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2014 | OriginalPaper | Buchkapitel

5. Gross Primary Production of Terrestrial Vegetation

verfasst von : Xiangming Xiao, Cui Jin, Jinwei Dong

Erschienen in: Biophysical Applications of Satellite Remote Sensing

Verlag: Springer Berlin Heidelberg

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Abstract

Gross primary production (GPP) of vegetation is the first and important flux of the terrestrial carbon cycle, and there is no direct measurement technique for GPP at ecosystem and landscape scales. A number of satellite-based Light Use Efficiency (LUE) models or Production Efficiency Models (PEM) have been developed to estimate GPP in the past few decades, and they are driven by satellite images with or without climate data. This chapter provides a brief review on some of these LUE models, and illustrates the Vegetation Photosynthesis Model (VPM) through its simulations of C3 crop (soybean) and C4 crop (maize) at the CO2 eddy flux tower site in Nebraska, USA.

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Literatur
Zurück zum Zitat Baldocchi D, Valentini R, Running S, Oechel W, Dahlman R (1996) Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems. Glob Change Biol 2(3):159–168CrossRef Baldocchi D, Valentini R, Running S, Oechel W, Dahlman R (1996) Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems. Glob Change Biol 2(3):159–168CrossRef
Zurück zum Zitat Barton C, North P (2001) Remote sensing of canopy light use efficiency using the photochemical reflectance index—model and sensitivity analysis. Remote Sens Environ 78:264–273 Barton C, North P (2001) Remote sensing of canopy light use efficiency using the photochemical reflectance index—model and sensitivity analysis. Remote Sens Environ 78:264–273
Zurück zum Zitat Cao MK, Woodward FI (1998a) Dynamic responses of terrestrial ecosystem carbon cycling to global climate change. Nature 393(6682):249–252CrossRef Cao MK, Woodward FI (1998a) Dynamic responses of terrestrial ecosystem carbon cycling to global climate change. Nature 393(6682):249–252CrossRef
Zurück zum Zitat Cao MK, Woodward FI (1998b) Net primary and ecosystem production and carbon stocks of terrestrial ecosystems and their responses to climate change. Glob Change Biol 4(2):185–198CrossRef Cao MK, Woodward FI (1998b) Net primary and ecosystem production and carbon stocks of terrestrial ecosystems and their responses to climate change. Glob Change Biol 4(2):185–198CrossRef
Zurück zum Zitat Chen M, Zhuang Q (2012) Spatially explicit parameterization of a terrestrial ecosystem model and its application to the quantification of carbon dynamics of forest ecosystems in the conterminous United States. Earth Interact 16(5):1–22CrossRef Chen M, Zhuang Q (2012) Spatially explicit parameterization of a terrestrial ecosystem model and its application to the quantification of carbon dynamics of forest ecosystems in the conterminous United States. Earth Interact 16(5):1–22CrossRef
Zurück zum Zitat Chiesi M et al (2012) Use of BIOME-BGC to simulate water and carbon fluxes within Mediterranean macchia. iForest-Biogeosci For 5(1): 38–43 Chiesi M et al (2012) Use of BIOME-BGC to simulate water and carbon fluxes within Mediterranean macchia. iForest-Biogeosci For 5(1): 38–43
Zurück zum Zitat Collatz GJ, Ball JT, Grivet C, Berry JA (1991) Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agr For Meteorol 54:107–136CrossRef Collatz GJ, Ball JT, Grivet C, Berry JA (1991) Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agr For Meteorol 54:107–136CrossRef
Zurück zum Zitat Collatz GJ, Ribas-Carbon M, Ball JA (1992) Coupled photosynthesis-stomatal conductance model for leaves of C4 plants. Aust J Plant Physiol 19:519–538CrossRef Collatz GJ, Ribas-Carbon M, Ball JA (1992) Coupled photosynthesis-stomatal conductance model for leaves of C4 plants. Aust J Plant Physiol 19:519–538CrossRef
Zurück zum Zitat Cong N et al (2012) Spring vegetation green-up date in China inferred from SPOT NDVI data: a multiple model analysis. Agr For Meteorol 165:104–113CrossRef Cong N et al (2012) Spring vegetation green-up date in China inferred from SPOT NDVI data: a multiple model analysis. Agr For Meteorol 165:104–113CrossRef
Zurück zum Zitat Cramer W et al (1999) Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Glob Chang Biol 5:1–15CrossRef Cramer W et al (1999) Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Glob Chang Biol 5:1–15CrossRef
Zurück zum Zitat Doktor D, Bondeau A, Koslowski D, Badeck FW (2009) Influence of heterogeneous landscapes on computed green-up dates based on daily AVHRR NDVI observations. Remote Sens Environ 113(12):2618–2632CrossRef Doktor D, Bondeau A, Koslowski D, Badeck FW (2009) Influence of heterogeneous landscapes on computed green-up dates based on daily AVHRR NDVI observations. Remote Sens Environ 113(12):2618–2632CrossRef
Zurück zum Zitat Drolet GG et al (2008) Regional mapping of gross light-use efficiency using MODIS spectral indices. Remote Sens Environ 112(6):3064–3078CrossRef Drolet GG et al (2008) Regional mapping of gross light-use efficiency using MODIS spectral indices. Remote Sens Environ 112(6):3064–3078CrossRef
Zurück zum Zitat Falge E et al (2002) Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agr For Meteorol 113(1–4):53–74CrossRef Falge E et al (2002) Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agr For Meteorol 113(1–4):53–74CrossRef
Zurück zum Zitat Farquhar G, von Caemmerer S, Berry JA (1980) A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149:78–90CrossRef Farquhar G, von Caemmerer S, Berry JA (1980) A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149:78–90CrossRef
Zurück zum Zitat Field CB, Randerson JT, Malmstrom CM (1995) Global net primary production—combining ecology and remote-sensing. Remote Sens Environ 51(1):74–88CrossRef Field CB, Randerson JT, Malmstrom CM (1995) Global net primary production—combining ecology and remote-sensing. Remote Sens Environ 51(1):74–88CrossRef
Zurück zum Zitat Gamon JA, Penuelas J, Field CB (1992) A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens Environ 41(1):35–44CrossRef Gamon JA, Penuelas J, Field CB (1992) A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens Environ 41(1):35–44CrossRef
Zurück zum Zitat Garbulsky MF, Penuelas J, Gamon J, Inoue Y, Filella I (2011) The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies. A review and meta-analysis. Remote Sens Environ 115(2): 281–297 Garbulsky MF, Penuelas J, Gamon J, Inoue Y, Filella I (2011) The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies. A review and meta-analysis. Remote Sens Environ 115(2): 281–297
Zurück zum Zitat Gitelson AA et al (2006) Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J Geophys Res Atmos 111(D8):D08S11 Gitelson AA et al (2006) Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J Geophys Res Atmos 111(D8):D08S11
Zurück zum Zitat Goetz SJ, Prince SD (1998) Variability in carbon exchange and light utilization among boreal forest stands: implications for remote sensing of net primary production. Can J For Res 28(3):375–389 Goetz SJ, Prince SD (1998) Variability in carbon exchange and light utilization among boreal forest stands: implications for remote sensing of net primary production. Can J For Res 28(3):375–389
Zurück zum Zitat Goetz SJ, Prince SD (1999) Modelling terrestrial carbon exchange and storage: evidence and implications of functional convergence in light-use efficiency. Adv Ecol Res 28:57–92 Goetz SJ, Prince SD (1999) Modelling terrestrial carbon exchange and storage: evidence and implications of functional convergence in light-use efficiency. Adv Ecol Res 28:57–92
Zurück zum Zitat Goetz SJ, Prince SD, Small J, Gleason ACR (2000) Interannual variability of global terrestrial primary production: results of a model driven with satellite observations. J Geophys Res Atmos 105(D15):20077–20091 Goetz SJ, Prince SD, Small J, Gleason ACR (2000) Interannual variability of global terrestrial primary production: results of a model driven with satellite observations. J Geophys Res Atmos 105(D15):20077–20091
Zurück zum Zitat Goulden ML et al (2011) Patterns of NPP, GPP, respiration, and NEP during boreal forest succession. Glob Change Biol 17(2):855–871CrossRef Goulden ML et al (2011) Patterns of NPP, GPP, respiration, and NEP during boreal forest succession. Glob Change Biol 17(2):855–871CrossRef
Zurück zum Zitat Goward SN, Huemmrich KF (1992) Vegetation canopy PAR absorptance and the normalized difference vegetation index—an assessment using the SAIL model. Remote Sens Environ 39(2):119–140CrossRef Goward SN, Huemmrich KF (1992) Vegetation canopy PAR absorptance and the normalized difference vegetation index—an assessment using the SAIL model. Remote Sens Environ 39(2):119–140CrossRef
Zurück zum Zitat Harley PC, Loreto F, Dimarco G, Sharkey TD (1992) Theoretical considerations when estimating the Mesophyll conductance to Co2 flux by analysis of the response of photosynthesis to Co2. Plant Physiol 98(4):1429–1436CrossRef Harley PC, Loreto F, Dimarco G, Sharkey TD (1992) Theoretical considerations when estimating the Mesophyll conductance to Co2 flux by analysis of the response of photosynthesis to Co2. Plant Physiol 98(4):1429–1436CrossRef
Zurück zum Zitat Hilker T, Coops NC, Wulder MA, Black TA, Guy RD (2008) The use of remote sensing in light use efficiency based models of gross primary production: a review of current status and future requirements. Sci Total Environ 404(2–3):411–423CrossRef Hilker T, Coops NC, Wulder MA, Black TA, Guy RD (2008) The use of remote sensing in light use efficiency based models of gross primary production: a review of current status and future requirements. Sci Total Environ 404(2–3):411–423CrossRef
Zurück zum Zitat Hilker T et al (2010) Remote sensing of photosynthetic light-use efficiency across two forested biomes: spatial scaling. Remote Sens Environ 114(12):2863–2874CrossRef Hilker T et al (2010) Remote sensing of photosynthetic light-use efficiency across two forested biomes: spatial scaling. Remote Sens Environ 114(12):2863–2874CrossRef
Zurück zum Zitat Hilker T et al (2012) Data assimilation of photosynthetic light-use efficiency using multi-angular satellite data: II model implementation and validation. Remote Sens Environ 121:287–300CrossRef Hilker T et al (2012) Data assimilation of photosynthetic light-use efficiency using multi-angular satellite data: II model implementation and validation. Remote Sens Environ 121:287–300CrossRef
Zurück zum Zitat Hilker T et al (2009) An assessment of photosynthetic light use efficiency from space: modeling the atmospheric and directional impacts on PRI reflectance. Remote Sens Environ 113(11):2463–2475CrossRef Hilker T et al (2009) An assessment of photosynthetic light use efficiency from space: modeling the atmospheric and directional impacts on PRI reflectance. Remote Sens Environ 113(11):2463–2475CrossRef
Zurück zum Zitat Huete AR, Liu HQ, Batchily K, vanLeeuwen W (1997) A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sens Environ 59(3):440–451CrossRef Huete AR, Liu HQ, Batchily K, vanLeeuwen W (1997) A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sens Environ 59(3):440–451CrossRef
Zurück zum Zitat Hwang T, Song CH, Vose JM, Band LE (2011) Topography-mediated controls on local vegetation phenology estimated from MODIS vegetation index. Landscape Ecol 26(4):541–556CrossRef Hwang T, Song CH, Vose JM, Band LE (2011) Topography-mediated controls on local vegetation phenology estimated from MODIS vegetation index. Landscape Ecol 26(4):541–556CrossRef
Zurück zum Zitat Ji JJ (1995) A climate-vegetation interaction model: simulating physical and biological processes at the surface. J Biogeogr 22(2–3):445–451CrossRef Ji JJ (1995) A climate-vegetation interaction model: simulating physical and biological processes at the surface. J Biogeogr 22(2–3):445–451CrossRef
Zurück zum Zitat Kalfas JL, Xiao XM, Vanegas DX, Verma SB, Suyker AE (2011) Modeling gross primary production of irrigated and rain-fed maize using MODIS imagery and CO(2) flux tower data. Agr For Meteorol 151(12):1514–1528CrossRef Kalfas JL, Xiao XM, Vanegas DX, Verma SB, Suyker AE (2011) Modeling gross primary production of irrigated and rain-fed maize using MODIS imagery and CO(2) flux tower data. Agr For Meteorol 151(12):1514–1528CrossRef
Zurück zum Zitat Lafont S et al (2002) Spatial and temporal variability of land CO2 fluxes estimated with remote sensing and analysis data over Western Eurasia. Tellus B 54(5):820–833CrossRef Lafont S et al (2002) Spatial and temporal variability of land CO2 fluxes estimated with remote sensing and analysis data over Western Eurasia. Tellus B 54(5):820–833CrossRef
Zurück zum Zitat Li ZQ et al (2007) Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data. Remote Sens Environ 107(3):510–519CrossRef Li ZQ et al (2007) Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data. Remote Sens Environ 107(3):510–519CrossRef
Zurück zum Zitat Lloyd J, Taylor JA (1994) On the temperature-dependence of soil respiration. Funct Ecol 8(3):315–323CrossRef Lloyd J, Taylor JA (1994) On the temperature-dependence of soil respiration. Funct Ecol 8(3):315–323CrossRef
Zurück zum Zitat Matsushita B, Xu M, Chen J, Kameyama S, Tamura M (2004) Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: how important is the accuracy of climate data? Ecol Model 178(3–4):371–388CrossRef Matsushita B, Xu M, Chen J, Kameyama S, Tamura M (2004) Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: how important is the accuracy of climate data? Ecol Model 178(3–4):371–388CrossRef
Zurück zum Zitat McCallum IWW, Schmullius C, Shvidenko A, Obersteiner M, Fritz S, Nilsson S (2009) Satellite-based terrestrial production efficiency modeling. Carbon Balance Manage. doi:10.1186/1750-0680-4-8 McCallum IWW, Schmullius C, Shvidenko A, Obersteiner M, Fritz S, Nilsson S (2009) Satellite-based terrestrial production efficiency modeling. Carbon Balance Manage. doi:10.​1186/​1750-0680-4-8
Zurück zum Zitat McGuire AD, Melillo JM, Kicklighter DW, Joyce LA (1995) Equilibrium responses of soil carbon to climate change: empirical and process-based estimates. J Biogeogr 22(4–5):785–796CrossRef McGuire AD, Melillo JM, Kicklighter DW, Joyce LA (1995) Equilibrium responses of soil carbon to climate change: empirical and process-based estimates. J Biogeogr 22(4–5):785–796CrossRef
Zurück zum Zitat Monteith JL (1972) Solar radiation and productivity in tropical ecosystems. J Appl Ecol 9:747–766 Monteith JL (1972) Solar radiation and productivity in tropical ecosystems. J Appl Ecol 9:747–766
Zurück zum Zitat Monteith JL (1977) Climate and efficiency of crop production in Britain. Philos Trans Roy Soc Lond Series B Biol Sci 281(980):277–294CrossRef Monteith JL (1977) Climate and efficiency of crop production in Britain. Philos Trans Roy Soc Lond Series B Biol Sci 281(980):277–294CrossRef
Zurück zum Zitat Moureaux C et al (2008) Carbon balance assessment of a Belgian winter wheat crop (Triticum aestivum L.). Global Change Biol 14(6):1353–1366CrossRef Moureaux C et al (2008) Carbon balance assessment of a Belgian winter wheat crop (Triticum aestivum L.). Global Change Biol 14(6):1353–1366CrossRef
Zurück zum Zitat Nayak RK, Patel NR, Dadhwal VK (2010) Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model. Environ Monit Assess 170(1–4):195–213CrossRef Nayak RK, Patel NR, Dadhwal VK (2010) Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model. Environ Monit Assess 170(1–4):195–213CrossRef
Zurück zum Zitat Papale D et al (2006) Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 3(4):571–583CrossRef Papale D et al (2006) Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 3(4):571–583CrossRef
Zurück zum Zitat Parton WJ et al (1993) Observations and modeling of biomass and soil organic-matter dynamics for the grassland biome worldwide. Glob Biogeochem Cycles 7(4):785–809CrossRef Parton WJ et al (1993) Observations and modeling of biomass and soil organic-matter dynamics for the grassland biome worldwide. Glob Biogeochem Cycles 7(4):785–809CrossRef
Zurück zum Zitat Peng Y, Gitelson AA (2012) Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content. Remote Sens Environ 117:440–448CrossRef Peng Y, Gitelson AA (2012) Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content. Remote Sens Environ 117:440–448CrossRef
Zurück zum Zitat Peng Y, Gitelson AA, Keydan G, Rundquist DC, Moses W (2011) Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sens Environ 115(4):978–989CrossRef Peng Y, Gitelson AA, Keydan G, Rundquist DC, Moses W (2011) Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sens Environ 115(4):978–989CrossRef
Zurück zum Zitat Piao S et al (2011) Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau. Agr For Meteorol 151(12):1599–1608CrossRef Piao S et al (2011) Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau. Agr For Meteorol 151(12):1599–1608CrossRef
Zurück zum Zitat Piao SL, Friedlingstein P, Ciais P, Zhou LM, Chen AP (2006) Effect of climate and CO2 changes on the greening of the Northern Hemisphere over the past two decades. Geophys Res Lett 33(23):L13802 Piao SL, Friedlingstein P, Ciais P, Zhou LM, Chen AP (2006) Effect of climate and CO2 changes on the greening of the Northern Hemisphere over the past two decades. Geophys Res Lett 33(23):L13802
Zurück zum Zitat Potter C et al (2003) Continental-scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982–1998. Glob Planet Change 39(3–4):201–213CrossRef Potter C et al (2003) Continental-scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982–1998. Glob Planet Change 39(3–4):201–213CrossRef
Zurück zum Zitat Potter C, Klooster S, Genovese V, Hiatt C, Boriah S, Kumar V, Mithal V, Garg A (2012) Terrestrial ecosystem carbon fluxes predicted from MODIS satellite data and large-scale disturbance modeling. Int J Geosci. doi:10.4236/ijg.2012 Potter C, Klooster S, Genovese V, Hiatt C, Boriah S, Kumar V, Mithal V, Garg A (2012) Terrestrial ecosystem carbon fluxes predicted from MODIS satellite data and large-scale disturbance modeling. Int J Geosci. doi:10.​4236/​ijg.​2012
Zurück zum Zitat Potter CS (1999) Terrestrial biomass and the effects of deforestation on the global carbon cycle—results from a model of primary production using satellite observations. Bioscience 49(10):769–778CrossRef Potter CS (1999) Terrestrial biomass and the effects of deforestation on the global carbon cycle—results from a model of primary production using satellite observations. Bioscience 49(10):769–778CrossRef
Zurück zum Zitat Potter CS et al (1998) Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia. Glob Change Biol 4(3):315–333CrossRef Potter CS et al (1998) Regional application of an ecosystem production model for studies of biogeochemistry in Brazilian Amazonia. Glob Change Biol 4(3):315–333CrossRef
Zurück zum Zitat Potter CS, Klooster SA (1997) Global model estimates of carbon and nitrogen storage in litter and soil pools: response to changes in vegetation quality and biomass allocation. Tellus B 49(1):1–17CrossRef Potter CS, Klooster SA (1997) Global model estimates of carbon and nitrogen storage in litter and soil pools: response to changes in vegetation quality and biomass allocation. Tellus B 49(1):1–17CrossRef
Zurück zum Zitat Potter CS et al (1993) Terrestrial ecosystem production—a process model-based on global satellite and surface data. Glob Biogeochem Cycles 7(4):811–841CrossRef Potter CS et al (1993) Terrestrial ecosystem production—a process model-based on global satellite and surface data. Glob Biogeochem Cycles 7(4):811–841CrossRef
Zurück zum Zitat Prince SD, Goward SN (1995a) Global primary production: a remote sensing approach. J Biogeogr 22(4–5):815–835CrossRef Prince SD, Goward SN (1995a) Global primary production: a remote sensing approach. J Biogeogr 22(4–5):815–835CrossRef
Zurück zum Zitat Prince SD, Goward SN (1995b) Global primary production: a remote sensing approach. J Biogeogr 22:316–336 Prince SD, Goward SN (1995b) Global primary production: a remote sensing approach. J Biogeogr 22:316–336
Zurück zum Zitat Reichstein M et al (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob Change Biol 11(9):1424–1439CrossRef Reichstein M et al (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob Change Biol 11(9):1424–1439CrossRef
Zurück zum Zitat Richardson AD et al (2010) Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philos T Roy Soc B 365(1555):3227–3246CrossRef Richardson AD et al (2010) Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philos T Roy Soc B 365(1555):3227–3246CrossRef
Zurück zum Zitat Roxburgh SH, Berry SL, Buckley TN, Barnes B, Roderick ML (2005) What is NPP? Inconsistent accounting of respiratory fluxes in the definition of net primary production. Funct Ecol 19(3):378–382CrossRef Roxburgh SH, Berry SL, Buckley TN, Barnes B, Roderick ML (2005) What is NPP? Inconsistent accounting of respiratory fluxes in the definition of net primary production. Funct Ecol 19(3):378–382CrossRef
Zurück zum Zitat Ruimy A, Dedieu G, Saugier B (1996a) TURC: a diagnostic model of continental gross primary productivity and net primary productivity. Glob Biogeochem Cycles 10(2):269–285CrossRef Ruimy A, Dedieu G, Saugier B (1996a) TURC: a diagnostic model of continental gross primary productivity and net primary productivity. Glob Biogeochem Cycles 10(2):269–285CrossRef
Zurück zum Zitat Ruimy A, Kergoat L, Bondeau A, Intercomparison PPNM (1999) Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light-use efficiency. Glob Change Biol 5:56–64CrossRef Ruimy A, Kergoat L, Bondeau A, Intercomparison PPNM (1999) Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light-use efficiency. Glob Change Biol 5:56–64CrossRef
Zurück zum Zitat Ruimy A, Kergoat L, Field CB, Saugier B (1996b) The use of CO2 flux measurements in models of the global terrestrial carbon budget. Glob Change Biol 2(3):287–296CrossRef Ruimy A, Kergoat L, Field CB, Saugier B (1996b) The use of CO2 flux measurements in models of the global terrestrial carbon budget. Glob Change Biol 2(3):287–296CrossRef
Zurück zum Zitat Ruimy A, Saugier B, Dedieu G (1994) Methodology for the estimation of terrestrial net primary production from remotely sensed data. J Geophys Res Atmos 99(D3):5263–5283 Ruimy A, Saugier B, Dedieu G (1994) Methodology for the estimation of terrestrial net primary production from remotely sensed data. J Geophys Res Atmos 99(D3):5263–5283
Zurück zum Zitat Running SW, Gower ST (1991) Forest-BGC, a general-model of forest ecosystem processes for regional applications. 2. Dynamic carbon allocation and Nitrogen budgets. Tree Physiol 9(1–2):147–160CrossRef Running SW, Gower ST (1991) Forest-BGC, a general-model of forest ecosystem processes for regional applications. 2. Dynamic carbon allocation and Nitrogen budgets. Tree Physiol 9(1–2):147–160CrossRef
Zurück zum Zitat Running SW, Hunt Jr ER (1993) Generalization of a forest ecosystem process model for other biomes, BIOME-BCG, and an application for global-scale models. Academic Press, Inc, San Diego Running SW, Hunt Jr ER (1993) Generalization of a forest ecosystem process model for other biomes, BIOME-BCG, and an application for global-scale models. Academic Press, Inc, San Diego
Zurück zum Zitat Running SW et al (1994) Terrestrial remote-sensing science and algorithms planned for Eos Modis. Int J Remote Sens 15(17):3587–3620CrossRef Running SW et al (1994) Terrestrial remote-sensing science and algorithms planned for Eos Modis. Int J Remote Sens 15(17):3587–3620CrossRef
Zurück zum Zitat Running SW, Nemani R, Glassy JM, Thornton P (1999) MODIS daily photosynthesis (PSN) and annual net primary production (NPP) product (MOD17), algorithm theoretical basis document, version 3.0, April 29 1999. http://modis.gsfc.nasa.gov/ Running SW, Nemani R, Glassy JM, Thornton P (1999) MODIS daily photosynthesis (PSN) and annual net primary production (NPP) product (MOD17), algorithm theoretical basis document, version 3.0, April 29 1999. http://​modis.​gsfc.​nasa.​gov/​
Zurück zum Zitat Running SW et al (2004) A continuous satellite-derived measure of global terrestrial primary production. Bioscience 54(6):547–560CrossRef Running SW et al (2004) A continuous satellite-derived measure of global terrestrial primary production. Bioscience 54(6):547–560CrossRef
Zurück zum Zitat Running SW, Thornton PE, Nemani R, Glassy JM (2000) Global terrestrial gross and net primary productivity from the Earth Observing System. In: Sala OE, Jackson RB, Mooney HA, Howarth RW (eds) Methods in ecosystem science. Springer, New York, pp 44–57 Running SW, Thornton PE, Nemani R, Glassy JM (2000) Global terrestrial gross and net primary productivity from the Earth Observing System. In: Sala OE, Jackson RB, Mooney HA, Howarth RW (eds) Methods in ecosystem science. Springer, New York, pp 44–57
Zurück zum Zitat Sakamoto T, Gitelson AA, Wardlow BD, Verma SB, Suyker AE (2011) Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data. Remote Sens Environ 115(12):3091–3101CrossRef Sakamoto T, Gitelson AA, Wardlow BD, Verma SB, Suyker AE (2011) Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data. Remote Sens Environ 115(12):3091–3101CrossRef
Zurück zum Zitat Sims DA et al (2008) A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS. Remote Sens Environ 112(4):1633–1646CrossRef Sims DA et al (2008) A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS. Remote Sens Environ 112(4):1633–1646CrossRef
Zurück zum Zitat Sims DA et al (2006a) On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. J Geophys Res Biogeo 111(G4):G04015 Sims DA et al (2006a) On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. J Geophys Res Biogeo 111(G4):G04015
Zurück zum Zitat Sims DA et al (2006b) On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. J Geophys Res Biogeo 111(G4) Sims DA et al (2006b) On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. J Geophys Res Biogeo 111(G4)
Zurück zum Zitat Taiz L, Zeiger E (2002) Plant physiology. Sinauer Associates Inc., Sunderland 690p Taiz L, Zeiger E (2002) Plant physiology. Sinauer Associates Inc., Sunderland 690p
Zurück zum Zitat Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 8(2):127–150CrossRef Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 8(2):127–150CrossRef
Zurück zum Zitat Verbeeck H, Samson R, Granier A, Montpied P, Lemeur R (2008) Multi-year model analysis of GPP in a temperate beech forest in France. Ecol Model 210(1–2):85–103CrossRef Verbeeck H, Samson R, Granier A, Montpied P, Lemeur R (2008) Multi-year model analysis of GPP in a temperate beech forest in France. Ecol Model 210(1–2):85–103CrossRef
Zurück zum Zitat Verma SB et al (2005) Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems. Agric For Meteorol 131(1–2):77–96CrossRef Verma SB et al (2005) Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems. Agric For Meteorol 131(1–2):77–96CrossRef
Zurück zum Zitat Veroustraete F, Sabbe H, Eerens H (2002) Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sens Environ 83(3):376–399CrossRef Veroustraete F, Sabbe H, Eerens H (2002) Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sens Environ 83(3):376–399CrossRef
Zurück zum Zitat Veroustraete F, Sabbe H, Rasse DP, Bertels L (2004) Carbon mass fluxes of forests in Belgium determined with low resolution optical sensors. Int J Remote Sens 25(4):769–792CrossRef Veroustraete F, Sabbe H, Rasse DP, Bertels L (2004) Carbon mass fluxes of forests in Belgium determined with low resolution optical sensors. Int J Remote Sens 25(4):769–792CrossRef
Zurück zum Zitat Wang Z, Xiao XM, Yan XD (2010) Modeling gross primary production of maize cropland and degraded grassland in northeastern China. Agr For Meteorol 150(9):1160–1167CrossRef Wang Z, Xiao XM, Yan XD (2010) Modeling gross primary production of maize cropland and degraded grassland in northeastern China. Agr For Meteorol 150(9):1160–1167CrossRef
Zurück zum Zitat Wofsy SC et al (1993) Net exchange of CO2 in a mid-latitude forest. Science 260(5112):1314–1317CrossRef Wofsy SC et al (1993) Net exchange of CO2 in a mid-latitude forest. Science 260(5112):1314–1317CrossRef
Zurück zum Zitat Woodward FI, Smith TM, Emanuel WR (1995) A global land primary productivity and phytogeography model. Glob Biogeochem Cycles 9(4):471–490CrossRef Woodward FI, Smith TM, Emanuel WR (1995) A global land primary productivity and phytogeography model. Glob Biogeochem Cycles 9(4):471–490CrossRef
Zurück zum Zitat Wu CY, Niu Z, Gao S (2012) The potential of the satellite derived green chlorophyll index for estimating midday light use efficiency in maize, coniferous forest and grassland. Ecol Indic 14(1):66–73CrossRef Wu CY, Niu Z, Gao S (2012) The potential of the satellite derived green chlorophyll index for estimating midday light use efficiency in maize, coniferous forest and grassland. Ecol Indic 14(1):66–73CrossRef
Zurück zum Zitat Wu CY et al (2009) Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices. Agr For Meteorol 149(6–7):1015–1021CrossRef Wu CY et al (2009) Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices. Agr For Meteorol 149(6–7):1015–1021CrossRef
Zurück zum Zitat Wu CY, Niu Z, Tang QA, Huang WJ (2010) Revised photochemical reflectance index (PRI) for predicting light use efficiency of wheat in a growth cycle: validation and comparison. Int J Remote Sens 31(11):2911–2924CrossRef Wu CY, Niu Z, Tang QA, Huang WJ (2010) Revised photochemical reflectance index (PRI) for predicting light use efficiency of wheat in a growth cycle: validation and comparison. Int J Remote Sens 31(11):2911–2924CrossRef
Zurück zum Zitat Wu WX et al (2008) Modeling gross primary production of a temperate grassland ecosystem in inner Mongolia, China, using MODIS imagery and climate data. Sci China Series D Earth Sci 51(10):1501–1512CrossRef Wu WX et al (2008) Modeling gross primary production of a temperate grassland ecosystem in inner Mongolia, China, using MODIS imagery and climate data. Sci China Series D Earth Sci 51(10):1501–1512CrossRef
Zurück zum Zitat Xiao X et al (2004a) Satellite-based modeling of gross primary production in an evergreen needle leaf forest. Remote Sens Environ 89(4):519–534CrossRef Xiao X et al (2004a) Satellite-based modeling of gross primary production in an evergreen needle leaf forest. Remote Sens Environ 89(4):519–534CrossRef
Zurück zum Zitat Xiao X et al (2004b) Modeling gross primary production of a deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ 91(2):256–270CrossRef Xiao X et al (2004b) Modeling gross primary production of a deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ 91(2):256–270CrossRef
Zurück zum Zitat Xiao XM, Yan HM, Kalfas JL, Zhang QY (2011) Satellite-based modeling of Gross Primary Production of terrestrial ecosystems. In: Wang QH (ed) advances in environmental remote sensing: sensors, algorithms, and application. Taylor & Francis Group, Boca Raton, pp 367–397 Xiao XM, Yan HM, Kalfas JL, Zhang QY (2011) Satellite-based modeling of Gross Primary Production of terrestrial ecosystems. In: Wang QH (ed) advances in environmental remote sensing: sensors, algorithms, and application. Taylor & Francis Group, Boca Raton, pp 367–397
Zurück zum Zitat Xiao XM et al (2004c) Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ 91(2):256–270CrossRef Xiao XM et al (2004c) Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ 91(2):256–270CrossRef
Zurück zum Zitat Xiao XM, Zhang QY, Hollinger D, Aber J, Moore B (2005a) Modeling gross primary production of an evergreen needleleaf forest using modis and climate data. Ecol Appl 15(3):954–969CrossRef Xiao XM, Zhang QY, Hollinger D, Aber J, Moore B (2005a) Modeling gross primary production of an evergreen needleleaf forest using modis and climate data. Ecol Appl 15(3):954–969CrossRef
Zurück zum Zitat Xiao XM et al (2005b) Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sens Environ 94(1):105–122CrossRef Xiao XM et al (2005b) Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sens Environ 94(1):105–122CrossRef
Zurück zum Zitat Yan HM et al (2009) Modeling gross primary productivity for winter wheat-maize double cropping system using MODIS time series and CO2 eddy flux tower data. Agric Ecosyst Environ 129(4):391–400CrossRef Yan HM et al (2009) Modeling gross primary productivity for winter wheat-maize double cropping system using MODIS time series and CO2 eddy flux tower data. Agric Ecosyst Environ 129(4):391–400CrossRef
Zurück zum Zitat Yuan WP et al (2007) Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agr For Meteorol 143(3–4):189–207CrossRef Yuan WP et al (2007) Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agr For Meteorol 143(3–4):189–207CrossRef
Zurück zum Zitat Yuan WP et al (2010) Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sens Environ 114(7):1416–1431CrossRef Yuan WP et al (2010) Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sens Environ 114(7):1416–1431CrossRef
Zurück zum Zitat Zhang QY et al (2009) Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPAR(chl)) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest? Remote Sens Environ 113(4):880–888CrossRef Zhang QY et al (2009) Can a satellite-derived estimate of the fraction of PAR absorbed by chlorophyll (FAPAR(chl)) improve predictions of light-use efficiency and ecosystem photosynthesis for a boreal aspen forest? Remote Sens Environ 113(4):880–888CrossRef
Zurück zum Zitat Zhang QY et al (2005) Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model. Remote Sens Environ 99(3):357–371CrossRef Zhang QY et al (2005) Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model. Remote Sens Environ 99(3):357–371CrossRef
Zurück zum Zitat Zhang QY et al (2006) Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data. Remote Sens Environ 105(3):189–203CrossRef Zhang QY et al (2006) Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data. Remote Sens Environ 105(3):189–203CrossRef
Zurück zum Zitat Zhao MS, Heinsch FA, Nemani RR, Running SW (2005) Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sens Environ 95(2):164–176CrossRef Zhao MS, Heinsch FA, Nemani RR, Running SW (2005) Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sens Environ 95(2):164–176CrossRef
Metadaten
Titel
Gross Primary Production of Terrestrial Vegetation
verfasst von
Xiangming Xiao
Cui Jin
Jinwei Dong
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-25047-7_5