UNA METODOLOGÍA PARA DETERMINAR EL RENDIMIENTO PROMEDIO DEL CULTIVO DE COCA EN BOLIVIA
Keywords:
Metodología, rendimiento, cultivo de coca, muestreo, cosechaAbstract
This paper synthesizes the construction of a methodology to determine the average yield of coca cultivation in Bolivia, using data from the Coca Crop Monitoring Reports in Bolivia, published annually by the United Nations Office on Drugs and Crime (UNODC). The proposed methodology aims to respond to the inconsistency of data on coca leaf production in recent years, mainly in the Yungas region of La Paz. On the one hand, it is considered that the underestimation of the production volume is due to the fact that the yield factors are outdated, and that there are new techniques in the management of coca cultivation, and on the other hand, it should be considered that the last study conducted to update the yield factors of this crop in the country was in 2010.
The proposal to determine the average yield is based on a complex methodology to obtain accurate results. The proposed sampling consists of two phases and three stages. The first phase corresponds to the collection of information in the wet season and the second phase to the dry season. In each of the phases the sampling is done in three stages, the first stage consists of randomly selecting a representative number of grids previously stratified by altitude, the second phase consists of selecting polygons or plots within the selected grids, in this case one plot per grid will be selected, finally the third phase consists of systematically selecting three segments of each plot, the yield is measured in each of these segments. The average yield of the dry coca crop is calculated by combining the average yields obtained in each of the phases, previously the data is paired to discriminate the information of the polygons intervened in the two phases. The methodology has been subjected to a pilot test and has been adapted and modified to the national reality, taking into account the characteristics and biophysical conditions of the coca producing regions.
Its application will make it possible to standardize yield data through a new methodology accepted and validated internationally.
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