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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cg.coverage.regionAfrica
cg.identifier.urlhttps://www.cifor-icraf.org/knowledge/publication/3342en
cg.issn0305-0270en
cg.journalJournal of Biogeographyen
cg.subject.ciforBIODIVERSITYen
dc.contributor.authorParmentier, I.en
dc.contributor.authorHarrigan, R.J.en
dc.contributor.authorBuermann, W.en
dc.contributor.authorMitchard, E.T.A.en
dc.contributor.authorSaatchi, S.en
dc.contributor.authorMalhi, Y.en
dc.contributor.authorBongers, F.en
dc.contributor.authorHawthorne, W.D.en
dc.contributor.authorLeal, M.E.en
dc.contributor.authorLewis, S.L.en
dc.contributor.authorNusbaumer, L.en
dc.contributor.authorSheil, Douglasen
dc.contributor.authorSosef, M.S.M.en
dc.contributor.authorAffum-Baffoe, K.en
dc.contributor.authorBakayoko, A.en
dc.contributor.authorChuyong, G.B.en
dc.contributor.authorChatelain, C.en
dc.contributor.authorComiskey, J.A.en
dc.contributor.authorDauby, G.en
dc.contributor.authorDoucet, J.L.en
dc.contributor.authorFauset, S.en
dc.contributor.authorGautier, L.en
dc.contributor.authorGillet, J.F.en
dc.contributor.authorKenfack, D.en
dc.contributor.authorKouamé, F.N.en
dc.contributor.authorKouassi, E.K.en
dc.contributor.authorKouka, L.A.en
dc.contributor.authorParren, M.P.E.en
dc.contributor.authorPeh, K.S.H.en
dc.contributor.authorReitsma, J.M.en
dc.contributor.authorSenterre, B.en
dc.contributor.authorSonke, B.en
dc.contributor.authorSunderland, Terry C.H.en
dc.contributor.authorSwaine, M.D.en
dc.contributor.authorTchouto, M.G.P.en
dc.contributor.authorThomas, D.en
dc.contributor.authorValkenburg, J.L.C.H. vanen
dc.contributor.authorHardy, Olivier J.en
dc.date.accessioned2012-06-04T09:15:05Zen
dc.date.available2012-06-04T09:15:05Zen
dc.identifier.urihttps://hdl.handle.net/10568/20682
dc.titlePredicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial modelen
dcterms.abstractOur 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.en
dcterms.bibliographicCitationParmentier, 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. 2011. Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model . Journal of Biogeography 38 (6) :1164-1176. ISSN: 0305-0270.en
dcterms.issued2011
dcterms.languageen
dcterms.subjectrain forestsen
dcterms.subjectbiodiversityen
dcterms.subjectclimate changeen
dcterms.subjectmodellingen
dcterms.subjectdiversityen
dcterms.subjectspatial analysisen
dcterms.subjectspatial distributionen
dcterms.typeJournal Article

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