Articles | Volume 11, issue 23
Research article
08 Dec 2014
Research article |  | 08 Dec 2014

Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks

M. Réjou-Méchain, H. C. Muller-Landau, M. Detto, S. C. Thomas, T. Le Toan, S. S. Saatchi, J. S. Barreto-Silva, N. A. Bourg, S. Bunyavejchewin, N. Butt, W. Y. Brockelman, M. Cao, D. Cárdenas, J.-M. Chiang, G. B. Chuyong, K. Clay, R. Condit, H. S. Dattaraja, S. J. Davies, A. Duque, S. Esufali, C. Ewango, R. H. S. Fernando, C. D. Fletcher, I. A. U. N. Gunatilleke, Z. Hao, K. E. Harms, T. B. Hart, B. Hérault, R. W. Howe, S. P. Hubbell, D. J. Johnson, D. Kenfack, A. J. Larson, L. Lin, Y. Lin, J. A. Lutz, J.-R. Makana, Y. Malhi, T. R. Marthews, R. W. McEwan, S. M. McMahon, W. J. McShea, R. Muscarella, A. Nathalang, N. S. M. Noor, C. J. Nytch, A. A. Oliveira, R. P. Phillips, N. Pongpattananurak, R. Punchi-Manage, R. Salim, J. Schurman, R. Sukumar, H. S. Suresh, U. Suwanvecho, D. W. Thomas, J. Thompson, M. Uríarte, R. Valencia, A. Vicentini, A. T. Wolf, S. Yap, Z. Yuan, C. E. Zartman, J. K. Zimmerman, and J. Chave

Related authors

Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries
Pierre Ploton, Nicolas Barbier, Stéphane Takoudjou Momo, Maxime Réjou-Méchain, Faustin Boyemba Bosela, Georges Chuyong, Gilles Dauby, Vincent Droissart, Adeline Fayolle, Rosa Calisto Goodman, Matieu Henry, Narcisse Guy Kamdem, John Katembo Mukirania, David Kenfack, Moses Libalah, Alfred Ngomanda, Vivien Rossi, Bonaventure Sonké, Nicolas Texier, Duncan Thomas, Donatien Zebaze, Pierre Couteron, Uta Berger, and Raphaël Pélissier
Biogeosciences, 13, 1571–1585,,, 2016
Short summary

Related subject area

Biodiversity and Ecosystem Function: Terrestrial
Microclimate mapping using novel radiative transfer modelling
Florian Zellweger, Eric Sulmoni, Johanna T. Malle, Andri Baltensweiler, Tobias Jonas, Niklaus E. Zimmermann, Christian Ginzler, Dirk Nikolaus Karger, Pieter De Frenne, David Frey, and Clare Webster
Biogeosciences, 21, 605–623,,, 2024
Short summary
Root distributions predict shrub–steppe responses to precipitation intensity
Andrew Kulmatiski, Martin C. Holdrege, Cristina Chirvasă, and Karen H. Beard
Biogeosciences, 21, 131–143,,, 2024
Short summary
Thermophilisation of Afromontane forest stands demonstrated in an elevation gradient experiment
Bonaventure Ntirugulirwa, Etienne Zibera, Nkuba Epaphrodite, Aloysie Manishimwe, Donat Nsabimana, Johan Uddling, and Göran Wallin
Biogeosciences, 20, 5125–5149,,, 2023
Short summary
Above-treeline ecosystems facing drought: lessons from the 2022 European summer heat wave
Philippe Choler
Biogeosciences, 20, 4259–4272,,, 2023
Short summary
Drivers of ecosystem water use efficiency in a temperate rainforest and a peatland in southern South America
Jorge F. Perez-Quezada, David Trejo, Javier Lopatin, David Aguilera, Bruce Osborne, Mauricio Galleguillos, Luca Zattera, Juan L. Celis-Diez, and Juan J. Armesto
EGUsphere,,, 2023
Short summary

Cited articles

Agrawal, A., Nepstad, D., and Chhatre, A.: Reducing emissions from deforestation and forest degradation, Annu. Rev. Env. Resour., 36, 373–396, 2011.
Asner, G. P., Powell, G. V. N., Mascaro, J., Knapp, D. E., Clark, J. K., Jacobson, J., Kennedy-Bowdoin, T., Balaji, A., Paez-Acosta, G., Victoria, E., Secada, L., Valqui, M., and Hughes, R. F.: High-resolution forest carbon stocks and emissions in the Amazon, P. Natl. Acad. Sci., 107, 16738–16742,, 2010.
Asner, G. P., Mascaro, J., Anderson, C., Knapp, D. E., Martin, R. E., Kennedy-Bowdoin, T., Breugel, M. van, Davies, S., Hall, J. S., Muller-Landau, H. C., Potvin, C., Sousa, W., Wright, J., and Bermingham, E.: High-fidelity national carbon mapping for resource management and REDD+, Carbon Balance and Management, 8, 1–14,, 2013.
Baccini, A. and Asner, G. P.: Improving pantropical forest carbon maps with airborne LiDAR sampling, Carbon Management, 4, 591–600, 2013.
Baccini, A., Friedl, M. A., Woodcock, C. E., and Zhu, Z.: Scaling field data to calibrate and validate moderate spatial resolution remote sensing models, Photogramm. Eng. Rem. S., 73, 945–954, 2007.
Short summary
Forest carbon mapping may greatly reduce uncertainties in the global carbon budget. Accuracy of such maps depends however on the quality of field measurements. Using 30 large forest plots, we found large local spatial variability in biomass. When field calibration plots are smaller than the remote sensing pixels, this high local spatial variability results in an underestimation of the variance in biomass.
Final-revised paper