Agritrop
Accueil

Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar

Vieilledent Ghislain, Grinand Clovis, Vaudry Romuald. 2013. Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar. Ecology and Evolution, 3 (6) : 1702-1716.

Article de revue ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Prévisualisation
Version publiée - Anglais
Sous licence Licence Creative Commons.
document_569457.pdf

Télécharger (3MB) | Prévisualisation

Quartile : Q3, Sujet : ECOLOGY

Résumé : Anthropogenic deforestation in tropical countries is responsible for a significant part of global carbon dioxide emissions in the atmosphere. To plan efficient climate change mitigation programs (such as REDD+, Reducing Emissions from Deforestation and forest Degradation), reliable forecasts of deforestation and carbon dioxide emissions are necessary. Although population density has been recognized as a key factor in tropical deforestation, current methods of prediction do not allow the population explosion that is occurring in many tropical developing countries to be taken into account. Here, we propose an innovative approach using novel computational and statistical tools, including R/GRASS scripts and the new phcfM R package, to model the intensity and location of deforestation including the effect of population density. We used the model to forecast anthropogenic deforestation and carbon dioxide emissions in five large study areas in the humid and spiny-dry forests of Madagascar. Using our approach, we were able to demonstrate that the current rapid population growth in Madagascar (+3.39% per year) will significantly increase the intensity of deforestation by 2030 (up to +1.17% per year in densely populated areas). We estimated the carbon dioxide emissions associated with the loss of aboveground biomass to be of 2.24 and 0.26 tons per hectare and per year in the humid and spiny-dry forest, respectively. Our models showed better predictive ability than previous deforestation models (the figure of merit ranged from 10 to 23). We recommend this approach to reduce the uncertainty associated with deforestation forecasts. We also underline the risk of an increase in the speed of deforestation in the short term in tropical developing countries undergoing rapid population expansion.

Mots-clés Agrovoc : forêt tropicale humide, forêt tropicale, déboisement, démographie, croissance de la population, modèle de simulation, méthode statistique, impact sur l'environnement, évaluation de l'impact, gaz à effet de serre, dioxyde de carbone, changement climatique, utilisation des terres, biodiversité, conservation des ressources, pays en développement, zone tropicale, étude de cas, bioinformatique, atténuation des effets du changement climatique

Mots-clés géographiques Agrovoc : Madagascar

Mots-clés complémentaires : Déforestation, Forêt tropicale sèche

Classification Agris : P01 - Conservation de la nature et ressources foncières
K01 - Foresterie - Considérations générales
E51 - Population rurale
K70 - Dégâts causés aux forêts et leur protection

Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés

Auteurs et affiliations

  • Vieilledent Ghislain, CIRAD-ES-UPR BSef (FRA) ORCID: 0000-0002-1685-4997
  • Grinand Clovis, GoodPlanet Foundation (FRA)
  • Vaudry Romuald, GoodPlanet Foundation (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/569457/)

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

[ Page générée et mise en cache le 2024-11-13 ]