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生态学杂志 ›› 2009, Vol. 28 ›› Issue (09): 1773-1778.

• 研究报告 • 上一篇    下一篇

1982—2003年贵州省植被覆盖变化及其对气候变化的响应

郑有飞1,2**;牛鲁燕1,2;吴荣军1,2;吴战平3;骆兴江4;蔡子颖1,2   

  1. 1江苏省气象灾害重点实验室|南京 210044;2南京信息工程大学环境科学与工程学院|南京 210044;3贵州省山地环境气候研究所|贵阳 550044;494926部队
  • 出版日期:2009-09-10 发布日期:2009-09-10

Vegetation cover change in Guizhou of Southwest China in 1982-2003 in response to climate change.

ZHENG You-fei1,2|NIU Lu-yan1,2;WU Rong-jun1,2|WU Zhan-ping3|LUO Xing-jiang4;CAI Zi-ying1,2   

  1. 1Jiangsu Key Laboratory of Meteorological Disaster, Nanjing 210044, China|2College of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China|3Guizhou Inst
    itute of Mountain Environment Climate, 550044|494926 PLA Unit
  • Online:2009-09-10 Published:2009-09-10

摘要: 为了揭示贵州植被变化的基本特征及其对气候变化的响应,利用1982—2003年美国国家航天航空局(NASA)的全球植被指数变化研究数据(GIMMS NDVI)和相应的气候资料,通过对逐像元信息的提取和分析,运用回归和相关性分析的方法,研究了近22年来贵州植被覆盖变化及其与主要气候因子的关系。结果表明:1)研究区NDVI、温度和降水量均呈增加趋势,线性倾向率分别为0.001 (10a)-1、0.302 ℃·10a-1、12.776 mm·10a-1;2)月平均植被NDVI随温度呈线性上升趋势;与月平均降水量呈显著的抛物线关系,降水量对植被NDVI的作用存在一个阈值;3)温度与NDVI的年际变化趋势较为相似,具有同步性,年降水量与NDVI的年际变化存在一定的滞后性;4)贵州省不同植被类型对气候变化有不同的响应特征,同时,气温变化较降水量变化对植被变化有更为显著的影响。

关键词: 温州蜜柑, 光强, 叶绿素荧光, 状态转换, PQ库

Abstract: By using the 1982-2003 NASA data of Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Indices (NDVI) with a spatial resolution of 8 km as well as the historical climate data, and based on the extraction and analysis of pixel-to-pixel discrete information with the help of regression and correlation analysis, this paper studied the inter-annual variation of vegetation cover in Guizhou of Southwest China in 1982-2003 and the relationships between this variation and main climate factors, aimed to reveal the basic characteristics of Guizhou vegetation cover change and its responses to climate change. In the recent 22 years, the NDVI, air temperature, and precipitation in Guizhou exhibited an increasing trend, with a linear tendency being 0.001, 0.302 ℃, and 12.776 mm per decade, respectively. The mean monthly NDVI increased  with air temperature, and had a noticeable parabola relationship with mean monthly precipitation. There existed a threshold value in the effects of precipitation on NDVI. Air temperature and NDVI showed a synchronized inter-annual variation trend, while yearly precipitation displayed a certain lagging with the inter-annual variation of NDVI. Different types of land cover had different responses to climate change, and air temperature change had greater effects on the NDVI, compared to precipitation change.

Key words: Citrus unshiu, Light intensity, Chlorophyll fluorescence, State transition, PQ pool