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Journal Article

Understanding disturbance regimes from patterns in modeled forest biomass

MPS-Authors
/persons/resource/persons277732

Wang,  Siyuan
IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society;
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Yang,  Hui
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons134634

Koirala,  Sujan
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Reichstein,  Markus       
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62352

Carvalhais,  Nuno
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource

https://doi.org/10.1029/2023MS004099
(Publisher version)

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Fulltext (public)

BGC4589.pdf
(Publisher version), 5MB

Supplementary Material (public)

BGC4589s1.pdf
(Supplementary material), 216KB

Citation

Wang, S., Yang, H., Koirala, S., Forkel, M., Reichstein, M., & Carvalhais, N. (2024). Understanding disturbance regimes from patterns in modeled forest biomass. Journal of Advances in Modeling Earth Systems, 16(6): e2023MS004099. doi:10.1029/2023MS004099.


Cite as: https://hdl.handle.net/21.11116/0000-000F-75E5-B
Abstract
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