摘要
陆地表面物候(Land Surface Phenology,LSP)被定义为陆地表面植被的生命周期事件在区域或全球尺度上的各季节时间,对于中国温带地区的植被物候,已有研究大多仅针对某一地区的单一植被类型,对长时间、大尺度的陆表物候时空变化的研究较为少见,植被物候对总初级生产力(Gross Primary Productivity,GPP)的影响也有待明确。采用2001～2014年中等分辨率成像光谱仪MODIS的MCD12Q2数据以及MOD17A3 GPP数据,利用回归分析以及相关分析的方法对中国温带地区(>30°N)植被物候期时空变化特征进行分析,并研究物候变化对GPP的影响。结果表明:我国温带地区整体植被生长季开始日期(Start of the Season,SOS)、结束日期(End of the Season,EOS)和生长季长度(Length of the Season,LOS)的14 a平均值和标准差分别为第121±10 d、第270±12 d和153±12 d;SOS提前趋势(r=-0.36,p=0.21)、EOS滞后趋势(r=0.41,p=0.15)与LOS增长趋势(r=0.51,p=0.06)均不明显;但是年均LOS与GPP相关性显著(r=0.74,p=0.002 5),且呈正相关关系。2001～2014年LOS与GPP年均值的空间分布均呈现出由西北向东南增加的趋势;研究区SOS、EOS与LOS的年际变化呈现显著变化(p<0.05)的地区分别占研究区的13%、21%、13.2%。SOS、EOS、LOS与GPP显著相关(p<0.05)的地区分别占研究区的8.31%、9.33%、8.72%,三者与GPP的相关关系均以中度相关为主(p<0.05,0.5<|r|<0.8),二者高度相关(p<0.05,|r|≥0.8)的地区很少。研究区植被物候期变化显著影响(p<0.05)植被年均GPP的地区仅有4.29%。
Land surface phenology is defined as the seasonal timing of life cycle events of vegetated land surface on local or global scale.Most studies of vegetation phenology in China’s temperate zone are focused on single vegetation type in certain area,the studies about long-time vegetation phenology on large scale is rare.The influence of vegetation phenology on GPP(gross primary productivity)remains to be determined.Using Moderate Resolution Imaging Spectroradiometer(MODIS)MCD12 Q2 data from 2001 to 2014,start of growing season(SOS),end of growing season(EOS)and length of growing season(LOS)in temperate China(>30°N)are obtained.GPP from MODIS MOD17 A3 data for the same period is also obtained.Using regression analysis and correlation analysis methods,spatial and temporal patterns of SOS,EOS and LOS are analyzed.The impacts of SOS,EOS and LOS on interannual variability of GPP are also analyzed.Results show that the average and standard deviation of SOS,EOS and LOS from 2001 to 2014 are 121±10,270±12 and 153±12 days,respectively.The trend of earlier SOS,delayed EOS and increased LOS are not significant(p>0.05),but LOS shows positively correlated to GPP.The spatial distribution of annual average LOS and GPP from 2001 to 2014 presents an increase trend from northwest to southeast.Regions with significant interannual variation(p<0.05)of SOS,EOS and LOS are 13% ,21% and 13.2% ,respectively.Regions of significant correlation(p<0.05)of SOS,EOS and LOS to GPP account for 8.31% ,9.33% and 8.72% of the study area.GPP has mainly medium correlations(p<0.05,0.5<|r|<0.8)to SOS,EOS and LOS.
作者
王莹莹
袁金国
张莹
吴朝阳
Wang Yingying;Yuan Jinguo;Zhang Ying;Wu Chaoyang(College of Resources and Environmental Sciences,Hebei Normal University,Shijiazhuang 050024,China;Laboratory of Environmental Evolution and Ecological Construction in Hebei Province,Shijiazhuang 050024,China;Institute of Geographic Sciences and Natural Resources Research,Chinese Acdemy of Sciences,Beijing 100101,China)
出处
《遥感技术与应用》
CSCD
北大核心
2019年第2期377-388,共12页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(41522109
41471091)
国家重点研发计划项目(2016YFD0801005-3)
河北师范大学重点基金项目(130539)
河北省高校重点学科建设项目
