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Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness

(2020) GLOBAL ECOLOGY AND BIOGEOGRAPHY. 29(10). p.1799-1816
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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 (biogeographical 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 [R(2)ranging from .44-.56, root mean squared difference as a percentage of the mean (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 (R-2 = .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.
Keywords
cavelab, biodiversity, canopy structure, GEDI, lidar, plant area index, tropical forests, GLOBAL PATTERNS, FOREST BIOMASS, CANOPY HEIGHT, BIODIVERSITY, DIVERSITY, PLOT, TOPOGRAPHY

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MLA
Marselis, Suzanne M., et al. “Evaluating the Potential of Full‐waveform Lidar for Mapping Pan‐tropical Tree Species Richness.” GLOBAL ECOLOGY AND BIOGEOGRAPHY, vol. 29, no. 10, 2020, pp. 1799–816, doi:10.1111/geb.13158.
APA
Marselis, S. M., Abernethy, K., Alonso, A., Armston, J., Baker, T. R., Bastin, J.-F., … Dubayah, R. (2020). Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness. GLOBAL ECOLOGY AND BIOGEOGRAPHY, 29(10), 1799–1816. https://doi.org/10.1111/geb.13158
Chicago author-date
Marselis, Suzanne M., Katharine Abernethy, Alfonso Alonso, John Armston, Timothy R. Baker, Jean-Francois Bastin, Jan Bogaert, et al. 2020. “Evaluating the Potential of Full‐waveform Lidar for Mapping Pan‐tropical Tree Species Richness.” GLOBAL ECOLOGY AND BIOGEOGRAPHY 29 (10): 1799–1816. https://doi.org/10.1111/geb.13158.
Chicago author-date (all authors)
Marselis, Suzanne M., Katharine Abernethy, Alfonso Alonso, John Armston, Timothy R. Baker, Jean-Francois Bastin, Jan Bogaert, Doreen S. Boyd, Pascal Boeckx, David F. R. P. Burslem, Robin Chazdon, David B. Clark, David Coomes, Laura Duncanson, Steven Hancock, Ross Hill, Chris Hopkinson, Elizabeth Kearsley, James R. Kellner, David Kenfack, Nicolas Labrière, Simon L. Lewis, David Minor, Hervé Memiaghe, Abel Monteagudo, Reuben Nilus, Michael O’Brien, Oliver L. Phillips, John Poulsen, Hao Tang, Hans Verbeeck, and Ralph Dubayah. 2020. “Evaluating the Potential of Full‐waveform Lidar for Mapping Pan‐tropical Tree Species Richness.” GLOBAL ECOLOGY AND BIOGEOGRAPHY 29 (10): 1799–1816. doi:10.1111/geb.13158.
Vancouver
1.
Marselis SM, Abernethy K, Alonso A, Armston J, Baker TR, Bastin J-F, et al. Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness. GLOBAL ECOLOGY AND BIOGEOGRAPHY. 2020;29(10):1799–816.
IEEE
[1]
S. M. Marselis et al., “Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness,” GLOBAL ECOLOGY AND BIOGEOGRAPHY, vol. 29, no. 10, pp. 1799–1816, 2020.
@article{8754264,
  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 (biogeographical 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 [R(2)ranging from .44-.56, root mean squared difference as a percentage of the mean (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 (R-2 = .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.}},
  author       = {{Marselis, Suzanne M. and Abernethy, Katharine and Alonso, Alfonso and Armston, John and Baker, Timothy R. and Bastin, Jean-Francois and Bogaert, Jan and Boyd, Doreen S. and Boeckx, Pascal and Burslem, David F. R. P. and Chazdon, Robin and Clark, David B. and Coomes, David and Duncanson, Laura and Hancock, Steven and Hill, Ross and Hopkinson, Chris and Kearsley, Elizabeth and Kellner, James R. and Kenfack, David and Labrière, Nicolas and Lewis, Simon L. and Minor, David and Memiaghe, Hervé and Monteagudo, Abel and Nilus, Reuben and O'Brien, Michael and Phillips, Oliver L. and Poulsen, John and Tang, Hao and Verbeeck, Hans and Dubayah, Ralph}},
  issn         = {{1466-822X}},
  journal      = {{GLOBAL ECOLOGY AND BIOGEOGRAPHY}},
  keywords     = {{cavelab,biodiversity,canopy structure,GEDI,lidar,plant area index,tropical forests,GLOBAL PATTERNS,FOREST BIOMASS,CANOPY HEIGHT,BIODIVERSITY,DIVERSITY,PLOT,TOPOGRAPHY}},
  language     = {{eng}},
  number       = {{10}},
  pages        = {{1799--1816}},
  title        = {{Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness}},
  url          = {{http://doi.org/10.1111/geb.13158}},
  volume       = {{29}},
  year         = {{2020}},
}

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