The Mu Us Sandy Region (MUSR) suffering serious desertification was an important component of China's ecological security barriers. In recent years, the state and local governments have implemented a series of ecological protection and construction projects in this region. In this paper, regression analysis were used to analyze change trend of vegetation coverage and its response to temperature and precipitation in the MUSR, based on MODIS13Q1 NDVI time-series data from 2000 to 2015, annual mean temperature and annual total precipitation data. The results showed that:(1) the vegetation coverage tended to decrease from east to west in the MUSR, and it was less than 30% in most areas of the MUSR. The mobile sand dunes with very low vegetation coverage were still obviously present in the hinterland of the MUSR. (2) Since 2000, the vegetation coverage in the MUSR has been increasing generally, but there was obvious spatial difference. The areas with significant or extremely significant increase of vegetation coverage distributed in most regions of the middle-eastern MUSR and those places among shifting-dune belts. The change trend of vegetation coverage in the desert steppe area of.the western Ordos plateau was not significant. The areas with significant or extremely significant decrease of vegetation coverage were very few, scattered in the MUSR. (3) There were spatial and time-delay differences about responses of the vegetation coverage to annual total precipitation and annual mean temperature in the MUSR. The vegetation coverage responses to annual total precipitation and annual mean temperature in the transitional zone of Loess plateau and the desert steppe region in the western Ordos Plateau were very sensitive, because of bigger correlation coefficients between them. Although weak correlation between vegetation coverage change and annual total precipitation or annual mean temperature in the Mu Us Sandy Land, there was significant increase correlation coefficients between vegetation coverage change and time-delay annual total precipitation. This might was related to water redistribution and use means due to different soil textures and vegetation types in the Mu Us Sandy Land.
[1] 冯起,程国栋.我国沙地水分分布状况及其意义[J].土壤学报,1999,36(2):225-226.
[2] 陈效逑,王恒.1982-2003年内蒙古植被带和植被覆盖度的时空变化[J].地理学报,2009,64(1):84-94.
[3] Wolfe S A,Nickling W G.The protective role of sparse vegetation in wind erosion[J].Progress in Physical Geography,1993,17(1):50-68.
[4] 李新荣,张志山,王新平,等.干旱区土壤-植被系统恢复的生态水文学研究进展[J].中国沙漠,2009,29(5):845-852.
[5] 贾晓红,李新荣,周玉燕,等.干旱沙区人工固沙植被演变过程中土壤有机碳氮储量及其分布特征[J].环境科学,2012,33(3):938-945.
[6] 包岩峰,丁国栋,吴斌,等.毛乌素沙地风沙流结构的研究[J].干旱区资源与环境,2013,27(2):118-123.
[7] 秦伟,朱清科,张学霞,等.植被覆盖度及其测算方法研究进展[J].西北农林科技大学学报:自然科学版,2006,34(9):163-170.
[8] 程红芳,章文波,陈锋.植被覆盖度遥感估算方法研究进展[J].国土资源遥感,2008,2008(1):13-18.
[9] Jasinski M F.Estimation of subpixel vegetation density of natural regions using satellite multispectral imagery[J].IEEE Transactions on Geoscience & Remote Sensing,1996,34(3):804-813.
[10] 史世莲,章文波,王国燕.北京地区植被盖度提取及其分布变化研究[J].遥感技术与应用,2014,29(5):866-872.
[11] Fuller D O.Trends in NDVI time series and their relation to rangeland and crop production in Senegal,1987-1993[J].International Journal of Remote Sensing,1998,19(10):2013-2018.
[12] 蔡博峰,于嵘.基于遥感的植被长时序趋势特征研究进展及评价[J].遥感学报,2009,13(6):1170-1186.
[13] Ringrose S,Matheson W,Wolski P,et al.Vegetation cover trends along the Botswana Kalahari transect[J].Journal of Arid Environments,2003,54(2):297-317.
[14] 孙红雨,张耀,年铮.中国地表植被覆盖变化及其与环境因子关系——NOAA时间序列数据分析[J].遥感学报,1998,2(3):204-210.
[15] 吴波,慈龙骏.毛乌素沙地景观格局变化研究[J].生态学报,2001,21(2):191-196.
[16] 吴薇,王熙章,姚发芬.毛乌素沙地沙漠化的遥感监测[J].中国沙漠,1997,17(4):415-420.
[17] 张新时.毛乌素沙地的生态背景及其草地建设的原则与优化模式[J].植物生态学报,1994,18(1):1-16.
[18] 李娜,颜长珍.毛乌素沙地现代人为活动的生态环境效应研究进展[J].中国沙漠,2015,35(2):487-492.
[19] 吴波,慈龙骏.五十年代以来毛乌素沙地荒漠化扩展及其原因[J].第四纪研究,1998,18(2):165-172.
[20] 闫峰,吴波,王艳姣.2000-2011年毛乌素沙地植被生长状况时空变化特征[J].地理科学,2013,33(5):602-608.
[21] 黄永诚.2000-2010年毛乌素沙地植被覆盖度和土地利用变化研究[D].兰州:交通大学,2014.
[22] 穆少杰,李建龙,陈奕兆,等.2001-2010年内蒙古植被覆盖度时空变化特征[J].地理学报,2012,67(9):1255-1268.
[23] Xu Z,Mason J A,Lu H.Vegetated dune morphodynamics during recent stabilization of the Mu Us dune field,north-central China[J].Geomorphology,2015,228(228):486-503.
[24] Yan F,Wu B,Wang Y.Estimating spatiotemporal patterns of aboveground biomass using Landsat TM and MODIS images in the Mu Us Sandy Land,China[J].Agricultural & Forest Meteorology,2015,200(200):119-128.
[25] 罗娟,银山,包玉海,等.2000-2010年毛乌素沙地植被覆盖动态变化特征分析及其气候响应:风险分析和危机反应中的信息技术[C].中国灾害防御协会风险分析专业委员会年会,2014.
[26] 朱芳莹.中国北方四大沙地近30年来的沙漠化时空变化及气候影响[D].南京:南京大学,2015.
[27] 刘娟,刘华民,卓义,等.毛乌素沙地1990-2014年景观格局变化及驱动力[J].草业科学,2017,34(2):255-263.
[28] 赵媛媛,丁国栋,高广磊,等.毛乌素沙区沙漠化土地防治区划[J].中国沙漠,2017,37(4):635-643.
[29] 冯颖.毛乌素沙地植被盖度变化及其对气候变化的响应[D].北京:北京林业大学,2015.
[30] 中国科学院内蒙古宁夏综合考察队.内蒙古植被[M].北京:科学出版社,1985.
[31] 北京大学地理系.毛乌素沙区自然条件及其改良利用[M].北京:科学出版社,1983.
[32] Holben B N.Characteristics of maximum-value composite images from temporal AVHRR data[J].International Journal of Remote Sensing,1986,7(11):1417-1434.
[33] Atkinson P M,Lloyd C D.Mapping precipitation in Switzerland with ordinary and Indicator Kriging[J].IEEE Transactions on Magnetics,2003,31(6):2895-2897.
[34] 李军龙,张剑,张丛,等.气象要素空间插值方法的比较分析[J].草业科学,2006,23(8):6-11.
[35] 谭剑波,李爱农,雷光斌.青藏高原东南缘气象要素Anusplin和Cokriging空间插值对比分析[J].高原气象,2016,35(4):875-886.
[36] 钱永兰,吕厚荃,张艳红.基于ANUSPLIN软件的逐日气象要素插值方法应用与评估[J].气象与环境学报,2010,26(2):7-15.
[37] 刘志红,Li L T,Mcvicar T R,等.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.
[38] 包刚,包玉海,覃志豪,等.近10年蒙古高原植被覆盖变化及其对气候的季节响应[J].地理科学,2013,33(5):613-621.
[39] 王立新,刘华民,杨劼,等.毛乌素沙地气候变化及其对植被覆盖的影响[J].自然资源学报,2010,25(12):2030-2039.
[40] Yu X N,Huang Y M,Li E G,et al.Effects of vegetation types on soil water dynamics during vegetation restoration in the Mu Us Sandy Land,northwestern China[J].Journal of Arid Land,2017,9(2):188-199.