Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Get Data > NASA Projects > Net Primary Productivity (NPP) > Publication List

Publications Citing NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1

The following 14 publications cited the product NPP Multi-Biome: VAST Calibration Data, 1965-1998, R1.

Year Citation
2016 Trudinger, 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-13-6363-2016
2014 Kelley, 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-7-2411-2014
2014 Viscarra 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.12569
2013 Haverd, 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-10-2011-2013
2010 Hancock, 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.2009.11.021
2010 Shoo, 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/10.1890/08-2018.1
2009 Huston, 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/10.1890/08-0588.1
2008 Del 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/10.1890/07-0850.1
2006 Roxburgh, 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.2004.11.006
2004 Roxburgh, 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/FP04100
2003 Hill, 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)00050-1 https://doi.org/10.1016/S1364-8152(03)00050-1
2003 Medlyn, 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_CO
2003 WANG, 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.x
2002 Barrett, 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/10.1029/2002gb001860