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.

Detalles Bibliográficos
Autores principales: 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., Kouamé, 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, Olivier J.
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2011
Materias:
Acceso en línea:https://hdl.handle.net/10568/20682
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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.
Kouamé, 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, Olivier J.
author_browse Affum-Baffoe, K.
Bakayoko, A.
Bongers, F.
Buermann, W.
Chatelain, C.
Chuyong, G.B.
Comiskey, J.A.
Dauby, G.
Doucet, J.L.
Fauset, S.
Gautier, L.
Gillet, J.F.
Hardy, Olivier J.
Harrigan, R.J.
Hawthorne, W.D.
Kenfack, D.
Kouamé, F.N.
Kouassi, E.K.
Kouka, L.A.
Leal, M.E.
Lewis, S.L.
Malhi, Y.
Mitchard, E.T.A.
Nusbaumer, L.
Parmentier, I.
Parren, M.P.E.
Peh, K.S.H.
Reitsma, J.M.
Saatchi, S.
Senterre, B.
Sheil, Douglas
Sonke, B.
Sosef, M.S.M.
Sunderland, Terry C.H.
Swaine, M.D.
Tchouto, M.G.P.
Thomas, D.
Valkenburg, J.L.C.H. van
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.
Kouamé, 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, Olivier J.
author_sort Parmentier, I.
collection Repository of Agricultural Research Outputs (CGSpace)
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
id CGSpace20682
institution CGIAR Consortium
language Inglés
publishDate 2011
publishDateRange 2011
publishDateSort 2011
record_format dspace
spelling CGSpace206822025-01-24T14:12:45Z 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. Kouamé, 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, Olivier 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 https://hdl.handle.net/10568/20682 en 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.
spellingShingle 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.
Kouamé, 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, Olivier 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
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_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_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_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
topic rain forests
biodiversity
climate change
modelling
diversity
spatial analysis
spatial distribution
url https://hdl.handle.net/10568/20682
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