Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar
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.
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P01 - Conservation de la nature et ressources foncières K01 - Foresterie - Considérations générales E51 - Population rurale K70 - Dégâts causés aux forêts et leur protection 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 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_15590 http://aims.fao.org/aos/agrovoc/c_10328 http://aims.fao.org/aos/agrovoc/c_13513 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_37938 http://aims.fao.org/aos/agrovoc/c_34841 http://aims.fao.org/aos/agrovoc/c_1302 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_4182 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_6523 http://aims.fao.org/aos/agrovoc/c_2222 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_37958 http://aims.fao.org/aos/agrovoc/c_1374571087594 http://aims.fao.org/aos/agrovoc/c_4510 P01 - Conservation de la nature et ressources foncières K01 - Foresterie - Considérations générales E51 - Population rurale K70 - Dégâts causés aux forêts et leur protection 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 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_15590 http://aims.fao.org/aos/agrovoc/c_10328 http://aims.fao.org/aos/agrovoc/c_13513 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_37938 http://aims.fao.org/aos/agrovoc/c_34841 http://aims.fao.org/aos/agrovoc/c_1302 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_4182 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_6523 http://aims.fao.org/aos/agrovoc/c_2222 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_37958 http://aims.fao.org/aos/agrovoc/c_1374571087594 http://aims.fao.org/aos/agrovoc/c_4510 |
spellingShingle |
P01 - Conservation de la nature et ressources foncières K01 - Foresterie - Considérations générales E51 - Population rurale K70 - Dégâts causés aux forêts et leur protection 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 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_15590 http://aims.fao.org/aos/agrovoc/c_10328 http://aims.fao.org/aos/agrovoc/c_13513 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_37938 http://aims.fao.org/aos/agrovoc/c_34841 http://aims.fao.org/aos/agrovoc/c_1302 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_4182 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_6523 http://aims.fao.org/aos/agrovoc/c_2222 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_37958 http://aims.fao.org/aos/agrovoc/c_1374571087594 http://aims.fao.org/aos/agrovoc/c_4510 P01 - Conservation de la nature et ressources foncières K01 - Foresterie - Considérations générales E51 - Population rurale K70 - Dégâts causés aux forêts et leur protection 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 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_15590 http://aims.fao.org/aos/agrovoc/c_10328 http://aims.fao.org/aos/agrovoc/c_13513 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_37938 http://aims.fao.org/aos/agrovoc/c_34841 http://aims.fao.org/aos/agrovoc/c_1302 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_4182 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_6523 http://aims.fao.org/aos/agrovoc/c_2222 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_37958 http://aims.fao.org/aos/agrovoc/c_1374571087594 http://aims.fao.org/aos/agrovoc/c_4510 Vieilledent, Ghislain Grinand, Clovis Vaudry, Romuald Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar |
description |
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. |
format |
article |
topic_facet |
P01 - Conservation de la nature et ressources foncières K01 - Foresterie - Considérations générales E51 - Population rurale K70 - Dégâts causés aux forêts et leur protection 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 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_15590 http://aims.fao.org/aos/agrovoc/c_10328 http://aims.fao.org/aos/agrovoc/c_13513 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_37938 http://aims.fao.org/aos/agrovoc/c_34841 http://aims.fao.org/aos/agrovoc/c_1302 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_4182 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_6523 http://aims.fao.org/aos/agrovoc/c_2222 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_37958 http://aims.fao.org/aos/agrovoc/c_1374571087594 http://aims.fao.org/aos/agrovoc/c_4510 |
author |
Vieilledent, Ghislain Grinand, Clovis Vaudry, Romuald |
author_facet |
Vieilledent, Ghislain Grinand, Clovis Vaudry, Romuald |
author_sort |
Vieilledent, Ghislain |
title |
Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar |
title_short |
Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar |
title_full |
Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar |
title_fullStr |
Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar |
title_full_unstemmed |
Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar |
title_sort |
forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: a case study in madagascar |
url |
http://agritrop.cirad.fr/569457/ http://agritrop.cirad.fr/569457/1/document_569457.pdf |
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AT vieilledentghislain forecastingdeforestationandcarbonemissionsintropicaldevelopingcountriesfacingdemographicexpansionacasestudyinmadagascar AT grinandclovis forecastingdeforestationandcarbonemissionsintropicaldevelopingcountriesfacingdemographicexpansionacasestudyinmadagascar AT vaudryromuald forecastingdeforestationandcarbonemissionsintropicaldevelopingcountriesfacingdemographicexpansionacasestudyinmadagascar |
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1792498475864162304 |
spelling |
dig-cirad-fr-5694572024-01-28T21:27:56Z http://agritrop.cirad.fr/569457/ http://agritrop.cirad.fr/569457/ Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar. Vieilledent Ghislain, Grinand Clovis, Vaudry Romuald. 2013. Ecology and Evolution, 3 (6) : 1702-1716.https://doi.org/10.1002/ece3.550 <https://doi.org/10.1002/ece3.550> Forecasting deforestation and carbon emissions in tropical developing countries facing demographic expansion: A case study in Madagascar Vieilledent, Ghislain Grinand, Clovis Vaudry, Romuald eng 2013 Ecology and Evolution P01 - Conservation de la nature et ressources foncières K01 - Foresterie - Considérations générales E51 - Population rurale K70 - Dégâts causés aux forêts et leur protection 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 http://aims.fao.org/aos/agrovoc/c_7976 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_15590 http://aims.fao.org/aos/agrovoc/c_10328 http://aims.fao.org/aos/agrovoc/c_13513 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_37938 http://aims.fao.org/aos/agrovoc/c_34841 http://aims.fao.org/aos/agrovoc/c_1302 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_4182 http://aims.fao.org/aos/agrovoc/c_33949 http://aims.fao.org/aos/agrovoc/c_6523 http://aims.fao.org/aos/agrovoc/c_2222 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_37958 http://aims.fao.org/aos/agrovoc/c_1374571087594 Madagascar http://aims.fao.org/aos/agrovoc/c_4510 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/569457/1/document_569457.pdf application/pdf cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1002/ece3.550 10.1002/ece3.550 info:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.550 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1002/ece3.550 |