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.
DOI:
https://doi.org/10.1111/j.1365-2699.2010.02467.xAltmetric score:
Dimensions Citation Count:
Publication year
2011
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.
Language
English
Keywords
rain forests, biodiversity, climate change, Modelling, diversity, spatial analysis, spatial distribution
