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生态学杂志 ›› 2012, Vol. 31 ›› Issue (11): 2926-2934.

• 研究报告 • 上一篇    下一篇

安徽省2000—2009年不同类型植被的变化及其与气温、降水的关系

冯妍1,2,何彬方2,3**,唐怀瓯4,荀尚培2,3,吴必文2,3   

  1. (1南京大学大气科学学院, 南京 210093; 2 安徽省气象科学研究所, 合肥 230031; 3安徽省大气科学与卫星遥感重点实验室, 合肥 230031;4 安徽省气象信息中心, 合肥 230031)
  • 出版日期:2012-11-10 发布日期:2012-11-10

Variation patterns of different types of vegetation in Anhui Province of East China in 2000-2009 in relation to air temperature and precipitation.

FENG Yan1,2, HE Bin-fang2,3**, TANG Huai-ou4, XUN Shang-pei2,3, WU Bi-wen2,3   

  1. (1College of Atmospheric Science, Nanjing University, Nanjing 210093, China; 2Anhui Institute of Meteorological Sciences, Hefei 230031, China; 3Anhui Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Hefei 230031, China; 4Anhui Meteorological Information Center, Hefei 230031, China)
  • Online:2012-11-10 Published:2012-11-10

摘要: 为了了解安徽省不同类型植被与气候环境因子的关系,利用2000—2009年的逐月MODIS/NDVI数据、安徽省80个气象站逐日气温、降水资料和安徽省土地覆盖数据,研究了安徽省近10年来植被指数的时空变化特征及其与气温、降水的相关性。结果表明:近10年来,安徽省各覆盖类型的植被指数变化趋势不一致,作物种植区和城镇的植被指数增加显著,其他覆盖类型的植被指数变化不显著;林地的平均植被指数最高,作物种植区次之,城镇最低;植被指数的月变化在作物种植区呈现双峰型,而其他覆盖类型呈现单峰型。安徽省月平均NDVI分别与月平均气温、月降水量呈显著线性正相关和非线性正相关,降水量对植被NDVI的作用存在一个阈值,但年际关系均呈弱正相关。植被指数与气温的偏相关系数林地最高,作物种植区最低,自然植被区的偏相关系数较人工植被区的大,植被指数与降水的偏相关系数恰好相反。安徽省淮北平原中部和江淮之间北部大部分地区(非水浇地)的植被是由气温和降水的共同作用驱动;淮北中部少数格点和少数水体格点的植被是单独由降水作用驱动;除一些水面的格点是非气象因子驱动外,其他大部分地区的植被是单独由气温作用驱动。

关键词: 热扩散法, 树干液流, 河岸杨树林, 土壤水, 浅层地下水

Abstract: In order to understand the responses of different types of vegetation in Anhui Province of East China to climate elements, this paper analyzed the recent ten years spatiotemporal variation patterns of the vegetations and their correlations with air temperature and precipitation, based on the monthly Normalized Difference Vegetation Index (NDVI) data from Moderate Resolution Imaging Spectroradiometer (MODIS), the daily temperature/precipitation data from 80 meteorological stations, and the land cover data in 2000-2009. The results showed that in recent ten years, the vegetation index of different land cover types in the Province had different change trends. The vegetation index increased significantly in crop planting area and cities, but had less change in other areas. Forestland had the highest average vegetation index, followed by crop planting area, and then, urban area. The monthly variation of the vegetation index presented a doublepeak pattern in crop planting area, but a singlepeak pattern for other land cover types. The monthly average NDVI in the Province had a significant positive linear correlation with the monthly mean temperature, and a positive nonlinear correlation with the monthly total precipitation. A threshold value of precipitation existed in its effect on NDVI. There was a weak positive correlation between the NDVI and the inter-annual change of temperature/precipitation. The partial correlation coefficient between vegetation index and air temperature was the maximum in forestland and the minimum in crop planting area, and was larger in natural vegetation area than in artificial vegetation area. The partial correlation coefficient between vegetation index and precipitation was contrary. In the majority area of middle Huaibei plain and northern Jianghuai (nonirrigable land), the vegetation was co-driven by air temperature and precipitation; in some minority middle Huaibei plain grids and water grids, the vegetation was solely driven by precipitation; and in the other areas, the vegetation was solely driven by air temperature, except in some water grids, it was driven by nonclimate factors.

Key words: thermal dissipation probe, sap flow, riparian poplar plantation., shallow groundwater, soil water