Alpaca herders: Vulnerability, adaptability and sensitivity to climate change
Descripción del Articulo
The objective of this study was to develop an index of vulnerability of alpaca herders (VAH), based on the adaptive capacity index (ACI) and sensitivity (SI) to climate change herders. The study was carried out in 2014 obtaining information from 17 alpaca farms from five annexes of the Sallca Santa...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
Lenguaje: | español |
OAI Identifier: | oai:ojs.csi.unmsm:article/20396 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/20396 |
Nivel de acceso: | acceso abierto |
Materia: | vulnerability adaptive capacity sensitivity climate change alpaca herders fuzzy logics vulnerabilidad capacidad adaptativa sensibilidad cambio climático pastor alpaquero lógica difusa |
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Revistas - Universidad Nacional Mayor de San Marcos |
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dc.title.none.fl_str_mv |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change Pastores alpaqueros: Vulnerabilidad, adaptabilidad y sensibilidad al cambio climático |
title |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change |
spellingShingle |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change Barrantes Campos, Cecilio Antonio vulnerability adaptive capacity sensitivity climate change alpaca herders fuzzy logics vulnerabilidad capacidad adaptativa sensibilidad cambio climático pastor alpaquero lógica difusa |
title_short |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change |
title_full |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change |
title_fullStr |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change |
title_full_unstemmed |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change |
title_sort |
Alpaca herders: Vulnerability, adaptability and sensitivity to climate change |
dc.creator.none.fl_str_mv |
Barrantes Campos, Cecilio Antonio Flores Mariazza, Enrique Ricardo Ricardo Ñaupari Vásquez, Javier Arturo Barrantes Campos, Cecilio Antonio Flores Mariazza, Enrique Ricardo Ricardo Ñaupari Vásquez, Javier Arturo |
author |
Barrantes Campos, Cecilio Antonio |
author_facet |
Barrantes Campos, Cecilio Antonio Flores Mariazza, Enrique Ricardo Ricardo Ñaupari Vásquez, Javier Arturo |
author_role |
author |
author2 |
Flores Mariazza, Enrique Ricardo Ricardo Ñaupari Vásquez, Javier Arturo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
vulnerability adaptive capacity sensitivity climate change alpaca herders fuzzy logics vulnerabilidad capacidad adaptativa sensibilidad cambio climático pastor alpaquero lógica difusa |
topic |
vulnerability adaptive capacity sensitivity climate change alpaca herders fuzzy logics vulnerabilidad capacidad adaptativa sensibilidad cambio climático pastor alpaquero lógica difusa |
description |
The objective of this study was to develop an index of vulnerability of alpaca herders (VAH), based on the adaptive capacity index (ACI) and sensitivity (SI) to climate change herders. The study was carried out in 2014 obtaining information from 17 alpaca farms from five annexes of the Sallca Santa Ana Peasant Community (SSAPC), Huancavelica, Peru. A conceptual model of ACI and SI was generated, assigning weights and function values to sources and attributes. For this, an Expert Panel from La Molina National Agrarian University (UNALM) and Nexus Program of the Fulbrigth Commission, USA, was formed. The ACI was estimated from human, physical, financial, information and diversity resources. The SI with livelihood and grassland resources. The VAH was estimated with the combination of ACI and SI, using fuzzy logic obtaining three categories: low, moderate and high. The U Mann-Whitney test contrasted 31 attributes of ACI and SI among the VAH categories. The 58.8% of SSAPC alpaca farms have low (0.2986 ± 0.0134) and 41.2% moderate (0.3800 ± 0.0069) of ACI. The 52.9% of alpaca farms have high (0.5863 ± 0.0277), 35.3% moderate (0.4053 ± 0.0122) and 11.8% low (0.2994 ± 0.0107) of SI. The 76.5% of alpaca farms have moderate (0.4390 ± 0.0208) and 23.5% high (0.6605 ± 0.0266) of VAH. The attributes of head of household and presence of sheds differed significantly between ACI categories (p<0.15). The attributes grassland trend (p<0.01), migrant contribution and vegetation diversity (p<0.10) and grassland condition (p<0.15) differed significantly between SI categories. The VAH revealed that the alpaca farms with high vulnerability correspond to a high SI (>0.47) and low ACI (<0.35). Instead, the alpaca farms with moderate vulnerability present an ACI and SI moderate (0.35-0.47). Both cases are adjusted to the results of other vulnerability indices at the producer level. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-23 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/20396 10.15381/rivep.v32i3.20396 |
url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/20396 |
identifier_str_mv |
10.15381/rivep.v32i3.20396 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/20396/16805 |
dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria |
publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria |
dc.source.none.fl_str_mv |
Revista de Investigaciones Veterinarias del Perú; Vol. 32 Núm. 3 (2021); e20396 Revista de Investigaciones Veterinarias del Perú; Vol. 32 No. 3 (2021); e20396 1682-3419 1609-9117 reponame:Revistas - Universidad Nacional Mayor de San Marcos instname:Universidad Nacional Mayor de San Marcos instacron:UNMSM |
instname_str |
Universidad Nacional Mayor de San Marcos |
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UNMSM |
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UNMSM |
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Revistas - Universidad Nacional Mayor de San Marcos |
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Revistas - Universidad Nacional Mayor de San Marcos |
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1795238235365965824 |
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Alpaca herders: Vulnerability, adaptability and sensitivity to climate changePastores alpaqueros: Vulnerabilidad, adaptabilidad y sensibilidad al cambio climáticoBarrantes Campos, Cecilio AntonioFlores Mariazza, Enrique Ricardo RicardoÑaupari Vásquez, Javier ArturoBarrantes Campos, Cecilio AntonioFlores Mariazza, Enrique Ricardo RicardoÑaupari Vásquez, Javier Arturovulnerabilityadaptive capacitysensitivityclimate changealpaca herdersfuzzy logicsvulnerabilidadcapacidad adaptativasensibilidadcambio climáticopastor alpaquerológica difusaThe objective of this study was to develop an index of vulnerability of alpaca herders (VAH), based on the adaptive capacity index (ACI) and sensitivity (SI) to climate change herders. The study was carried out in 2014 obtaining information from 17 alpaca farms from five annexes of the Sallca Santa Ana Peasant Community (SSAPC), Huancavelica, Peru. A conceptual model of ACI and SI was generated, assigning weights and function values to sources and attributes. For this, an Expert Panel from La Molina National Agrarian University (UNALM) and Nexus Program of the Fulbrigth Commission, USA, was formed. The ACI was estimated from human, physical, financial, information and diversity resources. The SI with livelihood and grassland resources. The VAH was estimated with the combination of ACI and SI, using fuzzy logic obtaining three categories: low, moderate and high. The U Mann-Whitney test contrasted 31 attributes of ACI and SI among the VAH categories. The 58.8% of SSAPC alpaca farms have low (0.2986 ± 0.0134) and 41.2% moderate (0.3800 ± 0.0069) of ACI. The 52.9% of alpaca farms have high (0.5863 ± 0.0277), 35.3% moderate (0.4053 ± 0.0122) and 11.8% low (0.2994 ± 0.0107) of SI. The 76.5% of alpaca farms have moderate (0.4390 ± 0.0208) and 23.5% high (0.6605 ± 0.0266) of VAH. The attributes of head of household and presence of sheds differed significantly between ACI categories (p<0.15). The attributes grassland trend (p<0.01), migrant contribution and vegetation diversity (p<0.10) and grassland condition (p<0.15) differed significantly between SI categories. The VAH revealed that the alpaca farms with high vulnerability correspond to a high SI (>0.47) and low ACI (<0.35). Instead, the alpaca farms with moderate vulnerability present an ACI and SI moderate (0.35-0.47). Both cases are adjusted to the results of other vulnerability indices at the producer level.El objetivo fue desarrollar un índice de vulnerabilidad del productor alpaquero (VPA) en función al índice de capacidad adaptativa (ICA) y sensibilidad (IS) al cambio climático. El estudio se realizó en 2014, obteniéndose información de 17 estancias alpaqueras de cinco anexos de la Comunidad Campesina Sallca Santa Ana (CCSSA), Huancavelica, Perú. Se generó un modelo conceptual de los ICA e IS, asignándoles pesos y valores de función a los recursos y atributos. Para ello, se formó un Panel Experto de la Universidad Nacional Agraria La Molina (UNALM) y Programa Nexus de la Comisión Fulbrigth, EEUU. El ICA se estimó de los recursos humanos, físicos, financieros, información y diversidad. El IS con los recursos medios de vida y pastizal. El VPA se estimó con la combinación del ICA e IS, utilizando lógica difusa obteniendo tres categorías: baja, media y alta. La prueba U Mann-Whitney contrastó 31 atributos de ICA e IS entre las categorías del VPA. El 58.8% de estancias de CCSSA tienen baja (0.2986 ± 0.0134) y 41.2% media (0.3800 ± 0.0069) ICA. El 52.9% de estancias tienen alta (0.5863 ± 0.0277), 35.3% media (0.4053 ± 0.0122) y 11.8% baja (0.2994 ± 0.0107) IS. El 76.5% de estancias tienen media (0.4390 ± 0.0208) y 23.5% alta (0.6605 ± 0.0266) VPA. Los atributos de jefe de familia y presencia de cobertizos difirieron significativamente entre categorías del ICA (p<0.15). Los atributos tendencia de pastizal (p<0.01), aporte del migrante y diversidad de vegetación (p<0.10), y condición de pastizal (p<0.15) difirieron significativamente entre categorías del IS. El VPA reveló que las estancias con alta vulnerabilidad le corresponden un alto IS (>0.47) y bajo ICA (<0.35). En cambio, las estancias con media vulnerabilidad presentan medio ICA e IS (0.35-0.47). Ambos casos, se ajustan a los resultados de otros índices de vulnerabilidad a nivel de productor.Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria2021-06-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/2039610.15381/rivep.v32i3.20396Revista de Investigaciones Veterinarias del Perú; Vol. 32 Núm. 3 (2021); e20396Revista de Investigaciones Veterinarias del Perú; Vol. 32 No. 3 (2021); e203961682-34191609-9117reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/veterinaria/article/view/20396/16805Derechos de autor 2021 Cecilio Antonio Barrantes Campos, Enrique Ricardo Ricardo Flores Mariazza, Javier Arturo Ñaupari Vásquezhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/203962021-06-30T16:38:19Z |
score |
13.949868 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).