Our aim was to evaluate the extent to which we can predict and map tree alpha diversity across broad spatial scales either by using climate and remote sensing data or by exploiting spatial autocorrelation patterns in tropical rain forest, West Africa and Atlantic Central Africa.

Authors: Parmentier, I.; Harrigan, R.J.; Buermann, W.; Mitchard, E.T.A.; Saatchi, S.; Malhi, Y.; Bongers, F.; Hawthorne, W.D.; Leal, M.E.; Lewis, S.L.; Nusbaumer, L.; Sheil, D.; Sosef, M.S.M.; Affum-Baffoe, K.; Bakayoko, A.; Chuyong, G.B.; Chatelain, C.; Comiskey, J.A.; Dauby, G.; Doucet, J.L.; Fauset, S.; Gautier, L.; Gillet, J.F.; Kenfack, D.; Kouame, F.N.; Kouassi, E.K.; Kouka, L.A.; Parren, M.P.E.; Peh, K.S.H.; Reitsma, J.M.; Senterre, B.; Sonke, B.; Sunderland, T.C.H.; Swaine, M.D.; Tchouto, M.G.P.; Thomas, D.; van Valkenburg, J.L.C.H.; Hardy, O.J.

Subjects: rain forests, biodiversity, climate change, Modelling, diversity, spatial analysis, spatial distribution

Publication type: ISI, Journal Article, Publication

Year: 2011

ISSN: 0305-0270

DOI: https://doi.org/10.1111/j.1365-2699.2010.02467.x