全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

中亚1999—2012年间土地退化强度与趋势分析

DOI: 10.6046/gtzyyg.2014.04.26, PP. 163-169

Keywords: 中亚,土地退化,时间序列,Kendall,遥感

Full-Text   Cite this paper   Add to My Lib

Abstract:

以长时间序列的SPOT-Vegetation遥感数据为基础,利用Theil-Sen斜率估计与Mann-Kendall趋势检验相结合的方法分析了中亚地区1999—2012年间的土地退化强度和趋势;并结合高程数据,分析人类活动对土地退化的影响。结果表明:土地退化强烈地区主要位于环卡拉库姆沙漠、克孜勒库姆沙漠边缘的绿洲经济带和哈萨克斯坦西部盐碱地带。环卡拉库姆沙漠、克孜勒库姆沙漠边缘的绿洲经济带地区近年来着重发展经济,对自然植被破坏加剧,对生态系统造成了一定的负面影响;哈萨克斯坦西部盐碱地地区,由于盐碱化程度不断加重导致土地退化更加强烈。中亚地区在沿里海、各湖周边、各沙漠边缘以及山区雪线下的地区土地退化状况有明显改善,表明海湖地区围湖造田兴起,农业生产活动强度显著增加,同时沙漠周边各项环境治理工程和防风固沙工程得到有效实施,也起到一定作用。气候环境的变化使高海拔区域冰雪融化,原先不适合植被生长的苔原地区逐渐有林木和灌木生长,这与前人研究的全球变暖,中亚气候逐渐转向暖湿,植被“北侵”的认识相吻合。各沙漠内部土地改善趋势显著但强度非常小,这可能是由于这些区域的气候特征逐渐转向暖湿,从而造成沙漠植被的植物生理过程发生了微弱变化;然而沙漠植被并不能为人们所利用,其繁茂程度对促进区域经济发展意义不大。所以总体来看,中亚地区人类的生存环境可能在恶化。

References

[1]  程水英,李团胜.土地退化的研究进展[J].干旱区资源与环境,2004,18(3):38-43. Chen S Y,Li T S.Advances in research of land degradation[J].Journal of Arid Land Resources and Environment,2004,18(3):38-43.
[2]  张桃林,王兴祥.土壤退化的研究进展与趋向[J].自然资源学报,2000,15(3):280-284. Zhang T L,Wang X X.Research progress and trend of soil degradation[J].Journal of Natural Resources,2000,15(3):280-284.
[3]  格日乐,姚云峰.土地退化防治综述[J].内蒙古林学院学报,1998,20(2):47-53. Ge R L,Yao Y F.The prevention of land degradation[J].Journal of Inner Mongolia Forestry College,1998,20(2):47-53.
[4]  刘慧.我国土地退化类型与特点及防治对策[J].资源科学,1995(4):26-32. Liu H.The types and characteristics of land degradation and countermeasures in China[J].Journal of Resources Science,1995(4):26-32.
[5]  孙武,李森.土地退化评价与检测技术路线的研究[J].地理科学,2000,20(1):92-96. Sun W,Li S.Study on land degradation route evaluation and detection technology[J].Journal of Geographic Science,2000,20(1):92-96.
[6]  赵其国.人类活动与土地退化[G].中国土地退化防治研究(全国土地退化防治学术讨论论文集),1991. Zhao Q G.Human activities and land degradation[G].Study on Prevention of Land Degradation in China,1991.
[7]  张祖勋,廖明生.NOAA/AVHRR的进展与应用[J].国外测绘,1994(4):36-39. Zhang Z X,Liao M S.Development and application of NOAA/AVHRR[J].Foreign Mapping,1994(4):36-39.
[8]  卢玲,李新,董庆罕,等.SPOT4-Vegetation中国西北地区土地覆盖制图与验证[J].遥感学报,2003,7(3):214-220. Lu L,Li X,Dong Q H,et al.SPOT4-Vegetation cover mapping and verification of land in Northwest China[J].Journal of Remote Sensing,2003,7(3):214-220.
[9]  马明国,王建,王雪梅.基于遥感的植被年际变化及其与气候关系研究进展[J].遥感学报,2006,10(3):421-431. Ma M G,Wang J,Wang X M.The progress of inter annual variability of vegetation and its relationship with climate based on remote sensing[J].Journal of Remote Sensing,2006,10(3):421-431.
[10]  宋怡,马明国.基于SPOT Vegetation数据的中国西北植被覆盖变化分析[J].中国沙漠,2007,27(1):89-93. Song Y,Ma M G.Analysis of the change of vegetation cover in China Northwest based on SPOT Vegetation data[J].Chinese Desert,2007,27(1):89-93.
[11]  Maisongrande P,Duchemin B,Dedieu G.Vegetation/SPOT:An operational mission for the Earth monitoring:Presentation of new standard products[J].International Journal of Remote Sensing,2004,25(1):9-14.
[12]  Han J W,Kamber M.数据挖掘:概念与技术[M].范明,孟小峰,译.北京:机械工业出版社,2001. Han J W,Kamber M.Data Mining:Concepts and Techniques[M].Translated by Fan M,Meng X F.Beijing:Mechanical Industry Press,2001.
[13]  杨帆,王志坚,娄渊胜.时间序列趋势分析方法的一种改进[J].计算机技术与发展,2006,16(5):82-84. Yang F,Wang Z J,Lou Y S.An improved analysis method of time series trend[J].Computer Technology and Development,2006,16(5):82-84.
[14]  黄森旺,李晓松,吴炳方,等.近25年三北防护林工程区土地退化及驱动力分析[J].地理学报,2012,67(5):589-598. Hang S W,Li X S,Wu B F,et al.The distribution and drivers of land degradation in the three-north shelter forest region of China during 1982—2006[J].Journal of Geographical Sciences,2012,67(5):589-598.
[15]  Theil,H.A rank-invariant method of linear and polynomial regression analysis[J].I,II,III.Nederl.Akad.Wetensch.,Proc.1950,53:386-392,521-525,1397-1412.
[16]  Sen P K.Estimates of the regression coefficient based on Kendall's tau[J].Journal of the American Statistical Association,1968,63(324):1379-1389.
[17]  Gibbons J D,Chakroborty S,Gibbons G D.Nonparametric Statistical Inference[M].New York:CRC Press,2003.
[18]  Helsel D R,Frans L M.Regional kendall test for trend[J].Environmental Science and Technology,2006,40(13):4066-4073.
[19]  Kendall M G.Rank Correlation Methods[M]//3rd ed.New York:Hafner Publishing Company,1962.
[20]  Kendall M G.Rank Correlation Methods[M].London:Charles Griffin,1975.
[21]  Mann H B.Nonparametric tests against trend[J].Econometrica,1945,13(3):245-259.
[22]  Neeti N,Eastman J R.A contextual Mann-Kendall approach for the assessment of trend significance in image time series[J].Transactions in GIS,2011,15(5):599-611.
[23]  Sen P K.Estimates of regression coefficient based on Kendall's tau[J].J Am Stat Ass,1968,63(324):1379-1389.
[24]  Source for this dataset was the VITO (Flemish Inst.Technological Research,Belgium)[EB/OL].
[25]  陈发虎,黄伟,靳立亚,等.全球变暖背景下中亚干旱区降水变化特征及其空间差异[J].中国科学:地球科学,2011,41(11):1647-1657. Chen F H,Hang W,Jin L Y,et al.Characteristics and spatial variation of precipitation differences in arid Central Asia under the background of global warming[J].China Science:Earth Science,2011,41(11):1647-1657.
[26]  施雅风,沈永平,胡汝骥.西北气候由暖干向暖湿转型的信号、影响和前景初步探讨[J].冰川冻土,2002,24(3):219-226. Shi Y F,Shen Y P,Hu R J.Preliminary study on signal, influence and prospect of the Northwest climate shift from warm dry to warm wet[J].Journal of Glaciology and Geocryology,2002,24(3):219-226.
[27]  施雅风,沈永平,李栋梁,等.中国西北气候由暖干向暖湿转型的特征和趋势探讨[J].第四纪研究,2003,23(2):152-162. Shi Y F,Shen Y P,Li D L,et al.To explore the characteristics and trend of Chinese Northwest climate shift from warm dry to warm wet[J].Quaternary Research,2003,23(2):152-162.
[28]  鲁振宇.基于MODIS数据的青海省短尺度土地覆盖变化和植被活动的气候驱动机制研究[D].兰州:兰州大学,2007. Lu Z Y.Climate driving mechanism of land cover change and vegetation activity in short scale in Qinghai Province based on MODIS data[D].Lanzhou:Lanzhou University,2007.
[29]  郭爽.全球变暖致植被生长范围北移将引发生态改变[N/OL].新华网,2013-03-14. Guo S.Global warming caused vegetation growth range northward and it will lead to ecological changes[N/OL].New China Net,2013-03-14.
[30]  Philip M.The Aral Sea disaster[J].Annual Review of Earth and Planetary Sciences,2007,35(4):47-72.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133