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作 者:姜海梅 叶昊天[1,2] 王若静 郝勇[1,2] 王成刚 曹乐 JIANG Haimei;YE Haotian;WANG Ruojing;HAO Yong;WANG Chenggang;CAO Le(Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing 210044;School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044;Xilinhaote National Climatological Observatory,Xilinhot 026000)
机构地区:[1]中国气象局气溶胶与云降水重点开放实验室,南京210044 [2]南京信息工程大学大气物理学院,南京210044 [3]锡林浩特国家气候观象台,锡林浩特026000
出 处:《北京大学学报(自然科学版)》2019年第6期1029-1037,共9页Acta Scientiarum Naturalium Universitatis Pekinensis
基 金:国家重点研发计划(2017YFC0209801);国家自然科学基金(41505006)资助
摘 要:利用2010—2013年锡林浩特国家气候观象台涡动相关通量观测系统数据以及MODIS产品数据,验证基于增强型植被指数(EVI)、陆地表面水分指数(LSWI)和地表温度(LST)的生态系统呼吸模型在内蒙古半干旱草原的适应性,并探讨该遥感生态系统呼吸模型存在的问题。结果表明:生态系统呼吸模型能较好地模拟夜间生态系统呼吸速率(Reco)在生长季内和年际间的变化,模拟值与观测值吻合较好(R^2=0.90,RMSE=0.02mgCO2/(m^2·s));夜间Reco的观测值与EVIs×Ws(EVIs和Ws分别是EVI和LSWI对光合作用的影响函数)呈较显著的线性相关(R^2=0.63),与LST的关系基本上满足L-T方程(R^2=0.39);夜间Reco在生长季的前、中、后期对EVIs×Ws和LST的响应不同是造成模型误差的重要原因之一。Eddy covariance data from Xilinhaote National Climatological Observatory in Xilin Gol League during growing seasons of 2010—2013 as well as MODIS data were used to validate an ecosystem respiration model based on enhanced vegetation index(EVI),land surface water index(LSWI)and land surface temperature(LST)in a semi-arid grassland of Inner Mongolia.The limitations of this remote sensing respiration model were also discussed.The results indicate that this model can successfully simulate the variations of nocturnal ecosystem respiration(Reco)in the growing seasons and between different years.The simulated nocturnal Reco also agreed remarkably with the observed Reco(R^2=0.90,RMSE=0.02 mgCO2/(m^2·s)).Moreover,the observed nocturnal Reco showed a good linear correlation with EVIs×Ws(R^2=0.63),in which EVIs and Ws are response functions of EVI and LSWI on photosynthesis,respectively.The response of nocturnal Reco to LST was also found following the L-T equation(R^2=0.39).In addition,the difference between responses of nocturnal Reco to EVIs×Ws and LST in the early,middle and late stages of the growing season is indicated as one principal source of the deviations of model results.
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