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A universal airborne LiDAR approach for tropical forest carbon mapping

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dc.contributor.author Asner, Gregory P. en
dc.contributor.author Mascaro, Joseph en
dc.contributor.author Muller-Landau, Helene C. en
dc.contributor.author Vieilledent, Ghislain en
dc.contributor.author Vaudry, Romuald en
dc.contributor.author Rasamoelina, Maminiaina en
dc.contributor.author Hall, Jefferson S. en
dc.contributor.author van Breugel, Michiel en
dc.date.accessioned 2012-06-28T17:33:54Z
dc.date.available 2012-06-28T17:33:54Z
dc.date.issued 2012
dc.identifier.citation Asner, Gregory P., Mascaro, Joseph, Muller-Landau, Helene C., Vieilledent, Ghislain, Vaudry, Romuald, Rasamoelina, Maminiaina, Hall, Jefferson S., and van Breugel, Michiel. 2012. "<a href="https://repository.si.edu/handle/10088/18521">A universal airborne LiDAR approach for tropical forest carbon mapping</a>." <em>Oecologia</em>. 168 (4):1147&ndash;1160. <a href="https://doi.org/10.1007/s00442-011-2165-z">https://doi.org/10.1007/s00442-011-2165-z</a> en
dc.identifier.issn 0029-8549
dc.identifier.uri http://hdl.handle.net/10088/18521
dc.description.abstract Airborne light detection and ranging (LiDAR) is fast turning the corner from demonstration technology to a key tool for assessing carbon stocks in tropical forests. With its ability to penetrate tropical forest canopies and detect three-dimensional forest structure, LiDAR may prove to be a major component of international strategies to measure and account for carbon emissions from and uptake by tropical forests. To date, however, basic ecological information such as height-diameter allometry and stand-level wood density have not been mechanistically incorporated into methods for mapping forest carbon at regional and global scales. A better incorporation of these structural patterns in forests may reduce the considerable time needed to calibrate airborne data with ground-based forest inventory plots, which presently necessitate exhaustive measurements of tree diameters and heights, as well as tree identifications for wood density estimation. Here, we develop a new approach that can facilitate rapid LiDAR calibration with minimal field data. Throughout four tropical regions (Panama, Peru, Madagascar, and Hawaii), we were able to predict aboveground carbon density estimated in field inventory plots using a single universal LiDAR model (r (2) = 0.80, RMSE = 27.6 Mg C ha(-1)). This model is comparable in predictive power to locally calibrated models, but relies on limited inputs of basal area and wood density information for a given region, rather than on traditional plot inventories. With this approach, we propose to radically decrease the time required to calibrate airborne LiDAR data and thus increase the output of high-resolution carbon maps, supporting tropical forest conservation and climate mitigation policy. en
dc.relation.ispartof Oecologia en
dc.title A universal airborne LiDAR approach for tropical forest carbon mapping en
dc.type Journal Article en
dc.identifier.srbnumber 110645
dc.identifier.doi 10.1007/s00442-011-2165-z
rft.jtitle Oecologia
rft.volume 168
rft.issue 4
rft.spage 1147
rft.epage 1160
dc.description.SIUnit Peer-Reviewed en
dc.description.SIUnit STRI en
dc.citation.spage 1147
dc.citation.epage 1160

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