@article{fdi:010076680,
  title = {{E}xploring the relation between remotely sensed vertical canopy structure and tree species diversity in {G}abon},
  author = {{M}arselis, {S}. {M}. and {T}ang, {H}. and {A}rmston, {J}. and {A}bernethy, {K}. and {A}lonso, {A}. and {B}arbier, {N}icolas and {B}issiengou, {P}. and {J}effery, {K}. and {K}enfack, {D}. and {L}abriere, {N}. and {L}ee, {S}. {K}. and {L}ewis, {S}. {L}. and {M}emiaghe, {H}. and {P}oulsen, {J}. {R}. and {W}hite, {L}. and {D}ubayah, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}apping tree species diversity is increasingly important in the face of environmental change and biodiversity conservation. {W}e explore a potential way of mapping this diversity by relating forest structure to tree species diversity in {G}abon. {F}irst, we test the relation between canopy height, as a proxy for niche volume, and tree species diversity. {T}hen, we test the relation between vertical canopy structure, as a proxy for vertical niche occupation, and tree species diversity. {W}e use large footprint full-waveform airborne lidar data collected across four study sites in {G}abon ({L}ope, {M}abounie, {M}ondah, and {R}abi) in combination with in situ estimates of species richness ({S}) and {S}hannon diversity ({H}'). {L}inear models using canopy height explained 44% and 43% of the variation in {S} and {H}' at the 0.25 ha resolution. {L}inear models using canopy height and the plant area volume density profile explained 71% of this variation. {W}e demonstrate applications of these models by mapping {S} and {H}' in {M}ondah using a simulated {GEDI}-{T}an{DEM}-{X} fusion height product, across the four sites using wallto-wall airborne lidar data products, and across and between the study sites using {ICES}at lidar waveforms. {T}he 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.},
  keywords = {biodiversity ; radar ; lidar ; {LVIS} ; {ICES}at ; {GEDI} ; {T}an{DEM}-{X} ; {GABON}},
  booktitle = {},
  journal = {{E}nvironmental {R}esearch {L}etters},
  volume = {14},
  numero = {9},
  pages = {art. 094013 [14 p.]},
  ISSN = {1748-9326},
  year = {2019},
  DOI = {10.1088/1748-9326/ab2dcd},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076680},
}