Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon

dc.contributor.authorMarselis, Suzanne Mariëlle
dc.contributor.authorTang, Hao
dc.contributor.authorArmston, John
dc.contributor.authorAbernethy, Katharine
dc.contributor.authorAlonso, Alfonso
dc.contributor.authorBarbier, Nicolas
dc.contributor.authorBissiengou, Pulchérie
dc.contributor.authorJeffery, Kathryn
dc.contributor.authorKenfack, David
dc.contributor.authorLabrière, Nicolas
dc.contributor.authorLee, Seung Kuk
dc.contributor.authorLewis, Simon
dc.contributor.authorMemiaghe, Hervé
dc.contributor.authorPoulsen, John R.
dc.contributor.authorWhite, Lee
dc.contributor.authorDubayah, Ralph
dc.date.accessioned2019-08-21T02:01:43Z
dc.date.available2019-08-21T02:01:43Z
dc.date.issued2019
dc.description.abstractMapping 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 (PAVD) 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.
dc.identifier1748-9326
dc.identifier.citationMarselis, Suzanne Mariëlle, Tang, Hao, Armston, John, Abernethy, Katharine, Alonso, Alfonso, Barbier, Nicolas, Bissiengou, Pulchérie, Jeffery, Kathryn, Kenfack, David, Labrière, Nicolas, Lee, Seung Kuk, Lewis, Simon, Memiaghe, Hervé, Poulsen, John R., White, Lee, and Dubayah, Ralph. 2019. "<a href="https://repository.si.edu/handle/10088/98599">Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon</a>." <em>Environmental Research Letters</em>, 14, (9). <a href="https://doi.org/10.1088/1748-9326/ab2dcd">https://doi.org/10.1088/1748-9326/ab2dcd</a>.
dc.identifier.issn1748-9326
dc.identifier.urihttps://hdl.handle.net/10088/98599
dc.publisherIOP Publishing
dc.relation.ispartofEnvironmental Research Letters 14 (9)
dc.titleExploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon
dc.typearticle
sro.description.unitNZP
sro.description.unitSTRI
sro.identifier.doi10.1088/1748-9326/ab2dcd
sro.identifier.itemID152059
sro.identifier.refworksID57563
sro.identifier.urlhttps://repository.si.edu/handle/10088/98599

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