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

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

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.

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Main 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, Douglas, 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, Terry C.H., Swaine, M.D., Tchouto, M.G.P., Thomas, D., Valkenburg, J.L.C.H. van, Hardy, O.J.
Format: Journal Article biblioteca
Language:English
Published: 2011
Subjects:rain forests, biodiversity, climate change, modelling, diversity, spatial analysis, spatial distribution,
Online Access:https://hdl.handle.net/10568/20682
https://www.cifor.org/knowledge/publication/3342
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spelling dig-cgspace-10568-206822016-05-30T17:49:03Z Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model 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, Douglas 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, Terry C.H. Swaine, M.D. Tchouto, M.G.P. Thomas, D. Valkenburg, J.L.C.H. van Hardy, O.J. rain forests biodiversity climate change modelling diversity spatial analysis spatial distribution 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. 2011 2012-06-04T09:15:05Z 2012-06-04T09:15:05Z Journal Article 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. 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. 0305-0270 https://hdl.handle.net/10568/20682 https://www.cifor.org/knowledge/publication/3342 en Journal of Biogeography
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic rain forests
biodiversity
climate change
modelling
diversity
spatial analysis
spatial distribution
rain forests
biodiversity
climate change
modelling
diversity
spatial analysis
spatial distribution
spellingShingle rain forests
biodiversity
climate change
modelling
diversity
spatial analysis
spatial distribution
rain forests
biodiversity
climate change
modelling
diversity
spatial analysis
spatial distribution
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, Douglas
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, Terry C.H.
Swaine, M.D.
Tchouto, M.G.P.
Thomas, D.
Valkenburg, J.L.C.H. van
Hardy, O.J.
Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
description 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.
format Journal Article
topic_facet rain forests
biodiversity
climate change
modelling
diversity
spatial analysis
spatial distribution
author 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, Douglas
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, Terry C.H.
Swaine, M.D.
Tchouto, M.G.P.
Thomas, D.
Valkenburg, J.L.C.H. van
Hardy, O.J.
author_facet 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, Douglas
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, Terry C.H.
Swaine, M.D.
Tchouto, M.G.P.
Thomas, D.
Valkenburg, J.L.C.H. van
Hardy, O.J.
author_sort Parmentier, I.
title Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
title_short Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
title_full Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
title_fullStr Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
title_full_unstemmed Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
title_sort predicting alpha diversity of african rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
publishDate 2011
url https://hdl.handle.net/10568/20682
https://www.cifor.org/knowledge/publication/3342
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