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Santoro, M., Cartus, O., Quegan, S., Kay, H., Lucas, R.M., Araza, A., Herold, M., Labrière, N., Chave, J., Rosenqvist, Å., Tadono, T., Kobayashi, K., Kellndorfer, J., Avitabile, V., Brown, H., Carreiras, J., Campbell, M.J., Cavlovic, J., Bispo, P.d.C., Gilani, H. et al. (2024). Design and performance of the Climate Change Initiative Biomass global retrieval algorithm. Science of Remote Sensing 10, e100169. 10.1016/j.srs.2024.100169.

Kim, H., Peterson, G., Cheung, W., Ferrier, S., Alkemade, R., Arneth, A., Kuiper, J., Okayasu, S., Pereira, L., Acosta, L., Chaplin-Kramer, R., den Belder, E., Eddy, T., Johnson, J., Karlsson-Vinkhuyzen, S., Kok, M., Leadley, P., Leclere, D. ORCID: https://orcid.org/0000-0002-8658-1509, Lundquist, C., Rondinini, C. et al. (2023). Towards a better future for biodiversity and people: Modelling Nature Futures. Global Environmental Change 82, e102681. 10.1016/j.gloenvcha.2023.102681.

Willcock, S., Hooftman, D., Neugarten, R., Chaplin-Kramer, R., Barredo, J., Hickler, T., Kindermann, G. ORCID: https://orcid.org/0000-0003-4297-1318, Lewis, A., Lindeskog, M., Martínez-López, J. & Bullock, J. (2023). Model ensembles of ecosystem services fill global certainty and capacity gaps. Science Advances 9 (14) 10.1126/sciadv.adf5492.

Araza, A., de Bruin, S., Herold, M., Quegan, S., Labriere, N., Rodriguez-Veiga, P., Avitabile, V., Santoro, M., Mitchard, E.T.A., Ryan, C.M., Phillips, O.L., Willcock, S., Verbeeck, H., Carreiras, J., Hein, L., Schelhaas, M.-J., Pacheco-Pascagaza, A.M., da Conceição Bispo, P., Laurin, G.V., Vieilledent, G. et al. (2022). A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps. Remote Sensing of Environment 272, e112917. 10.1016/j.rse.2022.112917.

Hooftman, D.A.P., Bullock, J.M., Jones, L., Eigenbrod, F., Barredo, J.I., Forrest, M., Kindermann, G. ORCID: https://orcid.org/0000-0003-4297-1318, Thomas, A. & Willcock, S. (2022). Reducing uncertainty in ecosystem service modelling through weighted ensembles. Ecosystem Services 53, e101398. 10.1016/j.ecoser.2021.101398.

Santoro, M., Cartus, O., Carvalhais, N., Rozendaal, D.M.A., Avitabile, V., Araza, A., de Bruin, S., Herold, M., Quegan, S., Rodríguez-Veiga, P., Balzter, H., Carreiras, J., Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Korets, M., Shimada, M., Itoh, T., Moreno Martínez, Á., Cavlovic, J., Cazzolla Gatti, R., da Conceição Bispo, P. et al. (2021). The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations. Earth System Science Data 13 (8), 3927-3950. 10.5194/essd-13-3927-2021.

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Kim, H., Peterson, G., Cheung, W., Ferrier, S., Alkemade, R., Arneth, A., Kuiper, J., Okayasu, S., Pereira, L., Acosta, L., Chaplin-Kramer, R, den Belder, E., Eddy, T., Johnson, J., Karlsson-Vinkhuysen, S., Kok, M., Leadley, P., Leclere, D. ORCID: https://orcid.org/0000-0002-8658-1509, Lundquist, C., Rondinini, C. et al. (2021). Towards a better future for biodiversity and people: modelling Nature Futures. Utrecht University 10.31235/osf.io/93sqp. (Submitted)