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1982-2013年基于GIMMS-NDVI的新疆植被覆盖时空变化
引用本文:刘洋,李诚志,刘志辉,邓兴耀.1982-2013年基于GIMMS-NDVI的新疆植被覆盖时空变化[J].生态学报,2016,36(19):6198-6208.
作者姓名:刘洋  李诚志  刘志辉  邓兴耀
作者单位:新疆大学资源与环境科学学院, 乌鲁木齐 830046;新疆大学干旱生态环境研究所, 乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046,新疆大学资源与环境科学学院, 乌鲁木齐 830046;新疆大学干旱生态环境研究所, 乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046,新疆大学干旱生态环境研究所, 乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046,新疆大学资源与环境科学学院, 乌鲁木齐 830046;新疆大学干旱生态环境研究所, 乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046
基金项目:国家科技支撑计划项目课题(2012BAC23B01);水利部公益性行业科研专项经费(201301103);国家自然科学基金面上项目(41171023);国家自然科学基金(41301286,41561100);新疆维吾尔自治区社会科学基金(14BGL041);新疆大学博士启动基金(BS120137)
摘    要:利用美国国家航天航空局(NASA)全球检测与模型组(Global Inventor Modeling and Mapping Studies,GIMMS)的归一化植被指数数据(NDVI)和英国东英格利亚大学气候研究所(Climate Research Unit,CRU)全球气温降水数据(1982至2013年),研究新疆1982-2013年植被覆盖格局的时空变化。运用一元线性回归法分析近32年来新疆NDVI变化趋势;运用Theil-Sen median与Mann-Kendall检验研究新疆NDVI格局及趋势特征;并将检验的结果和Hurst指数的结果相结合,研究新疆NDVI格局的可持续性特征。研究表明:(1)新疆植被覆盖在空间分布上差异明显,其中北疆优于南疆,西北优于东南;(2)近32年来新疆年NDVI均值在0.10-0.12之间波动,且存阶段变化性;(3)新疆植被改善趋势的区域占总面积的25.89%,轻微退化的区域占总面积的18.00%;(4)从可持续性来看,新疆大部分地区植被变化将保持现在的趋势,但局部地区具有反持续性,持续性改善的面积占全疆总面积的24.39%,持续性轻微退化的区域占15.73%,另外59.88%为严重退化和未来变化趋势无法确定区域。开展NDVI空间格局的变化研究,对于干旱区新疆来说具有重要的理论和实际意义。

关 键 词:新疆  植被覆盖变化  趋势分析
收稿时间:2015/6/7 0:00:00

Assessment of spatio-temporal variations in vegetation cover in Xinjiang from 1982 to 2013 based on GIMMS-NDVI
LIU Yang,LI Chengzhi,LIU Zhihui and DENG Xingyao.Assessment of spatio-temporal variations in vegetation cover in Xinjiang from 1982 to 2013 based on GIMMS-NDVI[J].Acta Ecologica Sinica,2016,36(19):6198-6208.
Authors:LIU Yang  LI Chengzhi  LIU Zhihui and DENG Xingyao
Institution:Xinjiang University, School of Resources and Environment Science, Urumqi 830046, China;Xinjiang University, Key Laboratory of Oasis Ecology Ministry of Education, Urumqi 830046, China;Xinjiang University, Institute of Arid Ecology and Environment, Urumqi 830046, China,Xinjiang University, School of Resources and Environment Science, Urumqi 830046, China;Xinjiang University, Key Laboratory of Oasis Ecology Ministry of Education, Urumqi 830046, China;Xinjiang University, Institute of Arid Ecology and Environment, Urumqi 830046, China,Xinjiang University, Key Laboratory of Oasis Ecology Ministry of Education, Urumqi 830046, China;Xinjiang University, Institute of Arid Ecology and Environment, Urumqi 830046, China and Xinjiang University, School of Resources and Environment Science, Urumqi 830046, China;Xinjiang University, Key Laboratory of Oasis Ecology Ministry of Education, Urumqi 830046, China;Xinjiang University, Institute of Arid Ecology and Environment, Urumqi 830046, China
Abstract:The aim of this study was to adopt the Normalized Difference Vegetation Index (NDVI) data provided by the Global Inventor Modeling and Mapping Studies (GIMMS) of NASA and combine them with the global temperature and precipitation data supplied by the Climatic Research Unit of East Anglia University (CRU) in order to study vegetation coverage patterns in Xinjiang from 1982 to 2013. The linear regression method was used to study the trends of the changes in NDVI in Xinjiang over the last 32 years. The Theil-Sen median slope trend analysis and the Mann-Kendall test were also used to study the patterns and trends of NDVI in Xinjiang. The results of these analyses and of the Hurst index to determine the sustainability characteristics of NDVI patterns in Xinjiang show that (1) from the point of view of spatial distribution, the vegetation cover in the North and the South is significantly different. Coverage in the north is better than that in the south, and that in the northwest is superior to that in the southeast; (2) when viewed over time, the annual mean value of NDVI over the last 32 years in Xinjiang is between 0.10 and 0.12. An observable change in phase exists. (3) The vegetation distribution pattern reveals that 25.89% of the total area of Xinjiang shows a trend towards improvement in vegetation cover. Degradation in the area under vegetation accounts for 18.00% of the total area in Xinjiang. Overall, NDVI trends remain relatively stable in Xinjiang. (4) From the point of sustainability, most of the changes in vegetation cover maintained the development trends that are currently observed, with anti-continuity in some areas. Areas showing a robust trend towards improvement accounted for 24.39% of the total area in Xinjiang, and the areas that continue to degenerate account for 15.73%. Additionally, 59.88% of the total area in Xinjiang is affected by serious degradation of vegetation and uncertain development. Research on the changes in NDVI spatial patterns in Xinjiang has theoretical and practical significance for this arid region.
Keywords:Xinjiang Province  vegetation cover change  trend analysis
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