Skip to main content
ORNL DAAC HomeNASA Home
DAAC Home

Publications Citing Net Primary Productivity (NPP)

The following 205 publications cited the Net Primary Productivity (NPP) project.

YearCitationDataset or Project
2020Hossain, M.L. and J. Li. 2020. Effects of long-term climatic variability and harvest frequency on grassland productivity across five ecoregions. Global Ecology and Conservation. 23:e01154. https://doi.org/10.1016/j.gecco.2020.e01154NPP Grassland: NPP Estimates from Biomass Dynamics for 31 Sites, 1948-1994, R1
2019Haynes, K.D., I.T. Baker, A.S. Denning, S. Wolf, G. Wohlfahrt, G. Kiely, R.C. Minaya, and J.M. Haynes. 2019. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling. Journal of Advances in Modeling Earth Systems. 11(12):4440-4465. https://doi.org/10.1029/2018MS001541NPP Grassland: Central Plains Experimental Range (SGS), USA, 1939-1990, R1
2019Skidmore, A.K., T. Wang, K. de Bie, and P. Pilesjo. 2019. Comment on The global tree restoration potential. Science. 366(6469):eaaz0111. https://doi.org/10.1126/science.aaz0111NPP Tropical Forest: La Selva, Costa Rica, 1975-1994, R1
2019Skidmore, A.K., T. Wang, K. de Bie, and P. Pilesjo. 2019. Comment on The global tree restoration potential. Science. 366(6469):eaaz0111. https://doi.org/10.1126/science.aaz0111NPP Boreal Forest: Schefferville, Canada, 1974, R1
2019Skidmore, A.K., T. Wang, K. de Bie, and P. Pilesjo. 2019. Comment on The global tree restoration potential. Science. 366(6469):eaaz0111. https://doi.org/10.1126/science.aaz0111NPP Tropical Forest: Chamela, Mexico, 1982-1995, R1
2019Skidmore, A.K., T. Wang, K. de Bie, and P. Pilesjo. 2019. Comment on The global tree restoration potential. Science. 366(6469):eaaz0111. https://doi.org/10.1126/science.aaz0111NPP Temperate Forest: Great Smoky Mountains, Tennessee, USA, 1968-1992, R1
2019Stephens, P.A., M.V. Vieira, S.G. Willis, and C. Carbone. 2019. The limits to population density in birds and mammals. Ecology Letters. https://doi.org/10.1111/ele.13227NPP Multi-Biome: Grassland, Boreal Forest, and Tropical Forest Sites, 1939-1996, R1
2019Tipping, E., J.A.C. Davies, P.A. Henrys, S.G. Jarvis, E.C. Rowe, S.M. Smart, M.G. Le Duc, R.H. Marrs, and R.J. Pakeman. 2019. Measured estimates of semi-natural terrestrial NPP in Great Britain: comparison with modelled values, and dependence on atmospheric nitrogen deposition. Biogeochemistry. 144(2):215-227. https://doi.org/10.1007/s10533-019-00582-5NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2018Basuki, I., J.B. Kauffman, J. Peterson, G. Anshari, and D. Murdiyarso. 2018. Land cover changes reduce net primary production in tropical coastal peatlands of West Kalimantan, Indonesia. Mitigation and Adaptation Strategies for Global Change. https://doi.org/10.1007/s11027-018-9811-2NPP Grassland: Klong Hoi Khong, Thailand, 1984-1990, R1
2018Basuki, I., J.B. Kauffman, J. Peterson, G. Anshari, and D. Murdiyarso. 2018. Land cover changes reduce net primary production in tropical coastal peatlands of West Kalimantan, Indonesia. Mitigation and Adaptation Strategies for Global Change. https://doi.org/10.1007/s11027-018-9811-2NPP Temperate Forest: OTTER Project Sites, Oregon, USA, 1989-1991, R1
2018Basuki, I., J.B. Kauffman, J. Peterson, G. Anshari, and D. Murdiyarso. 2018. Land cover changes reduce net primary production in tropical coastal peatlands of West Kalimantan, Indonesia. Mitigation and Adaptation Strategies for Global Change. https://doi.org/10.1007/s11027-018-9811-2NPP Tropical Forest: Gunung Mulu, Malaysia, 1977-1978, R1
2018Basuki, I., J.B. Kauffman, J. Peterson, G. Anshari, and D. Murdiyarso. 2018. Land cover changes reduce net primary production in tropical coastal peatlands of West Kalimantan, Indonesia. Mitigation and Adaptation Strategies for Global Change. https://doi.org/10.1007/s11027-018-9811-2NPP Multi-Biome: Grassland, Boreal Forest, and Tropical Forest Sites, 1939-1996, R1
2018Lienert, S. and F. Joos. 2018. A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions. Biogeosciences. 15(9):2909-2930. https://doi.org/10.5194/bg-15-2909-2018NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2018Parisi, S.G., G. Cola, G. Gilioli, and L. Mariani. 2018. Modeling and improving Ethiopian pasture systems. International Journal of Biometeorology. 62(5):883-895. https://doi.org/10.1007/s00484-017-1492-0NPP Grassland: Nairobi, Kenya, 1984-1994, R1
2018Riutta, T., Y. Malhi, L.K. Kho, T.R. Marthews, W. Huaraca Huasco, M. Khoo, S. Tan, E. Turner, G. Reynolds, S. Both, D.F.R.P. Burslem, Y.A. Teh, C.S. Vairappan, N. Majalap, and R.M. Ewers. 2018. Logging disturbance shifts net primary productivity and its allocation in Bornean tropical forests. Global Change Biology. 24(7):2913-2928. https://doi.org/10.1111/gcb.14068NPP Tropical Forest: Pasoh, Malaysia, 1971-1973, R1
2018Urrego-Mesa, A., J. Infante-Amate, and E. Tello. 2018. Pastures and Cash Crops: Biomass Flows in the Socio-Metabolic Transition of Twentieth-Century Colombian Agriculture. Sustainability. 11(1):117. https://doi.org/10.3390/su11010117NPP Multi-Biome: Grassland, Boreal Forest, and Tropical Forest Sites, 1939-1996, R1
2018Welch, B., V. Gauci, and E.J. Sayer. 2018. Tree stem bases are sources of CH 4 and N 2 O in a tropical forest on upland soil during the dry to wet season transition . Global Change Biology. 25(1):361-372. https://doi.org/10.1111/gcb.14498NPP Tropical Forest: Barro Colorado, Panama, 1969-1990, R1
2018Wen, Y., X. Liu, and G. Du. 2018. Nonuniform Time-Lag Effects of Asymmetric Warming on Net Primary Productivity across Global Terrestrial Biomes. Earth Interactions. 22(8):1-26. https://doi.org/10.1175/EI-D-17-0032.1NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2018Wen, Y., X. Liu, F. Pei, X. Li, and G. Du. 2018. Non-uniform time-lag effects of terrestrial vegetation responses to asymmetric warming. Agricultural and Forest Meteorology. 252:130-143. https://doi.org/10.1016/j.agrformet.2018.01.016NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2017Doupoux, C., P. Merdy, C.R. Montes, N. Nunan, A.J. Melfi, O.J.R. Pereira, and Y. Lucas. 2017. Modelling the genesis of equatorial podzols: age and implications for carbon fluxes. Biogeosciences. 14(9):2429-2440. https://doi.org/10.5194/bg-14-2429-2017NPP Tropical Forest: Gunung Mulu, Malaysia, 1977-1978, R1
2017Fang, X., C. Zhang, Q. Wang, X. Chen, J. Ding, and F. Karamage. 2017. Isolating and Quantifying the Effects of Climate and CO2 Changes (1980-2014) on the Net Primary Productivity in Arid and Semiarid China. Forests. 8(3):60. https://doi.org/10.3390/f8030060NPP Grassland: Xilingol, China, 1980-1989, R1
2017Gang, C., Y. Zhang, Z. Wang, Y. Chen, Y. Yang, J. Li, J. Cheng, J. Qi, and I. Odeh. 2017. Modeling the dynamics of distribution, extent, and NPP of global terrestrial ecosystems in response to future climate change. Global and Planetary Change. 148:153-165. https://doi.org/10.1016/j.gloplacha.2016.12.007NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2017Irisarri, J.G.N., S. Aguiar, M. Oesterheld, J.D. Derner, and R.A. Golluscio. 2017. A narrower gap of grazing intensity. Reply to Fetzel et al., 2017. Seasonality constrains to livestock grazing intensity. Global Change Biology. 23(10):3965-3966. https://doi.org/10.1111/gcb.13800NPP Multi-Biome: Grassland, Boreal Forest, and Tropical Forest Sites, 1939-1996, R1
2017Keller, K.M., S. Lienert, A. Bozbiyik, T.F. Stocker, O.V. Churakova (Sidorova), D.C. Frank, S. Klesse, C.D. Koven, M. Leuenberger, W.J. Riley, M. Saurer, R. Siegwolf, R.B. Weigt, and F. Joos. 2017. 20th century changes in carbon isotopes and water-use efficiency: tree-ring-based evaluation of the CLM4.5 and LPX-Bern models. Biogeosciences. 14(10):2641-2673. https://doi.org/10.5194/bg-14-2641-2017NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2017Lomas, P.L. and M. Giampietro. 2017. Environmental accounting for ecosystem conservation: Linking societal and ecosystem metabolisms. Ecological Modelling. 346:10-19. https://doi.org/10.1016/j.ecolmodel.2016.12.009NPP Boreal Forest: Consistent Worldwide Site Estimates, 1965-1995, R1
2017Lomas, P.L. and M. Giampietro. 2017. Environmental accounting for ecosystem conservation: Linking societal and ecosystem metabolisms. Ecological Modelling. 346:10-19. https://doi.org/10.1016/j.ecolmodel.2016.12.009NPP Tropical Forest: Consistent Worldwide Site Estimates, 1967-1999, R1
2017Mills, A.J., A.V. Milewski, D. Snyman, and J.J. Jordaan. 2017. Effects of anabolic and catabolic nutrients on woody plant encroachment after long-term experimental fertilization in a South African savanna. PLOS ONE. 12(6):e0179848. https://doi.org/10.1371/journal.pone.0179848NPP Grassland: Towoomba, South Africa, 1949-1990, R1
2017Prager, C.M., S. Naeem, N.T. Boelman, J.U.H. Eitel, H.E. Greaves, M.A. Heskel, T.S. Magney, D.N.L. Menge, L.A. Vierling, and K.L. Griffin. 2017. A gradient of nutrient enrichment reveals nonlinear impacts of fertilization on Arctic plant diversity and ecosystem function. Ecology and Evolution. 7(7):2449-2460. https://doi.org/10.1002/ece3.2863NPP Tundra: Toolik Lake, Alaska, 1982, R1
2017Rabin, S.S., J.R. Melton, G. Lasslop, D. Bachelet, M. Forrest, S. Hantson, J.O. Kaplan, F. Li, S. Mangeon, D.S. Ward, C. Yue, V.K. Arora, T. Hickler, S. Kloster, W. Knorr, L. Nieradzik, A. Spessa, G.A. Folberth, T. Sheehan, A. Voulgarakis, D.I. Kelley, I.C. Prentice, S. Sitch, S. Harrison, and A. Arneth. 2017. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions. Geoscientific Model Development. 10(3):1175-1197. https://doi.org/10.5194/gmd-10-1175-2017NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2017Reyes, J.J., C.L. Tague, R.D. Evans, and J.C. Adam. 2017. Assessing the Impact of Parameter Uncertainty on Modeling Grass Biomass Using a Hybrid Carbon Allocation Strategy. Journal of Advances in Modeling Earth Systems. 9(8):2968-2992. https://doi.org/10.1002/2017MS001022NPP Grassland: NPP Estimates from Biomass Dynamics for 31 Sites, 1948-1994, R1
2017SAKALLI, A. 2017. IMPACTS OF CLIMATE CHANGE ON NET PRIMARY PRODUCTION: A MODELLING STUDY AT PAN-EUROPEAN SCALE. Applied Ecology and Environmental Research. 15(1):1-15. https://doi.org/10.15666/aeer/1501_001015NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2017Simova, I. and D. Storch. 2017. The enigma of terrestrial primary productivity: measurements, models, scales and the diversity-productivity relationship. Ecography. 40(2):239-252. https://doi.org/10.1111/ecog.02482NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2017Thitanuwat, B., C. Polprasert, and A.J. Englande. 2017. Green residues from Bangkok green space for renewable energy recovery, phosphorus recycling and greenhouse gases emission reduction. Waste Management. 61:572-581. https://doi.org/10.1016/j.wasman.2016.12.012NPP Tropical Forest: Khao Chong, Thailand, 1962-1965, R1
2017Xia, J., A.D. McGuire, D. Lawrence, E. Burke, G. Chen, X. Chen, C. Delire, C. Koven, A. MacDougall, S. Peng, A. Rinke, K. Saito, W. Zhang, R. Alkama, T.J. Bohn, P. Ciais, B. Decharme, I. Gouttevin, T. Hajima, D.J. Hayes, K. Huang, D. Ji, G. Krinner, D.P. Lettenmaier, P.A. Miller, J.C. Moore, B. Smith, T. Sueyoshi, Z. Shi, L. Yan, J. Liang, L. Jiang, Q. Zhang, and Y. Luo. 2017. Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region. Journal of Geophysical Research: Biogeosciences. 122(2):430-446. https://doi.org/10.1002/2016JG003384NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2016Alton, P.B. 2016. The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman-Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm. Agricultural and Forest Meteorology. 218-219:11-24. https://doi.org/10.1016/j.agrformet.2015.11.010NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2016Anderson-Teixeira, K.J., M.M.H. Wang, J.C. McGarvey, and D.S. LeBauer. 2016. Carbon dynamics of mature and regrowth tropical forests derived from a pantropical database (TropForC-db). Global Change Biology. 22(5):1690-1709. https://doi.org/10.1111/gcb.13226NPP Tropical Forest: La Selva, Costa Rica, 1975-1994, R1
2016Gleason, K.E. and A.W. Nolin. 2016. Charred forests accelerate snow albedo decay: parameterizing the post-fire radiative forcing on snow for three years following fire. Hydrological Processes. 30(21):3855-3870. https://doi.org/10.1002/hyp.10897NPP Temperate Forest: OTTER Project Sites, Oregon, USA, 1989-1991, R1
2016Jiao, C., G. Yu, N. He, A. Ma, J. Ge, and Z. Hu. 2016. Spatial pattern of grassland aboveground biomass and its environmental controls in the Eurasian steppe. Journal of Geographical Sciences. 27(1):3-22. https://doi.org/10.1007/s11442-017-1361-0NPP Grassland: NPP Estimates from Biomass Dynamics for 31 Sites, 1948-1994, R1
2016Kizha, A. and H.S. Han. 2016. Predicting Aboveground Biomass in Second Growth Coast Redwood: Comparing Localized with Generic Allometric Models. Forests. 7(12):96. https://doi.org/10.3390/f7050096NPP Temperate Forest: Humboldt Redwoods State Park, California, USA, 1972-2001, R1
2016Lu, Y., R.A. Duursma, and B.E. Medlyn. 2016. Optimal stomatal behaviour under stochastic rainfall. Journal of Theoretical Biology. 394:160-171. https://doi.org/10.1016/j.jtbi.2016.01.003NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2016Steinacher, M. and F. Joos. 2016. Transient Earth system responses to cumulative carbon dioxide emissions: linearities, uncertainties, and probabilities in an observation-constrained model ensemble. Biogeosciences. 13(4):1071-1103. https://doi.org/10.5194/bg-13-1071-2016NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2016Trudinger, C.M., V. Haverd, P.R. Briggs, and J.G. Canadell. 2016. Interannual variability in Australia's terrestrial carbon cycle constrained by multiple observation types. Biogeosciences. 13(23):6363-6383. https://doi.org/10.5194/bg-13-6363-2016NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2015Ardo, J. 2015. Comparison between remote sensing and a dynamic vegetation model for estimating terrestrial primary production of Africa. Carbon Balance and Management. 10(1):. https://doi.org/10.1186/s13021-015-0018-5NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2015Ardo, J. 2015. Comparison between remote sensing and a dynamic vegetation model for estimating terrestrial primary production of Africa. Carbon Balance and Management. 10(1):. https://doi.org/10.1186/s13021-015-0018-5NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2015Gang, C., Z. Wang, W. Zhou, Y. Chen, J. Li, J. Cheng, L. Guo, I. Odeh, and C. Chen. 2015. Projecting the dynamics of terrestrial net primary productivity in response to future climate change under the RCP2.6 scenario. Environmental Earth Sciences. 74(7):5949-5959. https://doi.org/10.1007/s12665-015-4618-xNPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2015Gillman, L.N., S.D. Wright, J. Cusens, P.D. McBride, Y. Malhi, and R.J. Whittaker. 2015. Latitude, productivity and species richness. Global Ecology and Biogeography. 24(1):107-117. https://doi.org/10.1111/geb.12245NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2015Pacifico, F., G.A. Folberth, S. Sitch, J.M. Haywood, L.V. Rizzo, F.F. Malavelle, and P. Artaxo. 2015. Biomass burning related ozone damage on vegetation over the Amazon forest: a model sensitivity study. Atmospheric Chemistry and Physics. 15(5):2791-2804. https://doi.org/10.5194/acp-15-2791-2015NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2014Dong, X.B., B.H. Yu, M.T. Brown, Y.S. Zhang, M.Y. Kang, Y. Jin, X.S. Zhang, and S. Ulgiati. 2014. Environmental and economic consequences of the overexploitation of natural capital and ecosystem services in Xilinguole League, China. Energy Policy. 67:767-780. https://doi.org/10.1016/j.enpol.2013.11.038NPP Grassland: Xilingol, China, 1980-1989, R1
2014Forzieri, G., L. Feyen, A. Cescatti, and E.R. Vivoni. 2014. Spatial and temporal variations in ecosystem response to monsoon precipitation variability in southwestern North America. Journal of Geophysical Research: Biogeosciences. 119(10):1999-2017. https://doi.org/10.1002/2014JG002710NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2014Hararuk, O., J. Xia, and Y. Luo. 2014. Evaluation and improvement of a global land model against soil carbon data using a Bayesian Markov chain Monte Carlo method. Journal of Geophysical Research: Biogeosciences. 119(3):403-417. https://doi.org/10.1002/2013JG002535NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2014Kelley, D.I., S.P. Harrison, and I.C. Prentice. 2014. Improved simulation of fire-vegetation interactions in the Land surface Processes and eXchanges dynamic global vegetation model (LPX-Mv1). Geoscientific Model Development. 7(5):2411-2433. https://doi.org/10.5194/gmd-7-2411-2014NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2014Oleksandra Hararuk (2014) Improving Global Carbon Cycle Models with Observations.University of Oklahoma, Graduate College. A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the Degree of Doctor of Philosophy. https://shareok.org/bitstream/handle/11244/10373/Dissertation_Sasha_Hararuk.pdfNPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2014Viscarra Rossel, R.A., R. Webster, E.N. Bui, and J.A. Baldock. 2014. Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change. Global Change Biology. 20(9):2953-2970. https://doi.org/10.1111/gcb.12569NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2014Wilhelm, C., D. Rechid, and D. Jacob. 2014. Interactive coupling of regional atmosphere with biosphere in the new generation regional climate system model REMO-iMOVE. Geoscientific Model Development. 7(3):1093-1114. https://doi.org/10.5194/gmd-7-1093-2014NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2014Xia, J., S. Liu, S. Liang, Y. Chen, W. Xu, and W. Yuan. 2014. Spatio-Temporal Patterns and Climate Variables Controlling of Biomass Carbon Stock of Global Grassland Ecosystems from 1982 to 2006. Remote Sensing. 6(3):1783-1802. https://doi.org/10.3390/rs6031783NPP Grassland: NPP Estimates from Biomass Dynamics for 31 Sites, 1948-1994, R1
2014Zhang, W., C. Jansson, P.A. Miller, B. Smith, and P. Samuelsson. 2014. Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics. Biogeosciences. 11(19):5503-5519. https://doi.org/10.5194/bg-11-5503-2014NPP Multi-Biome: PIK Data for Northern Eurasia, 1940-1988 (Based on Bazilevich), R1
2014Zhang, W., C. Jansson, P.A. Miller, B. Smith, and P. Samuelsson. 2014. Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics. Biogeosciences. 11(19):5503-5519. https://doi.org/10.5194/bg-11-5503-2014NPP Boreal Forest: Consistent Worldwide Site Estimates, 1965-1995, R1
2014Zhang, W., C. Jansson, P.A. Miller, B. Smith, and P. Samuelsson. 2014. Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics. Biogeosciences. 11(19):5503-5519. https://doi.org/10.5194/bg-11-5503-2014NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2014Zhang, W., C. Jansson, P.A. Miller, B. Smith, and P. Samuelsson. 2014. Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics. Biogeosciences. 11(19):5503-5519. https://doi.org/10.5194/bg-11-5503-2014NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2014Zhang, W., C. Jansson, P.A. Miller, B. Smith, and P. Samuelsson. 2014. Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics. Biogeosciences. 11(19):5503-5519. https://doi.org/10.5194/bg-11-5503-2014NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2013Alton, P.B. 2013. From site-level to global simulation: Reconciling carbon, water and energy fluxes over different spatial scales using a process-based ecophysiological land-surface model. Agricultural and Forest Meteorology. 176:111-124. https://doi.org/10.1016/j.agrformet.2013.03.010NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2013Garcia Millan, V.E., G.A. Sanchez Azofeifa, G.C. Malvarez, G. More, X. Pons, and M. Yamanaka-Ocampo. 2013. Effects of Topography on the Radiometry of CHRIS/PROBA Images of Successional Stages Within Tropical Dry Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(3):1584-1595. https://doi.org/10.1109/JSTARS.2013.2259471NPP Tropical Forest: Chamela, Mexico, 1982-1995, R1
2013Haverd, V., M.R. Raupach, P.R. Briggs, J.G. Canadell, P. Isaac, C. Pickett-Heaps, S.H. Roxburgh, E. van Gorsel, R.A. Viscarra Rossel, and Z. Wang. 2013. Multiple observation types reduce uncertainty in Australia's terrestrial carbon and water cycles. Biogeosciences. 10(3):2011-2040. https://doi.org/10.5194/bg-10-2011-2013NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2013Hemming, D., R. Betts, and M. Collins. 2013. Sensitivity and uncertainty of modelled terrestrial net primary productivity to doubled CO2 and associated climate change for a relatively large perturbed physics ensemble. Agricultural and Forest Meteorology. 170:79-88. https://doi.org/10.1016/j.agrformet.2011.10.016NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2013Karnieli, A., Y. Bayarjargal, M. Bayasgalan, B. Mandakh, C. Dugarjav, J. Burgheimer, S. Khudulmur, S.N. Bazha, and P.D. Gunin. 2013. Do vegetation indices provide a reliable indication of vegetation degradation? A case study in the Mongolian pastures. International Journal of Remote Sensing. 34(17):6243-6262. https://doi.org/10.1080/01431161.2013.793865NPP Grassland: Tumentsogt, Mongolia, 1982-1990, R1
2013Kuruppuarachchi, K. and G. Seneviratne. 2013. Predicting Aboveground Biomass Increment of Tropical Forests from Litter-fall. Ceylon Journal of Science (Biological Sciences). 42(1):35. https://doi.org/10.4038/cjsbs.v42i1.5897NPP Tropical Forest: Consistent Worldwide Site Estimates, 1967-1999, R1
2013Morris, E.P., S. Flecha, J. Figuerola, E. Costas, G. Navarro, J. Ruiz, P. Rodriguez, and E. Huertas. 2013. Contribution of Donana Wetlands to Carbon Sequestration. PLoS ONE. 8(8):e71456. https://doi.org/10.1371/journal.pone.0071456NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2013Nayak, R.K., N.R. Patel, and V.K. Dadhwal. 2013. Inter-annual variability and climate control of terrestrial net primary productivity over India. International Journal of Climatology. 33(1):132-142. https://doi.org/10.1002/joc.3414NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2013Pei, F., X. Li, X. Liu, and C. Lao. 2013. Assessing the impacts of droughts on net primary productivity in China. Journal of Environmental Management. 114:362-371. https://doi.org/10.1016/j.jenvman.2012.10.031NPP Grassland: Tumentsogt, Mongolia, 1982-1990, R1
2013Pei, F., X. Li, X. Liu, S. Wang, and Z. He. 2013. Assessing the differences in net primary productivity between pre- and post-urban land development in China. Agricultural and Forest Meteorology. 171-172:174-186. https://doi.org/10.1016/j.agrformet.2012.12.003NPP Grassland: Tumentsogt, Mongolia, 1982-1990, R1
2013Smith, M.J., D.W. Purves, M.C. Vanderwel, V. Lyutsarev, and S. Emmott. 2013. The climate dependence of the terrestrial carbon cycle, including parameter and structural uncertainties. Biogeosciences. 10(1):583-606. https://doi.org/10.5194/bg-10-583-2013NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2013Tachiiri, K., J.C. Hargreaves, J.D. Annan, C. Huntingford, and M. Kawamiya. 2013. Allowable carbon emissions for medium-to-high mitigation scenarios. Tellus B: Chemical and Physical Meteorology. 65(1):20586. https://doi.org/10.3402/tellusb.v65i0.20586NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2013Tyukavina, A., S.V. Stehman, P.V. Potapov, S.A. Turubanova, A. Baccini, S.J. Goetz, N.T. Laporte, R.A. Houghton, and M.C. Hansen. 2013. National-scale estimation of gross forest aboveground carbon loss: a case study of the Democratic Republic of the Congo. Environmental Research Letters. 8(4):044039. https://doi.org/10.1088/1748-9326/8/4/044039NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2013Wu, F., X. Deng, F. Yin, and Y. Yuan. 2013. Projected Changes of Grassland Productivity along the Representative Concentration Pathways during 2010-2050 in China. Advances in Meteorology. 2013:1-9. https://doi.org/10.1155/2013/812723NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2012Huston, M.A. 2012. Precipitation, soils, NPP, and biodiversity: resurrection of Albrecht's curve. Ecological Monographs. 82(3):277-296. https://doi.org/10.1890/11-1927.1NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2012Laliberte, E., E.C. Adair, and S.E. Hobbie. 2012. Estimating Litter Decomposition Rate in Single-Pool Models Using Nonlinear Beta Regression. PLoS ONE. 7(9):e45140. https://doi.org/10.1371/journal.pone.0045140NPP Tundra: Toolik Lake, Alaska, 1982, R1
2012TACHIIRI, K., A. ITO, T. HAJIMA, J.C. HARGREAVES, J.D. ANNAN, and M. KAWAMIYA. 2012. Nonlinearity of Land Carbon Sensitivities in Climate Change Simulations. Journal of the Meteorological Society of Japan. 90A:259-274. https://doi.org/10.2151/jmsj.2012-A13NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2011Alton, P.B. and P.E. Bodin. 2011. Model Estimates of the Land and Ocean Contributions to Biospheric Carbon and Water Fluxes Using MODIS Satellite Data. Journal of Climate. 24(14):3558-3574. https://doi.org/10.1175/2011JCLI3957.1NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2011Huston, M.A. and S. Wolverton. 2011. Regulation of animal size by eNPP, Bergmann's rule, and related phenomena. Ecological Monographs. 81(3):349-405. https://doi.org/10.1890/10-1523.1NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2011Huston, M.A. and S. Wolverton. 2011. Regulation of animal size by eNPP, Bergmann's rule, and related phenomena. Ecological Monographs. 81(3):349-405. https://doi.org/10.1890/10-1523.1NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2011Lowrance, R., Anderson, W., Miguez, F., Strickland, T., Knoll, J., Sauer, T.; (2011). Landscape Management and Sustainable Feedstock Production: Enhancing Net Regional Primary Production while Minimizing Externalities. Chapter 1: Sustainable Feedstocks for Advanced Biofuels 1.NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2011Malhi, Y., C. Doughty, and D. Galbraith. 2011. The allocation of ecosystem net primary productivity in tropical forests. Philosophical Transactions of the Royal Society B: Biological Sciences. 366(1582):3225-3245. https://doi.org/10.1098/rstb.2011.0062NPP Tropical Forest: Pasoh, Malaysia, 1971-1973, R1
2011Malhi, Y., C. Doughty, and D. Galbraith. 2011. The allocation of ecosystem net primary productivity in tropical forests. Philosophical Transactions of the Royal Society B: Biological Sciences. 366(1582):3225-3245. https://doi.org/10.1098/rstb.2011.0062NPP Tropical Forest: Luquillo, Puerto Rico, 1946-1994, R1
2011Malhi, Y., C. Doughty, and D. Galbraith. 2011. The allocation of ecosystem net primary productivity in tropical forests. Philosophical Transactions of the Royal Society B: Biological Sciences. 366(1582):3225-3245. https://doi.org/10.1098/rstb.2011.0062NPP Tropical Forest: San Carlos de Rio Negro, Venezuela, 1975-1984, R1
2011Metcalfe, D.B., R.A. Fisher, and D.A. Wardle. 2011. Plant communities as drivers of soil respiration: pathways, mechanisms, and significance for global change. Biogeosciences. 8(8):2047-2061. https://doi.org/10.5194/bg-8-2047-2011NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2011Propastin, P.A., M.W. Kappas, S.M. Herrmann, and C.J. Tucker. 2011. Modified light use efficiency model for assessment of carbon sequestration in grasslands of Kazakhstan: combining ground biomass data and remote-sensing. International Journal of Remote Sensing. 33(5):1465-1487. https://doi.org/10.1080/01431161.2011.577105NPP Grassland: Shortandy, Kazakhstan, 1977-1980, R1
2011Schulte, P., R. van Geldern, H. Freitag, A. Karim, P. Negrel, E. Petelet-Giraud, A. Probst, J.L. Probst, K. Telmer, J. Veizer, and J.A.C. Barth. 2011. Applications of stable water and carbon isotopes in watershed research: Weathering, carbon cycling, and water balances. Earth-Science Reviews. 109(1-2):20-31. https://doi.org/10.1016/j.earscirev.2011.07.003NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2011Tian, H., C. Lu, G. Chen, X. Xu, M. Liu, W. Ren, B. Tao, G. Sun, S. Pan, and J. Liu. 2011. Climate and land use controls over terrestrial water use efficiency in monsoon Asia. Ecohydrology. 4(2):322-340. https://doi.org/10.1002/eco.216NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2011Zhao, D-s., Wu, S-h., Yin, Y-h.; (2011). Variation trends of natural vegetation net primary productivity in China under climate change scenario. Chinese Journal of Applied Ecology. 22 (4): 897-904.http://univadis.medlive.com.cn/pubmed/pubmed_relation.do?pmid=21774310&isReview=&hasFreeFullText=0NPP Grassland: NPP Estimates from Biomass Dynamics for 31 Sites, 1948-1994, R1
2010Hancock, G.R., D. Murphy, and K.G. Evans. 2010. Hillslope and catchment scale soil organic carbon concentration: An assessment of the role of geomorphology and soil erosion in an undisturbed environment. Geoderma. 155(1-2):36-45. https://doi.org/10.1016/j.geoderma.2009.11.021NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2010Hunt, SL., Gordon, AM., Morris, DM.; (2010). Carbon Stocks in Managed Conifer Forests in Northern Ontario, Canada. Silva Fennica. 44 (4): 563-582. NPP Boreal Forest: Mississagi, Canada, 1969-1973, R1
2010Long, H-L.,Li, X-B.,Wang, H.,Wei, D-D.,2010. Net Primary Productivity in grassland ecosystem in Inner Mongolia and its relationship with climate. Chinese Journal of Plant Ecology. 34(7):781-791. https://doi.org/10.3773/j.issn.1005-264x.2010.07.003NPP Grassland: Xilingol, China, 1980-1989, R1
2010Mao, J., L. Dan, B. Wang, and Y. Dai. 2010. Simulation and evaluation of terrestrial ecosystem NPP with M-SDGVM over continental China. Advances in Atmospheric Sciences. 27(2):427-442. https://doi.org/10.1007/s00376-009-9006-6NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2010Mao, J., L. Dan, B. Wang, and Y. Dai. 2010. Simulation and evaluation of terrestrial ecosystem NPP with M-SDGVM over continental China. Advances in Atmospheric Sciences. 27(2):427-442. https://doi.org/10.1007/s00376-009-9006-6NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2010Northington, R.M., M.D. Keyse, S.R. Beaty, S.C. Whalen, E.R. Sokol, and A.E. Hershey. 2010. Benthic secondary production in eight oligotrophic arctic Alaskan lakes. Journal of the North American Benthological Society. 29(2):465-479. https://doi.org/10.1899/09-026.1NPP Tundra: Toolik Lake, Alaska, 1982, R1
2010Peichl, M., J.J. Brodeur, M. Khomik, and M.A. Arain. 2010. Biometric and eddy-covariance based estimates of carbon fluxes in an age-sequence of temperate pine forests. Agricultural and Forest Meteorology. 150(7-8):952-965. https://doi.org/10.1016/j.agrformet.2010.03.002NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2010Ravindranath, N.H., R.K. Chaturvedi, N.V. Joshi, R. Sukumar, and J. Sathaye. 2010. Implications of climate change on mitigation potential estimates for forest sector in India. Mitigation and Adaptation Strategies for Global Change. 16(2):211-227. https://doi.org/10.1007/s11027-010-9256-8NPP Tropical Forest: San Eusebio, Venezuela, 1973-1974, R1
2010Scott, R.L., E.P. Hamerlynck, G.D. Jenerette, M.S. Moran, and G.A. Barron-Gafford. 2010. Carbon dioxide exchange in a semidesert grassland through drought-induced vegetation change. Journal of Geophysical Research. 115(G3):. https://doi.org/10.1029/2010JG001348NPP Multi-Biome: Global IBP Woodlands Data, 1955-1975, R1
2010Shoo, L.P. and V.V. Ramirez. 2010. Global potential net primary production predicted from vegetation class, precipitation, and temperature: comment. Ecology. 91(3):921-923. https://doi.org/10.1890/08-2018.1NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2010Tian, H., G. Chen, M. Liu, C. Zhang, G. Sun, C. Lu, X. Xu, W. Ren, S. Pan, and A. Chappelka. 2010. Model estimates of net primary productivity, evapotranspiration, and water use efficiency in the terrestrial ecosystems of the southern United States during 1895-2007. Forest Ecology and Management. 259(7):1311-1327. https://doi.org/10.1016/j.foreco.2009.10.009NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2010Tupek, B., G. Zanchi, P.J. Verkerk, G. Churkina, N. Viovy, J.K. Hughes, and M. Lindner. 2010. A comparison of alternative modelling approaches to evaluate the European forest carbon fluxes. Forest Ecology and Management. 260(3):241-251. https://doi.org/10.1016/j.foreco.2010.01.045NPP Tropical Forest: Maui, Hawaii, U.S.A., 1996-1997, R1
2009Anaya, J.A., E. Chuvieco, and A. Palacios-Orueta. 2009. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management. 257(4):1237-1246. https://doi.org/10.1016/j.foreco.2008.11.016NPP Grassland: Calabozo, Venezuela, 1969-1987, R1
2009Anaya, J.A., E. Chuvieco, and A. Palacios-Orueta. 2009. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management. 257(4):1237-1246. https://doi.org/10.1016/j.foreco.2008.11.016NPP Tropical Forest: Darien, Panama, 1967-1968, R1
2009Anaya, J.A., E. Chuvieco, and A. Palacios-Orueta. 2009. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management. 257(4):1237-1246. https://doi.org/10.1016/j.foreco.2008.11.016NPP Tropical Forest: Magdalena Valley, Colombia, 1970-1971, R1
2009Anaya, J.A., E. Chuvieco, and A. Palacios-Orueta. 2009. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management. 257(4):1237-1246. https://doi.org/10.1016/j.foreco.2008.11.016NPP Grassland: NPP Estimates from Biomass Dynamics for 31 Sites, 1948-1994, R1
2009Huston, M.A. and S. Wolverton. 2009. The global distribution of net primary production: resolving the paradox. Ecological Monographs. 79(3):343-377. https://doi.org/10.1890/08-0588.1NPP Multi-Biome: Global IBP Woodlands Data, 1955-1975, R1
2009Huston, M.A. and S. Wolverton. 2009. The global distribution of net primary production: resolving the paradox. Ecological Monographs. 79(3):343-377. https://doi.org/10.1890/08-0588.1NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2009Huston, M.A. and S. Wolverton. 2009. The global distribution of net primary production: resolving the paradox. Ecological Monographs. 79(3):343-377. https://doi.org/10.1890/08-0588.1NPP Multi-Biome: PIK Data for Northern Eurasia, 1940-1988 (Based on Bazilevich), R1
2009Huston, M.A. and S. Wolverton. 2009. The global distribution of net primary production: resolving the paradox. Ecological Monographs. 79(3):343-377. https://doi.org/10.1890/08-0588.1NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2009Huston, M.A. and S. Wolverton. 2009. The global distribution of net primary production: resolving the paradox. Ecological Monographs. 79(3):343-377. https://doi.org/10.1890/08-0588.1NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2009Mao, J., B. Wang, and Y. Dai. 2009. Sensitivity of the carbon storage of potential vegetation to historical climate variability and CO2 in continental China. Advances in Atmospheric Sciences. 26(1):87-100. https://doi.org/10.1007/s00376-009-0087-zNPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2009Marmion, M., M. Luoto, R.K. Heikkinen, and W. Thuiller. 2009. The performance of state-of-the-art modelling techniques depends on geographical distribution of species. Ecological Modelling. 220(24):3512-3520. https://doi.org/10.1016/j.ecolmodel.2008.10.019NPP Boreal Forest: Superior National Forest, USA, 1983-1984, R1
2009Musel, A. 2009. Human appropriation of net primary production in the United Kingdom, 1800-2000. Ecological Economics. 69(2):270-281. https://doi.org/10.1016/j.ecolecon.2009.08.012NPP Grassland: Beacon Hill, U.K., 1972-1993, R1
2009RANDERSON, J.T., F.M. HOFFMAN, P.E. THORNTON, N.M. MAHOWALD, K. LINDSAY, Y.H. LEE, C.D. NEVISON, S.C. DONEY, G. BONAN, R. STOCKLI, C. COVEY, S.W. RUNNING, and I.Y. FUNG. 2009. Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon models. Global Change Biology. 15(10):2462-2484. https://doi.org/10.1111/j.1365-2486.2009.01912.xNPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2009Turkington, R. 2009. Top-down and bottom-up forces in mammalian herbivore - vegetation systems: an essay review. Botany. 87(8):723-739. https://doi.org/10.1139/B09-035NPP Tundra: Toolik Lake, Alaska, 1982, R1
2008BULTE, E.H., R.B. BOONE, R. STRINGER, and P.K. THORNTON. 2008. Elephants or onions? Paying for nature in Amboseli, Kenya. Environment and Development Economics. 13(03):. https://doi.org/10.1017/S1355770X08004312NPP Grassland: Nairobi, Kenya, 1984-1994, R1
2008Del Grosso, S., W. Parton, T. Stohlgren, D. Zheng, D. Bachelet, S. Prince, K. Hibbard, and R. Olson. 2008. GLOBAL POTENTIAL NET PRIMARY PRODUCTION PREDICTED FROM VEGETATION CLASS, PRECIPITATION, AND TEMPERATURE. Ecology. 89(8):2117-2126. https://doi.org/10.1890/07-0850.1NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2008Del Grosso, S., W. Parton, T. Stohlgren, D. Zheng, D. Bachelet, S. Prince, K. Hibbard, and R. Olson. 2008. GLOBAL POTENTIAL NET PRIMARY PRODUCTION PREDICTED FROM VEGETATION CLASS, PRECIPITATION, AND TEMPERATURE. Ecology. 89(8):2117-2126. https://doi.org/10.1890/07-0850.1NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2008Del Grosso, S., W. Parton, T. Stohlgren, D. Zheng, D. Bachelet, S. Prince, K. Hibbard, and R. Olson. 2008. GLOBAL POTENTIAL NET PRIMARY PRODUCTION PREDICTED FROM VEGETATION CLASS, PRECIPITATION, AND TEMPERATURE. Ecology. 89(8):2117-2126. https://doi.org/10.1890/07-0850.1NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2008Deyton, E.B., J.S. Schwartz, R.B. Robinson, K.J. Neff, S.E. Moore, and M.A. Kulp. 2008. Characterizing Episodic Stream Acidity During Stormflows in the Great Smoky Mountains National Park. Water, Air, and Soil Pollution. 196(1-4):3-18. https://doi.org/10.1007/s11270-008-9753-5NPP Temperate Forest: Great Smoky Mountains, Tennessee, USA, 1968-1992, R1
2008Kooistra, L., W. Wamelink, G. Schaepman-Strub, M. Schaepman, H. van Dobben, U. Aduaka, and O. Batelaan. 2008. Assessing and predicting biodiversity in a floodplain ecosystem: Assimilation of net primary production derived from imaging spectrometer data into a dynamic vegetation model. Remote Sensing of Environment. 112(5):2118-2130. https://doi.org/10.1016/j.rse.2007.10.010NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2008Neff, K.J., J.S. Schwartz, T.B. Henry, R. Bruce Robinson, S.E. Moore, and M.A. Kulp. 2008. Physiological Stress in Native Southern Brook Trout During Episodic Stream Acidification in the Great Smoky Mountains National Park. Archives of Environmental Contamination and Toxicology. 57(2):366-376. https://doi.org/10.1007/s00244-008-9269-4NPP Temperate Forest: Great Smoky Mountains, Tennessee, USA, 1968-1992, R1
2008Schwendenmann, L. and E. Pendall. 2008. Response of soil organic matter dynamics to conversion from tropical forest to grassland as determined by long-term incubation. Biology and Fertility of Soils. 44(8):1053-1062. https://doi.org/10.1007/s00374-008-0294-2NPP Tropical Forest: Barro Colorado, Panama, 1969-1990, R1
2008Zhang+, C. and X. Guo. 2008. Monitoring northern mixed prairie health using broadband satellite imagery. International Journal of Remote Sensing. 29(8):2257-2271. https://doi.org/10.1080/01431160701408378NPP Grassland: Matador, Canada, 1968-1972, R1
2008Zhou, T. and Y. Luo. 2008. Spatial patterns of ecosystem carbon residence time and NPP-driven carbon uptake in the conterminous United States. Global Biogeochemical Cycles. 22(3):n/a-n/a. https://doi.org/10.1029/2007GB002939NPP Multi-Biome: Global IBP Woodlands Data, 1955-1975, R1
2008Zhou, T. and Y. Luo. 2008. Spatial patterns of ecosystem carbon residence time and NPP-driven carbon uptake in the conterminous United States. Global Biogeochemical Cycles. 22(3):n/a-n/a. https://doi.org/10.1029/2007GB002939NPP Grassland: NPP Estimates from Biomass Dynamics for 31 Sites, 1948-1994, R1
2007Adams, M.A. 2007. Nutrient Cycling in Forests and Heathlands: an Ecosystem Perspective from the Water-Limited South. 10:333-360. https://doi.org/10.1007/978-3-540-68027-7_12NPP Multi-Biome: Grassland, Boreal Forest, and Tropical Forest Sites, 1939-1996, R1
2007Dan, L., J. Ji, and Y. He. 2007. Use of ISLSCP II data to intercompare and validate the terrestrial net primary production in a land surface model coupled to a general circulation model. Journal of Geophysical Research. 112(D2):. https://doi.org/10.1029/2006JD007721NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2007Kang, E., L. Lu, and Z. Xu. 2007. Vegetation and carbon sequestration and their relation to water resources in an inland river basin of Northwest China. Journal of Environmental Management. 85(3):702-710. https://doi.org/10.1016/j.jenvman.2006.09.007NPP Tropical Forest: Consistent Worldwide Site Estimates, 1967-1999, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Boreal Forest: Flakaliden, Sweden, 1986-1996, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Boreal Forest: Jadraas, Sweden, 1973-1983, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Tropical Forest: Kade, Ghana, 1957-1972, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Tropical Forest: Pasoh, Malaysia, 1971-1973, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Boreal Forest: Canal Flats, Canada, 1984, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Tropical Forest: San Carlos de Rio Negro, Venezuela, 1975-1984, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Tropical Forest: Chamela, Mexico, 1982-1995, R1
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2007LUYSSAERT, S., I. INGLIMA, M. JUNG, A.D. RICHARDSON, M. REICHSTEIN, D. PAPALE, S.L. PIAO, E.D. SCHULZE, L. WINGATE, G. MATTEUCCI, L. ARAGAO, M. AUBINET, C. BEER, C. BERNHOFER, K.G. BLACK, D. BONAL, J.M. BONNEFOND, J. CHAMBERS, P. CIAIS, B. COOK, K.J. DAVIS, A.J. DOLMAN, B. GIELEN, M. GOULDEN, J. GRACE, A. GRANIER, A. GRELLE, T. GRIFFIS, T. GRUNWALD, G. GUIDOLOTTI, P.J. HANSON, R. HARDING, D.Y. HOLLINGER, L.R. HUTYRA, P. KOLARI, B. KRUIJT, W. KUTSCH, F. LAGERGREN, T. LAURILA, B.E. LAW, G. LE MAIRE, A. LINDROTH, D. LOUSTAU, Y. MALHI, J. MATEUS, M. MIGLIAVACCA, L. MISSON, L. MONTAGNANI, J. MONCRIEFF, E. MOORS, J.W. MUNGER, E. NIKINMAA, S.V. OLLINGER, G. PITA, C. REBMANN, O. ROUPSARD, N. SAIGUSA, M.J. SANZ, G. SEUFERT, C. SIERRA, M.L. SMITH, J. TANG, R. VALENTINI, T. VESALA, and I.A. JANSSENS. 2007. CO2balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology. 13(12):2509-2537. https://doi.org/10.1111/j.1365-2486.2007.01439.xNPP Tropical Forest: Maui, Hawaii, U.S.A., 1996-1997, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Boreal Forest: Flakaliden, Sweden, 1986-1996, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Boreal Forest: Jadraas, Sweden, 1973-1983, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Tropical Forest: Kade, Ghana, 1957-1972, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Tropical Forest: La Selva, Costa Rica, 1975-1994, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Tropical Forest: Pasoh, Malaysia, 1971-1973, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Boreal Forest: Canal Flats, Canada, 1984, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Boreal Forest: Kuusamo, Finland, 1967-1972, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Boreal Forest: Siberian Scots Pine Forests, Russia, 1968-1974, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Tropical Forest: San Carlos de Rio Negro, Venezuela, 1975-1984, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Tropical Forest: San Eusebio, Venezuela, 1973-1974, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Tropical Forest: Chamela, Mexico, 1982-1995, R1
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2007Magnani, F., M. Mencuccini, M. Borghetti, P. Berbigier, F. Berninger, S. Delzon, A. Grelle, P. Hari, P.G. Jarvis, P. Kolari, A.S. Kowalski, H. Lankreijer, B.E. Law, A. Lindroth, D. Loustau, G. Manca, J.B. Moncrieff, M. Rayment, V. Tedeschi, R. Valentini, and J. Grace. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature. 447(7146):849-851. https://doi.org/10.1038/nature05847NPP Tropical Forest: Maui, Hawaii, U.S.A., 1996-1997, R1
2007Norby, R.J., L.E. Rustad, J.S. Dukes, D.S. Ojima, W.J. Parton, S.J. Del Grosso, R.E. McMurtrie, and D.A. Pepper. 2007. Ecosystem Responses to Warming and Interacting Global Change Factors. 23-36. https://doi.org/10.1007/978-3-540-32730-1_3NPP Grassland: Central Plains Experimental Range (SGS), USA, 1939-1990, R1
2006Benitez, P.C. and M. Obersteiner. 2006. Site identification for carbon sequestration in Latin America: A grid-based economic approach. Forest Policy and Economics. 8(6):636-651. https://doi.org/10.1016/j.forpol.2004.12.003NPP Tropical Forest: Chamela, Mexico, 1982-1995, R1
2006Hickler, T., I.C. Prentice, B. Smith, M.T. Sykes, and S. Zaehle. 2006. Implementing plant hydraulic architecture within the LPJ Dynamic Global Vegetation Model. Global Ecology and Biogeography. 060811081017001-???. https://doi.org/10.1111/j.1466-822x.2006.00254.xNPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2006Hobbie, E.A. 2006. CARBON ALLOCATION TO ECTOMYCORRHIZAL FUNGI CORRELATES WITH BELOWGROUND ALLOCATION IN CULTURE STUDIES. Ecology. 87(3):563-569. https://doi.org/10.1890/05-0755NPP Boreal Forest: Consistent Worldwide Site Estimates, 1965-1995, R1
2006Naegler, T. and I. Levin. 2006. Closing the global radiocarbon budget 1945-2005. Journal of Geophysical Research. 111(D12):. https://doi.org/10.1029/2005JD006758NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2006Roxburgh, S.H. and I.D. Davies. 2006. COINS: an integrative modelling shell for carbon accounting and general ecological analysis. Environmental Modelling & Software. 21(3):359-374. https://doi.org/10.1016/j.envsoft.2004.11.006NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2006van der Werf, G.R., J.T. Randerson, L. Giglio, G.J. Collatz, P.S. Kasibhatla, and A.F. Arellano. 2006. Interannual variability in global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry and Physics. 6(11):3423-3441. https://doi.org/10.5194/acp-6-3423-2006NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2006van der Werf, G.R., J.T. Randerson, L. Giglio, G.J. Collatz, P.S. Kasibhatla, and A.F. Arellano. 2006. Interannual variability in global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry and Physics. 6(11):3423-3441. https://doi.org/10.5194/acp-6-3423-2006NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2006Zhao, M., S.W. Running, and R.R. Nemani. 2006. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. Journal of Geophysical Research. 111(G1):. https://doi.org/10.1029/2004JG000004NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2006Zhu, W., Y. Pan, H. He, D. Yu, and H. Hu. 2006. Simulation of maximum light use efficiency for some typical vegetation types in China. Chinese Science Bulletin. 51(4):457-463. https://doi.org/10.1007/s11434-006-0457-1NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2005Andersson, P. and D. Berggren. 2005. Amino Acids, Total Organic and Inorganic Nitrogen in Forest Floor Soil Solution at Low and High Nitrogen Input. Water, Air, & Soil Pollution. 162(1-4):369-384. https://doi.org/10.1007/s11270-005-7372-yNPP Boreal Forest: Flakaliden, Sweden, 1986-1996, R1
2005Boone, R.B., S.B. BurnSilver, P.K. Thornton, J.S. Worden, and K.A. Galvin. 2005. Quantifying Declines in Livestock Due to Land Subdivision. Rangeland Ecology & Management. 58(5):523-532. https://doi.org/10.2111/1551-5028(2005)58[523:qdildt]2.0.co;2https://doi.org/10.2111/1551-5028(2005)58[523:qdildt]2.0.co;2NPP Grassland: Nairobi, Kenya, 1984-1994, R1
2005BROGAARD, S., M. RUNNSTROM, and J. SEAQUIST. 2005. Primary production of Inner Mongolia, China, between 1982 and 1999 estimated by a satellite data-driven light use efficiency model. Global and Planetary Change. 45(4):313-332. https://doi.org/10.1016/j.gloplacha.2004.09.012NPP Grassland: Xilingol, China, 1980-1989, R1
2005Busing, R.T. 2005. TREE MORTALITY, CANOPY TURNOVER, AND WOODY DETRITUS IN OLD COVE FORESTS OF THE SOUTHERN APPALACHIANS. Ecology. 86(1):73-84. https://doi.org/10.1890/04-0410NPP Boreal Forest: Siberian Scots Pine Forests, Russia, 1968-1974, R1
2005Giardina, C.P., M.D. Coleman, J.E. Hancock, J.S. King, E.A. Lilleskov, W.M. Loya, K.S. Pregitzer, M.G. Ryan, and C.C. Trettin. 2005. The Response of Belowground Carbon Allocation in Forests to Global Change. 55:119-154. https://doi.org/10.1007/1-4020-3447-4_7NPP Boreal Forest: Consistent Worldwide Site Estimates, 1965-1995, R1
2005Kerkhoff, A.J., B.J. Enquist, J.J. Elser, and W.F. Fagan. 2005. Plant allometry, stoichiometry and the temperature-dependence of primary productivity. Global Ecology and Biogeography. 14(6):585-598. https://doi.org/10.1111/j.1466-822X.2005.00187.xNPP Multi-Biome: Global Primary Production Data Initiative Products, R2
2005Neeff, T. 2005. Spatial modeling of primary and secondary forest growth in Amazonia. Forest Ecology and Management. 219(2-3):149-168. https://doi.org/10.1016/j.foreco.2005.08.037NPP Tropical Forest: Consistent Worldwide Site Estimates, 1967-1999, R1
2005Vazquez, L.B. and K.J. Gaston. 2005. People and mammals in Mexico: conservation conflicts at a national scale. Biodiversity and Conservation. 15(8):2397-2414. https://doi.org/10.1007/s10531-004-3954-zNPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2004Muukkonen, P. 2004. Needle biomass turnover rates of Scots pine (Pinus sylvestris L.) derived from the needle-shed dynamics. Trees. 19(3):273-279. https://doi.org/10.1007/s00468-004-0381-4NPP Boreal Forest: Siberian Scots Pine Forests, Russia, 1968-1974, R1
2004Panigrahy, RK; Panigrahy, S; Parihar, JS; (2004). Spatio-temporal pattern of agro ecosystem net primary productivity of India: A preliminary analysis using spot Vgt data. Int. Symp. on Geospatial Databases for Sustainable Development Goa. 36 (4): 724-729. NPP Grassland: Vindhyan, India, 1986-1989, R1
2004Roxburgh, S.H., D.J. Barrett, S.L. Berry, J.O. Carter, I.D. Davies, R.M. Gifford, M.U.F. Kirschbaum, B.P. McBeth, I.R. Noble, W.G. Parton, M.R. Raupach, and M.L. Roderick. 2004. A critical overview of model estimates of net primary productivity for the Australian continent. Functional Plant Biology. 31(11):1043. https://doi.org/10.1071/FP04100NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2004Tansey, K. 2004. Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data. Journal of Geophysical Research. 109(D14):. https://doi.org/10.1029/2003jd003598NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2003Cuntz, M. 2003. A comprehensive global three-dimensional model of d18O in atmospheric CO2: 1. Validation of surface processes. Journal of Geophysical Research. 108(D17):. https://doi.org/10.1029/2002JD003153NPP Multi-Biome: NPP and Driver Data for Ecosystem Model-data Intercomparison, R2
2003Hardin, Perry J; Jackson, Mark W; (2003). Investigating SeaWinds terrestrial backscatter: Equatorial savannas of South America. Photogrammetric engineering and remote sensing. 69 (11): 1243-1254. NPP Grassland: Calabozo, Venezuela, 1969-1987, R1
2003Hill, M.J., R. Braaten, and G.M. McKeon. 2003. A scenario calculator for effects of grazing land management on carbon stocks in Australian rangelands. Environmental Modelling & Software. 18(7):627-644. https://doi.org/10.1016/S1364-8152(03)00050-1NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2003ITO, A. 2003. High-Resolution Mapping of the Net Primary Productivity of Terrestrial Ecosystems in East Asia Using a Process-Based Model. Journal of Agricultural Meteorology. 59(1):23-34. https://doi.org/10.2480/agrmet.59.23NPP Multi-Biome: Global IBP Woodlands Data, 1955-1975, R1
2003ITO, A. 2003. High-Resolution Mapping of the Net Primary Productivity of Terrestrial Ecosystems in East Asia Using a Process-Based Model. Journal of Agricultural Meteorology. 59(1):23-34. https://doi.org/10.2480/agrmet.59.23NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2003ITO, A. 2003. High-Resolution Mapping of the Net Primary Productivity of Terrestrial Ecosystems in East Asia Using a Process-Based Model. Journal of Agricultural Meteorology. 59(1):23-34. https://doi.org/10.2480/agrmet.59.23NPP Multi-Biome: PIK Data for Northern Eurasia, 1940-1988 (Based on Bazilevich), R1
2003Lee, D. and J. Veizer. 2003. Water and carbon cycles in the Mississippi River basin: Potential implications for the Northern Hemisphere residual terrestrial sink. Global Biogeochemical Cycles. 17(2):n/a-n/a. https://doi.org/10.1029/2002GB001984NPP Multi-Biome: Gridded Estimates for Selected Regions Worldwide, 1954-1998, R3
2003Medlyn, B., D. Barrett, J. Landsberg, P. Sands, and R. Clement. 2003. Corrigendum to: Conversion of canopy intercepted radiation to photosynthate: a review of modelling approaches for regional scales. Functional Plant Biology. 30(7):829. https://doi.org/10.1071/FP02088_CONPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2003WANG, Y.P. and D.J. BARRETT2. 2003. Estimating regional terrestrial carbon fluxes for the Australian continent using a multiple-constraint approach. I. Using remotely sensed data and ecological observations of net primary production. Tellus B. 55(2):270-289. https://doi.org/10.1034/j.1600-0889.2003.00031.xNPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2003Whittaker, R. J.; Heegaard, E.; (2003). What is the observed relationship between species richness and productivity? Ecology. 84 (12): 3384-3390. http://www.jstor.org/stable/3450082NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2002Alexandrov, G.A., T. Oikawa, and Y. Yamagata. 2002. The scheme for globalization of a process-based model explaining gradations in terrestrial NPP and its application. Ecological Modelling. 148(3):293-306. https://doi.org/10.1016/s0304-3800(01)00456-2NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2002Barrett, D.J. 2002. Steady state turnover time of carbon in the Australian terrestrial biosphere. Global Biogeochemical Cycles. 16(4):55-1-55-21. https://doi.org/10.1029/2002gb001860NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1
2002Scurlock, J.M. and R.J. Olson. 2002. Terrestrial net primary productivity \ A brief history and a new worldwide database. Environmental Reviews. 10(2):91-109. https://doi.org/10.1139/a02-002NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2002Vleeshouwers, L.M. and A. Verhagen. 2002. Carbon emission and sequestration by agricultural land use: a model study for Europe. Global Change Biology. 8(6):519-530. https://doi.org/10.1046/j.1365-2486.2002.00485.xNPP Grassland: Khomutov, Ukraine, 1948 and 1967-1970, R1
2002Vleeshouwers, L.M. and A. Verhagen. 2002. Carbon emission and sequestration by agricultural land use: a model study for Europe. Global Change Biology. 8(6):519-530. https://doi.org/10.1046/j.1365-2486.2002.00485.xNPP Grassland: Kursk, Russia, 1954-1983, R1
2002Vleeshouwers, L.M. and A. Verhagen. 2002. Carbon emission and sequestration by agricultural land use: a model study for Europe. Global Change Biology. 8(6):519-530. https://doi.org/10.1046/j.1365-2486.2002.00485.xNPP Grassland: Otradnoe, Russia 1969-1973, R1
2002Vleeshouwers, L.M. and A. Verhagen. 2002. Carbon emission and sequestration by agricultural land use: a model study for Europe. Global Change Biology. 8(6):519-530. https://doi.org/10.1046/j.1365-2486.2002.00485.xNPP Grassland: Tuva, Russia, 1978-1985, R1
2001Bugmann, H.K.M., S.D. Wullschleger, D.T. Price, K. Ogle, D.F. Clark, and A.M. Solomon. 2001. Climatic Change. 51(3/4):349-388. https://doi.org/10.1023/A:1012537914881Walker Branch Watershed Vegetation Inventory, 1967-2006, R1
2001Clark, D.A., S. Brown, D.W. Kicklighter, J.Q. Chambers, J.R. Thomlinson, J. Ni, and E.A. Holland. 2001. NET PRIMARY PRODUCTION IN TROPICAL FORESTS: AN EVALUATION AND SYNTHESIS OF EXISTING FIELD DATA. Ecological Applications. 11(2):371-384. https://doi.org/10.1890/1051-0761(2001)011[0371:NPPITF]2.0.CO;2https://doi.org/10.1890/1051-0761(2001)011[0371:NPPITF]2.0.CO;2NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2001Winslow, J.C., E.R. Hunt, and S.C. Piper. 2001. A globally applicable model of daily solar irradiance estimated from air temperature and precipitation data. Ecological Modelling. 143(3):227-243. https://doi.org/10.1016/S0304-3800(01)00341-6Walker Branch Watershed Vegetation Inventory, 1967-2006, R1
1999Alexandrov, G.A., T. Oikawa, and G. Esser. 1999. Estimating terrestrial NPP: what the data say and how they may be interpreted?. Ecological Modelling. 117(2-3):361-369. https://doi.org/10.1016/s0304-3800(99)00019-8NPP Multi-Biome: Global Osnabruck Data, 1937-1981, R1
2017Charbonnier, F., O. Roupsard, G. le Maire, J. Guillemot, F. Casanoves, A. Lacointe, P. Vaast, C. Allinne, L. Audebert, A. Cambou, A. Clement-Vidal, E. Defrenet, R.A. Duursma, L. Jarri, C. Jourdan, E. Khac, P. Leandro, B.E. Medlyn, L. Saint-Andre, P. Thaler, K. Van Den Meersche, A. Barquero Aguilar, P. Lehner, and E. Dreyer. 2017. Increased light-use efficiency sustains net primary productivity of shaded coffee plants in agroforestry system. Plant, Cell & Environment. 40(8):1592-1608. https://doi.org/10.1111/pce.12964Net Primary Productivity
2009Anaya, J.A., E. Chuvieco, and A. Palacios-Orueta. 2009. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management. 257(4):1237-1246. https://doi.org/10.1016/j.foreco.2008.11.016Net Primary Productivity
2009Huston, M.A. and S. Wolverton. 2009. The global distribution of net primary production: resolving the paradox. Ecological Monographs. 79(3):343-377. https://doi.org/10.1890/08-0588.1Net Primary Productivity
2009Karl, M., A. Guenther, R. Koble, A. Leip, and G. Seufert. 2009. A new European plant-specific emission inventory of biogenic volatile organic compounds for use in atmospheric transport models. Biogeosciences. 6(6):1059-1087. https://doi.org/10.5194/bg-6-1059-2009Net Primary Productivity
2009Zhang, K.; (2009). Study on Regional Responses of Pan-Arctic Terrestrial Ecosystems to Recent Climate Variability Using Satellite Remote Sensing. Ph.D. Thesis.http://etd.lib.umt.edu/theses/available/etd-06042009-125041/unrestricted/Zhang_umt_0136D_10028.pdfNet Primary Productivity
2008Zhou, T. and Y. Luo. 2008. Spatial patterns of ecosystem carbon residence time and NPP-driven carbon uptake in the conterminous United States. Global Biogeochemical Cycles. 22(3):n/a-n/a. https://doi.org/10.1029/2007GB002939Net Primary Productivity
2007Kang, E., L. Lu, and Z. Xu. 2007. Vegetation and carbon sequestration and their relation to water resources in an inland river basin of Northwest China. Journal of Environmental Management. 85(3):702-710. https://doi.org/10.1016/j.jenvman.2006.09.007Net Primary Productivity
2006Zhu, W., Y. Pan, H. He, D. Yu, and H. Hu. 2006. Simulation of maximum light use efficiency for some typical vegetation types in China. Chinese Science Bulletin. 51(4):457-463. https://doi.org/10.1007/s11434-006-0457-1Net Primary Productivity
2003ITO, A. 2003. High-Resolution Mapping of the Net Primary Productivity of Terrestrial Ecosystems in East Asia Using a Process-Based Model. Journal of Agricultural Meteorology. 59(1):23-34. https://doi.org/10.2480/agrmet.59.23Net Primary Productivity
2003WANG, Y.P. and D.J. BARRETT2. 2003. Estimating regional terrestrial carbon fluxes for the Australian continent using a multiple-constraint approach. I. Using remotely sensed data and ecological observations of net primary production. Tellus B. 55(2):270-289. https://doi.org/10.1034/j.1600-0889.2003.00031.xNet Primary Productivity