A trait database for Guianan rain forest trees permits intra- and inter-specific contrasts

Ollivier, Mariwenn; Baraloto, Christopher; Marcon, Éric

doi:10.1051/forest:2007058

Cited by 19 publications

(17 citation statements)

References 36 publications

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“…The original cross-section mass was next calculated as the product of the initial cross-section volume and the mean wood specific gravity (0.872 9 wood density at 12% humidity; following Chave et al 2006). Wood densities at 12% humidity were measured at the Paracou experimental site (Table 1) to avoid biases due to regional database compilation (Baraloto et al 2010), and are now available in a large trait database for the Guiana shield (Ollivier et al 2007). Finally, the remaining fraction was obtained by dividing the current anhydrous mass of each cross-section by the estimated initial anhydrous mass.…”

Section: Sampling Methodsmentioning

confidence: 99%

Modeling decay rates of dead wood in a neotropical forest

et al. 2010

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Variation of dead wood decay rates among tropical trees remains one source of uncertainty in global models of the carbon cycle. Taking advantage of a broad forest plot network surveyed for tree mortality over a 23-year period, we measured the remaining fraction of boles from 367 dead trees from 26 neotropical species widely varying in wood density (0.23-1.24 g cm(-3)) and tree circumference at death time (31.5-272.0 cm). We modeled decay rates within a Bayesian framework assuming a first order differential equation to model the decomposition process and tested for the effects of forest management (selective logging vs. unexploited), of mode of death (standing vs. downed) and of topographical levels (bottomlands vs. hillsides vs. hilltops) on wood decay rates. The general decay model predicts the observed remaining fraction of dead wood (R2 = 60%) with only two biological predictors: tree circumference at death time and wood specific density. Neither selective logging nor local topography had a differential effect on wood decay rates. Including the mode of death into the model revealed that standing dead trees decomposed faster than downed dead trees, but the gain of model accuracy remains rather marginal. Overall, these results suggest that the release of carbon from tropical dead trees to the atmosphere can be simply estimated using tree circumference at death time and wood density.

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Section: Sampling Methodsmentioning

confidence: 99%

Modeling decay rates of dead wood in a neotropical forest

et al. 2010

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“…Third, information on seven functional traits for which (i) information was available for the 43 focal species and (ii) trait values do not change with ontogeny, was extracted from a trait data base (Appendix S1) developed for the Guiana Shield region (Digital Appendix A,Ollivier, Baraloto & Marcon 2007). These seven key‐traits have been often proposed to be important for plant performance and to represent complementary axes of tree ecological strategies in tropical forests (Westoby 1998; Weiher et al.…”

Section: Methodsmentioning

confidence: 99%

Growth responses of neotropical trees to logging gaps

Hérault

Ouallet

Blanc

et al. 2010

Journal of Applied Ecology

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Summary1. Modelling growth strategies among tropical trees is an important objective in predicting the response of tree dynamics to selective logging and in gaining insights into the ecological processes that structure tree communities in managed tropical forests. 2. We developed a disturbance index to model the effects of distance to and area of logging gaps on stem radial growth rates. This index was tested using census data of 43 neotropical tree species, representing a variety of life-history strategies and developmental stages, from a selectively logged forest at Paracou, French Guiana. Growth strategies were analyzed in light of two indicators: the inherent species growth rate (when disturbance index is null) and the species reaction (change in growth rate) to logging gaps. 3. Across species, the predicted inherent growth rates in unlogged forest ranged from 0AE25 to 6AE47 mm year . Ontogenetic shifts in inherent growth rate were found in 26 of the 43 species. 4. Species growth response to logging gaps varied widely among species but was significantly positive for 27 species. The effect of ontogeny on growth response to logging was retained for 14 species, and species with inherent fast growth rate (5 mm year ) responded less to logging gap disturbances than did species with slow inherent growth (1 mm year )1 ). 5. Functional traits explained 19-42% of the variation in the inherent growth rate and in species' response across all developmental stages. Whereas maximum diameters and seed mass were strong predictors of inherent growth rate, maximum height, wood density, mode of germination and stem architecture were additionally involved in tree growth response. 6. Synthesis and applications: This study provides a necessary framework for developing predictive post-logging growth models for the thousands of species comprising tropical forests and is sufficiently general to apply to a broad range of managed tropical forests.

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“…Minimum relative humidity and temperature were recorded at 2-m high. Soil water content and temperature were recorded at a depth of 0.2 m TFF Terra Firme forest, SFF seasonally flooded forest sampled were quite different (Ollivier et al 2007). Diameter at breast height (1.3 m from the ground; DBH) of the selected trees in the two habitats ranged from 14.1 to 83.7 cm.…”

Section: Tree Selectionmentioning

confidence: 99%