PDF Download

[1]LYU Tiantian,CHEN Yanmei,SONG Ting,et al.Spatiotemporal Pattern of Soil and Water Conservation Functions and Human Driving Forces in the Ecological Supporting Area of Xiong'an[J].Research of Soil and Water Conservation,2022,29(01):319-325.

Copy

Spatiotemporal Pattern of Soil and Water Conservation Functions and Human Driving Forces in the Ecological Supporting Area of Xiong'an

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 01 Page number: 319-325 Column: Public date: 2022-02-20

Title:: Spatiotemporal Pattern of Soil and Water Conservation Functions and Human Driving Forces in the Ecological Supporting Area of Xiong'an

Author(s):: LYU Tiantian¹, CHEN Yanmei¹, SONG Ting², DING Jianghui¹, ZHANG Yang¹, LIU Minghua¹; (1.College of Resources and Environmental Sciences, Hebei Normal University, Hebei Technology Innovation Center for Remote Sensing Identification of Environmental, Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China; 2.State Environmental Protection Key Laboratory of Regional Eco-Process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

Keywords:: ecological supporting area of Xiong'an; soil and water conservation function; spatiotemporal pattern; human driving forces

CLC:: S157

DOI:: -

Abstract:: Soil and water conservation is one of the important functions of the ecosystem, which is related to the regional ecological security and water environment quality. Based on the Universal Soil Loss Equation(RUSLE), the soil and water conservation function of the ecological supporting area in Xiong'an from 2000 to 2018 was evaluated, then the function pattern and its human driving forces were analyzed. The results show that:(1)the soil and water conservation function presented a spatial pattern with the high level in the west and low level in the east, with a multi-year average value of 191.10 t/(hm²·a)in the Taihang Mountains, 119.25 t/(hm²·a)in the central hills, and 30.25 t/(hm²·a)in the eastern plain;(2)from 2000 to 2018, the function of soil and water conservation showed an increasing trend in the study area, and varied from 39.78 t/(hm²·a)to 135.62 t/(hm²·a); on the pixel scale, the area with the enhanced soil and water conservation function accounted for 63.89% of the study area, of which 28.75% passed the significance test; while the area with a degraded tendency accounted for 36.11%, of which 8.2% passed the significant test;(3)based on the analysis of typical soil and water conservation function areas in the Xiong'an New District, it was found that the human driving forces of the variety function of soil and water conservation mainly included the ecological construction, agricultural production, construction land expansion, and mining industry disturbing ecosystem stability. This study can offer the scientific basis for determining ecological protection and restoration priorities and improving the ecological environment quality in the ecological supporting area of the Xiong'an New District.

References:: [1] 彭建,李慧蕾,刘焱序,等.雄安新区生态安全格局识别与优化策略[J].地理学报,2018,73(4):701-710.
[2] 申嘉澍,梁泽,刘来保,等.雄安新区生态系统服务簇权衡与协同[J].地理研究,2020,39(1):79-91.
[3] 王效科,欧阳志云,肖寒,等.中国水土流失敏感性分布规律及其区划研究[J].生态学报,2001,21(1):14-19.
[4] Costanza R, Arge R, Groot R, et al. The value of the world's ecosystem services and natural capital[J]. Ecological Economics, 1998,25(1):3-15.
[5] 刘月,赵文武,贾立志.土壤保持服务:概念、评估与展望[J].生态学报,2019,39(2):432-440.
[6] 于兴修,杨桂山.通用水土流失方程因子定量研究进展与展望[J].自然灾害学报,2003,12(3):14-18.
[7] 周夏飞,马国霞,曹国志,等.基于USLE模型的2001—2015年江西省土壤侵蚀变化研究[J].水土保持通报,2018,38(1):8-11,17.
[8] 陈永宝,黄传伟,陈志伟,等. USLE在我国的应用和发展[J].中国水土保持,2003,11(10):15-17.
[9] Wischmeier W H, Smith D D. Predicting rainfall erosion losses:A guide to conservation planning [M]. Washington D C: USDA Agriculture Handbook, 1978.
[10] Terranova O, Antronico L, Coscarelli R, et al. Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS:an application model for Calabria(southern Italy)[J]. Geomorphology, 2009,112(3/4):228-245.
[11] Soyoung P, Cheyoung O, Seongwoo J, et al. Soil erosion risk in Korean watersheds, assessed using the revised universal soil loss equation[J]. Journal of Hydrology, 2011,399(3/4):263-273.
[12] Khalid C. Estimation of soil loss using RUSLE model for Sebou watershed(Morocco)[J]. Modeling Earth Systems and Environment, 2016,2(2):1-10.
[13] 王万中,焦菊英,郝小品,等.中国降雨侵蚀力R值的计算与分布(Ⅰ)[J].水土保持学报,1995,9(4):5-18.
[14] 毕小刚,段淑怀,李永贵,等.北京山区土壤流失方程探讨[J].中国水土保持科学,2006,4(4):6-13.
[15] 宁婷,桑满杰,郭新亚,等.山西省2000—2016年降雨侵蚀力时空分布特征[J].中国水土保持科学,2020,18(1):1-7.
[16] 高江波,周巧富,常青,等.基于GIS和土壤侵蚀方程的农业生态系统土壤保持价值评估:以京津冀地区为例[J].北京大学学报:自然科学版,2009,45(1):151-157.
[17] 王娇,程维明,祁生林,等.基于USLE和GIS的水土流失敏感性空间分析:以河北太行山区为例[J].地理研究,2014,33(4):614-624.
[18] 王婷,郑帅霖,李深泉,等.晋北地区土壤保持量时空变化特征研究[J].干旱区资源与环境,2018,32(7):188-195.
[19] 周来,李艳洁,孙玉军.修正的通用土壤流失方程中各因子单位的确定[J].水土保持通报,2018,38(1):169-174.
[20] 温天福,张范平,胡建民,等.1958—2014年赣江流域降雨侵蚀力时空变化特征[J].水土保持研究,2020,27(1):7-14,20.
[21] Sharoly N, Willianms J R. EPIC-erosion/produciviy impact calculator:1. model documentation[M]. Washington D C: USDA Technical Bullletin, 1990:3-9.
[22] 曹祥会,龙怀玉,雷秋良,等.河北省表层土壤可侵蚀性K值评估与分析[J].土壤,2015,47(6):1192-1198.
[23] 黄炎和,卢程隆,付勤,等.闽东南土壤流失预报研究[J].水土保持学报,1993,3(4):13-18.
[24] 马超飞,马建文,布和敖斯尔. USLE模型中植被覆盖因子的遥感数据定量估算[J].水土保持通报,2001,2(4):6-9.
[25] 张宪奎,许靖华,卢秀琴,等.黑龙江省水土流失方程的研究[J].水土保持通报,1992,12(4):1-9.
[26] 潘颖,林杰,佟光臣,等.2004—2014年太湖流域植被覆盖时空变化特征[J].生态与农村环境学报,2018,34(1):37-45.
[27] 吴楠,高吉喜,苏德毕力格,等.长江上游植被净初级生产力年际变化规律及其对气候的响应[J].长江流域资源与环境,2010,19(4):389-396.
[28] 北京市水务局.2000—2018年北京市水土保持公报[EB/OL].(2019-11-11)[2020-11-24] http:∥swj. beijing. gov. cn/zwgk/stbcgb/.
[29] 李素晓.京津冀生态系统服务演变规律与驱动因素研究[D].北京:北京林业大学,2019.
[30] 潘梅,陈天伟,黄麟,等.京津冀地区生态系统服务时空变化及驱动因素[J].生态学报,2020,40(15):5151-5167.
[31] 杜春利.河北省太行山区水土流失及其防治对策[J].中国水土保持,1995,2(9):5-7.

Similar References:

Memo

Last Update: 2022-02-20