Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model

<p>Aim: 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.</p><p>Location: Tropical rain forest, West Africa and Atlan...

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Bibliographic Details
Main Authors:	Parmentier, I, Harrigan, R, Buermann, W, Mitchard, E, Saatchi, S, Malhi, Y, Bongers, F, Hawthorne, W, Leal, M, Lewis, S, Nusbaumer, L, Sheil, D, Sosef, M, Affum-Baffoe, K, Bakayoko, A, Chuyong, G, Chatelain, C, Comiskey, J, Dauby, G, Doucet, J, Fauset, S, Gautier, L, Gillet, J, Kenfack, D, Kouamé, F
Format:	Journal article
Language:	English
Published:	Wiley-Blackwell 2011
Subjects:	Biology Biodiversity Evolution,ecology and systematics Environment Plant Sciences

Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model

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