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T1  - Multispectral canopy reflectance improves spatial distribution models of Amazonian understory species 
SN  -  /  
UR  - http://hdl.handle.net/10138/315741 
T3  -  
A1  - doninck, Jasper Van; Jones, Mirkka M.; Zuquim, Gabriela; Ruokolainen, Kalle; Moulatlet, Gabriel M.; Sirén, Anders; Cárdenas, Glenda; Lehtonen, Samuli; Tuomisto, Hanna 
A2  -  
PB  -  
Y1  - 2020 
LA  - eng 
AB  - Species distribution models are required for the research and management of biodiversity in the hyperdiverse tropical forests, but reliable and ecologically relevant digital environmental data layers are not always available. We here assess the usefulness of multispectral canopy reflectance (Landsat) relative to climate data in modelling understory plant species distributions in tropical rainforests. We used a large dataset of quantitative fern and lycophyte species inventories across lowland Am... 
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KW  - Amazonia; CHELSA; ferns; Landsat; remote sensing; soils; species distribution modelling; 1171 Geosciences 
N1  -   
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ER  -