Browsing by Autor "Sophie Fauset"

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Author Correction: Tree mode of death and mortality risk factors across Amazon forests
(Nature Portfolio, 2021) Adriane Esquivel‐Muelbert; Oliver L. Phillips; Roel Brienen; Sophie Fauset; Martin J. P. Sullivan; Timothy R. Baker; Kuo‐Jung Chao; Ted R. Feldpausch; Emanuel Gloor; Níro Higuchi
Floristics and biogeography of vegetation in seasonally dry tropical regions
(Commonwealth Forestry Association, 2015) Kyle G. Dexter; Barry Smart; Cristina Baldauf; Timothy R. Baker; Michael Balinga; Roel J. W. Brienen; Sophie Fauset; Ted R. Feldpausch; L. Ferreira-Da Silva; Jonathan Ilunga Muledi
To provide an inter-continental overview of the floristics and biogeography of drought-adapted tropical vegetation formations, we compileda dataset of inventory plots in South America (n=93), Africa (n=84), and Asia (n=92) from savannas (subject to fire), seasonally dry tropicalforests (not generally subject to fire), and moist forests (no fire). We analysed floristic similarity across vegetation formations within andbetween continents. Our dataset strongly suggests that different formations tend to be strongly clustered floristically by continent, and that among continents, superficially similar vegetation formations (e.g. savannas) are floristically highly dissimilar. Neotropical moist forest,savanna and seasonally dry tropical forest are floristically distinct, but elsewhere there is no clear floristic division of savanna and seasonallydry tropical forest, though moist and dry formations are separate. We suggest that because of their propensity to burn, many formations termed “dry forest” in Africa and Asia are best considered as savannas. The floristic differentiation of similar vegetation formations from differentcontinents suggests that cross-continental generalisations of the ecology, biology and conservation of savannas and seasonally dry tropicalforests may be difficult.
Hyperdominance in Amazonian forest carbon cycling
(Nature Portfolio, 2015) Sophie Fauset; Michelle Johnson; Manuel Gloor; Timothy R. Baker; Abel Monteagudo M.; Roel Brienen; Ted R. Feldpausch; Gabriela López‐González; Yadvinder Malhi; Hans ter Steege
Individual-Based Modeling of Amazon Forests Suggests That Climate Controls Productivity While Traits Control Demography
(Frontiers Media, 2019) Sophie Fauset; Manuel Gloor; Nikolaos M. Fyllas; Oliver L. Phillips; Gregory P. Asner; Timothy R. Baker; Lisa Patrick Bentley; Roel Brienen; Bradley Christoffersen; Jhon del Águila Pasquel
Climate, species composition, and soils are thought to control carbon cycling and forest structure in Amazonian forests. Here, we add a demographics scheme (tree recruitment, growth, and mortality) to a recently developed non-demographic model - the Trait-based Forest Simulator (TFS) – to explore the roles of climate and plant traits in controlling forest productivity and structure. We compared two sites with differing climates (seasonal versus aseasonal precipitation) and plant traits. Through an initial validation simulation, we assessed whether the model converges on observed forest properties (productivity, demographic and structural variables) using datasets of functional traits, structure, and climate to model the carbon cycle at the two sites. In a second set of simulations, we tested the relative importance of climate and plant traits for forest properties within the TFS framework using the climate from the two sites with hypothetical trait distributions representing two axes of functional variation (‘fast’ versus ‘slow’ leaf traits, and high versus low wood density). The adapted model with demographics reproduced observed variation in gross (GPP) and net (NPP) primary production, and respiration. However NPP and respiration at the level of plant organs (leaf, stem, and root) were poorly simulated. Mortality and recruitment rates were underestimated. The equilibrium forest structure differed from observations of stem numbers suggesting either that the forests are not currently at equilibrium or that mechanisms are missing from the model. Findings from the second set of simulations demonstrated that differences in productivity were driven by climate, rather than plant traits. Contrary to expectation, varying leaf traits had no influence on GPP. Drivers of simulated forest structure were complex, with a key role for wood density mediated by its link to tree mortality. Modelled mortality and recruitment rates were linked to plant traits alone, drought-related mortality was not accounted for. In future, model development should focus on improving allocation, mortality, organ respiration, simulation of understory trees and adding hydraulic traits. This type of model that incorporates diverse tree strategies, detailed forest structure and realistic physiology is necessary if we are to be able to simulate tropical forest responses to global change scenarios.
Tree mode of death and mortality risk factors across Amazon forests
(Nature Portfolio, 2020) Adriane Esquivel‐Muelbert; Oliver L. Phillips; Roel Brienen; Sophie Fauset; Martin J. P. Sullivan; Timothy R. Baker; Kuo‐Jung Chao; Ted R. Feldpausch; Emanuel Gloor; Níro Higuchi