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Natural disturbance is a fundamental component of the functioning of tropical rainforests let to natural dynamics, with tree mortality the driving force of forest renewal. With ongoing global (i.e. land-use and climate) changes, tropical forests are currently facing deep and rapid modifications in disturbance regimes that may hamper their recovering capacity so that developing robust predictive model able to predict ecosystem resilience and recovery becomes of primary importance for decision-making. In their new paper, Hérault & Piponiot used the long-term Paracou datasets to decipher the endogenous (forest structure and composition) and exogenous (local environment and climate stress) drivers of ecosystem recovery in time. They show that the pre-disturbance forest composition and the post-disturbance climate conditions as the primary factors controlling the ecosystem recovery trajectory and conclude that highly-disturbed forests and secondary forests because they are composed of a lot of pioneer species will be less able to cope with new disturbance.
Paracou research station hosted a field visit as part of the thematic school of the LabEx Ceba on Remote sensing and Biodiversity that was held in Kourou between the 24 th and the 29 th of September.
Tropical forests of the Guiana Shield are the most affected by gold-mining in South America, experiencing an exponential increase in deforestation since the early 2000's.
When 2 Mha of Amazonian forests are disturbed by selective logging each year, more than 90 Tg of carbon (C) is emitted to the atmosphere. Emissions are then counterbalanced by forest regrowth. With an original modelling approach, calibrated on a network of 133 permanent forest plots (175 ha total) across Amazonia, we link regional differences in climate, soil and initial biomass with survivors’ and recruits’ C fluxes to provide Amazon-wide predictions of post-logging C recovery. We show that net aboveground C recovery over 10 years is higher in the Guiana Shield and in the west (21 ±±3 Mg C ha−1-1) than in the south (12 ±±3 Mg C ha−1-1) where environmental stress is high (low rainfall, high seasonality). We highlight the key role of survivors in the forest regrowth and elaborate a comprehensive map of post-disturbance C recovery potential in Amazonia.
The Paracou data are an integral part of the GFBI project. This multi-stakeholder platform that supports data sharing, policy-making and cutting-edge research. This is a portal to global forest inventory data and services.
Vulnerability of Commercial Tree Species to Water Stress in Logged Forests of the Guiana Shield
Evidence of Tree Height Reduction After Logging
The Labex CEBA Thematic School 2016 will take place from the 21st to 25th of March 2016 in Kourou and Paracou.
Tree functional traits have globally consistent effects on competition