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Journal Article

A generalizable normalization for assessing plant functional diversity metrics across scales from remote sensing

MPS-Authors
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Pacheco-Labrador,  Javier
Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Migliavacca,  Mirco
Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, 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;

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Wirth,  Christian
Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society;

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BGC4283.pdf
(Publisher version), 12MB

Supplementary Material (public)

BGC4283s1.pdf
(Supplementary material), 2MB

Citation

Pacheco-Labrador, J., de Bello, F., Migliavacca, M., Ma, X., Carvalhais, N., & Wirth, C. (2023). A generalizable normalization for assessing plant functional diversity metrics across scales from remote sensing. Methods in Ecology and Evolution, 14(8), 2123-2136. doi:10.1111/2041-210X.14163.


Cite as: https://hdl.handle.net/21.11116/0000-000D-4C83-A
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