基于VPM模型的长白山自然保护区植被总初级生产力动态变化
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摘要
总初级生产力(GPP)是碳循环的重要参数,它的准确估算对碳循环及全球气候变化研究有重要作用.利用VPM模型及2000—2015年MOD09A1数据/气候因子的空间数据,对长白山自然保护区的植被GPP进行模拟.结果表明:2000—2015年,保护区GPP年均值为1203 g C·m~(-2)·a~(-1),GPP呈极显著趋势增长.森林植被GPP年际增长变化在不同植被垂直带下没有显著区别,但从高山苔原带往上,GPP年际增长明显减小.GPP与降水的年际相关性不显著,与温度的正相关关系集中分布在阔叶红松林带和高山苔原带.春季气温对GPP影响最大,有80%像元显示与气温呈正相关.GPP与温度的年际相关性明显高于降水.
Precise estimation of gross primary productivity(GPP), the key parameter in carbon cycle analysis, plays an important role in the research of carbon cycle and global climate change. Vegetation GPP was simulated by VPM model based on MOD09 A1 and climate data in Changbai Mountain Natural Reserve from 2000 to 2015. The results showed that mean GPP was 1203 g C·m~(-2)·a~(-1). The annual vegetation GPP significantly increased from 2000 to 2015. There was no significant difference in the temporal trends of forest GPP at different vertical vegetation zones. However, GPP of the alpine tundra decreased remarkably. The correlation between GPP and precipitation was not significant. The positive correlation of GPP and temperature was mainly distributed in broad-leaved Korean pine forests and alpine tundra. Spring temperature had the strongest influence on GPP, with 80% pixels had a positive correlation with temperature. The GPP had a stronger correlation with temperature compared with precipitation.
Precise estimation of gross primary productivity(GPP), the key parameter in carbon cycle analysis, plays an important role in the research of carbon cycle and global climate change. Vegetation GPP was simulated by VPM model based on MOD09 A1 and climate data in Changbai Mountain Natural Reserve from 2000 to 2015. The results showed that mean GPP was 1203 g C·m~(-2)·a~(-1). The annual vegetation GPP significantly increased from 2000 to 2015. There was no significant difference in the temporal trends of forest GPP at different vertical vegetation zones. However, GPP of the alpine tundra decreased remarkably. The correlation between GPP and precipitation was not significant. The positive correlation of GPP and temperature was mainly distributed in broad-leaved Korean pine forests and alpine tundra. Spring temperature had the strongest influence on GPP, with 80% pixels had a positive correlation with temperature. The GPP had a stronger correlation with temperature compared with precipitation.
引文
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[25] Xiao XM,Zhang QY,Saleska S,et al.Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest.Remote Sensing of Environment,2005,94:105-122
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[29] Wu W-X (伍卫星),Wang S-Q (王绍强),Xiao X-M (肖向明),et al.Simulation of gross primary producti-vity of temperate zone grassland ecosystem by using MODIS images and climate data in Inner Mongolia,China.Science in China Series D:Earth Sciences (中国科学:地球科学),2008,38 (8):993-1004 (in Chinese)
[30] Peng Y,Gitelson AA,Keydan G,et al.Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content.Remote Sensing of Environment,2011,115:978-989
[31] Hall FG,Hilker T,Coops NC.Data assimilation of photosynthetic light-use efficiency using multi-angular satellite data:I.Model formulation.Remote Sensing of Environment,2012,121:301-308
[32] Zhang Y,Xiao XM,Jin C,et al.Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America.Remote Sensing of Environment,2016,183:154-169
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[34] He J (何杰),Yang K (阳坤).China Meteorological Forcing Dataset.Lanzhou:Cold and Arid Regions Science Data Center,2011 (in Chinese)
[35] Guo J-T (郭金停),Hu Y-M (胡远满),Xiong Z-P (熊在平),et al.Spatiotemporal variations of growing-season NDVI and response to climate change in permafrost zone of Northeast China.Chinese Journal of Applied Ecology (应用生态学报),2017,28(8):2413-2422 (in Chinese)
[36] Lin S-R (林尚荣),Li J (李静),Liu Q-H (柳钦火).Overview on estimation accuracy of gross primary productivity with remote sensing methods.Journal of Remote Sensing (遥感学报),2018,22(2):234-252 (in Chinese)
[37] Zhang JH,Hu YL,Xiao XM,et al.Satellite-based estimation of evapotranspiration of an old-growth temperate mixed forest.Agricultural and Forest Meteorology,2009,149:976-984
[38] Wu JB,Xiao XM,Guan DX,et al.Estimation of the gross primary production of an old-growth temperate mixed forest using eddy covariance and remote sensing.International Journal of Remote Sensing,2008,30:463-479
[39] Li X (李霞),Li X-B (李晓兵),Yu F (喻锋),et al.The correlation between meteorological factors and NDVI in Northeastern China.Journal of Beijing Normal University (Natural Science) (北京师范大学学报:自然科学版),2005,41(4):425-430 (in Chinese)
[40] Yin H-J (尹华军).Effeets of Experimental Warming on Growth of Several Species Seedlings under Two Contrasting Light Conditions in Subalpine Coniferous Forest of Western Sichuan,China.PhD Thesis.Chengdu:Chengdu Institute of Biology,Chinese Academy of Sciences,2007 (in Chinese)
[2] Cheng C-X (程春晓),Xu Z-X (徐宗学),Wang Z-H (王志慧),et al.Temporal-spatial change simulation and analysis of net primary productivity in Northeast China from 2001 to 2010.Resources Science (资源科学),2014,36(11):2401-2412 (in Chinese)
[3] Christian B,Markus R,Enrico T,et al.Terrestrial gross carbon dioxide uptake:Global distribution and covariation with climate.Science,2010,329:834-838
[4] Fang J-Y (方精云),Ke J-H (柯金虎),Tang Z-Y (唐志尧),et al.Implication ations and estimations of four terrestrial productivity parameters.Acta Phytoecologica Sinica (植物生态学报),2004,25(4):414-419 (in Chinese)
[5] Yan M (闫敏),Li Z-Y (李增元),Tian X (田昕),et al.Remote sensing estimation of gross primary productivity and its response to climate change in the upstream of Heihe River Basin.Chinese Journal of Plant Ecology (植物生态学报),2016,40(1):1-12 (in Chinese)
[6] Ramakrishna RN,Charles DK,Hirofumi H,et al.Climate-driven increases in global terrestrial net primary production from 1982 to 1999.Science,2003,300:1560-1563
[7] Chen Z-H (陈正华),Ma Y-Q (麻源清),Wang J (王建),et al.Estimation of Heihe Basin net primary productivity using the CASA model.Journal of Natural Resources (自然资源学报),2008,23(2):263-273 (in Chinese)
[8] Lu L,Li X,Veroustraete F,et al.Analysing the forcing mechanisms for net primary productivity changes in the Heihe River Basin,Northwest China.International Journal of Remote Sensing,2009,30:793-816
[9] Mu S-J (穆少杰),Li J-L (李建龙),Zhou W (周伟),et al.Spatial-temporal distribution of net primary productivity and its relationship with climate factors in Inner Mongolia from 2001 to 2010.Chinese Journal of Applied Ecology (应用生态学报),2013,24(12):3752-3764 (in Chinese)
[10] Kim Y,Kimball JS,Didan K,et al.Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion.Agricultural and Forest Meteorology,2014,194:132-143
[11] Nan Y (南颖),Liu Z-F (刘志峰),Dong Y-H (董叶辉),et al.The responses of vegetation cover to climate change in the Changbai Mountain Area from 2000 to 2008.Scientia Geographica Sinica (地理科学),2010,30(6):921-928 (in Chinese)
[12] Hou G-L (候光雷),Zhang H-Y (张洪岩),Guo D (郭聃),et al.Spatial-temporal variation of NDVI in the growing season and its sensitivity to climatic factors in Changbai Mountains.Progress in Geography (地理科学进展),2012,31(3):285-292 (in Chinese)
[13] Zhang N (张娜),Yu G-R (于贵瑞),Yu Z-L (于振良),et al.Analysis on factors affecting net primary productivity distribution in Changbai Mountain based on process model for landscape scale.Chinese Journal of Applied Ecology (应用生态学报),2003,14(5):659-664 (in Chinese)
[14] Zhao G-S (赵国帅),Wang J-B (王军邦),Fan W-Y (范文义) ,et al.Vegetation net primary productivity in Northeast China in 2000-2008:Simulation and seasonal change.Chinese Journal of Applied Ecology (应用生态学报),2011,22(3):621-630 (in Chinese)
[15] Wu Y-L (吴玉莲),Wang X-P (王襄平),Li Q-Y (李巧燕),et al.Response of broad-leaved Korean pine forest productivity of Mt.Changbai to climate change:An analysis based on BIOME-BGC modeling.Acta Scientiarum Naturalium Universitatis Pekinensis (北京大学学报:自然科学版),2014,50(3):577-586 (in Chinese)
[16] McGuire AD,Melillo JM,Kicklighter DW,et al.Equilibrium responses of soil carbon to climate change:Empirical and process-based estimates.Journal of Biogeo-graphy,1995,22:785-796
[17] Running SW,Hunt ER.Generalization of a forest ecosystem process model for other biomes,BIOME-BGC,and an application for globalscale models//Scaling Physio-logical Processes,1993:141-158
[18] Field CB,Randerson JT,Malmstr?m CM.Global net primary production:Combining ecology and remote sensing.Remote Sensing of Environment,1995,51:74-88
[19] Goetz SJ,Prince SD,Goward SN,et al.Satellite remote sensing of primary production:An improved production efficiency modeling approach.Ecological Modelling,1999,122:239-255
[20] Monteith JL.Solar radiation and productivity in tropical ecosystems.Journal of Applied Ecology,1972,9:747-766
[21] Xiao XM,Hollinger D,Aber J,et al.Satellite-based modeling of gross primary production in an evergreen needleleaf forest.Remote Sensing of Environment,2004,89:519-534
[22] Wang J,Xiao XM,Wagle P,et al.Canopy and climate controls of gross primary production of mediterranean-type deciduous and evergreen oak savannas.Agricultural and Forest Meteorology,2016,226-227:132-147
[23] Veroustraete F,Sabbe H,Eerens H.Estimation of carbon mass fluxes over Europe using the C-Fix model and euroflux data.Remote Sensing of Environment,2002,83:376-399
[24] Chen J-Q (陈静清),Yan H-M (闫慧敏),Wang S-Q (王绍强),et al.Estimation of gross primary producti-vity in Chinese terrestrial ecosystems by using VPM model.Quaternary Sciences (第四纪研究),2014,34(4):732-742 (in Chinese)
[25] Xiao XM,Zhang QY,Saleska S,et al.Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest.Remote Sensing of Environment,2005,94:105-122
[26] Wu CY,Chen JM,Huang N.Predicting gross primary production from the enhanced vegetation index and photosynthetically active radiation:Evaluation and calibration.Remote Sensing of Environment,2011,115:3424-3435
[27] Ma J,Xiao XM,Zhang Y,et al.Spatial-temporal consistency between gross primary productivity and solar-induced chlorophyll fluorescence of vegetation in China during 2007-2014.Science of the Total Environment,2018,639:1241-1253
[28] Chang Y (常禹),Bu R-C (布仁仓),Hu Y-M (胡远满),et al.GIS and RS determination of abiotic range of forest landscape distribution in Changbai mountain natural reserve.Chinese Journal of Applied Ecology (应用生态学报),2003,14(5):671-675 (in Chinese)
[29] Wu W-X (伍卫星),Wang S-Q (王绍强),Xiao X-M (肖向明),et al.Simulation of gross primary producti-vity of temperate zone grassland ecosystem by using MODIS images and climate data in Inner Mongolia,China.Science in China Series D:Earth Sciences (中国科学:地球科学),2008,38 (8):993-1004 (in Chinese)
[30] Peng Y,Gitelson AA,Keydan G,et al.Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content.Remote Sensing of Environment,2011,115:978-989
[31] Hall FG,Hilker T,Coops NC.Data assimilation of photosynthetic light-use efficiency using multi-angular satellite data:I.Model formulation.Remote Sensing of Environment,2012,121:301-308
[32] Zhang Y,Xiao XM,Jin C,et al.Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America.Remote Sensing of Environment,2016,183:154-169
[33] Raich JW,Rastetter EB,Melillo JM,et al.Potential net primary productivity in South America:Application of a global model.Ecological Applications,1991,1:399-429
[34] He J (何杰),Yang K (阳坤).China Meteorological Forcing Dataset.Lanzhou:Cold and Arid Regions Science Data Center,2011 (in Chinese)
[35] Guo J-T (郭金停),Hu Y-M (胡远满),Xiong Z-P (熊在平),et al.Spatiotemporal variations of growing-season NDVI and response to climate change in permafrost zone of Northeast China.Chinese Journal of Applied Ecology (应用生态学报),2017,28(8):2413-2422 (in Chinese)
[36] Lin S-R (林尚荣),Li J (李静),Liu Q-H (柳钦火).Overview on estimation accuracy of gross primary productivity with remote sensing methods.Journal of Remote Sensing (遥感学报),2018,22(2):234-252 (in Chinese)
[37] Zhang JH,Hu YL,Xiao XM,et al.Satellite-based estimation of evapotranspiration of an old-growth temperate mixed forest.Agricultural and Forest Meteorology,2009,149:976-984
[38] Wu JB,Xiao XM,Guan DX,et al.Estimation of the gross primary production of an old-growth temperate mixed forest using eddy covariance and remote sensing.International Journal of Remote Sensing,2008,30:463-479
[39] Li X (李霞),Li X-B (李晓兵),Yu F (喻锋),et al.The correlation between meteorological factors and NDVI in Northeastern China.Journal of Beijing Normal University (Natural Science) (北京师范大学学报:自然科学版),2005,41(4):425-430 (in Chinese)
[40] Yin H-J (尹华军).Effeets of Experimental Warming on Growth of Several Species Seedlings under Two Contrasting Light Conditions in Subalpine Coniferous Forest of Western Sichuan,China.PhD Thesis.Chengdu:Chengdu Institute of Biology,Chinese Academy of Sciences,2007 (in Chinese)