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Pontificia Universidad Católica del Perú (2022)

Cadena productiva del aceite de Palo Santo (Bursera graveolens) en los bosques secos de Piura

Manrique Enciso, Carla

Titre : Cadena productiva del aceite de Palo Santo (Bursera graveolens) en los bosques secos de Piura

Auteur : Manrique Enciso, Carla

Université de soutenance : Pontificia Universidad Católica del Perú

Grade : Magistra en Biocomercio y Desarrollo Sostenible 2022

Résumé
Dry forests have an ecosystem that is rich in biological resources, they are one of the most threatened ecosystems in the world, they have severe weather conditions that are resistant to high temperatures and prolonged drought seasons, which means that only some often endemic species can inhabit in this ecosystem droughts, making them an ecosystem possibly resistant to climate change, in addition, which these species are used by several low-resource families, their resources are used by several families that inhabit these low resource forests. One of the main species of dry forests is the Palo Santo, which has various medicinal properties. Palo santo is exported in different presentations, among which is the essential oil used in the pharmaceutical, cosmetic, food and aromatherapy industries. The essential oil of palo santo is a product with added value from BioTrade with added value that allows the use of raw materials in a sustainable way. This research makes it possible to analyze the Palo Santo oil value chain in Piura and determine if it has actors that comply with the BioTrade principles and the value chain and ecosystem approaches, using the qualitative methodology with interviews with the main actors in the chain. and quantitative through a bibliographic search of the palo santo trade. In addition, an analysis of the indicators of BioTrade principles was carried out with the SWOT tools and a compliance matrix. It is concluded that the value chain model of palo santo oil analyzed in this research work complies with most of the principles of Biotrade, however, there are other models with critical points that need to be resolved so that they can accomplish with these principles.

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Page publiée le 7 novembre 2022