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Altitudinal filtering of large-tree species explains above-ground biomass variation in an Atlantic Central African rain forest

Authors: Maxime Réjou-Méchain; Terry Sunderland; Sylvie Gourlet-Fleury; Charles Doumenge; Doyle McKey; Vincent Freycon; Nicolas Picard; +2 Authors

Altitudinal filtering of large-tree species explains above-ground biomass variation in an Atlantic Central African rain forest

Abstract

Abstract:Patterns in above-ground biomass of tropical forests over short altitudinal gradients are poorly known. The aim of this study was to investigate the variation of above-ground biomass with altitude in old-growth forests and determine the importance of changes in floristic composition as a cause of this variation. We used a dataset from 15 1-ha permanent plots established from lowland (200 m asl) to submontane forests (900 m asl) in the Ngovayang Massif, south-western Cameroon. We analysed variation over altitude in two specific functional traits, the potential maximum tree height and the wood density. Forest above-ground biomass decreased from 500–600 Mg ha−1 in lowland plots to around 260 Mg ha−1 at the highest altitudes. The contribution to above-ground biomass of large-tree species (dbh ≥ 70 cm) decreased with altitude, while the contribution of smaller trees was constant. Contribution of the Fabaceae subfamily Caesalpinioideae decreased with altitude, while those of Clusiaceae, Phyllanthaceae and Burseraceae increased. While potential maximum tree height significantly decreased, wood specific gravity displayed no trend along the gradient. Finally, the decrease in above-ground biomass along the short altitudinal gradient can be at least partially explained by a shift in species composition, with large-tree species being filtered out at the highest altitudes. These results suggest that global change could lead to significant shifts in the properties of montane forests over time.

Country
France
Keywords

[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, biomasse aérienne des arbres, K01 - Foresterie - Considérations générales, Biomasse, submontane forests, Cameroon, Forêt tropicale humide, Hauteur, tropical forests, Altitude, forestry, Fabaceae, trees, F40 - Ecologie végétale, rain forests, Ngovayang Massif, carbon stocks, niche, Forêt, [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, niche filtering, 570, Caesalpinioideae, [ SDV.SA.SF ] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Altitudinal gradient, Croissance, 580, Changement climatique, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, biomass, Composition botanique, carbon, Montagne, filtering, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Guttiferae, altitudinal gradient, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, agrovoc: agrovoc:c_7976, agrovoc: agrovoc:c_1432, agrovoc: agrovoc:c_3536, agrovoc: agrovoc:c_1180, agrovoc: agrovoc:c_4256, agrovoc: agrovoc:c_3444, agrovoc: agrovoc:c_926, agrovoc: agrovoc:c_1229, agrovoc: agrovoc:c_1373987680230, agrovoc: agrovoc:c_1666, agrovoc: agrovoc:c_15945, agrovoc: agrovoc:c_3394, agrovoc: agrovoc:c_316, agrovoc: agrovoc:c_3062, agrovoc: agrovoc:c_12676

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
Green
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