摘要
利用MODIS遥感数据、站点实测气象数据和通量观测数据,基于两叶光能利用率模型(TL-LUE),模拟2000—2011年500 m分辨率的中国总初级生产力(GPP_TL),分别比较GPP_TL与全球GPP产品Fluxcom GPP(GPP_MPI)在站点和区域的一致性。结果表明:GPP_TL和GPP_MPI均与站点实测GPP具有较好的一致性,GPP_TL相较于GPP_MPI提高了GPP模拟精度(R~2提高了0.155,E_(RMS)减小了0.650 g C/(m~2·d);2000—2011年全国GPP的空间分布东南沿海最高,依次向西北内陆递减;年际波动在西北内陆较大,在东北与华南地区较小;在一年的范围内,全国GPP总量呈现明显夏高冬低的规律;2000—2011年全国GPP_TL与GPP_MPI的月总量呈显著正相关(R~2=0.990,E_(RMS)=0.097 P g C/month);GPP_TL与GPP_MPI在73.0%的植被区域年均值差值在±400 g C/(m~2·a)以内,在94.4%的植被区域月均值(全年)呈显著正相关(R~2=0.692)。
Based on two-leaf light use efficiency model(TL-LUE), gross primary productivity(GPP_TL) with 500 m resolution in China from 2000 to 2011 was calculated by using MODIS remote sensing data, observed meteorological data and flux data. The consistency between GPP_TL and global GPP products-Fluxcom GPP(GPP_MPI)in sites and regions was compared. The results showed that GPP_TL and GPP_MPI had good consistency with GPP measured at sites, and GPP_TL improved GPP simulation accuracy compared with GPP_MPI(R~2 increased 0.155, E_(RMS) decreased 0.650 g C/(m~2·d); from 2000 to 2011, the spatial distribution of GPP in the Southeast coast of China was the highest, and decreased in turn to the Northwest inland; the annual fluctuation was larger in the Northwest inland, but smaller in the Northeast and South China; within a year, the total amount of GPP in the whole country presented a clear law of high summer and low winter; the monthly total of GPP_TL and GPP_MPI in China in the past 12 years was significantly positively correlated(R~2=0.990,E_(RMS)=0.097 P g C/month); The annual mean difference between GPP_TL and GPP_MPI in 73.0% vegetation area was within 400 g C/(m~2·a); the monthly mean of GPP_TL and GPP_MPI in 94.4% vegetation area was significantly positively correlated(R~2=0.692).
引文
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