两叶光能利用率模拟结果与全球GPP产品的时空一致性
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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).
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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[2] CHAPIN F S,MATSON P A,MOONEY H A.Principles of terrestrial ecosystem ecology[M].New York:Springer,2011.
[3] TURNER D P,OLLINGER S V,KIMBALL J S.Integrating remote sensing and ecosystem process models for landscape-to regional-scale analysis of the carbon cycle[J].Bioscience,2004,54(6):573-584.
[4] POTTER C S,RANDERSON J T,FIELD C B,et al.Terrestrial ecosystem production:a process model based on global satellite and surface data[J].Global Biogeochemical Cycles,1993,7(4):811-841.
[5] RUNNING S W,NEMANI R R,HEINSCH F A,et al.A continuous satellite-derived measure of global terrestrial primary production[J].Bioscience,2004,54(6):547-560.
[6] XIAO X M,ZHANG Q Y,BRASWELL B,et al.Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data[J].Remote Sensing of Environment,2004,91(2):256-270.
[7] YUAN W P,LIU S G,ZHOU G S,et al.Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes[J].Agricultural & Forest Meteorology,2007,143(3):189-207.
[8] DE P D,FARQUHAR G D,DGG D P.Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models[J].Plant Cell & Environment,2010,20(5):537-557.
[9] LANOTTE R,MAGGIOLO-SCHETTINI A.A two-leaf model for canopy conductance,photosynthesis and partitioning of available energy I:model description and comparison with a multi-layered model[J].Agricultural & Forest Meteorology,1998,91(1/2):89-111.
[10] PROPASTIN P,IBROM A,KNOHL A,et al.Effects of canopy photosynthesis saturation on the estimation of gross primary productivity from MODIS data in a tropical forest[J].Remote Sensing of Environment,2012,121:252-260.
[11] CHEN J M,LIU J,CIHLAR J,et al.Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications[J].Ecological Modelling,1999,124(2 3):99-119.
[12] HE M Z,ZHOU Y L,JU W M,et al.Evaluation and improvement of MODIS gross primary productivity in typical forest ecosystems of East Asia based on eddy covariance measurements[J].Journal of Forest Research,2013,18(1):31-40.
[13] 吴小翠.中国地区辐射变化对陆地生态系统总初级生产力的影响[D].南京:南京大学,2015.
[14] ZHOU Y L,WU X C,JU W M,et al.Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites:TL-LUE parameterization and validation[J].Journal of Geophysical Research:Biogeosciences,2017,121(4):1045-1072.
[15] ZAN M,ZHOU Y L,JU W M,et al.Performance of a two-leaf light use efficiency model for mapping gross primary productivity against remotely sensed sun-induced chlorophyll fluorescence data[J].Science of the Total Environment,2018,613/614:977-989.
[16] 刘青瑞.中国陆地生态系统总初级生产力变化趋势及成因分析[D].南京:南京大学,2017.
[17] JUNG M,REICHSTEIN M,BONDEAU A.Towards global empirical upscaling of FLUXNET eddy covariance observations:validation of a model tree ensemble approach using a biosphere model[J].Biogeosciences,2009,6(10):2001-2013.
[18] GUANTER L,ZHANG Y G,JUNG M,et al.Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence[J].Proceedings of the National Academy of Sciences of the United States of America,2014,111(14):1327-1333.
[19] JIANG C Y,RYU Y.Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from breathing earth system simulator (BESS)[J].Remote Sensing of Environment,2016,186:528-547.
[20] FRANKENBERG C,FISHER J B,WORDEN J W,et al.New global observations of the terrestrial carbon cycle from GOSAT:patterns of plant fluorescence with gross primary productivity[J].Geophysical Research Letters,2011,38(17):351-365.
[21] ZHANG Y G,GUANTER L,BERRY J A,et al.Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models[J].Global Change Biology,2014,20(12):3727-3742.
[22] DENG F,CHEN J M,PLUMMER S,et al.Algorithm for global leaf area index retrieval using satellite imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(8):2219-2229.
[23] 柳艺博.基于遥感和过程模型的中国陆地生态系统水分利用效率时空变化特征研究[D].南京:南京大学,2013.
[24] 于贵瑞,伏玉玲,孙晓敏,等.中国陆地生态系统通量观测研究网络(ChinaFLUX)的研究进展及其发展思路[J].中国科学D辑:地球科学,2006,36(s1):1-21.
[25] 于贵瑞,孙晓敏.陆地生态系统通量观测的原理与方法[M].北京:高等教育出版社,2006.
[26] CHEN J M,DENG F,CHEN M Z.Locally adjusted cubic-spline capping for reconstructing seasonal trajectories of a satellite-derived surface parameter[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(8):2230-2238.
[27] BOSCH J L,LóPEZ G,BATLLES F J.Global and direct photosynthetically active radiation parameterizations for clear-sky conditions[J].Agricultural and Forest Meteorology,2009,149(1):146-158.
[28] 牛忠恩,闫慧敏,陈静清,等.基于VPM与MOD 17产品的中国农田生态系统总初级生产力估算比较[J].农业工程学报,2016(4):191-198.
[29] ZHANG Y Q,YU Q,JIE J,et al.Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau[J].Global Change Biology,2008,14(4):757-767.
[30] 陈静清,闫慧敏,王绍强,等.中国陆地生态系统总初级生产力VPM遥感模型估算[J].第四纪研究,2014,34(4):732-742.
[31] LI X R,ZHU Z C,ZENG H,et al.Estimation of gross primary production in China (1982-2010) with multiple ecosystem models[J].Ecological Modelling,2016,324:33-44.
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