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Spatial models of farms territories, policy instrument and climate change. Application in the Región Chorotega, Costa Rica. P119

Bonin Muriel, Le Coq Jean-François, Saenz Fernando. 2015. Spatial models of farms territories, policy instrument and climate change. Application in the Región Chorotega, Costa Rica. P119. In : Building tomorrow’s research agenda and bridging the science-policy gap. CIRAD, INRA, IRD, Agropolis International, Wageningen UR, CGIAR, UC Davis, FAO, Agreenium, GFAR. Montpellier : CIRAD-INRA, Résumé, 213. Climate Smart Agriculture 2015 : Global Science Conference. 3, Montpellier, France, 16 Mars 2015/18 Mars 2015.

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Résumé : References Climate mitigation and adaptation can be tackled at the landscape scale, combining agricultural and non-agricultural components, reduced deforestation, development of agro-forestry and integrated crop-livestock systems. The spatial distribution of land use could be critical to achieve both climate change issue and income generation and distribution. Should land be spared or shared to reach climate smart goals? To answer this research question, we analyze the impact of the Costa Rican program of recognition for environmental benefits (REB) on the layout of land use in farms located in the Chorotega Region (Northwestern Costa Rica) characterized by confronting environmental issues, such as recent forest recovery process, but land degradation and water scarcity. The Ministry of Agriculture has implemented the REB program from 2007. Extensive livestock is the main sub sector and area for REB use. We will discuss a development model of land sparing that would imply intensification of breeding to reduce the pressure on forest area. The "intensive grazing" (breeding with supply inputs) uses less space than the "extensive grazing" and could thus save space for forest regeneration. The technical model of intensive livestock may use a diet based on purchased inputs and improved pastures. A survey in 76 farms that participated to the REB program was carried out from February to May 2014. This survey enables to collect information related to the evolution of farms' activities and their location before and after their participation to REB. We process this information by using spatial methods (graphical modeling, Brunet, 1980 ; Cheylan et al. 1990), to identify patterns of land use distribution. Elementary spatial structures (" chorèmes " , Fig 1) are combined to form graphic models. The theorical model that we will discuss is presented with a model graphic in Fig 2. (Texte intégral)

Classification Agris : E11 - Economie et politique foncières
P01 - Conservation de la nature et ressources foncières
K01 - Foresterie - Considérations générales
K10 - Production forestière
P40 - Météorologie et climatologie

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Source : Cirad-Agritrop (https://agritrop.cirad.fr/576215/)

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