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应用生态学报 ›› 2010, Vol. 21 ›› Issue (05): 1153-1158.

• 第六届全国景观生态学学术研讨会会议专栏 • 上一篇    下一篇

用回归树模型分析陕北黄土丘陵沟壑区气候因子对NDVI变异的影响

刘 洋1,2;吕一河2;郑海峰2,3;陈利顶2**   

  1. 1中国科学院城市环境研究所,福建厦门 361003;2中国科学院生态环境研究中心,北京 100085;3中国科学院东北地理与农业生态研究所,长春 130012
  • 出版日期:2010-05-20 发布日期:2010-05-20

Application of regression tree in analyzing the effects of climate factors on NDVI in loess hilly area of Shaanxi Province.

LIU Yang1,2;LÜ|Yi-he2;ZHENG Hai-feng2,3;CHEN Li-ding2   

  1. 1Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361003, Fujian, China;2Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;3Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China
  • Online:2010-05-20 Published:2010-05-20

摘要: 基于延安市1998年4月到2008年7月SPOT VEGETATION的旬合成NDVI数据,以及同时期延安市的气象资料,用回归树法分析了影响该地区NDVI年内及年际变异的主要气象因子.结果显示:各气象因子对NDVI变异性的影响随季节及滞后时间的不同而不同;气温和降水是影响NDVI年内变异的主要气象因子;导致NDVI年际变异的气象因子为平均最高气温.回归树在判断影响NDVI的主要气象因子方面具有较强的优势,但它无法建立气象因子与NDVI之间的定量表达关系,从而限制了对其更加广泛的应用.

关键词: 黄土丘陵沟壑区, 气候, NDVI, 回归树, 红皮云杉, 树轮, 气候变暖, 生长衰退, 土壤温度

Abstract: Based on the 10-day SPOT VEGETATION NDVI data and the daily meteorological data from 1998 to 2007 in Yan’an City, the main meteorological variables affecting the annual and interannual variations of NDVI were determined by using regression tree. It was found that the effects of test meteorological variables on the variability of NDVI differed with seasons and time lags. Temperature and precipitation were the most important meteorological variables affecting the annual variation of NDVI, and the average highest temperature was the most important meteorological variable affecting the inter-annual variation of NDVI. Regression tree was very powerful in determining the key meteorological variables affecting NDVI variation, but could not build quantitative relations between NDVI and meteorological variables, which limited its further and wider application.

Key words: loess hilly area, climate, NDVI, regression tree, Picea koraiensis, tree ring, climate warming, growth decline, soil temperature.