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LUCTOR: Land Use Crop Technical Coefficient Generator; version 2.0; a model to quantify cropping systems in the Northern Atlantic zone of Costa Rica

by Hengsdijk, H; Nieuwenhuyse, A; Bouman, B.A.M.
Publisher: Jun 1998Subject(s): UTILIZACION DE LA TIERRA | SIMULACION | SISTEMAS DE PRODUCCION | SISTEMAS DE CULTIVO | PLANTAS PERENNES | PLANTACION FORESTAL | RENDIMIENTO | COSTOS DE PRODUCCION | MANO DE OBRA | NECESIDADES DE NUTRIENTES | ZONA ATLANTICA | COSTA RICA | LAND USE | SIMULATION | CROPPING SYSTEMS | PERENNIALS | FOREST PLANTATIONS | YIELDS | PRODUCTION COSTS | MANPOWER | NUTRITIONAL REQUIREMENTS | COSTA RICA | UTILISATION DES TERRES | SIMULATION | SYSTEME DE CULTURE | PLANTE PERENNE | PLANTATION FORESTIERE | RENDEMENT | COUT DE PRODUCTION | MAIN D'OEUVRE | BESOIN NUTRITIONNEL | COSTA RICA In: Quantitative Approaches in Systems Analysis - DLO Research Institute for Agrobiology and Soil Fertility (Países Bajos) (no. 17) 65 p. + Apéndices (30 p.)Summary: This report describes the model LUCTOR (Land Use Crop and Technology generatOR), version 2.0. LUCTOR quantifies cropping systems in terms of inputs and outputs (technical coefficients) for the Northern Atlantic zone of Costa Rica. Technical coefficients of cropping systems include production (yield in different quality classes), costs of production, labour requirements, nutrient requirements, required crop protection agents, implement requirements, and nutrient losses to the environment. The model is able to quantify technical coefficients of annual (maize, beans and cassava, pineapple), perennials (banana, plantain and palmheart) and plantation forestry (teak and melina). Cropping systems are characterised by so-called definition criteria that encompass environmental and management options. LUCTOR can quantify both actual cropping systems and alternative cropping systems. The later are technically feasible production systems not yet widely applied in the Northern Atlantic zone and characterised by an equilibrium nutrient balance. To quantify inputs and outputs of alternative land use activities the so-called 'target-oriented approach' has been applied which means that an optimal combination of inputs is identified to realise a particular output level, based on knowledge of (underlying) crop growth. Processes and relationships underlying the quantification of technical coefficients are based on (i) basic information on soils, climate, crops, crop protection agents and prices, (ii) systems analytical approaches, and (iii) quantified expert knowledge.
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This report describes the model LUCTOR (Land Use Crop and Technology generatOR), version 2.0. LUCTOR quantifies cropping systems in terms of inputs and outputs (technical coefficients) for the Northern Atlantic zone of Costa Rica. Technical coefficients of cropping systems include production (yield in different quality classes), costs of production, labour requirements, nutrient requirements, required crop protection agents, implement requirements, and nutrient losses to the environment. The model is able to quantify technical coefficients of annual (maize, beans and cassava, pineapple), perennials (banana, plantain and palmheart) and plantation forestry (teak and melina). Cropping systems are characterised by so-called definition criteria that encompass environmental and management options. LUCTOR can quantify both actual cropping systems and alternative cropping systems. The later are technically feasible production systems not yet widely applied in the Northern Atlantic zone and characterised by an equilibrium nutrient balance. To quantify inputs and outputs of alternative land use activities the so-called 'target-oriented approach' has been applied which means that an optimal combination of inputs is identified to realise a particular output level, based on knowledge of (underlying) crop growth. Processes and relationships underlying the quantification of technical coefficients are based on (i) basic information on soils, climate, crops, crop protection agents and prices, (ii) systems analytical approaches, and (iii) quantified expert knowledge.

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