Data by Schneider et al. (2023) Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale

Name: Data by Schneider et al. (2023) Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale
Creator: Schaepman, Michael E.; Morsdorf, Felix; Scholl, Victoria M.; Schmid, Bernhard; Pavlick, Ryan P.; Moorcroft, Paul R.; Schimel, David S.; Paul-Limoges, Eugénie; Schneider, Fabian D.; Longo, Marcos
Published: 2023-04-26 00:00:00
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Figshare2023-04-26 更新2026-04-08 收录

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https://figshare.com/articles/dataset/Data_by_Schneider_et_al_2023_Remote_sensing-based_forest_modeling_reveals_positive_effects_of_functional_diversity_on_productivity_at_local_spatial_scale/22705024/1

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资源简介：

Datasets from the scientific article by Schneider, et al. (2023). Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale. <br> Please cite: Schneider, F. D., Longo, M., Paul-Limoges, E., Scholl, V. M., Schmid, B., Morsdorf, F., Pavlick, R. P., Schimel, D. S., Schaepman, M. E. & Moorcroft, P. R. (2023). Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale. <em>JGR Biogeosciences.</em>

提供机构：

Schaepman, Michael E.; Morsdorf, Felix; Scholl, Victoria M.; Schmid, Bernhard; Pavlick, Ryan P.; Moorcroft, Paul R.; Schimel, David S.; Paul-Limoges, Eugénie; Schneider, Fabian D.; Longo, Marcos

创建时间：

2023-04-26