@article{fdi:010089768,
  title = {{E}stimation of the number of tree species in {F}rench {G}uiana by extrapolation of permanent plots richness},
  author = {{M}arcon, {E}. and {M}irabel, {A}. and {M}olino, {J}ean-{F}ran{\c{c}}ois and {S}abatier, {D}aniel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he biodiversity of tropical rainforest is difficult to assess. {Y}et, its estimation is necessary for conservation purposes, to evaluate our level of knowledge and the risks faced by the forest in relation to global change. {O}ur contribution is to estimate the regional richness of tree species from local but widely spread inventories. {W}e reviewed the methods available, which are nonparametric estimators based on abundance or occurrence data, log-series extrapolation and the universal species-area relationship based on maximum entropy. {A}ppropriate methods depend on the scale considered. {H}arte's self-similarity model is suitable at the regional scale, while the log-series extrapolation is not. {G}uya{D}iv is a network of forest plots installed over the whole territory of {F}rench {G}uiana, where trees over 10 cm {DBH} are identified. {W}e used its information (1315 species censused in 68 one-hectare plots) to estimate the exponent of the species-area relationship, assuming {A}rrhenius's power law. {W}e could then extrapolate the number of species from three local, wide inventories (over 2.5 km2). {W}e evaluated the number of tree species around 2200 over the territory.},
  keywords = {{B}iodiversity ; species richness ; tropical rainforest ; biodiversity ; estimation ; hyperdominance ; self-similarity ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{J}ournal of {T}ropical {E}cology},
  volume = {40},
  numero = {},
  pages = {e11 [10 p.]},
  ISSN = {0266-4674},
  year = {2024},
  DOI = {10.1017/s0266467424000099},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089768},
}