Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability

Policy makers need to predict the socio-economic vulnerability of their populations to climate change. The method proposed in this paper links the outputs of five regional climate models (CCLM, HadRM3P, RACMO, RCA and REMO) to a compartmental model. The method was applied to a representative village in the Sahelian region of Burkina Faso. The integrated model shows the evolution of three socio-economic groups (“Less vulnerable”, “Vulnerable” and “More vulnerable”) up to 2050 and accounts for farmers strategies, policy interventions and climate. A mathematical analysis of the model confirmed its robustness. The simulations showed no transition from “Vulnerable” to the “More vulnerable” group. The five regional climate model outputs implemented under scenario A1B of the IPCC show that the populations of the village will be “Less vulnerable” to climatic variability, with a percentage likelihood of between 65 and 85%. The “More vulnerable” group can migrate to the “Less vulnerable” group and vice-versa as these two groups transit by the group of the “Vulnerable”. The only covariate risk we considered is climate, particularly rainfall variability. The vulnerability method developed here can be applied in any situation in which it is possible to evaluate the coefficients of transition from one vulnerability group to another.

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Main Authors: Zorom, Malicki, Barbier, Bruno, Gouba, Elisée, Somé, Blaise
Format: article biblioteca
Language:eng
Subjects:E50 - Sociologie rurale, P40 - Météorologie et climatologie, U10 - Informatique, mathématiques et statistiques, changement climatique, population rurale, moyens d'existence, résilience, simulation, modélisation environnementale, http://aims.fao.org/aos/agrovoc/c_1666, http://aims.fao.org/aos/agrovoc/c_6705, http://aims.fao.org/aos/agrovoc/c_1374498089962, http://aims.fao.org/aos/agrovoc/c_1374480530924, http://aims.fao.org/aos/agrovoc/c_5209, http://aims.fao.org/aos/agrovoc/c_9000056, http://aims.fao.org/aos/agrovoc/c_8081, http://aims.fao.org/aos/agrovoc/c_6734,
Online Access:http://agritrop.cirad.fr/588203/
http://agritrop.cirad.fr/588203/13/b.barbier.pdf
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spelling dig-cirad-fr-5882032024-01-29T01:05:06Z http://agritrop.cirad.fr/588203/ http://agritrop.cirad.fr/588203/ Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability. Zorom Malicki, Barbier Bruno, Gouba Elisée, Somé Blaise. 2018. Modeling Earth Systems and Environment, 4 (3) : 1213-1223.https://doi.org/10.1007/s40808-018-0489-y <https://doi.org/10.1007/s40808-018-0489-y> Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability Zorom, Malicki Barbier, Bruno Gouba, Elisée Somé, Blaise eng 2018 Modeling Earth Systems and Environment E50 - Sociologie rurale P40 - Météorologie et climatologie U10 - Informatique, mathématiques et statistiques changement climatique population rurale moyens d'existence résilience simulation modélisation environnementale http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_6705 http://aims.fao.org/aos/agrovoc/c_1374498089962 http://aims.fao.org/aos/agrovoc/c_1374480530924 http://aims.fao.org/aos/agrovoc/c_5209 http://aims.fao.org/aos/agrovoc/c_9000056 Burkina Faso Sahel http://aims.fao.org/aos/agrovoc/c_8081 http://aims.fao.org/aos/agrovoc/c_6734 Policy makers need to predict the socio-economic vulnerability of their populations to climate change. The method proposed in this paper links the outputs of five regional climate models (CCLM, HadRM3P, RACMO, RCA and REMO) to a compartmental model. The method was applied to a representative village in the Sahelian region of Burkina Faso. The integrated model shows the evolution of three socio-economic groups (“Less vulnerable”, “Vulnerable” and “More vulnerable”) up to 2050 and accounts for farmers strategies, policy interventions and climate. A mathematical analysis of the model confirmed its robustness. The simulations showed no transition from “Vulnerable” to the “More vulnerable” group. The five regional climate model outputs implemented under scenario A1B of the IPCC show that the populations of the village will be “Less vulnerable” to climatic variability, with a percentage likelihood of between 65 and 85%. The “More vulnerable” group can migrate to the “Less vulnerable” group and vice-versa as these two groups transit by the group of the “Vulnerable”. The only covariate risk we considered is climate, particularly rainfall variability. The vulnerability method developed here can be applied in any situation in which it is possible to evaluate the coefficients of transition from one vulnerability group to another. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/588203/13/b.barbier.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s40808-018-0489-y 10.1007/s40808-018-0489-y info:eu-repo/semantics/altIdentifier/doi/10.1007/s40808-018-0489-y info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s40808-018-0489-y
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic E50 - Sociologie rurale
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
changement climatique
population rurale
moyens d'existence
résilience
simulation
modélisation environnementale
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_6705
http://aims.fao.org/aos/agrovoc/c_1374498089962
http://aims.fao.org/aos/agrovoc/c_1374480530924
http://aims.fao.org/aos/agrovoc/c_5209
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6734
E50 - Sociologie rurale
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
changement climatique
population rurale
moyens d'existence
résilience
simulation
modélisation environnementale
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_6705
http://aims.fao.org/aos/agrovoc/c_1374498089962
http://aims.fao.org/aos/agrovoc/c_1374480530924
http://aims.fao.org/aos/agrovoc/c_5209
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6734
spellingShingle E50 - Sociologie rurale
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
changement climatique
population rurale
moyens d'existence
résilience
simulation
modélisation environnementale
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_6705
http://aims.fao.org/aos/agrovoc/c_1374498089962
http://aims.fao.org/aos/agrovoc/c_1374480530924
http://aims.fao.org/aos/agrovoc/c_5209
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6734
E50 - Sociologie rurale
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
changement climatique
population rurale
moyens d'existence
résilience
simulation
modélisation environnementale
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_6705
http://aims.fao.org/aos/agrovoc/c_1374498089962
http://aims.fao.org/aos/agrovoc/c_1374480530924
http://aims.fao.org/aos/agrovoc/c_5209
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6734
Zorom, Malicki
Barbier, Bruno
Gouba, Elisée
Somé, Blaise
Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability
description Policy makers need to predict the socio-economic vulnerability of their populations to climate change. The method proposed in this paper links the outputs of five regional climate models (CCLM, HadRM3P, RACMO, RCA and REMO) to a compartmental model. The method was applied to a representative village in the Sahelian region of Burkina Faso. The integrated model shows the evolution of three socio-economic groups (“Less vulnerable”, “Vulnerable” and “More vulnerable”) up to 2050 and accounts for farmers strategies, policy interventions and climate. A mathematical analysis of the model confirmed its robustness. The simulations showed no transition from “Vulnerable” to the “More vulnerable” group. The five regional climate model outputs implemented under scenario A1B of the IPCC show that the populations of the village will be “Less vulnerable” to climatic variability, with a percentage likelihood of between 65 and 85%. The “More vulnerable” group can migrate to the “Less vulnerable” group and vice-versa as these two groups transit by the group of the “Vulnerable”. The only covariate risk we considered is climate, particularly rainfall variability. The vulnerability method developed here can be applied in any situation in which it is possible to evaluate the coefficients of transition from one vulnerability group to another.
format article
topic_facet E50 - Sociologie rurale
P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques
changement climatique
population rurale
moyens d'existence
résilience
simulation
modélisation environnementale
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_6705
http://aims.fao.org/aos/agrovoc/c_1374498089962
http://aims.fao.org/aos/agrovoc/c_1374480530924
http://aims.fao.org/aos/agrovoc/c_5209
http://aims.fao.org/aos/agrovoc/c_9000056
http://aims.fao.org/aos/agrovoc/c_8081
http://aims.fao.org/aos/agrovoc/c_6734
author Zorom, Malicki
Barbier, Bruno
Gouba, Elisée
Somé, Blaise
author_facet Zorom, Malicki
Barbier, Bruno
Gouba, Elisée
Somé, Blaise
author_sort Zorom, Malicki
title Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability
title_short Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability
title_full Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability
title_fullStr Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability
title_full_unstemmed Mathematical modelling of the dynamics of the socio-economic vulnerability of rural Sahelian households in a context of climatic variability
title_sort mathematical modelling of the dynamics of the socio-economic vulnerability of rural sahelian households in a context of climatic variability
url http://agritrop.cirad.fr/588203/
http://agritrop.cirad.fr/588203/13/b.barbier.pdf
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