Dataset Information

Geological substrates shape tree species and trait distributions in African moist forests.

ABSTRACT:

Background

Understanding the factors that shape the distribution of tropical tree species at large scales is a central issue in ecology, conservation and forest management. The aims of this study were to (i) assess the importance of environmental factors relative to historical factors for tree species distributions in the semi-evergreen forests of the northern Congo basin; and to (ii) identify potential mechanisms explaining distribution patterns through a trait-based approach.

Methodology/principal findings

We analyzed the distribution patterns of 31 common tree species in an area of more than 700,000 km(2) spanning the borders of Cameroon, the Central African Republic, and the Republic of Congo using forest inventory data from 56,445 0.5-ha plots. Spatial variation of environmental (climate, topography and geology) and historical factors (human disturbance) were quantified from maps and satellite records. Four key functional traits (leaf phenology, shade tolerance, wood density, and maximum growth rate) were extracted from the literature. The geological substrate was of major importance for the distribution of the focal species, while climate and past human disturbances had a significant but lesser impact. Species distribution patterns were significantly related to functional traits. Species associated with sandy soils typical of sandstone and alluvium were characterized by slow growth rates, shade tolerance, evergreen leaves, and high wood density, traits allowing persistence on resource-poor soils. In contrast, fast-growing pioneer species rarely occurred on sandy soils, except for Lophira alata.

Conclusions/significance

The results indicate strong environmental filtering due to differential soil resource availability across geological substrates. Additionally, long-term human disturbances in resource-rich areas may have accentuated the observed patterns of species and trait distributions. Trait differences across geological substrates imply pronounced differences in population and ecosystem processes, and call for different conservation and management strategies.

SUBMITTER: Fayolle A

PROVIDER: S-EPMC3419707 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Geological substrates shape tree species and trait distributions in African moist forests.

Fayolle Adeline A Engelbrecht Bettina B Freycon Vincent V Mortier Frédéric F Swaine Michael M Réjou-Méchain Maxime M Doucet Jean-Louis JL Fauvet Nicolas N Cornu Guillaume G Gourlet-Fleury Sylvie S

PloS one 20120815 8

<h4>Background</h4>Understanding the factors that shape the distribution of tropical tree species at large scales is a central issue in ecology, conservation and forest management. The aims of this study were to (i) assess the importance of environmental factors relative to historical factors for tree species distributions in the semi-evergreen forests of the northern Congo basin; and to (ii) identify potential mechanisms explaining distribution patterns through a trait-based approach.<h4>Method ...[more]

PMID: 22905127

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Project description:Abstract Understanding the drivers of trait selection is critical for resolving community assembly processes. Here, we test the importance of environmental filtering and trait covariance for structuring the functional traits of understory herbaceous communities distributed along a natural environmental resource gradient that varied in soil moisture, temperature, and nitrogen availability, produced by different topographic positions in the southern Appalachian Mountains. To uncover potential differences in community?level trait responses to the resource gradient, we quantified the averages and variances of both abundance?weighted and unweighted values for six functional traits (vegetative height, leaf area, specific leaf area, leaf dry matter content, leaf nitrogen, and leaf ?13C) using 15 individuals of each of the 108 species of understory herbs found at two sites in the southern Appalachians of western North Carolina, USA. Environmental variables were better predictors of weighted than unweighted community?level average trait values for all but height and leaf N, indicating strong environmental filtering of plant abundance. Community?level variance patterns also showed increased convergence of abundance?weighted traits as resource limitation became more severe. Functional trait covariance patterns based on weighted averages were uniform across the gradient, whereas coordination based on unweighted averages was inconsistent and varied with environmental context. In line with these results, structural equation modeling revealed that unweighted community?average traits responded directly to local environmental variation, whereas weighted community?average traits responded indirectly to local environmental variation through trait coordination. Our finding that trait coordination is more important for explaining the distribution of weighted than unweighted average trait values along the gradient indicates that environmental filtering acts on multiple traits simultaneously, with abundant species possessing more favorable combinations of traits for maximizing fitness in a given environment. Understanding the drivers of trait selection is critical for resolving community assembly processes. Our finding that trait coordination is more important for explaining the distribution of weighted than unweighted average trait values along the gradient indicates that environmental filtering acts on multiple traits simultaneously, with abundant species possessing more favorable combinations of traits for maximizing fitness in a given environment.

Dataset Information

Geological substrates shape tree species and trait distributions in African moist forests.

Background

Methodology/principal findings

Conclusions/significance

Publications

Geological substrates shape tree species and trait distributions in African moist forests.

Similar Datasets

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