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干旱区地理 ›› 2018, Vol. 41 ›› Issue (3): 553-563.

• 生物与土壤 • 上一篇    下一篇

1981-2015年新疆生产建设兵团植被生长变化特征

闫峰, 卢琦, 吴波, 崔向慧   

  1. 中国林业科学研究院荒漠化研究所, 北京 100091
  • 收稿日期:2018-01-20 修回日期:2018-03-25 出版日期:2018-05-25
  • 作者简介:闫峰(1973-),男,江苏连云港人,副研究员,主要研究方向为环境遥感与灾害学.E-mail:njuyf@163.com
  • 基金资助:
    国家重点研发计划项目(2017YFC0504502);中央级公益性科研院所基本科研业务费专项(CAFYBB2018ZA004)

Characteristics of vegetation growth in Xinjiang Production and Construction Corps in 1981-2015

YAN Feng, LU Qi, WU Bo, CUI Xiang-hui   

  1. Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
  • Received:2018-01-20 Revised:2018-03-25 Online:2018-05-25

摘要: 新疆生产建设兵团的农垦事业为新疆的经济发展和社会稳定做出了重大贡献,研究其植被生长变化特征对于评价当地农垦发展和生态环境状况具有重要意义。采用1981-2015年GIMMS-NDVI和MODIS-NDVI数据对新疆生产建设兵团植被生长时空状况进行了研究,结果显示:(1)兵团植被在年内生长变化方面与气温变化趋势相一致;年际变化方面,NDVI在2007、2008、2010、2012年和2013年相对较高,1982-1986年和1989年相对较低;年代际变化方面,植被生长在20世纪80年代相对较差、90年代次之、2000-2009年相对较好、2010-2015年最好。(2)空间格局差异方面,植被生长状况呈变差趋势的面积占总面积的37.69%,主要分布在各团场驻地建筑区,植被生长状况趋于改善的面积占总面积的62.31%,主要分布在团场驻地周边地区;兵团植被生长状况以轻度、中度和特重度波动改善为主,分别占总面积的17.29%、15.55%和12.35%,重度和特重度波动退化面积最小,仅占总面积的5.12%和2.11%。

关键词: 植被指数, 生长状况, 时空特征, 新疆生产建设兵团

Abstract: The reclamation by Xinjiang Production and Construction Corps(XPCC) has made great contribution to the economic development and social stability in Xinjiang, China. Especially since XPCC reorganization in 1981, agriculture, industry and mining in the areas of XPCC have been developed more rapidly. Along with this development, the land use and land cover change have also reached a significant level. Studying the spatialtemporal characteristics of vegetation growth is of great significance for evaluating the local reclamation development and ecological environment. In this paper, temporal series of GIMMS-NDVI and MODIS-NDVI data in the period from 1981 to 2015 were used as data source, and the methods including the linear fitting slope, standard deviation and coefficient of variation were used to analyze the characteristics of vegetation growth status in the areas of XPCC. The results showed as follows:(1)the variation of vegetation growth and the variation of annual mean temperature were relatively consistent within a year. The NDVI value was the lowest in winter, got increased from spring, and reached the peak in summer and then got decreased in autumn. During winter, the NDVI in December, January and February were 0.088, 0.054 and 0.066, respectively. And during summer, the NDVI in June, July and August were 0.326, 0.350 and 0.334, respectively.(2) The NDVI showed an increasing trend by an average of 0.003·a-1 in the period from 1981 to 2015 and the vegetation coverage and growth were kept improving. The number of years with positive anomaly of NDVI was 19, of which the values in 2007, 2008, 2010, 2012 and 2013 were relatively higher. While the number of years with negative anomaly of NDVI was 16, of which the values in 1982 to1986 and 1989 were relatively lower. In terms of interdecadal variations, the NDVI value was the lowest in 1980s, lower in 1990s, higher in the period from 2000 to 2009 and the highest from 2010 to 2015.(3) The spatial patterns of vegetation growth were different in the whole region of XPCC. The areas with a decreasing trend of vegetation growth status accounted for 37.69%, which were mainly the towns and cities. The areas with an increasing trend were mainly located in farmland and forest, accounting for 62.31%. From the improving perspective, three categories were defined as having mild, moderate and severe improving fluctuation which accounted for 17.29%, 15.55% and 12.35% of the total area, respectively. On the decreasing trend, the areas with severe and extreme severe fluctuations accounted for 5.12% and 2.11% respectively of the whole region of XPCC.(4)Temperature and precipitation were important factors affecting the vegetation growth of in the areas of XPCC. Annual average temperature showed a gradually increasing trend with an average speed of 0.037℃·a-1. The correlation coefficient between NDVI and temperature in the period from 1981 to 2015 was 0.548. Annual precipitation showed a gradually increasing trend with an average speed of 0.947 mm·a-1. The correlation coefficient between NDVI and the accumulative precipitation for two consecutive years in the period from 1981 to 2015 was 0.503.(5)Besides the air temperature and precipitation, some human factors such as crop sown area, effective irrigation area, the increase of fertilization rate, effective agroforestry infrastructures and positive ecological policies e.g. "Three-North Shelterbelt" project and The Grain-to-Green Program were also the main driving forces for the improvement of vegetation growth after the reform and opening-up in XPCC.

Key words: NDVI, growth status, spatial-temporal characteristics, XPCC

中图分类号: 

  • P534.63