Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30132
Appears in Collections:Biological and Environmental Sciences Letters (Published in a Journal)
Peer Review Status: Refereed
Title: Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon
Author(s): Marselis, Suzanne Mariëlle
Tang, Hao
Armston, John
Abernethy, K A
Alonso, Alfonso
Barbier, Nicolas
Bissiengou, Pulchérie
Jeffery, K J
Kenfack, David
Labrière, Nicolas
Lee, Seung Kuk
Lewis, Simon L
Memiaghe, Hervé
Poulsen, John R
White, Lee
Dubayah, Ralph
Contact Email: k.a.abernethy@stir.ac.uk
Keywords: Renewable Energy, Sustainability and the Environment
Public Health, Environmental and Occupational Health
General Environmental Science
biodiversity
radar
lidar
LVIS
ICESat
GEDI
TanDEM-X
Issue Date: 9-Sep-2019
Citation: Marselis SM, Tang H, Armston J, Abernethy KA, Alonso A, Barbier N, Bissiengou P, Jeffery KJ, Kenfack D, Labrière N, Lee SK, Lewis SL, Memiaghe H, Poulsen JR, White L & Dubayah R (2019) Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon. Environmental Research Letters, 14 (9), Art. No.: 094013. https://doi.org/10.1088/1748-9326/ab2dcd
Abstract: Mapping tree species diversity is increasingly important in the face of environmental change and biodiversity conservation. We explore a potential way of mapping this diversity by relating forest structure to tree species diversity in Gabon. First, we test the relation between canopy height, as a proxy for niche volume, and tree species diversity. Then, we test the relation between vertical canopy structure, as a proxy for vertical niche occupation, and tree species diversity. We use large footprint full-waveform airborne lidar data collected across four study sites in Gabon (Lopé, Mabounié, Mondah, and Rabi) in combination with in situ estimates of species richness (S) and Shannon diversity (H′). Linear models using canopy height explained 44% and 43% of the variation in S and H′ at the 0.25 ha resolution. Linear models using canopy height and the plant area volume density profile explained 71% of this variation. We demonstrate applications of these models by mapping S and H′ in Mondah using a simulated GEDI-TanDEM-X fusion height product, across the four sites using wall-to-wall airborne lidar data products, and across and between the study sites using ICESat lidar waveforms. The modeling results are encouraging in the context of developing pan-tropical structure diversity models applicable to data from current and upcoming spaceborne remote sensing missions.
DOI Link: 10.1088/1748-9326/ab2dcd
Rights: Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence https://creativecommons.org/licenses/by/3.0/. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Licence URL(s): http://creativecommons.org/licenses/by/3.0/



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