Recent Publications

Harnessing the Land Sector to Achieve U.S. Climate Goals: An all-of-society approach to meeting our climate goals and bolstering the carbon sink by 2035.
Kennedy, S., C. Wade, L. Ma, H. Leslie-Bole, C. Dahl, A. Favero, A. Zhao, K. Kennedy, A. Trivedi, S. Edelstein, A. Joel Canton, A. Denvir, K. Clark-Sutton, S. Wood, G. Hurtt, and N. Hultman (2024). “Harnessing the Land Sector to Achieve U.S. Climate Goals: An all-of-society approach to meeting our climate goals and bolstering the carbon sink by 2035.” Center for Global Sustainability, University of Maryland and America Is All In. 21 pp
Global Carbon Budget 2023
Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Bakker, D. C. E., Hauck, J., Landschützer, P., Le Quéré, C., Luijkx, I. T., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Anthoni, P., Barbero, L., Bates, N. R., Becker, M., Bellouin, N., Decharme, B., Bopp, L., ... and Zheng, B. (2023) Global Carbon Budget 2023. Earth Syst. Sci. Data, 15, 5301–5369, https://doi.org/10.5194/essd-15-5301-2023, 2023.
High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale
Zhihao Wang, Yiqun Xie, Xiaowei Jia, Lei Ma, and George Hurtt. (2023) High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '23). Association for Computing Machinery, New York, NY, USA, Article 32, 1–10. https://doi.org/10.1145/3589132.3625577
Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war
Shumilo, L., Skakun, S., Gore, M.L. et al. (2023) Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war. Commun Earth Environ 4, 443. https://doi.org/10.1038/s43247-023-01099-4
The anthropogenic imprint on temperate and boreal forest demography and carbon turnover
Pugh, T. A. M., Seidl, R., Liu, D., Lindeskog, M., Chini, L. P., & Senf, C. (2023). The anthropogenic imprint on temperate and boreal forest demography and carbon turnover. Global Ecology and Biogeography, 00, 1–16. https://doi.org/10.1111/geb.13773
Land Cover and Land-Use Change in the Fifth National Climate Assesment
Thornton, P.E., B.C. Reed, G.Z. Xian, L. Chini, A.E. East, J.L. Field, C.M. Hoover, B. Poulter, S.C. Reed, G. Wang, and Z. Zhu (2023) Ch. 6. Land cover and land-use change. In: Fifth National Climate Assessment. Crimmins, A.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, B.C. Stewart, and T.K. Maycock (2023) Eds. U.S. Global Change Research Program, Washington, DC, USA. https://doi.org/10.7930/NCA5.2023.CH6
Maryland's Climate Pathway
Kennedy, K., A. Zhao, S. Smith, K. O’Keefe, B. Phelps, S. Kennedy, R. Cui, C. Dahl, S. Dodds, S. Edelstein, S. Francis, E. Ghosh, G. Hurtt, D. Irani, L. Ma, Y. Ou, R. Praisa, A. Taylor, A. Trivedi, N. Wetzler, J. Williams, and N. Hultman (2023). “Maryland’s Climate Pathway: An analysis of actions the State can take to achieve Maryland's nation-leading greenhouse gas emissions reduction goals.” Center for Global Sustainability, University of Maryland.
Changing cropland in changing climates: quantifying two decades of global cropland changes
Kennedy, J. G. C. Hurtt, X. Z. Liang, L. Chini, L. Ma (2023) Changing Cropland in Changing Climates: Quantifying Two Decades of Global Cropland Changes. Environmental Research Letters.
Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling
Ma, L., Hurtt, G., Tang, H., Lamb, R., Lister, A., Chini, L., Dubayah, R., Armston, J., Campbell, E., Duncanson, L., Healey, S., O'Neil‐Dunne, J., Ott, L., Poulter, B., & Shen, Q. (2023). Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling. Global Change Biology. https://doi.org/10.1111/gcb.16682
The drivers and impacts of Amazon forest degradation
Lapola, D. M., Pinho, P., Barlow, J., Aragão, L. E., Berenguer, E., Carmenta, R., Liddy, H. M., Seixas, H., Silva, C. V., Silva-Junior, C. H., Alencar, A. A., Anderson, L. O., Armenteras, D., Brovkin, V., Calders, K., Chambers, J., Chini, L., Costa, M. H., Faria, B. L., … Walker, W. S. (2023). The drivers and impacts of Amazon forest degradation. Science, 379(6630). https://doi.org/10.1126/science.abp8622
Global Carbon Budget 2022
Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Gregor, L., Hauck, J., Le Quéré, C., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Alkama, R., Arneth, A., Arora, V. K., Bates, N. R., Becker, M., Bellouin, N., Bittig, H. C., Bopp, L., ... and Zheng, B (2022): Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022
Scientist-stakeholder relationships drive carbon data product transfer effectiveness within NASA program
Brown, M., V. M. Escobar, F. Younis, E. S. Sepulveda-Carlo, M. McGroddy, P. Griffith, G. C. Hurtt (2022) Scientist-Stakeholder relationships drive carbon data product transfer effectiveness within NASA program. Environmental Research Letters, 17 095004. https://doi.org/10.1088/1748-9326/ac87bf
GEDI launches a new era of biomass inference from space
Dubayah, R., J. Armston, S. P. Healy, J. M. Bruening, P. L. Patterson, J. R. Kellner, L. Duncanson, S. Saarela, G. Stahl, Z. Yang, H. Tang, J. B. Blair, L. Fatoyinbo, S. Goetz, S. Hancock, M. Hansen, M. Hofton, G. Hurtt, S. Luthcke (2022) GEDI launches new era of biomass inference from space. Environmental Research Letters, 17 095001. https://doi.org/10.1088/1748-9326/ac8694
The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps
Hurtt, G. C., A. Andrews, K. Bowman, M. E. Brown, A. Chatterjee, V. Escobar, L. Fatoyinbo, P. Griffith, M. Guy, S. P. Healey, D. J. Jacob, R. Kennedy, S. Lohrenz, M. E. McGroddy, V. Morales, T. Nehrkorn, L. Ott, S. Saatchi, E. Sepulveda Carlo, S. P. Serbin, H. Tian. (2022) The NASA Carbon Monitoring System Phase 2 Synthesis: Scope, Findings, Gaps and Recommended Next Steps. Environmental Research Letters, 17, 063010. https://doi.org/10.1088/1748-9326/ac7407
Global Carbon Budget 2021
Friedlingstein, P., Jones, M. W., O'Sullivan, M., Andrew, R. M., Bakker, D. C. E., Hauck, J., Le Quéré, C., Peters, G. P., Peters, W., Pongratz, J., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Anthoni, P., Bates, N. R., Becker, M., Bellouin, N., Bopp, L., Chau, T. T. T., Chevallier, F., Chini, L. P., Cronin, M., Currie, K. I., Decharme, B., ... and Zeng, J (2022): Global Carbon Budget 2021, Earth Syst. Sci. Data, 14, 1917–2005, https://doi.org/10.5194/essd-14-1917-2022, 2022.
Integrating remote sensing with ecology and evolution to advance biodiversity conservation
Cavender-Bares, J., Schneider, F.D., Santos, M.J. et al. (2022) Integrating remote sensing with ecology and evolution to advance biodiversity conservation. Nat Ecol Evol. https://doi.org/10.1038/s41559-022-01702-5
Global evaluation of the Ecosystem Demography model (ED v3.0)
Ma, L., Hurtt, G., Ott, L., Sahajpal, R., Fisk, J., Lamb, R., Tang, H., Flanagan, S., Chini, L., Chatterjee, A., and Sullivan, J. (2022): Global evaluation of the Ecosystem Demography model (ED v3.0), Geosci. Model Dev., 15, 1971–1994, https://doi.org/10.5194/gmd-15-1971-2022, 2022.
Anthropogenic emissions are the main contribution to the rise of atmospheric methane (1993-2017)
Zhang, Z., B. Poulter, S. Knox, A. Stavert, G. McNicol, E. Fluet- Chouinard, A. Feinberg, Y. Zhao, P. Bousquet, J. G. Canadell, A. Ganesan, G. Hugelius, G. Hurtt, R. B. Jackson, P. K. Patra, M. Saunois, L. Höglund-Isaksson, C. Huang, X. Li. (2021) Anthropogenic emissions are the main contribution to the rise of atmospheric methane (1993-2017). National Science Review. https://doi.org/10.1093/nsr/nwab200.
Land-use harmonization datasets for annual global carbon budgets
L. Chini, G. Hurtt, R. Sahajpal, S. Frolking, K. Klein Goldewijk, S. Sitch, R. Ganzenmüller, L. Ma, L. Ott, J. Pongratz, B. Poulter. (2021) Land-Use Harmonization Datasets for Annual Global Carbon Budgets. Earth System Science Data 13, 4175-4189. https://doi.org/10.5194/essd-13-4175-2021
Geospatial assessment of the economic opportunity for reforestation in Maryland, USA
Lamb, R. L., Ma, L., Sahajpal, R., Edmonds, J., Hultman, N. E., Dubayah, R. O., Kennedy, J., Hurtt, G. (2021). Geospatial assessment of the economic opportunity for reforestation in Maryland, USA. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ac109a
Bookkeeping estimates of the net land-use change flux – a sensitivity study with the CMIP6 land-use dataset
Hartung, K., A. Bastos, L. Chini, R. Ganzenmüller, F. Havermann, G. C. Hurtt, T. Loughran, J. E.M.S. Nabel, T. Nützel, W. A. Obermeier, J. Pongratz. (2021) Net land-use change carbon flux estimates and sensitivities – An assessment with a bookkeeping model based on CMIP6 forcing. Earth System Dynamics 12:763-782. https://doi.org/10.5194/esd-12-763-2021
The connection between forest degradation and urban energy demand in sub-Saharan Africa: a characterization based on high-resolution remote sensing data
Sedano, F., S. Lisboa, L. Duncanson, N. Ribeiro, A. Sitoe, R. Sahajpal, G. Hurtt, C. Tucker. C. (2021) The connection between forest degradation and urban energy demand in Sub-Saharan Africa: A characterization based on high-resolution remote sensing data. Environmental Research Letters. 10.1088/1748-9326/abfc05
Context and future directions for integrating forest carbon into sub-national climate mitigation planning in the RGGI region of the U.S.
Lamb, R. L., Hurtt, G. C., Boudreau, T. J., Campbell, E., Sepúlveda Carlo, E. A., Chu, H.-H., de Mooy, J., Dubayah, R. O., Gonsalves, D., Guy, M., Hultman, N. E., Lehman, S., Leon, B., Lister, A. J., Lynch, C., Ma, L., Martin, C., Robbins, … Tang, H. (2021). Context and future directions for integrating forest carbon into sub-national climate mitigation planning in the RGGI region of the U.S. Environmental Research Letters, 16(6), 063001. https://doi.org/10.1088/1748-9326/abe6c2
High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA
Ma, L., G. Hurtt, H. Tang, R. Lamb, E. Campbell, R. Dubayah, M. Guy, W. Huang, A. Lister, J. Lu, J. O’Neill Dunne, A. Rudee, Q. Shen, C. Silva. (2021) High-resolution forest carbon modeling for climate mitigation planning over the RGGI region, USA. Environemental Research Letters. https://doi.org/10.1088/1748-9326/abe4f4
Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6
Tebaldi, C., K. Debeire, V. Eyring, E. Fischer, J. Fyfe, P. Friedlingstein, R. Knutti, J. Lowe, B. O'Neill, B. Sanderson, D. van Vuuren, K. Riahi, M. Meinshausen, Z. Nicholls, G. Hurtt4, E. Kriegler, J. F. Lamarque, G. Meehl, R. Moss, S. Bauer, O. Boucher, V. Brovkin, ... T. Ziehn. (2021) Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6. Earth System Dynamics 12, 253-293. https://doi.org/10.5194/esd-12-253-2021
High-resolution forest carbon mapping for climate mitigation baselines over the RGGI region, USA
Tang, H., L. Ma, A. Lister, J. O’Neill Dunne, J. Lu, R. Lamb, R. Dubayah, G. Hurtt. (2021) High-Resolution Forest Carbon Mapping for Climate Mitigation Baselines Over the RGGI Region, USA. Enviromental Research Letters. https://doi.org/10.1088/1748-9326/abd2ef
Harmonization of Global Land-Use Change and Management for the Period 850-2100 (LUH2) for CMIP6
Hurtt, G. C., L. Chini, R. Sahajpal, S. Frolking, B. L. Bodirsky, K. Calvin, J. C. Doelman, J. Fisk, S. Fujimori, K. K. Goldewijk, T. Hasegawa, P. Havlik, A. Heinimann, F. Humpenöder, J. Jungclaus, Jed Kaplan, J. Kennedy, T. Kristzin, D. Lawrence, P. Lawrence, L. Ma, ... X. Zhang. (2020) Harmonization of Global Land-Use Change and Management for the Period 850-2100 (LUH2) for CMIP6. Geoscientifc Model Development. https://doi.org/10.5194/gmd-2019-360
Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2
Ma, L., Hurtt, G. C., Chini, L. P., Sahajpal, R., Pongratz, J., Frolking, S., Stehfest, E., Klein Goldewijk, K., O'Leary, D., and Doelman, J. C.: Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2, Geosci. Model Dev., 13, 3203–3220, https://doi.org/10.5194/gmd-13-3203-2020, 2020.
Monitoring intra and inter annual dynamics of forest degradation from charcoal production in Southern Africa with Sentinel – 2 imagery
Sedano, F., Lisboa, S., Duncanson, L., Ribeiro, N., Sitoe, A., Sahajpal, R., Hurtt, G. and Tucker, C., 2020. Monitoring intra and inter annual dynamics of forest degradation from charcoal production in Southern Africa with Sentinel–2 imagery. International Journal of Applied Earth Observation and Geoinformation, 92, p.102184.
Challenges in producing policy-relevant global scenarios of biodiversity and ecosystem services
Rosa, I.M., Purvis, A., Alkemade, R., Chaplin-Kramer, R., Ferrier, S., Guerra, C.A., Hurtt, G., Kim, H., Leadley, P., Martins, I.S. and Popp, A., 2020. Challenges in producing policy-relevant global scenarios of biodiversity and ecosystem services. Global Ecology and Conservation, 22, p.e00886.
Impact of fire and harvest on forest ecosystem services in a species‐rich area in the southern Appalachians
Ling, P. Y., Prince, S., Baiocchi, G., Dymond, C., Xi, W., & Hurtt, G. (2020). Impact of fire and harvest on forest ecosystem services in a species‐rich area in the southern Appalachians. Ecosphere, 11(6), e03150.
Pervasive shifts in forest dynamics in a changing world
McDowell, N. G., Allen, C. D., Anderson-Teixeira, K., Aukema, B. H., Bond-Lamberty, B., Chini, L., Clark, J. S., Dietze, M., Grossiord, C., Hanbury-Brown, A., Hurtt, G. C., Jackson, R. B., Johnson, D. J., Kueppers, L., Lichstein, J. W., Ogle, K., Poulter, B., Pugh, T. A. M., Seidl, R., … Xu, C. (2020). Pervasive shifts in forest dynamics in a changing world. Science, 368(6494), eaaz9463. https://doi.org/10.1126/science.aaz9463
Snowmelt velocity predicts vegetation green-wave velocity in mountainous ecological systems of North America
O’Leary III, D., Inouye, D., Dubayah, R., Huang, C., & Hurtt, G. (2020). Snowmelt velocity predicts vegetation green-wave velocity in mountainous ecological systems of North America. International Journal of Applied Earth Observation and Geoinformation, 89, 102110.
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
Dubayah, R., Blair, J. B., Goetz, S., Fatoyinbo, L., Hansen, M., Healey, S., ... & Armston, J. (2020). The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography. Science of Remote Sensing, 100002.
Monitoring forest degradation from charcoal production with historical Landsat imagery. A case study in southern Mozambique.
Sedano, F., Lisboa, S. N., Duncanson, L. i, Ribeiro, N., Sitoe, A., Sahajpal, R., et al. (2019). Monitoring forest degradation from charcoal production with historical Landsat imagery. A case study in southern Mozambique. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab3186
Global Carbon Budget 2019
Friedlingstein, P., Jones, M. W., O'Sullivan, M., Andrew, R. M., Hauck, J., Peters, G. P., Peters, W., Pongratz, J., Sitch, S., Le Quéré, C., Bakker, D. C. E., Canadell, J. G., Ciais, P., Jackson, R. B., Anthoni, P., Barbero, L., Bastos, A., Bastrikov, V., Becker, M., Bopp, L., Buitenhuis, E., Chandra, N., Chevallier, F., Chini, L. et. al.: Global Carbon Budget 2019, Earth Syst. Sci. Data, 11, 1783–1838, https://doi.org/10.5194/essd-11-1783-2019, 2019.
Potential Transient Response of Terrestrial Vegetation and Carbon in Northern North America from Climate Change
Flanagan, S. A., Hurtt, G. C., Fisk, J. P., Sahajpal, R., Zhao, M., Dubayah, R., Hansen, M. C., Sullivan, J. H., Collatz, G. J. (2019). Potential Transient Response of Terrestrial Vegetation and Carbon in Northern North America from Climate Change. Climate, 7(9), 113. https://doi.org/10.3390/cli7090113
High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA
Huang, W., Dolan, K., Swatantran, A., Johnson, K., Tang, H., O’Neil-Dunne, J., Dubayah, R, Hurtt, G. (2019). High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters, 14(9), 95002. https://doi.org/10.1088/1748-9326/ab2917
Charcoal-related forest degradation dynamics in dry African woodlands: Evidence from Mozambique
Silva, J., F. Sedano, S. Flanagan, Z. Ombe, R. Machoco, C. Meque, A. Sitoe, N. Riberio, K. Anderson, S. Baule, G. Hurtt. (2019) Charcoal-related Forest Degradation Dynamics in Dry African Woodlands: Evidence from Mozambique. Applied Geography. https://doi.org/10.1016/j.apgeog.2019.04.006.
Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA
Hurtt G. C., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R. Dubayah, J. P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O’Leary III, J. O’Neil-Dunne, A. Swatantran, H. Tang. (2019) Beyond MRV: High-resolution forest carbon modelling for climate mitigation planning over MD, USA. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab0bbe.
Taking climate model evaluation to the next level
Eyring, V., Cox, P. M., Flato, G. M., Gleckler, P. J., Abramowitz, G., Caldwell, P., et al. (2019). Taking climate model evaluation to the next level. Nature Climate Change. https://doi.org/10.1038/s41558-018-0355-y
Global Carbon Budget 2018
Le Quéré, C., Andrew, R. M., Friedlingstein, P., Sitch, S., Hauck, J., Pongratz, J., Pickers, P. A., Korsbakken, J. I., Peters, G. P., Canadell, J. G., Arneth, A., Arora, V. K., Barbero, L., Bastos, A., Bopp, L., Chevallier, F., Chini, L. P., Ciais, P., Doney, S. C., Gkritzalis, T., Goll, D. S., Harris, I., Haverd, V., Hoffman, F. M., Hoppema, M., Houghton, R. A., Hurtt, G. et. al.: Global Carbon Budget 2018, Earth Syst. Sci. Data, 10, 2141-2194, https://doi.org/10.5194/essd-10-2141-2018, 2018.
A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios
Kim, H., Rosa, I. M. D., Alkemade, R., Leadley, P., Hurtt, G., Popp, A., van Vuuren, D. P., Anthoni, P., Arneth, A., Baisero, D., Caton, E., Chaplin-Kramer, R., Chini, L., De Palma, A., et al: A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios, Geosci. Model Dev., 11, 4537-4562, https://doi.org/10.5194/gmd-11-4537-2018, 2018.
Quantifying long-term changes in carbon stocks and forest structure from Amazon forest degradation
Rappaport, D. I., Morton, D. C., Longo, M., Keller, M., Dubayah, R., & dos-Santos, M. N. (2018). Quantifying long-term changes in carbon stocks and forest structure from Amazon forest degradation. Environmental Research Letters, 13(6), 65013. https://doi.org/10.1088/1748-9326/aac331
Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps
O’Leary, D., Hall, D., Medler, M., & Flower, A. (2018). Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps. Frontiers of Earth Science. https://doi.org/10.1007/s11707-018-0719-7
Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event
Zhang, Z., Zimmermann, N. E., Calle, L., Hurtt, G., Chatterjee, A., & Poulter, B. (2018). Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event. Environmental Research Letters, 13(7), 74009. https://doi.org/10.1088/1748-9326/aac939
Attributing the Carbon Cycle Impacts of CMIP5 Historicaland Future Land Use and Land Cover Change in the Community Earth System Model (CESM1)
Lawrence, P. J., Lawrence, D. M., & Hurtt, G. C. (2018). Attributing the Carbon Cycle Impacts of CMIP5 Historical and Future Land Use and Land Cover Change in the Community Earth System Model (CESM1). Journal of Geophysical Research: Biogeosciences, 123(5), 1732–1755. https://doi.org/10.1029/2017jg004348
Global Carbon Budget 2017
Le Quéré, C., Andrew, R. M., Friedlingstein, P., Sitch, S., Pongratz, J., Manning, A. C., Korsbakken, J. I., Peters, G. P., Canadell, J. G., Jackson, R. B., Boden, T. A., Tans, P. P., Andrews, O. D., Arora, V. K., Bakker, D. C. E., Barbero, L., Becker, M., Betts, R. A., Bopp, L., Chevallier, F., Chini, L. P. et al: (2018) The Global Carbon Budget 2017. Earth System Science Data 10:405-448. https://doi.org/10.5194/essd-10-405-2018.
Quantifying the Effects of Historical Land Cover Conversion Uncertainty on Global Carbon and Climate Estimates
Di Vittorio, A. V., Mao, J., Shi, X., Chini, L., Hurtt, G., & Collins, W. D. (2018). Quantifying the effects of historical land cover conversion uncertainty on global carbon and climate estimates. Geophysical Research Letters, 45. https://doi.org/10.1002/2017GL075124
Synergy between land use and climate change increases future fire risk in Amazon forests
Le Page, Y., Morton, D., Hartin, C., Bond-Lamberty, B., Pereira, J. M. C., Hurtt, G., and Asrar, G.: Synergy between land use and climate change increases future fire risk in Amazon forests, Earth Syst. Dynam., 8, 1237-1246, https://doi.org/10.5194/esd-8-1237-2017, 2017.
Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)
Frieler, K., Lange, S., Piontek, F., Reyer, C. P. O., Schewe, J., Warszawski, L., Zhao, F., Chini, L., Denvil, S., Emanuel, K., Geiger, T., Halladay, K., Hurtt, G., Mengel, M., et al: Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geosci. Model Dev., 10, 4321-4345, https://doi.org/10.5194/gmd-10-4321-2017, 2017.
County-scale biomass map comparison: a case study for Sonoma, California
Wenli Huang, Anu Swatantran, Laura Duncanson, Kristofer Johnson, Dana Watkinson, Katelyn Dolan, Jarlath O'Neil-Dunne, George Hurtt & Ralph Dubayah (2017) Countyscale biomass map comparison: a case study for Sonoma, California, Carbon Management, 8:5-6, 417-434, DOI: 10.1080/17583004.2017.1396840
The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations
Jungclaus, J. H., Bard, E., Baroni, M., Braconnot, P., Cao, J., Chini, L. P., Egorova, T., Evans, M., González-Rouco, J. F., Goosse, H., Hurtt, G. C., et al: The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations, Geosci. Model Dev., 10, 4005-4033, https://doi.org/10.5194/gmd-10-4005-2017, 2017.
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Fisher_2017.png Vegetation demographics in Earth System Models: A review of progress and priorities
Fisher RA, Koven CD, Anderegg WRL, et al. Vegetation demographics in Earth System Models: A review of progress and priorities. Glob Change Biol. 2017;00:1–20. https://doi.org/10.1111/gcb.13910
Dolan_2017.jpg Disturbance Distance: quantifying forests' vulnerability to disturbance under current and future conditions
Katelyn A Dolan, George C Hurtt, Steve A Flanagan, Justin P Fisk, Ritvik Sahajpal, Chengquan Huang, Yannik Le Page, Ralph Dubayah and Jeffrey G Masek. 2017 Environ. Res. Lett. 12 114015
Snowmelt timing, phenology, and growing season length in conifer forests of Crater Lake National Park, USA
O’Leary, D.S., Kellermann, J.L. & Wayne, C. Int J Biometeorol (2017). https://doi.org/10.1007/s00484-017-1449-3
Thornton_2017.jpg" Biospheric feedback effects in a synchronously coupled model of human and Earth systems
Thornton, PE., Calvin, K., Jones, AD., Di Vittorio, AV., Bond-Lamberty, B., Chini, L., Shi, X., Mao, J., Colliins, WD., Edmonds, J., Thomson, A., Truesdale, J., Craig, A., Branstetter, M., Hurtt, G., (2017). Biospheric feedback effects in a synchronously coupled model of human and Earth systems. Nature Climate Change. doi:10.1038/nclimate3310
ONeill_2016.jpg" The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, BC, Tebaldi, C., van Vuuren, DP, Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, GA., Moss, R., Riahi, K., Sanderson, B. M. (2016).The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geosci. Model, doi:10.5194/gmd-9-3461-2016
Lawrence_2016.jpg" The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design
Lawrence, D. M., Hurtt, G. C., Arneth, A., Brovkin, V., Calvin, K. V., Jones, A. D., Jones, C. D., Lawrence, P. J., de Noblet-Ducoudré, N., Pongratz, J., Seneviratne, S. I., and Shevliakova, E.: The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design, Geosci. Model Dev., 9, 2973-2998, doi:10.5194/gmd-9-2973-2016, 2016.
Marselis_2016.jpg" Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification
Marselis SM, Yebra M, Jovanovic T., Dijk AIJM (2016). Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification. Environmental Modeling & Software, 82, 142-151. doi:10.1016/j.envsoft.2016.04.025
Hurtt_2016a.jpg" The Impact of Fine-Scale Disturbances on the Predictability of Vegetation Dynamics and Carbon Flux
Hurtt GC, Thomas RQ, Fisk JP, Dubayah RO, & Sheldon SL. (2016). The Impact of Fine-Scale Disturbances on the Predictability of Vegetation Dynamics and Carbon Flux. PLoS ONE, 11(4), e0152883–11. http://doi.org/10.1371/journal.pone.0152883
Flanagan_16.jpg" Potential Vegetation and Carbon Redistribution in Northern North America from Climate Change
Flanagan S, Hurtt G, Fisk J, Sahajpal R, Hansen M, Dolan K, Sullivan J, Zhao M (2016). Potential Vegetation and Carbon Redistribution in Northern North America from Climate Change. Climate 2016, 4(1), 2; doi:10.3390/cli4010002.
zhao_2015c.jpg" Spatiotemporal patterns of terrestrial gross primary production
Anav, A., P. Friedlingstein, C. Beer, P. Ciais, A. Harper, C. Jones, G. Murray-Tortarolo, D. Papale, N. C. Parazoo, P. Peylin, S. Piao, S. Sitch, N. Viovy, A. Wiltshire, and M. Zhao (2015). Spatiotemporal patterns of terrestrial gross primary production: A review. Reviews of Geophysics, 53(3), 785-818.
whuang_15b.png" Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA
Huang W, Swantaran A, Johnson K, Duncanson L, Tang H, O'Neil Dunne J, Hurtt G, Dubayah R (2015) Local Discrepancies in Continental Scale Biomass Maps: A Case Study over Forested and Non-Forested Landscapes in Maryland, USA. Carbon Balance and Management 10 (19). http://www.cbmjournal.com/content/10/1/19
whuang_15a.png" Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass
Huang W, Sun G, Ni W, Zhang Z, Dubayah R (2015) Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass. Remote Sensing 7 (8):9587-9609. http://www.mdpi.com/2072-4292/7/8/9587http://www.mdpi.com/2072-4292/7/8/ 9587.
zhao_15a.png" Comparing MODIS Net Primary Production Estimates with Terrestrial National Forest Inventory Data in Austria
Neumann M, Zhao M, Kindermann G, Hasenauer H.(2015) Comparing MODIS Net Primary Production Estimates with Terrestrial National Forest Inventory Data in Austria. Remote Sensing. Vol 7, Issue 4.
zhao_15b.png" Local cooling and warming effects of forests based on satellite observations
Li Y, Zhao M, Motesharrel S, Mu >Qiaozhen, Kalnay E, Li S.(2015) Local cooling and warming effects of forests based on satellite observations. Nature Communications. DOI: 10.1038/ncomms7603
jantz_2015.png" Future habitat loss and extinctions driven by land-use change in biodiversity hotspots under four scenarios of climate-change mitigation
Jantz SM, Barker B, Brooks TM, Chini LP, Huang Q, Moore RM, Noel J, Hurtt GC.(2015) Future habitat loss and extinctions driven by land-use change in biodiversity hotspots under four scenarios of climate-change mitigation. Conservation Biology. DOI: 10.1111/cobi.12549
zhao_2015a.png" Global satellite monitoring of climate-induced vegetation disturbances
McDowell NG, Coops NC, Beck PSA, Chambers JQ, Gangodagamage C, Hicke JA, Huang C, Kennedy R, Krofcheck DJ, Litvak M, Meddens AJH, Muss J, Negrón-Juarez R, Peng C, Schwantes AM, Swenson JJ, Vernon LJ, Williams AP, Xu C, Zhao M, Running SW, Allen CD. (2015) Global satellite monitoring of climate-induced vegetation disturbances. Trends in Plant Science. 20(2): 114 - 123. doi:10.1016/j.tplants.2014.10.008
zhao_2015.png" Dynamics of MODIS evapotranspiration in South Africa
Jovanovic N, Mu Q, Bugan RDH,Zhao M. (2015) Dynamics of MODIS evapotranspiration in South Africa. African Journals Online. ISSN 1816-7950.
sedano_2015.png" A Kalman Filter-Based Method to Generate Continuous Time Series of Medium-Resolution NDVI Images
Sedano F, Kempeneers P, Hurtt GC. (2014) A Kalman Filter-Based Method to Generate Continuous Time Series of Medium-Resolution NDVI Images. Remote Sensing. 6(12):12381-12408.
leadley_2014.png" Identifying representative crop rotation patterns and grassland loss in the US Western Corn Belt
Sahajpal R, Zhang X, Izaurralde RC, Gelfand I, Hurtt GC. (2014). Identifying representative crop rotation patterns and grassland loss in the U.S. western corn- belt. Computers and Electronics in Agriculture, 108, 173-182. DOI: 10.1016/j.compag.2014.08.005
Negron_15.png" Multi-scale sensitivity of Landsat and MODIS to forest disturbance associated with tropical cyclones
Negrón-Juárez R, Baker DB, Chambers JQ, Hurtt GC, Goosem S. (2014). Multi-scale sensitivity of Landsat and MODIS to forest disturbance associated with tropical cyclones. Remote Sensing of Environment, 140, 679–689. http://doi.org/10.1016/j.rse.2013.09.028
leadley_2014.png" Interacting Regional-Scale Regime Shifts for Biodiversity and Ecosystem Services
Leadley P, Proença V, Fernández-Manjarrés J, Pereira HM, Alkemade R, Biggs R, Bruley E, Cheung W, Cooper D, Figueiredo J, Gilman E, Guénette S, Hurtt GC, Mbow C, Oberdorff T, Revenga C, Scharlemann JPW, Scholes R, Smith MS, Sumaila UR, Walpole M. (2014) Interacting Regional-Scale Regime Shifts for Biodiversity and Ecosystem Services. BioScienc. doi: 10.1093/biosci/biu093
Xiao_2014.png" Data-driven diagnostics of terrestrial carbon dynamics over North America
Xiao J, Ollinger SV, Frolking S, Hurtt > GC, Hollinger DY, Davis KJ, Pan Y, Zhang X, Deng F, Chen J, Baldocchi D, Law BE., Altaf Arain M, Desai AR, Richardson AD, Sun G, Amiro B, Margolis H, Ru L, Scott RL, Blanken PD, Suyker AE, (2014) Data-driven diagnostics of terrestrial carbon dynamics over North America. ScienceDirect, DOI: 10.1016/j.agrformet.2014.06.013.
vittorio_2014.png" From land use to land cover: restoring the afforestation signal in a coupled integrated assessment – earth system model and the implications for CMIP5 RCP simulations
De Vittorio AV, Chini LP, >Bond-Lamberty B, Mao J, Shi X, Truesdale J, Craig A, Calvin K, Jones A, Collins WD, Edmonds J,Hurtt GC, Thornton P, Thomson A. (2014) From land use to land cover: Restoring the afforestation signal in a coupled integrated assessment-earth system model and the implications for CMIP5 RCP simulations. Biogeosciences Discussion. 11, 7151-7188.
Mueller_2014.png" Human Land-Use Practices Lead to Global Long-Term Increases in Photosynthetic Capacity
Mueller T, Dressler G, Tucker CJ, Pinzon JE, Leimgruber P, Dubayah RO, Hurtt GC, Bohning-Gaese K, Fagan WF.(2014) Human Land-Use Practices Lead to Global Long-Term Increases in Photosynthetic Capacity. Remote Sens. 2014, 6(6), 5717-5731; doi:10.3390/rs6065717
Negron_2014.png" Remote Sensing Assessment of Forest Disturbance across Complex Mountainous Terrain: The Pattern and Severity of Impacts of Tropical Cyclone Yasi on Australian Rainforests
Negron-Juarez RI, Chambers JG, Hurtt GC, Annane B, Cocke S, Powell M, Stott M, Goosem S, Metcalfe DJ, Saatchi SS. (2014) Remote Sensing Assessment of Forest Disturbance across Complex Mountainous Terrain: The Pattern and Severity of Impacts of Tropical Cyclone Yasi on Australian Rainforests. Remote Sens. 6(6), 5633-5649; doi:10.3390/rs6065633
lequere_2013.png" Global carbon budget 2013
Le Quéré C, Peters GP, Andres RJ, Andrew RM, Boden TA, Ciais P, Friedlingstein P, Houghton RA, Marland G, Moriarty R, Sitch S, Tans P, Arneth A, Arvanitis A, Bakker DCE, Bopp L, Canadell JG, Chini LP, Doney SC, Harper A, Harris I, House JI, Jain AK, Jones SD, Kato E, Keeling RF, Goldewijk KK, (2014) Global carbon budget 2013, Earth Syst. Sci. doi:10.5194/essd-6-235-2014.
Hansen_2013.png" High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen MC, Potapov PV, Moore R, Hancher M,Turubanova SA, Tyukavina A, Thau D, Stehman SV, Goetz SJ, Loveland TR, Kommareddy A, Egorov A, Chini LP, Justice CO, Townshend JRG. (2013) High-Resolution Global Maps of 21st-Century Forest Cover Change. Science DOI: 10.1126/science.1244693
fisk_2013.png" The impacts of tropical cyclones on the net carbon balance of eastern US forests (1851-2000)
Fisk JP, Hurtt GC, Chambers JQ, Zeng H, Dolan KA, Negrón-Juárez RI. (2013) The net impacts of tropical cyclones on the carbon balance of eastern U.S. forests. Environmental Research Letters. DOI:10.1088/1748-9326/8/4/045017
shevliakova_2013.png" Historical warming reduced due to enhanced land carbon uptake
Shevliakova E, Stouffer RJ, Malyshev S, Krasting JP, Hurtt GC, Pacala SW. (2013) Historical warming reduced due to enhanced land carbon update, PNAS doi: 10.1073/pnas.1314047110
brovkin_2013.png" Effect of anthropogenic land-use and land- cover changes on climate and land carbon storage in CMIP5 projections for the 21st century
Brovkin V, Boysen L, Arora VK, Boisier JP, Cadule P, Chini L, Claussen M, Friedlingstein P, Gayler V, van den Hurk BJJM, Hurtt GC, Jones CD, Kato E, de Noblet-Ducoudré N, Pacifico F, Pongratz J, Weiss M.(2013) Effect of anthropogenic land-use and land- cover changes on climate and land carbon storage in CMIP5 projections for the 21st century, J. Climate 26: 6859-6881. DOI: 10.1175/JCLI-D-12-00623.1
Jones_2013.png" Greenhouse Gas Policy Influences Climate via Direct Effects of Land-Use Change
Jones AD, Collins WD, Edmonds J, Torn MS, Janetos A, Calvin KV, Thomson A, Chini LP, Mao J, Shi X, Thornton P, Hurtt GC, Wise M. (2013) High-Resolution Global Maps of 21st-Century Forest Cover Change. Science DOI: 10.1126/science.1244693
morton_2013.png" Understorey fire frequency and the fate of burned forests in southern Amazonia
Morton DC, Le Page Y, DeFries R, Collatz GJ, Hurtt GC, (2013) Understorey fire frequency and the fate of burned forests in southern Amazonia. Philosophical Transactions of Royal Society. DOI: 10.1098/rstb.2012.0163.
lepagea_2013.png" Sensitivity of Climate Mitigation Strategies to Natural Disturbances
Le Page Y, Hurtt GC, Thomson AM, Bond-Lamberty B, Patel P, Wise M, Calvin K, Kyle P, Clarke L, Edmonds J, Janetos A. (2013) Sensitivity of Climate Mitigation Strategies to Natural Disturbances. Environmental Research Letters. 8 (1): 015018. DOI:10.1088/1748-9326/8/1/015018
Hurtt_2013a.png" Essential Biodiversity Variables
Pereira HM, Ferrier S, Walters M, Geller GN, Jongman RHG, Scholes RJ, Bruford MW, Brummitt N, Butchart SHM, Cardoso AC, Coops NC, Dulloo E, Faith DP, Freyhof J, Gregory RD, Heip C, Höft R, Hurtt GC, Jetz W, Karp DS, McGeoch MA, Obura D, Onoda Y, Pettorelli N, Reyers B, Sayre R, Scharlemann JPW, Stuart SN, Turak E, Walpole M, Wegmann M. (2013) Science. doi:10.1126/science.1229931
Sahajpal_2013.png' Sustainable bioenergy production from marginal lands in the US Midwest
Gelfand I, Sahajpal R, Zhang X, > Izaurralde RC, Gross KL, Robertson GP. (2013). Nature. doi:10.1038/nature11811
Brolly_2012(a).png A “Matchstick Model” of Microwave backscatter from a forest
Brolly M, Woodhouse IH. (2012). Ecological Modeling. Volumes 237-238, pp.74-87.
Brolly_2012.png A Macroecological Analysis of SERA Derived Forest Heights and Implications for Forest Volume Remote Sensing
Brolly M, Woodhouse IH, Niklas KJ, Hammond ST (2012), PLoS ONE 7(3): e33927. doi:10.1371/journal.pone.0033927
hall_2011.png Characterizing 3D vegetation structure from space: Mission requirements
Hall F, Bergen K, Blair J, Dubayah R, Houghton R, Hurtt G, Kellndorfer J, Lefsky M, Ranson J, Saatchi S, Shugart H, Wickland D, (2011), Remote Sensing of Environmnet Vol. 115 2754-2775 doi:10.1016/j.rse.2011.01.024 doi:10.1029/2009JG000937
hurtt_2011.png Harmonization of Land-Use Scenarios for the Period 1500-2100: 600 Years of Global Gridded Annual Land-Use Transitions, Wood Harvest, and Resulting Secondary Lands
Hurtt GC, Chini, LP, Frolking S, Betts R, Feedema J, Fischer G, Fisk J, Hibbard K, Houghton R, Janetos A, Jones C, Kindermann, G, Kinoshita T, Goldewijk K, Riahi K, Shevliakova E, Smith S, Stehfest E, Thomson A, Thorton P, van Vuuren D, Wang Y. (2011) Climatic Change. DOI: 10.1007/s10584-011-0153-2
vuuren_2011 The Representative Concentration Pathways: An Overview
van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt G, Kram T, Krey V, Lamarque JF, et al. (2011), Climatic Change. DOI 10.1007/s10584-011-0148-z.
Jones_2011.png The HadGEM2-ES implementation of CMIP5 centennial simulations
Jones, CD, Hughes JK, Bellouin N, Hardiman SC, Jones GS, Knight J, Liddicoat S, O'Connor FM, Andres JR, Bell C, Boo KO, Bozzo A, Butchart1 N, Cadule P, Corbin KD, Doutriaux-Boucher M, Friedlingstein P, Gornall J, Gray L, Halloran PR, Hurtt G, et al. (2011). Geoscientific Model Development Discussions 4 689-763. DOI:10.5194/gmdd-4-689-2011.
william_2011 Building a Model of Collaboration Between Historically Black and Historically White Universities
Williams JE, Wake C, Hayden LB, Abrams ED, Hurtt GC, Rock WBN, Graham KG, Hale S, Porter W, Blackmon R, LeCompte M, Johnson D. (2011), Journal of Higher Education Outreach and Engagement 15(2):35-55.
Morton_2011.png Mapping Canopy Damage from Understory Fires in Amazon Forests
Morton DC, DeFries RS, Nagol J, Souza CM, Kasischke ES, Hurtt GC, Dubayah R. (2011). Remote Sensing of Environment 115(7):1706-1720
Dolan_2010.png Using ICESat's Geoscience Laser Altimeter System (GLAS) to assess large-scale forest disturbance caused by hurricane Katrina
Dolan KA, Hurtt GC, Chambers J, Dubayah R, Frolking S, (2011), Remote Sensing of Environment 115(1): 86-96. doi: 10.1016/j.rse.2010.08.007
Pereira_2010.png Scenarios for Global Biodiversity in the 21st Century
Pereira HM, Leadley PW, Proenca V, Alkemade R, Scharlemann JPW, Fernandez-Manjarres JF, Araujo MB, Balvanera P, Biggs R, Cheung WWL, Chini L, Cooper HD, Gilman EL, Guenette S, Hurtt GC, et al. (2010), Science. doi:10.1126/science.1196624.
Thomson_2011.png Climate Mitigation and the Future of Tropical Landscapes
Thomson AM, Calvin KV, Chini LP, Hurtt GC, Edmonds JA, Bond-Lamberty B, Frolking S, Wise MA, Janetos AC. (2010), doi: 10.1073/pnas.0910467107.
hurtt_2010.png Linking models and data on vegetation structure
Hurtt GC, Fisk J, Thomas RQ, Dubayah R, Moorcroft PR, Shugart HH. (2010), J. Geophys. Res., vol. 115, G00E10, doi:10.1029/2009JG000937
dubayah_2010.jpg Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica
Dubayah RO, Sheldon SL, Clark DB, Hofton MA, Blair JB, Hurtt GC, Chazdon RL. (2010), J. Geophys. Res., vol. 115 pp. G00E09, doi:10.1029/2009JG000933
dolan_2009.jpg Regional forest growth rates measured by combining ICESat GLAS and Landsat data
Dolan K, Masek JG, Huang C, Sun G. (2009), J. Geophys. Res., 114, G00E05, doi:10.1029/2008JG000893.
Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure
 
Frolking, S, Palace MW, Clark DB, Chambers JQ, Shugart HH, and Hurtt GC (2009) J. Geophys. Res., 114, G00E02, doi:10.1029/2008JG000911.
hurtt_2009.png Harmonisation of global land-use scenarios for the period 1500–2100 for IPCC-AR5
Hurtt GC, Chini LP, Frolking S, Betts R, Feddema J, Fischer G, Klein Goldewijk K, Hibbard K, Janetos A, Jones C, Kindermann G, Kinoshita T, Riahi K, Shevliakova E, Smith S, Stehfest E, Thomson A, Thornton P, van Vuuren D and Wang YP. (2009) iLEAPS Newsletter. Issue No. 7: 6-8.
zeng.png Impacts of tropical cyclones on U.S. forest tree mortality and carbon flux from 1851 to 2000
Zeng H, Chambers JQ, Negrón-Juárez RI, Hurtt GC, Baker DB, Powell MD. (2009) Proceedings of the National Academy of Sciences (PNAS) doi: 10.1073/pnas.0808914106.
shevliakova_2009.png Carbon cycling under 300 years of land use change: Importance of the secondary vegetation sink
Shevliakova E, Pacala SW, Malyshev S, Hurtt GC, Milly PCD, Caspersen JP, Sentman L, Fisk JP, Wirth C, and Crevoisier C (2009), Carbon Cycling Under 300 Years of Land-use Changes in the Dynamic Land Model LM3V. Global Biogeochemical Cycles 23(2): doi: 10.1029/2007GB003176.
thomas_2008.png Using lidar data and a height-structured ecosystem model to estimate forest carbon stocks and fluxes over mountainous terrain
Thomas RQ, Hurtt GC, Dubayah R, Schilz, MH. (2008) Can. J. Remote Sensing 11(Suppl. 2): S351-S363.
fisher_2008.png Clustered disturbances lead to bias in large-scale estimates based on forest sample plots
Fisher JI, Hurtt GC, Thomas RQ, Chambers JQ. (2008) Ecology Letters 11: 1-10, doi:10.1111/j.1461-0248.2008.01169.x
dalmedia.png The effects of deforestation on the hydrological cycle in Amazonia: a review on scale and resolution
D'Almeida C, Vörösmarty CJ, Hurtt GC, Marengo JA, Dingman SL, Keim BD. (2007) International Journal of Climatology 27: 633-647.
katrina.png Hurricane Katrina's Carbon Footprint on U.S. Gulf Coast Forests
Chambers JQ, Fisher JI, Zeng H, Chapman EL, Baker DB, Hurtt GC. (2007) Science 318: 1107.
girod.png The Tension between Fire Risk and Carbon Storage: Evaluating U.S. Carbon and Fire Management Strategies through Ecosystem Models
Girod CM, Hurtt GC (2007) Earth Interactions 11: Paper No 2 Page 1.
Land
Use The contributions of land-use change, CO2 fertilization, and climate variability to the Eastern US carbon sink
Albani M, Medvigy D, Hurtt GC, Moorcroft PR. (2006) Global Change Biology 12: 2370-2390, doi: 10.1111/j.1365-2486.2006.10254.x.
hurttv54p329.png Broadening students horizons: the development, delivery, and assessment of a new course in Earth System Science.
Hurtt GC, Wake C, Wawrzeniak T, Frappier A, Girod C, Seidel L, Salomonson V. (2006) Journal of Geoscience Education 54(3): 329-338.
D'Almeida et al A water balance model to study the hydrological response to different scenarios of deforestation in Amazonia
D'Almeida C, Vörösmarty CJ, Marengo JA, Hurtt GC, Dingmain L, Keim BD. (2006) Journal of Hydrology 331: 125-136
Land Use The underpinnings of land-use history: three centuries of global gridded land-use transitions, wood harvest activity, and resulting secondary lands.
Hurtt GC, Frolking S, Fearon MG, Moore III B, Shevliakova E, Malyshev S, Pacala SW, Houghton RA. (2006) Global Change Biology 12:1208-1229, doi: 10.1111/j.1365-2486.2006.01150.x
Cardosa et al Field work and statistical analyses for enhanced interpretation of satellite fire data
Cardoso M, Hurtt GC, Nobre C, Moore B, Bain H. (2005) Remote Sensing of Environment 96: 212-227.
deGuinni et al Regulation of Natural Hazards: Floods and Fires
de Guenni, LB, Cardoso MF, Goldammer J, Hurtt GC, Mata JL, Ebi K, House J, Valdes J. (2005) Chapter 16 in: Ecosystems and Human Well Being: Current State and Trends: Findings of the Condition and Trends Working Group, edited by Hassan R, Scholes R, Ash N.
Hurtt et al 2004 Beyond Potential Vegetation: Combining LIDAR Data and a Height-Structured Model for Carbon Studies
Hurtt GC, Dubayah R, Drake J, Moorcroft PR, Pacala SW, Blair JB, Fearon, MG. (2004) Ecological Applications 14(3): 873-883
Purves et al 2004 Human-induced changes in US biogenic volatile organic compound emissions: evidence from long-term forest inventory data
Purves DW, Caspersen JP, Moorcroft PR, Hurtt GC, Pacala SW. (2004) Global Change Biology 10, 1–19, doi: 10.1111/j.1365-2486.2004.00844.x
Hurtt et al 2002 Projecting the future of the U.S. carbon sink
Hurtt GC, Pacala SW, Moorcroft PR, Caspersen J, Shevliakova E, Houghton RA, Moore B. (2002) Proceedings of the National Academy of Sciences of the United States (PNAS) 99(3): 1389-1394.
Pacala et al
2001 Consistent Land- and Atmosphere-Based U.S. Carbon Sink Estimates
Pacala SW, Hurtt GC, Baker D, Peylin P, Houghton RA, Birdsey RA, Heath L, Sundquist ET, Stallard RF, Ciais P, Moocroft P, Caspersen JP, Shevliakova E, Moore B, Kohlmaier G, Holland E, Gloor M, Harmon ME, Fan SM, Sarmiento JL, Goodale CL, Schimel D, Field CB. (2001) Science 292:2316-2320.
Caspersen
et al 2000 Contributions of land-use history to carbon accumulation in US forests
Caspersen J, Pacala SW, Jenkins JC, Hurtt GC, Moorcroft PR, Birdsey RA (2000). Science 290 (5494): 1148-1151.