Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31341
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Evaluating the Potential of Full-waveform Lidar for Mapping Pan-Tropical Tree Species Richness
Author(s): Marselis, Suzanne M
Abernethy, Katharine
Alonso, Alfonso
Armston, John
Baker, Timothy
Bastin, Jean-Francois
Bogaert, Jan
Boyd, Doreen
Boeckx, Pascal
Burslem, David
Chazdon, Robin
Clark, David
Coomes, David
Duncanson, Laura
Hancock, Steve
Contact Email: k.a.abernethy@stir.ac.uk
Keywords: Biodiversity
canopy structure
GEDI
lidar
plant area index
tropical forests
Issue Date: Oct-2020
Citation: Marselis SM, Abernethy K, Alonso A, Armston J, Baker T, Bastin J, Bogaert J, Boyd D, Boeckx P, Burslem D, Chazdon R, Clark D, Coomes D, Duncanson L & Hancock S (2020) Evaluating the Potential of Full-waveform Lidar for Mapping Pan-Tropical Tree Species Richness. Global Ecology and Biogeography, 29 (10), pp. 1799-1816. https://doi.org/10.1111/geb.13158
Abstract: Aim: Mapping tree species richness across the tropics is of great interest for effective conservation and biodiversity management. In this study, we evaluated the potential of full-waveform lidar data for mapping tree species richness across the tropics by relating measurements of vertical canopy structure, as a proxy for the occupation of vertical niche space, to tree species richness. Location: Tropics Time period: Present Major taxa studied: Trees Methods: First, we evaluated the characteristics of vertical canopy structure across 15 study sites using (simulated) large-footprint full-waveform lidar data (22 m diameter) and related these findings to in-situ tree species information. Then, we developed structure-richness models at the local (within 25-50 ha plots), regional (biogeographic regions), and pan-tropical scale at three spatial resolutions (1.0, 0.25 and 0.0625 ha) using Poisson regression. Results: The results showed a weak structure-richness relationship at the local scale. At the regional scale (within a biogeographical region) a stronger relationship between canopy structure and tree species richness across different tropical forest types was found, for example across Central Africa and in South America (R2 ranging from 0.44-0.56, RMSD ranging between 23-61%). Modelling the relationship pan-tropically, across four continents, 39% of the variation in tree species richness could be explained with canopy structure alone (R2 = 0.39 and RMSD = 43%, 0.25 ha resolution). Main Conclusions: Our results may serve as a basis for the future development of a set of structure-richness models to map high resolution tree species richness using vertical canopy structure information from the Global Ecosystem Dynamics Investigation (GEDI). The value of this effort would be enhanced by access to a larger set of field reference data for all tropical regions. Future research could also support the use of GEDI data in frameworks using environmental and spectral information for modelling tree species richness across the tropics.
DOI Link: 10.1111/geb.13158
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is the peer reviewed version of the following article: Marselis, SM, Abernethy, K, Alonso, A, et al. Evaluating the potential of fullwaveform lidar for mapping pan-tropical tree species richness. Global Ecol Biogeogr. 2020; 29: 1799-1816, which has been published in final form at https://doi.org/10.1111/geb.13158. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for self-archiving.
Notes: Additional co-authors: Ross Hill , Chris Hopkinson , Elizabeth Kearsley, Jim Kellner , David Kenfack , Nicolas Labrière , Simon Lewis , David Minor, Herve Memiaghe , Abel Monteagudo , Reuben Nilus , Michael O'Brien , Oliver Phillips, John Poulsen , Hao Tang, Hans Verbeek, Ralph Dubayah
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