Estimación de la sustentabilidad de fincas productoras de arveja en el municipio de Ipiales, Nariño-Colombia

Agroecosystems present great heterogeneity in terms of practices and characteristics, since they depend on the logic of family farming, which makes them a potentially valuable resource when studying the use and support of the productive environment. For this reason, this research evaluated the pea s...

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Autores:
Sánchez, David Álvarez
Gómez-López, Eyder
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
Repositorio:
Repositorio Institucional UDCA
Idioma:
spa
OAI Identifier:
oai:repository.udca.edu.co:11158/3520
Acceso en línea:
https://revistas.udca.edu.co/index.php/ruadc/article/view/1578/1922
Palabra clave:
Pisum sativum L.
Agroecología
Agroecosistema
Pisum sativum L.
Indicadores
Agroecosistemas
Rights
openAccess
License
Derechos Reservados - Universidad de Ciencias Aplicadas y Ambientales
Description
Summary:Agroecosystems present great heterogeneity in terms of practices and characteristics, since they depend on the logic of family farming, which makes them a potentially valuable resource when studying the use and support of the productive environment. For this reason, this research evaluated the pea system (Pisum sativum L.) in the municipality of Ipiales, through a multidimensional methodology that uses 26 indicators grouped into four dimensions of agroecological sustainability. The estimation was made on 30 farms that represented three types of farmers previously described as C1, C2 and C3; the results allowed identifying the Critical Points of Sustainability (CPS) and the General Index of Sustainability (GIS) of the system. It was established that the different social, environmental, economic and technical-productive situations determine the existence of specific CPS, the GIS had a rating of 2.65 for C1, 2.90 for C2 and 2.62 for C3, this evidenced monitoring and management measures that should be discussed in the region to reduce the externalities generated by the production model.