Central African biomes and forest succession stages derived from modern pollen data and plant functional types 1ISE-M, UMR 5554 CNRS/Université Montpellier II, Place Eugène Bataillon, cc61, 34095 Montpellier cedex 5, France
2Institut de Recherche en Ecologie Tropicale (IRET/CENAREST), BP 13354, Libreville, Gabon
3CEREGE, CNRS/Université Aix-Marseille/IRD/CdF, BP 80, 13545 Aix-en-Provence cedex 04, France
4Faculté des Sciences, Université Marien Ngouabi, BP 69, Brazzaville, Congo
5LSCE, UMR CNRS/CEA/UVSQ, 12 Avenue de la Terrasse, 91198 Gif-sur-Yvette cedex, France
Received: 23 October 2008 – Published in Clim. Past Discuss.: 15 January 2009 Abstract. New detailed vegetation reconstructions are proposed in Atlantic Central
Africa from a modern pollen data set derived from 199 sites (Cameroon, Gabon
and Congo) including 131 new sites. In this study, the concept of plant
functional classification is improved with new and more detailed plant
functional types (PFTs) and new aggregations of pollen taxa. Using the
biomisation method, we reconstructed (1) modern potential biomes and (2)
potential succession stages of forest regeneration, a new approach in
Atlantic Central African vegetation dynamics and ecosystem functioning
reconstruction. When compared to local vegetation, potential biomes are
correctly reconstructed (97.5% of the sites) and tropical rain forest
(TRFO biome) is well identified from tropical seasonal forest (TSFO biome).
When the potential biomes are superimposed on the White's vegetation map,
only 76.4% of the sites are correctly reconstructed. But using botanical
data, correspondence and cluster analyses, the 43 sites from Congo (Mayombe)
evidence more affinities with those of central Gabon and so they can also be
considered as correctly reconstructed as TRFO biome and White's map should
be revised. In terms of potential succession stages of forest regeneration,
the mature forest (TMFO) is well differentiated from the secondary forest
(TSFE), but inside this latter group, the young and the pioneer stages are
not clearly identified due probably to their low sampling representation.
Moreover, linked to their progressive and mosaic character, the boundaries
between two forest biomes or two forest stages are not clearly detected and
need also a more intensive sampling in such transitions.
Accepted: 30 November -0001 – Published: 26 March 2015
Citation: Lebamba, J., Ngomanda, A., Vincens, A., Jolly, D., Favier, C., Elenga, H., and Bentaleb, I.: Central African biomes and forest succession stages derived from modern pollen data and plant functional types, Clim. Past, 5, 403-429, doi:10.5194/cp-5-403-2009, 2009.