Evaluación de impacto del pago por servicios ambientales a través de un índice de ecoeficiencia en fincas ganaderas en la cuenca del río La Vieja, Quindío y Valle del Cauca, Colombia

Evaluación de impacto del pago por servicios ambientales a través de un índice de ecoeficiencia en fincas ganaderas en la cuenca del río La Vieja, Quindío y Valle del Cauca, Colombia

2017 | Antonio José Solarte Sánchez
This study evaluates the impact of payment for environmental services (PES) through an eco-efficiency index on cattle farms in the La Vieja river basin, Quindío, and Valle del Cauca, Colombia. The research focuses on the effectiveness of livestock conversion through ecosystem services (ES) indicators at various scales. ES indicators of carbon storage and biodiversity conservation were analyzed for 104 farms participating in a PES project. A sample of 20 farms was selected based on cluster analysis typologies, and synthetic ES indices related to soil quality, landscape changes, and a socio-economic indicator were constructed and evaluated using multivariate statistical procedures. The soil index, evaluated in 2003, showed better quality in the silvopastoral systems (SSP). The landscape index showed a high correlation with ES of biodiversity and carbon. Finally, an approach to eco-efficiency was made by integrating different indices and indicators, and comparing typologies, finding better performance in farms with higher SE values of carbon, biodiversity, and landscape. The study contributes to the development of sustainable livestock practices and the conservation of ecosystems in the region.This study evaluates the impact of payment for environmental services (PES) through an eco-efficiency index on cattle farms in the La Vieja river basin, Quindío, and Valle del Cauca, Colombia. The research focuses on the effectiveness of livestock conversion through ecosystem services (ES) indicators at various scales. ES indicators of carbon storage and biodiversity conservation were analyzed for 104 farms participating in a PES project. A sample of 20 farms was selected based on cluster analysis typologies, and synthetic ES indices related to soil quality, landscape changes, and a socio-economic indicator were constructed and evaluated using multivariate statistical procedures. The soil index, evaluated in 2003, showed better quality in the silvopastoral systems (SSP). The landscape index showed a high correlation with ES of biodiversity and carbon. Finally, an approach to eco-efficiency was made by integrating different indices and indicators, and comparing typologies, finding better performance in farms with higher SE values of carbon, biodiversity, and landscape. The study contributes to the development of sustainable livestock practices and the conservation of ecosystems in the region.
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