Student (†) and Postdoc (‡) advisees are underlined
Submitted, under review, or in revision
Bacour, C., N. MacBean, F. Chevallier, S. Léonard, E. Koffi, and P. Peylin (2022), Assimilation of multiple different datasets results in large differences in regional to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model. In revision for Biogeosciences.
Published
2022
Wang, L., W. Jiao, N. MacBean, M. C. Ruilli, S. Manzoni, G. Vico and P. D’Odorio (2022), Dryland productivity under a changing climate: global trends, key drivers, and uncertainties. Accepted in Nature Climate Change.
Kumar, S., J. Kolassa, R. Reichle, W. Crow, G. de Lannoy, P. de Rosnay, N. MacBean, M. Girotto, A. Fox, T. Quaife, C. Draper, B. Forman, G. Balsamao, S. Steele-Dunne, C. Albergel, B. Bonan, J.-C. Calvet, J. Dong, H. Liddy, and B. Ruston (2022), An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space, Journal of Advances in Modeling Earth Systems, 14, e2022MS003259.
†Pervin, R., S. Robeson, and N. MacBean (2022), Fusion of airborne hyperspectral and LiDAR canopy-height data for estimating fractional cover of tall woody plants, herbaceous vegetation, and other soil cover types in a semi-arid savanna ecosystem, International Journal of Remote Sensing, 43, 3890-3926.
Fox, A., X. Huo, T. Hoar, H. Dashti, W. K. Smith, N. MacBean, J. A. Anderson, M. C. Roby, and D. J. P. Moore (2022), Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems, Journal of Geophysical Research: Biogeosciences, 127, e2022JG006830.
MacBean, N., C. Bacour, N. Raoult, V. Bastrikov, E. N. Koffi, S. Kuppel, F. Maignan, C. Ottlé, M. Peaucelle, D. Santaren, and P. Peylin (2022), Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies with the ORCHIDEE Terrestrial Biosphere Model, Global Biogeochemical Cycles, 36, e2021GB007177. url
Novick, K., D. L. Ficklin, D. Baldocchi, K. J. Davis, T. Ghezzehei, A. G. Konings, N. MacBean, N. Raoult, R. L. Scott, Y. Shi, B. N. Sulman, and J. D. Wood (2022), Confronting the Water Potential Information Gap, Nature Geosciences, 15, 158-164. url
MacBean, N., H. Liddy, T. Quaife, J. Kolassa, and A. Fox (2021), Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions, Bulletin of the American Meteorological Society, 103, E733-E740. url
2021
Barnes, M. L., M. M. Farella, R. L. Scott, D. J.P. Moore, G. E. Ponce-Campos, J. A. Biederman, N. MacBean, M. E. Litvak, and D. D. Breshears (2021), Improved dryland carbon flux predictions with explicit consideration of water-carbon coupling, Communications: Earth & Environment, 2, 248, https://doi.org/10.1038/s43247-021-00308-2. url
‡Mahmud, K, J. A. Biederman, R. L. Scott, M. E. Litvak, T. Kolb, T. P. Meyers, P. Krishnan, V. Bastrikov, and N. MacBean(2021), Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter-Annual Variability, Journal of Geophysical Research – Biogeosciences, 126, e2021JG006400. url
MacBean, N., R. L. Scott, J. A. Biederman, P. Peylin, T. Kolb, M. Litvak, P. Krishnan, T. Meyers, V. Arora, V. Bastrikov, D. Goll, D. L. Lombardozzi, J. Nabel, J. Pongratz, S. Sitch, A. P. Walker, S. Zaehle, and D. J. P. Moore (2021), Dynamic Global Vegetation Models Underestimate Net CO2 Flux Mean and Inter-Annual Variability in Semiarid Ecosystems, Environmental Research Letters, 16, 094023. url pdf
2020
MacBean, N., R.L. Scott, J.A. Biederman, C. Ottlé, N. Vuichard, A. Ducharne, T. Kolb, S. Dore, M. Litvak and D.J.P. Moore (2020), Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites, Hydrology and Earth System Sciences, 24, 5203-5230. pdf url
Walker, A. P., M. G. De Kauwe, A. Bastos, S. Belmecheri, K. Georgiou, R. Keeling, S. McMahon, B. E. Medlyn, D. J. P. Moore, R. J. Norby, S. Zaehle, K. J. Anderson-Teixeira, G. Battipaglia, R. J. W. Brienen, K. Cabugao, M. Cailleret, E. Campbell, J. Canadell, P. Ciais, M. E. Craig, D. Ellsworth, G. Farquhar, S. Fatichi, J. B. Fisher, D. Frank, H. Graven, L. Gu, V. Haverd, K. Heilman, M. Heimann, B. A. Hungate, C. M. Iversen, F. Joos, M. Jiang, T. F. Keenan, J. Knauer, W. K. Smith, C. Körner, V. O. Leshyk, S. Leuzinger, Y. Liu, N. MacBean, Y. Malhi, T. McVicar, J. Penuelas, J. Pongratz, A. Shafer Powell, T. Riutta, M. E. B. Sabot, J. Schleucher, S. Sitch, B. Sulman, B. Taylor, C. Terrer, M. Torn, K. Treseder, A. T. Trugman, S. Trumbore, P. J. van Mantgem, S. L. Voelker, M. Whelan, and P. Ziudema (2020), Integrating evidence for a terrestrial carbon sink caused by increasing atmospheric CO2, New Phytologist, 229, 2413–2445. url
Parazoo, N., T. Magney, A. Norton, B. Raczka, C. Bacour, F. Maignan, I. Baker, Y. Zhang, B. Qiu, M. Shi, N. MacBean, D. Bowling, S. Burns, P. Blanken, J. Stutz, K. Grossman, and C. Frankenberg (2020), Wide Discrepancies in the Magnitude and Direction of Modelled SIF in Response to Light Conditions, Biogeosciences, 17, 3733-3755. pdf
Smith, W.K., A. Fox, N. MacBean, D.J.P. Moore and N. Parazoo (2020), Constraining estimates of terrestrial carbon uptake: New opportunities using long-term satellite observations and data assimilation, New Phytologist, 225, 105-112, doi: 10.1111/nph.16055. (Invited Tansley Insight). url pdf
2019
Smith, W.K., M. Dannenberg, D. Yan, S. Herrmann, M.L. Barnes, G.A. Barron-Gafford, J.A. Biederman, S. Ferrenberg, A.M. Fox, A.R. Hudson, J.F. Knowles, N. MacBean, D.J.P. Moore, P.L. Nagler, S.C. Reed, W.A. Rutherford, R.L. Scott, X. Wang and J. Yang (2019), Remote sensing of dryland ecosystem structure and function: Progress, challenges and opportunities, Remote Sensing of Environment, 233, 111401. url.
Bacour, C., F. Maignan, P. Peylin, N. MacBean, V. Bastrikov, J. Joiner, P. Köhler, L. Guanter, and C. Frankenberg (2019), Differences between OCO2 and GOME2 SIF products from a model-data fusion perspective, JGR-Biogeosciences, 124, 3143–3157. url.
Bacour, C., F. Maignan, N. MacBean, A. Porcar-Castell, J. Flexas, C. Frankenberg, P. Peylin, F. Chevallier and N. Vuichard (2019), Improving estimates of Gross Primary Productivity by assimilating solar-induced fluorescence satellite retrievals in a terrestrial biosphere model using a mechanistic SIF model, JGR-Biogeosciences 124, doi: 10.1029/2019JG005040. url.
Duncanson, L., J. Armston, M. Disney, V. Avitabile, N. Barbier, K. Calders, S. Carter, J. Chave, M. Herold, T. Crowther, M. Falkowski, J. Kellner, N. Labrière, R. Lucas, N. MacBean, R.E. McRoberts, V. Meyer, E. Næsset, J.E. Nickeson, K.I. Paul, O.L. Phillips, M. Réjou- Méchain, M. Román, S. Roxburgh, S. Saatchi, D. Schepashenko, K. Scipal, P.R. Siqueira, M. Williams, and A. Whitehurst (2019), The Importance of Consistent Global Forest Aboveground Biomass Product Validation. Surveys in Geophysics, 40, 979-999. doi: 10.1007/s10712-019-09538-8. url
Exbrayat, J.-F., A. A. Bloom, N. Carvalhais, R. Fischer, A. Huth, N. MacBean and M. Williams (2019), Understanding the land carbon cycle with space data: current status and prospects. Surveys in Geophysics, 40, 735-755. doi: 10.1007/s10712-019-09506-2. url
2018
Bastrikov, V., N. MacBean, C. Bacour, D. Santaren, S. Kuppel and P. Peylin (2018), Land surface model parameter optimisation using in-situ flux data: comparison of gradient-based versus random search algorithms, Geoscientific Model Development, 11, 4739-4754. pdf
Fox, A.M., T.J. Hoar, J.L. Anderson, A.F. Arellano, W.K. Smith, M.E. Litvak, N. MacBean, D.S. Schimel, and D.J.P. Moore (2018), Evaluation of a Data Assimilation System for Land Surface Models using CLM4.5. Journal of Advances in Modeling Earth Systems, 10, 2471–24942. pdf
Liu, D., Y. Li, T. Wang, P. Peylin, N. MacBean, P. Ciais, G. Jia, M. Ma, Y. Ma, M. Shen, X. Zhang and S. Piao (2018), Contrasting responses of grassland water and carbon exchanges to climate change between the Tibetan Plateau and Inner Mongolia, Agricultural and Forest Meteorology, 249, 163-175. url
MacBean, N., F. Maignan, C. Bacour, P. Lewis, P. Peylin, L. Guanter, P. Köhler, J. Gomez-Dans and M. Disney (2018), Strong constraint on modeled global carbon uptake using solar-induced chlorophyll fluorescence data, Scientific Reports, 8, 1973, doi: 10.1038/s41598-018-20024-w. pdf
Li, W., N. MacBean, P. Ciais, P. Defourny, C. Lamarche, S. Bontemps, R. A. Houghton and S. Peng (2018), Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015). Earth Syst. Sci. Data, 10, 219-234. pdf
Smith, W.K., J.A Biederman, R.L. Scott, D.J.P. Moore, M. He, J.S. Kimball, D. Yan, A. Hudson, M.L. Barnes, N. MacBean, A. Fox and M.E. Litvak (2018), Chlorophyll fluorescence better captures seasonal and interannual gross primary productivity dynamics across dryland ecosystems of southwestern North America, Geophys. Res. Lett., 45, 748–757. url
2017
Hartley, A., N. MacBean, G. Georgievski and S. Bontemps (2017), Uncertainty in plant functional type distributions and its impact on land surface models. Remote Sensing of Environment, 203, 71-89. url
Montané, F., Fox, A. M., Arellano, A. F., MacBean, N., Alexander, M. R., Dye, A., Bishop, D. A., Trouet, V., Babst, F., Hessl, A. E., Pederson, N., Blanken, P. D., Bohrer, G., Gough, C. M., Litvak, M. E., Novick, K. A., Phillips, R. P., Wood, J. D., and Moore, D. J. P. (2017), Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools and turnover in temperate forests, Geosci. Model Dev. 10, 3499-3517, https://doi.org/10.5194/gmd-10-3499-2017. pdf
Li, Y., H. Yang, T. Wang, N. MacBean, C. Bacour, P. Ciais, Y. Zhang, G. Zhou and S. Piao (2017), Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests, and its implication for simulated climate sensitivities, Global Biogeochemical Cycles, 31, doi:10.1002/2017GB005714.
Walker, A. P., T. Quaife, P. M. van Bodegom, M. G. De Kauwe, T. F. Keenan, J. Joiner, M. R. Lomas, N. MacBean, C. Xu, X. Yang and F. I. Woodward (2017), The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (Vcmax) on global gross primary production, New Phytologist, 215, 1370–1386, doi:10.1111/nph.14623. url
Thum, T., N. MacBean, P. Peylin, C. Bacour, D. Santaren, B. Longdoz, D. Loustau and P. Ciais (2017) The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: case studies at two temperate forest sites, Agricultural and Forest Meteorology, 234, 48-65. url
2016
MacBean, N., P. Peylin, F. Chevallier, M. Scholze, M., and G. Schürmann (2016) Consistent assimilation of multiple data streams in a carbon cycle data assimilation system, Geoscientific Model Development, 9, 3569-3588, doi:10.5194/gmd-9-3569-2016. url pdf
Peylin, P., C. Bacour, N. MacBean, S. Leonard, P.J. Rayner, S. Kuppel, E.N. Koffi, A. Kane, F. Maignan, F. Chevallier, P. Ciais and P. Prunet (2016), A new step-wise Carbon Cycle Data Assimilation System using multiple data streams to constrain the simulated land surface carbon cycle, Geoscientific Model Development, 9, 3321-3346, doi:10.5194/gmd-9-3321-2016. url pdf
Li, W., P. Ciais, N. MacBean, S. Peng, P. Defourny and S. Bontemps (2016), Major forest changes and land cover transitions based on plant functional types derived from the ESA CCI Land Cover product. International Journal of Applied Earth Observation and Geoinformation, 47, 30-39. url
2015
MacBean, N., F. Maignan, P. Peylin, C. Bacour, P. Ciais and F.-M. Bréon (2015), Using satellite data to improve the leaf phenology of a global terrestrial biosphere model, Biogeosciences, 12, 7185-7208. url pdf
Bacour, C., P. Peylin, N. MacBean, P. J. Rayer, F. Delage, F. Chevallier, M. Weiss, J. Demarty, D. Santaren, F. Baret, D. Berveiller, E. Dufrêne and P. Prunet (2015), Joint assimilation of eddy-covariance flux measurements and satellite observations within a process-oriented biosphere model, Journal of Geophysical Research Biogeosciences, 120, 1839–1857, doi: 10.1002/2015JG002966. url pdf
Poulter, B., N. MacBean, A. Hartley, I. Khlystova, O. Arino, R. Betts, S. Bontemps, M. Boettcher, C. Brockmann, P. Defourny, S. Hagemann, M. Herold, G. Kirches, C. Lamarche, D. Lederer, C. Ottlé, M. Peters, and P. Peylin (2015), Plant functional type classification for Earth System Models: results from the European Space Agency’s Land Cover Climate Change Initiative, Geoscientific Model Development, 8, 2315-2328, doi:10.5194/gmd-8-2315-2015. url pdf
Naudts, K., J. Ryder, M. J. McGrath, J. Otto, Y. Chen, A. Valade, V. Bellasen, G. Berhongaray, G. Bönisch, M. Campioli, J. Ghattas, T. De Groote, V. Haverd, J. Kattge, N. MacBean, F. Maignan, P. Merilä, J. Penuelas, P. Peylin, B. Pinty, H. Pretzsch, E. D. Schulze, D. Solyga, N. Vuichard, Y. Yan, and S. Luyssaert (2015) A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes, Geoscientific Model Development, 8, 2035-2065. url pdf
Wang, X., S. Piao, X. Xu, P. Ciais, N. MacBean, R.B. Myneni and L. Li (2015) Has the advancing onset of spring vegetation green-up slowed down or changed abruptly over the past three decades? Global Ecology and Biogeography, 24, 621-631, doi: 10.1111/geb12289. url pdf
2014
MacBean, N. and P. Peylin (2014), Biogeochemistry: Agriculture and the Global Carbon Cycle, Nature (News and Views), 515, 351-352, doi: 10.1038/515351a. url pdf
Traore, A., P. Ciais, N. Vuichard, N.MacBean, C. Dardel, B. Poulter, S. Piao, J.B. Fisher, N. Viovy, M. Jung and R. Myneni (2014) 1982-2010 Trends of Light use Efficiency and Inherent Water use Efficiency in African vegetation: Sensitivity to Climate and Atmospheric CO2 Concentrations, Remote Sensing, 6, 8923-8944, doi: 10.3390/rs6098923. url pdf
2010
Walker, R.T., M. Talebian, S. Saiffori, R.A. Sloan, A. Rasheedi, N. MacBean and A. Ghassemi (2010) Active faulting, earthquakes, and restraining bend development near Kerman city in southeastern Iran, Journal of Structural Geology, 32(8), 1046-1060. url pdf
Book chapters and other published works
Duncanson, L., Armston, J., Disney, M., Avitabile, V., Barbier, N., Calders, K., Carter, S., Chave, J., Herold, M., MacBean, N., McRoberts, R., Minor, D., Paul, K., Réjou-Méchain, M., Roxburgh, S., Williams, M., Albinet, C., Baker, T., Bartholomeus, H., Bastin, J.F., Coomes, D., Crowther, T., Davies, S., de Bruin, S., De Kauwe, M., Domke, G., Dubayah, R., Falkowski, M., Fatoyinbo, L., Goetz, S., Jantz, P., Jonckheere, I., Jucker, T., Kay, H., Kellner, J., Labriere, N., Lucas, R., Mitchard, E., Morsdorf, F., Naesset, E., Park, T., Phillips, O.L., Ploton, P., Puliti, S., Quegan, S., Saatchi, S., Schaaf, C., Schepaschenko, D., Scipal, K., Stovall, A., Thiel, C., Wulder, M.A., Camacho, F., Nickeson, J., Román, M., Margolis, H. (2021). Aboveground Woody Biomass Product Validation Good Practices Protocol. Version 1.0. In L. Duncanson, M. Disney, J. Armston, J. Nickeson, D. Minor, and F. Camacho (Eds.), Good Practices for Satellite Derived Land Product Validation, (p. 236): Land Product Validation Subgroup (WGCV/CEOS), doi:10.5067/doc/ceoswgcv/lpv/agb.001.
Conference proceedings
Kato, T., F. Maignan, N. MacBean, P. Peylin, N. Vuichard, Y. Goulas, F. Daumard, I. Moya, A. Porcar-Castell and C. Nicol (2014) Relationship of the model-simulated productivity with the in-situ fluorescence measurements at two flux sites, 5th International Workshop on Remote Sensing of Fluorescence. Paris, France.
MacBean, N., M. Disney, J. Gomez-Dans, P. Lewis and P. Ineson (2010) Using satellite measurements of surface soil moisture to improve estimates of CO2 and CH4 from peatlands, European Space Agency Living Planet Symposium. Bergen, Norway.
The MacBean Lab 