Please wait a minute...
img

官方微信

高级检索
中国沙漠  2018, Vol. 38 Issue (5): 1099-1107    DOI: 10.7522/j.issn.1000-694X.2018.00035
生态与经济     
2000-2015年毛乌素沙区植被覆盖度变化趋势
郭紫晨1,2, 刘树林1, 康文平1,2, 陈翔1,2, 张雪琴1,2
1. 中国科学院西北生态环境资源研究院 沙漠与沙漠化重点实验室, 甘肃 兰州 730000;
2. 中国科学院大学, 北京 100049
Change Trend of Vegetation Coverage in the Mu Us Sandy Region from 2000 to 2015
Guo Zichen1,2, Liu Shulin1, Kang Wenping1,2, Chen Xiang1,2, Zhang Xueqin1,2
1. Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
 全文: PDF 
摘要: 毛乌素沙区是中国生态安全屏障的重要组成部分,土地沙漠化严重,近年来国家和地方政府实施了一系列生态保护与建设工程。利用2000-2015年MODIS13Q1 NDVI产品、年平均气温、年降水量数据,采用回归分析方法和显著性检验,对毛乌素沙区植被覆盖度变化趋势及其对气温、降水变化的响应进行了分析研究。结果表明:(1)毛乌素沙区植被覆盖度总体由东向西呈减少趋势,大部分区域植被覆盖度在30%以下,沙地腹地依然明显存在极低植被覆盖的流沙区。(2)21世纪以来毛乌素沙区植被覆盖度总体呈增加趋势,但空间差异明显。中东部大部分地区及腹地流动沙带之间植被覆盖度呈显著、极显著增加趋势;西部西鄂尔多斯荒漠草原区植被覆盖度变化不显著;植被覆盖度变化显著或极显著减小的地区极少,呈点状零散分布。(3)毛乌素沙区植被覆盖度对气温和降水响应的敏感性存在空间差异,且存在时滞性差异。东部黄土高原过渡区和西部西鄂尔多斯荒漠草原区植被对降水和气温的响应敏感,植被覆盖度的变化与气温和降水因子呈显著相关关系;毛乌素沙地主体区植被覆盖度变化与当年总降水量和年平均气温相关性不强,但与时滞降水的相关系数显著增大,可能与毛乌素沙地土壤质地和植被类型对降水的分配与利用方式有关。
关键词: 毛乌素沙地植被覆盖度趋势分析    
Abstract: 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.
Key words: Mu Us Sandy Region    vegetation coverage    trend analysis
收稿日期: 2017-10-26 出版日期: 2018-11-03
ZTFLH:  Q948.15  
基金资助: 国家重点研发计划课题(2016YFC0500902)
通讯作者: 刘树林(E-mail:liusl@lzb.ac.cn)     E-mail: liusl@lzb.ac.cn
作者简介: 郭紫晨(1993-),女,甘肃高台人,硕士研究生,主要从事沙漠遥感研究。E-mail:245717256@qq.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
郭紫晨
刘树林
康文平
陈翔
张雪琴

引用本文:

郭紫晨, 刘树林, 康文平, 陈翔, 张雪琴. 2000-2015年毛乌素沙区植被覆盖度变化趋势[J]. 中国沙漠, 2018, 38(5): 1099-1107.

Guo Zichen, Liu Shulin, Kang Wenping, Chen Xiang, Zhang Xueqin. Change Trend of Vegetation Coverage in the Mu Us Sandy Region from 2000 to 2015. Journal of Desert Research, 2018, 38(5): 1099-1107.

链接本文:

http://www.desert.ac.cn/CN/10.7522/j.issn.1000-694X.2018.00035        http://www.desert.ac.cn/CN/Y2018/V38/I5/1099

[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.
[1] 李丽丽, 王大为, 韩涛. 2000-2015年石羊河流域植被覆盖度及其对气候变化的响应[J]. 中国沙漠, 2018, 38(5): 1108-1118.
[2] 杨军怀, 董治宝, 南维鸽, 宋绍鹏, 肖南, 刘生权, 孟小强. 毛乌素沙地东南缘樟子松(Pinus sylvestris var. mongolica)人工林土壤粒度特征[J]. 中国沙漠, 2018, 38(4): 815-822.
[3] 刘铮瑶, 董治宝, 刘永林, 崔徐甲, 肖巍强, 韩红珠. 毛乌素沙地沙产业发展条件[J]. 中国沙漠, 2018, 38(4): 881-888.
[4] 陈国祥, 董治宝, 崔徐甲, 肖巍强, 李露露, 杨军怀, 石唯康. 毛乌素沙地中部风成沙的组成与微形态特征[J]. 中国沙漠, 2018, 38(3): 473-483.
[5] 苏志珠, 吴宇婧, 孔梦园, 马义娟, 梁爱民, 柳苗苗, 张彩霞. 常量元素记录的毛乌素沙地东南缘全新世气候变化[J]. 中国沙漠, 2018, 38(3): 516-523.
[6] 吴永胜, 尹瑞平, 田秀民, 哈斯. 毛乌素沙地南缘人工植被区生物结皮发育特征[J]. 中国沙漠, 2018, 38(2): 339-344.
[7] 赵媛媛, 丁国栋, 高广磊, 彭玏, 崔晓. 毛乌素沙区沙漠化土地防治区划[J]. 中国沙漠, 2017, 37(4): 635-643.
[8] 李裕瑞, 范朋灿, 曹智, 陈玉福, 刘彦随, 王欢元, 刘怀华, 马锋, 万慧. 毛乌素沙地砒砂岩与沙复配农田的固沙效应及其微观机理[J]. 中国沙漠, 2017, 37(3): 421-430.
[9] 杨帆, 靳鹤龄, 李孝泽, 耿建伟, 刘冰. 中晚全新世毛乌素沙地东南部气候变化过程[J]. 中国沙漠, 2017, 37(3): 431-438.
[10] 朱媛君, 张璞进, 邢娜, 闫颖超, 清华, 赵利清. 毛乌素沙地丘间低地植物群落分类与排序[J]. 中国沙漠, 2016, 36(6): 1580-1589.
[11] 郭辉, 黄粤, 李向义, 包安明, 宋洋, 孟凡浩. 基于多尺度遥感数据的塔里木河干流地区植被覆盖动态[J]. 中国沙漠, 2016, 36(5): 1472-1480.
[12] 冯筱, 李生宇, 徐新文, 马学喜, 邢文娟, 袁鑫鑫. 策勒绿洲-沙漠过渡带骆驼刺(Alhagi sparsifolia)群落的地表蚀积特征[J]. 中国沙漠, 2016, 36(5): 1252-1259.
[13] 王广涛, 王训明, 郎丽丽. 毛乌素沙地南缘半固定沙丘风沙输移物特征[J]. 中国沙漠, 2016, 36(2): 281-286.
[14] 王洪娇, 黄银洲, 冯玉静, 孟凡萍. 大夏国都统万城选址合理性辨析[J]. 中国沙漠, 2016, 36(2): 327-334.
[15] 李如意, 赵景波. 毛乌素沙地1960-2013年极端气温变化[J]. 中国沙漠, 2016, 36(2): 483-490.