Articles | Volume 13, issue 10
https://doi.org/10.5194/essd-13-4881-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-4881-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
26 Oct 2021
Data description paper |
| 26 Oct 2021
| 26 Oct 2021
Mapping global forest age from forest inventories, biomass and climate data
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, the Netherlands
Sujan Koirala
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Maurizio Santoro
Gamma Remote Sensing, Bern, Switzerland
Ulrich Weber
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Jacob Nelson
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Jonas Gütter
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Data Management and Analysis, Institute of Data Science, German Aerospace Center (DLR), Jena, Germany
Bruno Herault
Institut National Polytechnique Félix Houphouët-Boigny (INP-HB), Côte d'Ivoire
Research Unit Forests and Societies, CIRAD, University of Montpellier, Montpellier, France
Justin Kassi
Laboratoire de Botanique, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire
Anny N'Guessan
Laboratoire de Botanique, UFR Biosciences, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire
Christopher Neigh
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Benjamin Poulter
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Tao Zhang
Department of Biology, University of Florida, Gainesville, Florida, USA
Department of Forest Resources, University of Minnesota, Minneapolis, Minnesota, USA
Nuno Carvalhais
CORRESPONDING AUTHOR
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Departamento de Ciências e Engenharia do Ambiente (DCEA), Faculdade de Ciências e Tecnologia (FCT), Universidade Nova de Lisboa, Lisbon, Portugal
Data sets
The MPI-BGC global forest age dataset S. Besnard, S. Koirala, M. Santoro, U. Weber, J. Nelson, J. Gütter, B. Herault, J. Kassi, A. N'Guessan, C. Neigh, B. Poulter, T. Zhang, and N. Carvarhais https://doi.org/10.17871/ForestAgeBGI.2021
Short summary
Forest age can determine the capacity of a forest to uptake carbon from the atmosphere. Yet, a lack of global diagnostics that reflect the forest stage and associated disturbance regimes hampers the quantification of age-related differences in forest carbon dynamics. In this paper, we introduced a new global distribution of forest age inferred from forest inventory, remote sensing and climate data in support of a better understanding of the global dynamics in the forest water and carbon cycles.
Forest age can determine the capacity of a forest to uptake carbon from the atmosphere. Yet, a...
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