在气候变化和人类活动的综合影响下,青海省生态环境发生了明显变化。在此背景下,以GIMMS NDVI 3g.v1为数据源,采用Sen+Mann-Kendal方法研究青海省1982-2015年植被覆盖区域NDVI时空变化,将趋势分析和R/S(rescaled range analysis)分析叠...在气候变化和人类活动的综合影响下,青海省生态环境发生了明显变化。在此背景下,以GIMMS NDVI 3g.v1为数据源,采用Sen+Mann-Kendal方法研究青海省1982-2015年植被覆盖区域NDVI时空变化,将趋势分析和R/S(rescaled range analysis)分析叠加,研究植被生长季NDVI变化的持续性特征,并揭示植被对气候变化及人类活动的响应规律。结果表明:1)近34年青海省植被NDVI整体呈从西北到东南的增加趋势;且变异系数显示,波动性较大地区集中在柴达木盆地周边和青南牧区西北部等植被NDVI较低的区域,波动性较小地区集中在祁连山东部、东部农业区和青南牧区东南部等植被NDVI较高的区域。2)近34年青海省植被NDVI整体呈增加趋势,增长率为0.38%·10a^(-1);且NDVI变化具有明显的阶段性,存在1994年和2000年两个突变点。3)近34年青海省植被改善区域(75.4%)远大于退化区域(24.6%),其中显著改善面积占植被覆盖区域面积的40.9%,退化区随时间变化在空间上表现出明显的转移现象。4)Hurst指数表明,青海省植被变化反持续性较强,趋势分析与Hurst指数叠加得出,由退化转为改善的区域占植被覆盖区面积的13.7%,由改善转为退化的区域占植被覆盖区面积的44.3%,另41.5%的区域无法确定未来变化趋势。5)青海省植被生长季NDVI受气候变化和人类活动的双重影响,且不同植被类型对气候变化的响应存在较大差异。展开更多
Variation in vegetation cover in Inner Mongolia has been previously studied by the remote sensing data spanning only one decade. However, spatial and temporal variations in vegetation cover based on the newly released...Variation in vegetation cover in Inner Mongolia has been previously studied by the remote sensing data spanning only one decade. However, spatial and temporal variations in vegetation cover based on the newly released GIMMS NDVI3g data spanning nearly thirty years have yet to be analyzed. In this study, we applied the methods of the maximum value composite （MVC） and Pearson＇s correlation coefficient to analyze the variations of vegetation cover in Inner Mongolia based on GIMMS NDVI3g data spanning from 1982 to 2013. Our results indicate that the normalized difference vegetation index （NDVI） increased at a rate of 0.0003/a during the growing seasons despite of the drier and hotter climate in Inner Mongolia during the past three decades. We also found that vegetation cover in the southern agro-pastoral zone significantly increased, while it significantly decreased in the central Alxa. The variations in vegetation cover were not significant in the eastern and central regions. NDVI is positively correlated with precipitation （r=0.617, P=0.000） and also with air temperature （r=0.425, P=0.015）, but the precipitation had a greater effect than the air temperature on the vegetation variations in Inner Mongolia.展开更多
The purpose of this paper is to develop Advanced Very High Resolution Radiometer(AVHRR)Global Inventory Modelling and Mapping Studies(GIMMS)Normalised Difference Vegetation Index(NDVI;AVHRR GIMMS NDVI for short)based ...The purpose of this paper is to develop Advanced Very High Resolution Radiometer(AVHRR)Global Inventory Modelling and Mapping Studies(GIMMS)Normalised Difference Vegetation Index(NDVI;AVHRR GIMMS NDVI for short)based fraction of absorbed photosynthetically active radiation(FPAR)from 1982 to 2006 and focus on their seasonal and spatial patterns analysis.The available relationship between FPAR and NDVI was used to calculate FPAR values from 1982 to 2006 and validated by Moderate-resolution Imaging Spectroradiometer(MODIS)FPAR product.Then,the seasonal dynamic patterns were analysed,as well as the driving force of climatic factors.Results showed that there was an agreement between FPAR values from this study and those of the MODIS product in seasonal dynamic,and the spatial patterns of FPARvary with vegetation type distribution and seasonal cycles.The time series of average FPAR revealed a strong seasonal variation,regular periodic variations from January 1982 to December 2006,and opposite patterns between the Northern and Southern Hemispheres.Evergreen vegetation FPARvalues were close to 0.7.A clear single-peak curve was observed between 308N and 808N?an area covered by deciduous vegetation.In the Southern Hemisphere,the time series fluctuations of FPAR averaged by 0.78 latitude zones were not clear compared to those in the Northern Hemisphere.A significant positive correlation(PB0.01)was observed between the seasonal variation of temperature and precipitation and FPAR over most other global meteorological sites.展开更多
文摘在气候变化和人类活动的综合影响下,青海省生态环境发生了明显变化。在此背景下,以GIMMS NDVI 3g.v1为数据源,采用Sen+Mann-Kendal方法研究青海省1982-2015年植被覆盖区域NDVI时空变化,将趋势分析和R/S(rescaled range analysis)分析叠加,研究植被生长季NDVI变化的持续性特征,并揭示植被对气候变化及人类活动的响应规律。结果表明:1)近34年青海省植被NDVI整体呈从西北到东南的增加趋势;且变异系数显示,波动性较大地区集中在柴达木盆地周边和青南牧区西北部等植被NDVI较低的区域,波动性较小地区集中在祁连山东部、东部农业区和青南牧区东南部等植被NDVI较高的区域。2)近34年青海省植被NDVI整体呈增加趋势,增长率为0.38%·10a^(-1);且NDVI变化具有明显的阶段性,存在1994年和2000年两个突变点。3)近34年青海省植被改善区域(75.4%)远大于退化区域(24.6%),其中显著改善面积占植被覆盖区域面积的40.9%,退化区随时间变化在空间上表现出明显的转移现象。4)Hurst指数表明,青海省植被变化反持续性较强,趋势分析与Hurst指数叠加得出,由退化转为改善的区域占植被覆盖区面积的13.7%,由改善转为退化的区域占植被覆盖区面积的44.3%,另41.5%的区域无法确定未来变化趋势。5)青海省植被生长季NDVI受气候变化和人类活动的双重影响,且不同植被类型对气候变化的响应存在较大差异。
基金supported by the National Key Technology R&D Program of China(2013BAK05B01,2013BAK05B02)
文摘Variation in vegetation cover in Inner Mongolia has been previously studied by the remote sensing data spanning only one decade. However, spatial and temporal variations in vegetation cover based on the newly released GIMMS NDVI3g data spanning nearly thirty years have yet to be analyzed. In this study, we applied the methods of the maximum value composite （MVC） and Pearson＇s correlation coefficient to analyze the variations of vegetation cover in Inner Mongolia based on GIMMS NDVI3g data spanning from 1982 to 2013. Our results indicate that the normalized difference vegetation index （NDVI） increased at a rate of 0.0003/a during the growing seasons despite of the drier and hotter climate in Inner Mongolia during the past three decades. We also found that vegetation cover in the southern agro-pastoral zone significantly increased, while it significantly decreased in the central Alxa. The variations in vegetation cover were not significant in the eastern and central regions. NDVI is positively correlated with precipitation （r=0.617, P=0.000） and also with air temperature （r=0.425, P=0.015）, but the precipitation had a greater effect than the air temperature on the vegetation variations in Inner Mongolia.
基金funded by the National Basic Research Program of China(contract:2009CB723902),Key Project of Digital Earth Science Platform CEODE(contract:Y01002101A),National Natural Science Foundation of China(contract:41001205/D0106).The authors acknowledge the following data support:the AVHRR GIMMS NDVI from Global Land Cover Facility(GLCF)Globcover products from European Space Agency(ESA)and the ESA Globcover Project led by Medium Resolution Imaging Spectrometer Instrument(MERIS)France+1 种基金temperature,precipitation from National Climatic Data Center(NCDC)MODIS FPAR product from the Warehouse Inventory Search Tool provides access to a complete data record of all MODIS and ASTER products available from the LP DAAC,respectively.
文摘The purpose of this paper is to develop Advanced Very High Resolution Radiometer(AVHRR)Global Inventory Modelling and Mapping Studies(GIMMS)Normalised Difference Vegetation Index(NDVI;AVHRR GIMMS NDVI for short)based fraction of absorbed photosynthetically active radiation(FPAR)from 1982 to 2006 and focus on their seasonal and spatial patterns analysis.The available relationship between FPAR and NDVI was used to calculate FPAR values from 1982 to 2006 and validated by Moderate-resolution Imaging Spectroradiometer(MODIS)FPAR product.Then,the seasonal dynamic patterns were analysed,as well as the driving force of climatic factors.Results showed that there was an agreement between FPAR values from this study and those of the MODIS product in seasonal dynamic,and the spatial patterns of FPARvary with vegetation type distribution and seasonal cycles.The time series of average FPAR revealed a strong seasonal variation,regular periodic variations from January 1982 to December 2006,and opposite patterns between the Northern and Southern Hemispheres.Evergreen vegetation FPARvalues were close to 0.7.A clear single-peak curve was observed between 308N and 808N?an area covered by deciduous vegetation.In the Southern Hemisphere,the time series fluctuations of FPAR averaged by 0.78 latitude zones were not clear compared to those in the Northern Hemisphere.A significant positive correlation(PB0.01)was observed between the seasonal variation of temperature and precipitation and FPAR over most other global meteorological sites.
