Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/85811
Title: The use of GEDI canopy structure for explaining variation in tree species richness in natural forests
Author(s): Marselis, Suzanne M.
Keil, Petr
Chase, Jonathan M.
Dubayah, Ralph
Issue Date: 2022
Type: Article
Language: English
Abstract: Variables describing the abiotic environment (e.g. climate, topography or biogeographic history) have a long tradition of use as predictors of tree species richness patterns. However, these variables may capture variations in richness related to climate, but not those that are related to soil type or forest disturbance. Canopy structure has previously been shown to provide information on the variation of tree species richness, with richness generally increasing with larger canopy heights and denser foliage. The use of canopy structure is increasingly relevant with the availability of such data from the Global Ecosystem Dynamics Investigation (GEDI), a lidar mission onboard the International Space Station. In this analysis we show that GEDI canopy structure explains up to 66% of the variation in tree species richness in natural forests without a history of recent disturbance across the globe. However, this portion overlaps with the variation (up to 80%) explained by environmental and biogeographical variables. Our results show that relationships between tree species richness on one side and climate and canopy structure on the other side are not as straightforward as we initially expected, and should be further investigated across both natural and disturbed forests.
URI: https://opendata.uni-halle.de//handle/1981185920/87763
http://dx.doi.org/10.25673/85811
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Sponsor/Funder: Publikationsfonds MLU
Journal Title: Environmental research letters
Publisher: IOP Publ.
Publisher Place: Bristol
Volume: 17
Issue: 4
Original Publication: 10.1088/1748-9326/ac583f
Appears in Collections:Open Access Publikationen der MLU

Files in This Item:
File Description SizeFormat 
Marselis_2022_Environ._Res._Lett._17_045003.pdf2.83 MBAdobe PDFThumbnail
View/Open