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A model of cassava distribution in Africa

By: Contributor(s): Material type: ArticleArticleLanguage: English Description: 1.15:39-59Subject(s): LOC classification:
  • 38445
Online resources: In: Trends in CIAT commoditiesSummary: El valor de dar mayor importancia a la variacion espacial en los estudios economicos se demuestra a traves de la construccion de un modelo explicativo de la yuca en Africa. La distribucion del cultivo se relaciona a aspectos importantes de la geografia fisica y humana del continente. Los factores que se cuantifican son proporcion de tierra dedicada al cultivo, duracion de la estacion seca, restricciones edaficas y densidad de la poblacion humana, entre otros. Este modelo ayuda a determinar el patron espacial de la produccion de yuca, y a partir del modelo, se identifican los residuos espaciales. Se explica en detalle la metodologia seguida para producir el modelo. El modelo en si indica que hay diferencias significativas en la cantidad de yuca producida segun las condiciones edaficas y climaticas; como un porcentaje del area de tierra, el cultivo es significativamente mayor es climas con estaciones que en climas secos, y a su vez mayor en climas humedos en comparacion con climas con estaciones y secos. El area sembrada en yuca es similar en suelos sin restricciones y en suelos acidos, y significativamente mayor para estos dos que para suelos restringidos. La alt. no afecto significativamente la distribution espacial de la yuca. La mayor importancia de la yuca en areas humedas es principalmente en funcion de la distribucion de la poblacion, que a su vez depende de los sistemas agricolas de estas areas, su intensidad relativa y las poblaciones que pueden sostener. Se discuten en detalle las limitaciones y las ventajas del modelo. (CIAT)Summary: The value of a more thoughtful consideration of spatial variation in economic studies is demostrated through the construction of an explanatory model for cassava in Africa. The crop's distribution is related to some major features of the continent's physical and human geography. Factors quantified are proportion of land area devoted to the crop, length of the dry season, soil restriction, and density of the human population, among others. This model helps determine the spatial pattern of cassava production; spatial residuals are then identified from the model. The methodology followed to produce the model is explained in detail. The model itself suggests significant differences in the amount of cassava grown according to climatic and edaphic conditions; the crop, as a percentage of land area, is significantly greater in seasonal than in dry climates, and in humid climates compared with seasonal and dry climates. The area planted to cassava is similar for soils with no restrictions and acid soils, and significantly greater for those two than for restricted soils. Alt. had no significant effect of the spatial distribution of cassava. The greater importance of cassava in humid areas is mostly a function of the distribution of population, which in turn depends on the agricultural systems of these areas, their relative intensity, and the populations they are capable of supporting. The limitations and advantages of the model are discussed in detail. (CIAT)
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Journal Article Journal Article CIAT Library Document collection CINFOS Document Collection CINFOS 38445 (Browse shelf(Opens below)) c.1 Short Loan 100060837
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El valor de dar mayor importancia a la variacion espacial en los estudios economicos se demuestra a traves de la construccion de un modelo explicativo de la yuca en Africa. La distribucion del cultivo se relaciona a aspectos importantes de la geografia fisica y humana del continente. Los factores que se cuantifican son proporcion de tierra dedicada al cultivo, duracion de la estacion seca, restricciones edaficas y densidad de la poblacion humana, entre otros. Este modelo ayuda a determinar el patron espacial de la produccion de yuca, y a partir del modelo, se identifican los residuos espaciales. Se explica en detalle la metodologia seguida para producir el modelo. El modelo en si indica que hay diferencias significativas en la cantidad de yuca producida segun las condiciones edaficas y climaticas; como un porcentaje del area de tierra, el cultivo es significativamente mayor es climas con estaciones que en climas secos, y a su vez mayor en climas humedos en comparacion con climas con estaciones y secos. El area sembrada en yuca es similar en suelos sin restricciones y en suelos acidos, y significativamente mayor para estos dos que para suelos restringidos. La alt. no afecto significativamente la distribution espacial de la yuca. La mayor importancia de la yuca en areas humedas es principalmente en funcion de la distribucion de la poblacion, que a su vez depende de los sistemas agricolas de estas areas, su intensidad relativa y las poblaciones que pueden sostener. Se discuten en detalle las limitaciones y las ventajas del modelo. (CIAT)

The value of a more thoughtful consideration of spatial variation in economic studies is demostrated through the construction of an explanatory model for cassava in Africa. The crop's distribution is related to some major features of the continent's physical and human geography. Factors quantified are proportion of land area devoted to the crop, length of the dry season, soil restriction, and density of the human population, among others. This model helps determine the spatial pattern of cassava production; spatial residuals are then identified from the model. The methodology followed to produce the model is explained in detail. The model itself suggests significant differences in the amount of cassava grown according to climatic and edaphic conditions; the crop, as a percentage of land area, is significantly greater in seasonal than in dry climates, and in humid climates compared with seasonal and dry climates. The area planted to cassava is similar for soils with no restrictions and acid soils, and significantly greater for those two than for restricted soils. Alt. had no significant effect of the spatial distribution of cassava. The greater importance of cassava in humid areas is mostly a function of the distribution of population, which in turn depends on the agricultural systems of these areas, their relative intensity, and the populations they are capable of supporting. The limitations and advantages of the model are discussed in detail. (CIAT)

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