@article{fdi:010054252,
  title = {{C}a{TMAS} : {A} multi-agent model for simulating the dynamics of carbon resources of {W}est {A}frican villages},
  author = {{B}elem, {M}ahamadou and {M}anlay, {R}.{J}. and {M}uller, {J}.{P}. and {C}hotte, {J}ean-{L}uc},
  editor = {},
  language = {{ENG}},
  abstract = {{C}arbon is an important determinant of the sustainability of {W}est {A}frican farming systems and of the atmospheric greenhouse effect. {G}iven the complexity of {C} dynamics, various simulation models have been developed. {F}ew include socioeconomic factors or handle system heterogeneity. {T}his study proposes a generic, multi-agent model for the analysis of {C} dynamics at village level. {I}t assumes that a better analysis of carbon dynamics at village level requires account to be taken of social, economic, physical and biological factors as well as of the actions of individuals and their interdependence. {T}he {C}arbon of {T}erritory {M}ulti-{A}gent {S}imulator ({C}a{TMAS}) model is based on the {O}rganization-{R}ole-{E}ntity-{A}spect ({OREA}) meta-model and the {M}ulti-{A}gent {S}ystems ({MAS}) approach. {OREA} enables {C} dynamics to be studied from various points of view through the roles played by entities within organizations and also allows various entities to play the same role in various ways through the notion of aspects. {T}he model was coupled with the {C}entury model and a geographical information system to provide a realistic representation of {C} dynamics. {C}a{TMAS} provides not only a framework for the explicit description of the carbon dynamics of farming systems but can also be used to assess the viability of farming systems using various socioeconomic and biophysical scenarios. {T}he model includes interactions between human activities and the environment. {S}imple simulations involving two cropping systems and focusing on the impact of population growth and different climate regimes on the {C} dynamics indicate that {C}a{TMAS} accounts realistically for the relationships between population, agriculture, climate and {SOC} dynamics. {I}n simulation, population growth, which drives food demand, leads to agricultural expansion, land scarcity and decrease in fallow duration. {T}hese effects are accentuated by increasing temperature and decreasing rainfall which affect the {SOC} dynamics controlling soil fertility and thus crop production. {I}mprovements to the model should make it possible to extend the scale of the simulation of {C} dynamics and include refinements such as the inclusion of the trading of carbon credits.},
  keywords = {{G}eneric model ; {M}odeling and simulation ; {O}rganic matter ; {F}arming system ; {G}lobal change ; {W}est {A}frican savanna ; {C}entury ; {BURKINA} {FASO}},
  booktitle = {},
  journal = {{E}cological {M}odelling},
  volume = {222},
  numero = {20-22},
  pages = {3651--3661},
  ISSN = {0304-3800},
  year = {2011},
  DOI = {10.1016/j.ecolmodel.2011.08.024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010054252},
}