植物生态学报 ›› 2019, Vol. 43 ›› Issue (4): 331-341.doi: 10.17521/cjpe.2018.0254

• 研究论文 • 上一篇    下一篇

锡林郭勒植被NDVI时空变化及其驱动力定量分析

史娜娜,肖能文,王琦,韩煜,高晓奇,冯瑾,全占军()   

  1. 中国环境科学研究院国家环境保护区域生态过程与功能评估重点实验室, 北京 100012
  • 收稿日期:2018-10-16 修回日期:2019-04-15 出版日期:2019-04-20 发布日期:2019-05-30
  • 通讯作者: 全占军 E-mail:quanzj@craes.org.cn
  • 基金资助:
    国家重点研发计划(2016YFC0501108-5);国家重点研发计划(2016YFC0501101-3)

Spatio-temporal dynamics of normalized differential vegetation index and its driving factors in Xilin Gol, China

SHI Na-Na,XIAO Neng-Wen,WANG Qi,HAN Yu,GAO Xiao-Qi,FENG Jin,QUAN Zhan-Jun()   

  1. State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • Received:2018-10-16 Revised:2019-04-15 Online:2019-04-20 Published:2019-05-30
  • Contact: QUAN Zhan-Jun E-mail:quanzj@craes.org.cn
  • Supported by:
    Supported by the National Key R&D Program of China(2016YFC0501108-5);Supported by the National Key R&D Program of China(2016YFC0501101-3)

摘要:

定量评价归一化植被指数(NDVI)变化特征及其驱动机制, 对了解区域生态变化特征, 促进区域生态与社会经济的可持续发展具有重要作用。该文利用MODIS-NDVI数据, 采用趋势分析法探讨了锡林郭勒2000-2015年生长季植被NDVI时空格局; 然后, 将各驱动因子的空间影响面积与植被显著增加/减少区域进行空间叠加分析, 二者比例即为贡献率大小。结果表明: 研究区植被NDVI整体缓慢增加, 呈现“东北高西南低”的分布格局。NDVI显著增加面积大约是显著减少面积的2倍, 且在气候和人类活动的双重作用下, 植被NDVI表现出显著的空间异质性。在NDVI显著增加区域, 气候影响比例为47.79%, 且降水和气温影响比例相当; 禁牧及草畜平衡政策是最主要的人为影响因素, 占比69.55%。在NDVI显著减少区域, 气候因素占比52.55%, 且以降水影响为主; 人类活动占比24.73%。在NDVI显著增加区域, 人类活动的影响大于气候因素, 且二者耦合作用较突出。

关键词: 归一化植被指数, 驱动机制, 气候响应, 人类活动, 锡林郭勒

Abstract:
AimsQuantitative evaluation of the vegetation normalized differential vegetation index (NDVI) dynamics plays an important role in understanding of the characteristics of regional ecological environment change and realizing the harmonious and sustainable development between regional ecology and socio-economy.
MethodsThe study employed the supplementary trend analysis with MODIS-NDVI data, analyzed the spatio- temporal patterns of vegetation NDVI and the driving factors behind the changes in Xilin Gol during 2000-2015. Then, the ratio of the overlapped areas to the areas with significant NDVI changes was defined as the contribution rate.
Important findings 1) NDVI represented a slow vegetation increase trend and showed a “Northeast high and Southwest low” spatio-temporal pattern. The NDVI significantly increased area was twice of the area significantly reduced. 2) The vegetation NDVI showed a significant spatial heterogeneity under the dual effects of climate and human activities. In the area of NDVI significantly increased, climate factor accounted for 47.79% of the causes, and the precipitation and temperature make nearly equal contributions while the policies of grazing prohibition and balance management between grass and livestock is the most important human factor, accounting for 69.55% of the causes. 3) In the area of NDVI significantly reduced, climate factors accounted for 52.55% of the causes, in which precipitation was the main factor among all. Human activities accounted for 24.73% of the causes. 4) In the area of NDVI significantly increased, the impact of human activities is greater than that of climatic factors, and the coupling effect between them is prominent.

Key words: normalized differential vegetation index, driving mechanism, climate response, human activity, Xilin Gol