 1984,27(1):129-144.
[25] Desmet P J J, Govers G. A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units[J]. Journal of Soil and Water Conservation, 1996,51(5):427-433.
[26] Liu H, Gong P, Wang J, et al. Annual dynamics of global land cover and its long-term changes from 1982 to 2015[J]. Earth Syst. Sci. Data, 2020,12:1217-1243.
[27] Van Leeuwen W J D, Sammons G. Vegetation dynamics and erosion modeling using remotely sensed data(MODIS)and GIS[C]//Tenth Biennial Usda Forest Service Remote Sensing Applications Conference. Salt Lake City, Ut:Us Department of Agriculture Forest Service Remote Sensing Applications Center, 2004:5-9.
[28] Lufafa A, Tenywa M M, Isabirye M, et al. Prediction of soil erosion in a Lake Victoria basin catchment using GIS based Universal Soil Loss model[J]. Agricultural Systems, 2003,76:883-984.
[29] 钟德燕.基于USLE模型的黄土丘陵沟壑区土壤侵蚀研究[D].陕西杨凌:西北农林科技大学,2012.
[30] 闫瑞,张晓萍,李够霞,等.基于RUSLE的北洛河上游流域侵蚀产沙模拟研究[J].水土保持学报,2017,31(4):32-37.
[31] 秦伟,朱清科,张岩.基于GIS和RUSLE的黄土高原小流域土壤侵蚀评估[J].农业工程学报,2009,25(8):157-163,4.
[32] 龚珺夫,李占斌,李鹏,等.基于SWAT模型的延河流域径流侵蚀能量空间分布[J].农业工程学报,2017,33(13):120-126.
[33] Kang Y, Shao H, Zhang Y, et al. Evaluating the flow and sediment effects of gully land consolidation on the Loess Plateau, China[J]. Journal of Hydrology, 2021,600:126535.
[34] 李智广.水土流失测验与调查[M].北京:中国水利水电出版社,2005.
[35] 贾振宇,王世曦,刘学,等.辽河保护区土壤保持功能时空变化及其影响因素分析[J].环境工程技术学报,2021,11(4):686-692.
[36] 薛亚永,王晓峰.黄土高原森林草原区退耕还林还草土壤保持效应评估[J].干旱地区农业研究,2017,35(5):122-128.

Similar References:

Memo

Last Update: 2023-04-10