Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Volume 12, issue 23
Biogeosciences, 12, 7185-7208, 2015
https://doi.org/10.5194/bg-12-7185-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 12, 7185-7208, 2015
https://doi.org/10.5194/bg-12-7185-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 10 Dec 2015

Research article | 10 Dec 2015

Using satellite data to improve the leaf phenology of a global terrestrial biosphere model

N. MacBean et al.
Related authors  
Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1.9.5.2)
Vladislav Bastrikov, Natasha MacBean, Cédric Bacour, Diego Santaren, Sylvain Kuppel, and Philippe Peylin
Geosci. Model Dev., 11, 4739-4754, https://doi.org/10.5194/gmd-11-4739-2018,https://doi.org/10.5194/gmd-11-4739-2018, 2018
Short summary
Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015)
Wei Li, Natasha MacBean, Philippe Ciais, Pierre Defourny, Céline Lamarche, Sophie Bontemps, Richard A. Houghton, and Shushi Peng
Earth Syst. Sci. Data, 10, 219-234, https://doi.org/10.5194/essd-10-219-2018,https://doi.org/10.5194/essd-10-219-2018, 2018
Short summary
Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests
Francesc Montané, Andrew M. Fox, Avelino F. Arellano, Natasha MacBean, M. Ross Alexander, Alex Dye, Daniel A. Bishop, Valerie Trouet, Flurin Babst, Amy E. Hessl, Neil Pederson, Peter D. Blanken, Gil Bohrer, Christopher M. Gough, Marcy E. Litvak, Kimberly A. Novick, Richard P. Phillips, Jeffrey D. Wood, and David J. P. Moore
Geosci. Model Dev., 10, 3499-3517, https://doi.org/10.5194/gmd-10-3499-2017,https://doi.org/10.5194/gmd-10-3499-2017, 2017
Short summary
Consistent assimilation of multiple data streams in a carbon cycle data assimilation system
Natasha MacBean, Philippe Peylin, Frédéric Chevallier, Marko Scholze, and Gregor Schürmann
Geosci. Model Dev., 9, 3569-3588, https://doi.org/10.5194/gmd-9-3569-2016,https://doi.org/10.5194/gmd-9-3569-2016, 2016
Short summary
Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative
B. Poulter, 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
Geosci. Model Dev., 8, 2315-2328, https://doi.org/10.5194/gmd-8-2315-2015,https://doi.org/10.5194/gmd-8-2315-2015, 2015
Short summary
Related subject area  
Biogeochemistry: Modelling, Terrestrial
Evaluating the simulated mean soil carbon transit times by Earth system models using observations
Jing Wang, Jianyang Xia, Xuhui Zhou, Kun Huang, Jian Zhou, Yuanyuan Huang, Lifen Jiang, Xia Xu, Junyi Liang, Ying-Ping Wang, Xiaoli Cheng, and Yiqi Luo
Biogeosciences, 16, 917-926, https://doi.org/10.5194/bg-16-917-2019,https://doi.org/10.5194/bg-16-917-2019, 2019
Short summary
Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
Jianqiu Zheng, Peter E. Thornton, Scott L. Painter, Baohua Gu, Stan D. Wullschleger, and David E. Graham
Biogeosciences, 16, 663-680, https://doi.org/10.5194/bg-16-663-2019,https://doi.org/10.5194/bg-16-663-2019, 2019
Short summary
Neglecting plant–microbe symbioses leads to underestimation of modeled climate impacts
Mingjie Shi, Joshua B. Fisher, Richard P. Phillips, and Edward R. Brzostek
Biogeosciences, 16, 457-465, https://doi.org/10.5194/bg-16-457-2019,https://doi.org/10.5194/bg-16-457-2019, 2019
Short summary
A simple time-stepping scheme to simulate leaf area index, phenology, and gross primary production across deciduous broadleaf forests in the eastern United States
Qinchuan Xin, Yongjiu Dai, and Xiaoping Liu
Biogeosciences, 16, 467-484, https://doi.org/10.5194/bg-16-467-2019,https://doi.org/10.5194/bg-16-467-2019, 2019
Short summary
Quantifying global N2O emissions from natural ecosystem soils using trait-based biogeochemistry models
Tong Yu and Qianlai Zhuang
Biogeosciences, 16, 207-222, https://doi.org/10.5194/bg-16-207-2019,https://doi.org/10.5194/bg-16-207-2019, 2019
Cited articles  
Anyamba, A. and Tucker, C. J.: Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003, J. Arid Environ., 63, 596–614, https://doi.org/10.1016/j.jaridenv.2005.03.007, 2005.
Archibald, S. and Scholes, R. J.: Leaf green-up in a semi-arid African savanna–separating tree and grass responses to environmental cues, J. Veg. Sci., 18, 583–594, https://doi.org/10.1111/j.1654-1103.2007.tb02572.x, 2007.
Arora, V. K. and Boer, G. J.: A parameterization of leaf phenology for the terrestrial ecosystem component of climate models, Glob. Change Biol., 11, 39–59, https://doi.org/10.1111/j.1365-2486.2004.00890.x, 2005.
Bacour, C., Peylin, P., MacBean, N., Rayner, P. J., Delage, F., Chevallier, F., Weiss, M., Demarty, J., Santaren, D., Baret, F., Berveiller, D., Dufrêne, E., and Prunet, P.: Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process-oriented biosphere model, J. Geophys. Res.-Biogeo., 120, 1839–1857, https://doi.org/10.1002/2015JG002966, 2015.
Badeck, F. W., Bondeau, A., Böttcher, K., Doktor, D., Lucht, W., Schaber, J., and Sitch, S.: Responses of spring phenology to climate change, New Phytol., 162, 295–309, https://doi.org/10.1111/j.1469-8137.2004.01059.x, 2004.
Publications Copernicus
Download
Short summary
Previous model evaluation studies have shown that terrestrial biosphere models (TBMs) need a better representation of the leaf phenology, but the model deficiency could be related to incorrect model parameters or inaccurate model structure. This paper presents a framework for optimising the parameters of phenology models that are commonly used in TBMs. It further demonstrates that the optimisation can result in changes to trends in vegetation productivity and an improvement in gross C fluxes.
Previous model evaluation studies have shown that terrestrial biosphere models (TBMs) need a...
Citation