Agritrop
Accueil

Modelling aboveground biomass dynamics in Amazonian selectively logged forests

Piponiot-Laroche Camille, Mazzei Lucas, Rutishauser Ervan, Sist Plinio, Hérault Bruno. 2016. Modelling aboveground biomass dynamics in Amazonian selectively logged forests. In : Tropical ecology and society reconciliating conservation and sustainable use of biodiversity. Program and abstracts. Plinio Sist (ed.), Stéphanie Carrière (ed.), Pia Parolin (ed.), Pierre-Michel Forget (ed.). ATBC. Storrs : ATBC, Résumé, p. 311. Annual Meeting of the Association for Tropical Biology and Conservation (ATBC 2016), Montpellier, France, 19 Juin 2016/23 Juin 2016.

Communication avec actes
[img]
Prévisualisation
Version publiée - Anglais
Utilisation soumise à autorisation de l'auteur ou du Cirad.
Page 311 de ATBC 2016-2.pdf

Télécharger (2MB) | Prévisualisation

Résumé : Large areas (2 million hectares per year) of Amazonian forests are selectively logged in a polycyclic harvest system. Modeling the post-logging dynamics of these production forests is thus of primary importance to assess their future carbon storage capacity as well as the structural and dynamic features of the forest that will be found in the next logging cycle. In this study, we used a network of 100 permanent sample plots in 10 sites spread across the Amazon basin to model three post-logging biomass fluxes (recruitment, growth and mortality). The temporal evolution of these biomass fluxes (recruitment, growth and mortality) for surviving trees and recruits and their relative importance in explaining biomass recovery through the Amazonian basin were modeled taking into account spatial as well as temporal autocorrelation in a mixed model framework. Incorporating both the environmental variability and the logging characteristics in the developed model indicate that the two key drivers of post-logging biomass fluxes are the relative biomass loss due to logging and the initial aboveground biomass. Overall, environmental factors had little additional weight in explaining the Amazon-wide variations of post-logging biomass fluxes. Our results stress the importance of developing specific modelling frameworks to account for the peculiar carbon cycle in managed tropical forests in order to better recognize their key role for climate regulation at the global scale. (Texte intégral)

Classification Agris : K10 - Production forestière
K01 - Foresterie - Considérations générales
P01 - Conservation de la nature et ressources foncières
U10 - Informatique, mathématiques et statistiques
F62 - Physiologie végétale - Croissance et développement

Auteurs et affiliations

Autres liens de la publication

Source : Cirad-Agritrop (https://agritrop.cirad.fr/581233/)

Voir la notice (accès réservé à la Dist) Voir la notice (accès réservé à la Dist)

[ Page générée et mise en cache le 2023-06-15 ]