Effects of Variation in Vegetation Cover and Rainfall on Soil Erosion in Black Soil Region, Northeastern China

Wang Shuo; Fang Haiyan; He Jijun

doi:10.13961/j.cnki.stbctb.2021.02.009

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Effects of Variation in Vegetation Cover and Rainfall on Soil Erosion in Black Soil Region, Northeastern China

- Effects of Variation in Vegetation Cover and Rainfall on Soil Erosion in Black Soil Region, Northeastern China
- Bulletin of Soiland Water Conservation Vol. 41, Issue 2, Pages: 66-75(2021)
- 作者机构：
  
  1. 首都师范大学城市环境过程和数字模拟国家重点试验室培育基地,北京,100048
  2. 中国科学院地理科学与资源研究所陆地水循环及地表过程重点试验室,北京,100101
  3. 中国科学院大学资源与环境学院,北京,100049
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2021.02.009
  CLC： S157.1
- Published：2021
- 稿件说明：
移动端阅览
Wang Shuo, Fang Haiyan, He Jijun. Effects of Variation in Vegetation Cover and Rainfall on Soil Erosion in Black Soil Region, Northeastern China[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 66-75.
DOI：

Wang Shuo, Fang Haiyan, He Jijun. Effects of Variation in Vegetation Cover and Rainfall on Soil Erosion in Black Soil Region, Northeastern China[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 66-75. DOI： 10.13961/j.cnki.stbctb.2021.02.009.

摘要

[目的

]

研究东北黑土区植被覆盖和降雨侵蚀力因子对土壤侵蚀时空变化的影响程度，为该区水土流失治理和可持续发展提供科学依据。[方法

]

运用修正后的通用土壤流失方程（RUSLE）得到了2000—2018年东北黑土区土壤侵蚀分布特征，并探究土壤侵蚀模数与因子时空分布变化规律，得出侵蚀模数对于植被覆盖和降雨侵蚀力因子变化的敏感性。[结果

]

黑土区土壤侵蚀变化与植被覆盖与管理因子和降雨侵蚀力因子的变化相关。研究期间侵蚀模数从1 175.20 t/（km

·a）下降至822.07 t/（km

·a），并且全区主要以微度侵蚀和轻度侵蚀为主，空间上呈现西南向东北逐渐降低的空间分布特点。[结论

]

东北黑土区东南部和西南部的植被覆盖与管理因子（C）敏感系数分别为0.95和1.00，是强度敏感区域，提高植被覆盖度将成为有效治理手段；西北与西南降雨侵蚀力因子（R）敏感系数分别为0.45和1.00，为中度敏感和强度敏感的区域，降低降雨的影响对治理侵蚀最为有效。

Abstract

[Objective] The effects of vegetation cover and rainfall erosivity on the spatial and temporal changes of soil erosion in the black soil region of Northeast China were studied

in order to provide a scientific basis for soil and water conservation and sustainable development in this region.[Methods] The revised universal soil loss equation (RUSLE) was used to calculate soil erosion modulus and its distribution in the study region from 2000 to 2018

the spatial and temporal distribution of soil erosion modulus and the influencing factors were analyzed

and the sensitivity of the erosion modulus to changes of vegetation cover and rainfall factors was obtained.[Results] Soil erosion in the black soil region of Northeastern China was mainly affected by the changes in vegetation cover and management factor C and rainfall erosivity factor R. The erosion modulus in the study area decreased from 1 175.20 t/(km2·a) to 822.07 t/(km2·a) during 2000-2018

and slight and mild erosion dominated

with a spatial distribution from southwestern to northeastern parts of the black soil region.[Conclusion] The sensitivity coefficients of vegetation cover and management factor (C) are 0.95 and 1.00 in the southeast and southwest of the black soil region

which belong to intensely sensitive areas. In these places

the effective management method is to improve the vegetation cover. In contrast

the sensitivity coefficients of rainfall erosion force factor (R) are 0.45 and 1.00 in the northwestern and southwestern parts

which belong to moderately and intense sensitive areas

where the effective way to control soil loss is to reduce the impact of rainfall.

关键词

Keywords

references

郑粉莉,王占礼,杨勤科.我国土壤侵蚀科学研究回顾和展望[J].自然杂志,2008,30(1):12-16.

雷廷武,李法虎.水土保持学[M].北京:中国农业大学出版社,2012.

Pruski F, Nearing M A. Runoff and soil-loss responses to changes in precipitation:A computer simulation study[J]. Journal of Soil and Water Conservation, 2002,57(1):7-16.

Simonneaux V, Cheggour A, Deschamps C, et al. Land use and climate change effects on soil erosion in a semi-arid mountainous watershed (High Atlas, Morocco)[J]. Journal of Arid Environments, 2015,122:64-75.

郑粉莉,杨勤科,唐克丽.神木试区土壤侵蚀的人为影响及流域治理现状评价[J].水土保持研究,1993,18(2):75-83.

Teng Hongfen, Liang Zongzheng, Chen Songchao, et al. Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models[J]. Science of the Total Environment, 2018, 635:673-686.

Chakrabortty R, Pradhan B, Mondal P, et al. The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of Eastern India[J]. Arabian Journal of Geosciences, 2020, 13(20):1-20.

吴昌广.气候变化背景下三峡库区植被覆盖动态及其土壤侵蚀风险研究[D].湖北武汉:华中农业大学,2011.

余新晓,张学霞,李建牢,等.黄土地区小流域植被覆盖和降水对侵蚀产沙过程的影响[J].生态学报,2006,26(1):1-8.

刘兴土,马学慧.三江平原自然环境变化与生态保育[M].北京:科学出版社,2002.

崔明,张旭东,蔡强国,等.东北典型黑土区气候,地貌演化与黑土发育关系[J].地理研究,2008,27(3):527-535.

刘光盛,王红梅,胡月明,等.基于不同调查时点数据的黑龙江省土地利用变化及政策驱动分析[J].农业现代化研究,2015,1(5):869-875.

Zhang Y G, Nearing M A, Zhang X C, et al. Projected rainfall erosivity changes under climate change from multimodel and multiscenario projections in Northeast China[J]. Journal of Hydrology, 2010,384(1/2):97-106.

杨维鸽,张红侠.典型黑土区小流域土壤侵蚀的地貌分布特征[J].江西农业学报,2017,1(12):32-37.

王文娟,张树文,李颖,等.近50年三江平原土地利用/覆被变化及土壤侵蚀分析[J].中国科学院研究生院学报,2008,25(4):493-502.

张雪花,侯文志,王宁.东北黑土区土壤侵蚀模型中植被因子

值的研究[J].环境科学学报,2006,25(3):797-801.

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.

李巍,范文义,毛学刚,等.降雨量空间插值方法比较研究[D].安徽农业科学,2014(12):67-69.

张科利,彭文英,杨红丽.中国土壤可蚀性值及其估算[J].土壤学报,2007,44(1):7-13.

Sharpley A N, Williams J R. EPIC-erosion/productivity impact calculator (Ⅰ):Model documentation (Ⅱ):User manual[J]. Technical Bulletin-United States Department of Agriculture, 1990,4(4):206-207.

Williams J R, Renard K G, Dyke P T. EPIC:A new method for assessing erosion's effect on soil productivity[J]. Journal of Soil and water Conservation, 1983,38(5):381-383.

Liu Baoyuan, Nearing M A, Risse L M. Slope gradient effects on soil loss for steep slopes[J]. Transactions of the ASAE, 1994,37(6):1835-1840.

Liu Baoyuan, Nearing M A, Shi P J, et al. Slope length effects on soil loss for steep slopes[J]. Soil Science Society of America Journal, 2000,64(5):1759-1763.

路中,雷国平,王居午,等.30年来东北典型黑土区水土流失敏感性时空分异特征研究[J].自然灾害学报,2019,28(4):186-195.

卞大伟,李洪伟,燕红,等.基于RUSLE模型的吉林省湿地土壤保持服务功能研究[J].吉林林业科技,2020,49(6):19-24.

蔡崇法,丁树文,史志华,等.应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J].水土保持学报,2000,14(2):19-24.

张宪奎,许靖华,卢秀琴,等.黑龙江省土壤流失方程的研究[J].水土保持通报,1992,12(4):1-9.

张兴义,刘晓冰.中国黑土研究的热点问题及水土流失防治对策[J].水土保持通报,2020,40(4):340-344.

Fang Haiyan, Fan Zemeng. Assessment of soil erosion at multiple spatial scales following land use changes in 1980-2017 in the black soil region,(NE) China[J]. International Journal of Environmental Research and Public Health, 2020,17(20):73-78.

夏既胜,葛然.基于灰色关联法和德尔菲法的土壤侵蚀敏感性评价:以云南金沙江流域3个典型露天矿区为例[J].云南地理环境研究,2014,4(5):40-46.

方华军,杨学明,张晓平,等.

137

Cs示踪技术研究坡耕地黑土侵蚀和沉积特征[J].生态学报,2005,25(6):1376-1382.

李国强,方海燕.基于

137

Cs示踪和WaTEM/SEDEM模型的黑土区小流域侵蚀产沙模拟[J].陕西师范大学学报(自然科学版),2015,43(3):86-92.

张克新,潘少明,徐仪红,等.利用

137

Cs大气沉降通量估算土壤侵蚀速率的可行性研究:以辽东湾地区为例[J].生态学杂志,2016,35(1):269-274.

刘宝元,阎百兴,沈波,等.东北黑土区农地水土流失现状与综合治理对策[J].中国水土保持科学,2008,6(1):1-8.

盛美玲,方海燕,郭敏.东北黑土区小流域侵蚀产沙WaTEM/SEDEM模型模拟[J].资源科学,2015,37(4):815-822.

顾治家,谢云,李骜,等.利用CSLE模型的东北漫川漫岗区土壤侵蚀评价[J].农业工程学报,2020,36(11):49-56.

孙禹,哈斯额尔敦,杜会石.基于GIS的东北黑土区土壤侵蚀模数计算[J].中国水土保持科学,2015,13(1):1-7.

Chang K, Tsai B. The effect of DEM resolution on slope and aspect mapping[J]. Cartography and Geographic Information Systems, 1991,18(1):69-77.

李旭亮,杨礼箫,田伟,等.中国北方农牧交错带土地利用/覆盖变化研究综述[J].应用生态学报,2018,29(10):3487-3495.

何航,张勃,侯启,等.1982-2015年中国北方归一化植被指数(NDVI)变化特征及对气候变化的响应[J].生态与农村环境学报,2020,36(1):70-80.

Xu X Z, Xu Y, Chen S C, et al. Soil loss and conservation in the black soil region of Northeast China:A retrospective study[J]. Environmental Science & Policy, 2010,13(8):793-800.

曲学斌,张煦明,孙卓.大兴安岭植被NDVI变化及其对气候的响应[J].气象与环境学报,2019,1(2):77-83.

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