@article{fdi:010073159,
  title = {{P}redicting tropical tree species richness from normalized difference vegetation index time series : the devil is perhaps not in the detail},
  author = {{P}outeau, {R}obin and {G}illespie, {T}. {W}. and {B}irnbaum, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he normalized difference vegetation index ({NDVI}) derived from remote sensing is a common explanatory variable inputted in correlative biodiversity models in the form of descriptive statistics summarizing complex time series. {H}ere, we hypothesized that a single meaningful remotely-sensed scene can provide better prediction of species richness than any usual multi-scene statistics. {W}e tested this idea using a 15-year time series of six-day composite {MODIS} {NDVI} data combined with field measurements of tree species richness in the tropical biodiversity hotspot of {N}ew {C}aledonia. {A}lthough some overall, seasonal, annual and monthly statistics appeared to successfully correlate with tree species richness in {N}ew {C}aledonia, a range of individual scenes were found to provide significantly better predictions of both the overall tree species richness (|r| = 0.68) and the richness of large trees (|r| = 0.91). {A} preliminary screening of the {NDVI}-species richness relationship within each time step can therefore be an effective and straightforward way to maximize the accuracy of {NDVI}-based correlative biodiversity models.},
  keywords = {biodiversity hotspot ; multispectral remote sensing ; productivity ; species richness ; tropical forests ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {10},
  numero = {5},
  pages = {698 [15 ]},
  ISSN = {2072-4292},
  year = {2018},
  DOI = {10.3390/rs10050698},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073159},
}