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

Autor: Duncan W. Thomas, Gilles Dauby, Edouard K. Kouassi, Ryan J. Harrigan, François N’Guessan Kouamé, Douglas Sheil, Lazare A. Kouka, Wolfgang Buermann, Terry Sunderland, Marc P. E. Parren, Frans Bongers, James A. Comiskey, Jan Reitsma, Jean-François Gillet, Simon L. Lewis, Mbatchou G. P. Tchouto, Mike D. Swaine, Bonaventure Sonké, David Kenfack, George B. Chuyong, Ingrid Parmentier, Kelvin S.-H. Peh, Olivier J. Hardy, Sophie Fauset, Cyrille Chatelain, Miguel E. Leal, Adama Bakayoko, Sassan Saatchi, Kofi Affum-Baffoe, Jean-Louis Doucet, Laurent Gautier, William D. Hawthorne, Edward T. A. Mitchard, Marc S.M. Sosef, Bruno Senterre, Louis Nusbaumer, Johan van Valkenburg, Yadvinder Malhi
Rok vydání: 2011
Předmět:
Zdroj: Journal of Biogeography. 38:1164-1176
ISSN: 0305-0270
Popis: 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.
Databáze: OpenAIRE