Effects of Vegetation Coverage Change on Soil Conservation Service of Typical Steppe in Inner Mongolia

  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2013-12-23

  Revised date: 2014-01-22

  Online published: 2014-05-10


China is one of the countries suffering severely from soil wind erosion in the world, especially in the typical northern steppe. Xilingol League in Inner Mongolia is a part of the typical steppe zone. Ever since Beijing-Tianjin Dust Storms Sources Control Project was established in 2002, the grassland degradation situation has been controlled. The change of vegetation coverage can affect the ecological function of windbreak and sand-fixation. In order to prepare the prevention and control measures for regional ecological restoration, to understand the practical significances of sustainable development of grassland ecosystem, and to control soil wind erosion, in this study, based on the meteorology and remote sensing data, combined with grassland degradation and recovery in Xilingol League, the Revised Wind Erosion Equation (RWEQ) was applied to quantitatively evaluate the spatio-temporal variations of soil conservation service function since the 1990s and to reveal the effects of the change of vegetation coverage on soil wind erosion control service. The results are shown as follows. The intensity of soil wind erosion was low in the most regions of Xilingol League, Especially in the eastern, central and southern regions, with higher vegetation coverage, lower wind field intensity, and abundant rainfall. The wind erosion regions with medium and higher soil wind erosion intensity were mainly distributed in the western desert steppe and Otindag Sandy Land, and the area of these regions decreased progressively as the erosion intensity increased. The distribution pattern of soil retention was similar to soil wind erosion modulus. The distribution characteristics of the soil retention rate were similar to the vegetation coverage, indicating a gradually increasing trend from northwest to southeast. Under the comprehensive influence of the warming-drying climate and the implementation of Beijing-Tianjin Dust storm Source Control Project, the vegetation coverage decreasing regions dominated by slight and micro erosion intensity turned into vegetation coverage increasing grassland dominated by slight and micro erosion intensity;the grassland having mild, medium or severe degree of vegetation coverage reduction turned into the grassland with balanced vegetation coverage. The decrease or increase of vegetation coverage can significantly intensify or mitigate the soil wind erosion. Additionally, the soil retention rate showed a significant positive relationship with the grassland vegetation coverage in the spring seasons in most regions(r>0.6, p<0.05).

Cite this article

GONG Guoli, LIU Jiyuan, SHAO Quanqin . Effects of Vegetation Coverage Change on Soil Conservation Service of Typical Steppe in Inner Mongolia[J]. Journal of Geo-information Science, 2014 , 16(3) : 426 -434 . DOI: 10.3724/SP.J.1047.2014.00426


[1] 中国科学院地学部.关于我国华北沙尘天气的成因与治理对策[J].地球科学进展,2000,15(4):361-364.
[2] 张国平,张增祥,刘纪远.中国土壤风力侵蚀空间格局及驱动因子分析[J].地理学报,2001,56(2):146-158.
[3] 刘纪远,齐永青,师华定,等.蒙古高原塔里亚特-锡林郭勒样带土壤风蚀速率的137Cs 示踪分析[J].科学通报,2007, 52(23):2785-2791.
[4] 周长江,陈前利,吴珊.草地退化研究刍议[J].农村经济与科技,2012,23(6):6-9.
[5] Chepil W S, Woodruff N P, Siddoway F H, et al. Vegetative and non-vegetative materials to control wind and water erosion[J]. Soil Sci.Soc.Am.Proc.,1963,27(1):86-89.
[6] Siddoway F H, Chepil W S, Armbrust D V. Effect of kind, amount, and placement of residue on wind erosion control[J]. Transactions of the ASAE,1965,8(3):327-331.
[7] Fryrear D W.Soil cover and wind erosion[J]. Transactions of the ASAE,1985,28(3):781-784.
[8] Van de Ven T A M, Fryrear D W, Spaan W P.Vegetation characteristics and soil loss by wind[J].Journal of Soil andWater Conservation,1989(44):347-349.
[9] Wasson R J, Nanninga P M. Estimation wind transport sand on vegetated surface[J]. Earth Surface Processes and Landforms,1986(11):505-514.
[10] Lee J A. The role of desert shrub size and spacing on wind profile parameters[J]. Physical Geography,1990(12): 72-89.
[11] Wolf S A, NicklingWG.The protective role of sparse vegetation in wind erosion[J]. Progress in Physical Geography, 1993,17(1):50-68.
[12] Wolf S A, Nickling W G.Shear stress partitioning in sparsely vegetated desert canopies[J]. Earth surface processes and landforms,1996(21):607-620.
[13] 张华.典型沙地环境不同类型植被生态服务功能评价[D].兰州:中国科学院寒区旱区环境与工程研究所,2003.
[14] 艳燕.3S 技术支撑下的锡林郭勒盟草地变化研究[D].呼和浩特市:内蒙古师范大学,2011,10-12.
[15] 孟克.围封转移对锡林郭勒盟草地生产力影响研究[D]. 北京:中国农业科学院,2007,8-14.
[16] Fryrear D W,Saleh A,Bilbro J D,et al.Revised Wind Erosion Equation (RWEQ)[M]. Washington:Wind Erosion and Water Conservation Research Unit,Technical Bulletin 1,Southern Plains Area Cropping Systems Research Laboratory, USDA-ARS.1998:36-51.
[17] 刘志红,Li L T,McVicar T R,et al.专用气候数据空间插值软件ANUSPLIN及其应用[J].气象,2008,34(2):92-100.
[18] 冯仲科.空间数据的最佳内插法(kriging 法)及其在GIS 中应用的模型[J].测绘科学,1995(3):22-26.
[19] Dai L Y,Che T,Wang J, et al. Snow depth and snow water equivalent estimation from AMSR-E data based on a priori snow characteristics in Xinjiang, China[J]. Remote Sensing of Environment, 2012(127):14-29.
[20] 车涛.中国雪深长时间序列数据集(1978-2012)[DB].兰州:中科院寒区旱区环境与工程研究所, 2011.
[21] Fryrear D W, Krammes C A, Williamson D L ,et al. Computing the wind erodible fraction of soils[J]. Soil water conservation,1994,49(2):183-188.
[22] Saleh A. Soil roughness measurement:Chain method[J]. Journal of Soil and Water Conservation, 1993,48(6):527-529.
[23] 李晓兵,史培军.基于NOAA/AVHRR数据的中国主要植被类型NDVI 变化规律研究[J].植物学报,1999,41(3):314-324.
[24] Gutman G, Ignatov A. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J]. International Journal of Remote Sensing, 1998,19(8):1533-1543.
[25] 郭中领.RWEQ模型参数修订及其在中国北方应用研究[D].北京:北京师范大学,2012,38-40.
[26] Guo Z L, Zobeck T M, Stout J E, et al.The effect of wind averaging time on wind erosivity estimation[J]. Earth Surface and Landforms, 2012(37):797-802.