Examining Private Landowners’ Knowledge Systems for an Invasive Species

Autores
Santo, Anna R.; Guillozet, Kathleen; Sorice, Michael G.; Baird, Timothy D.; Gray, Steven; Donlan, C. Josh; Anderson, Christopher Brian
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Shared ecological knowledge about the impacts of biological invasions can facilitate the collective action necessary to achieve desired management outcomes. Since its introduction to an island archipelago in South America, the North American beaver has caused major changes to the ecosystem. We examined landowners’ mental models of how beavers impact ecosystem services in riparian areas to understand the potential to implement a large-scale eradication program. We used ethnographic interviews to characterize individual landowners’ perceptions about beaver-caused changes to ecosystems and landowners’ wellbeing, and examined the degree to which they are shared. While the eradication initiative focuses on ecosystem integrity, landowners considered impacts on provisioning services to be most salient. Landowners did not have a highly shared causal model of beaver impacts, which indicates a diverse knowledge system. This lack of consensus on how beavers impact riparian areas provides some optimism for garnering support for eradication, and also offers insights into challenges with mental modeling methodologies.
Fil: Santo, Anna R.. Virginia Tech University; Estados Unidos
Fil: Guillozet, Kathleen. Virginia Tech University; Estados Unidos
Fil: Sorice, Michael G.. Virginia Tech University; Estados Unidos
Fil: Baird, Timothy D.. Virginia Tech University; Estados Unidos
Fil: Gray, Steven. Michigan State University; Estados Unidos
Fil: Donlan, C. Josh. Ong Advanced Conservation Strategies; Estados Unidos
Fil: Anderson, Christopher Brian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Materia
Concept Mapping
Local Ecological Knowledge
Mental Models
Network Analysis
North American Beaver (Castor Canadensis)
Private Lands
Tierra del Fuego
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/64026
Acceder
id CONICETDig_64f6bddcfe8aec86fb3387a1ca813fec
oai_identifier_str oai:ri.conicet.gov.ar:11336/64026
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Examining Private Landowners’ Knowledge Systems for an Invasive SpeciesSanto, Anna R.Guillozet, KathleenSorice, Michael G.Baird, Timothy D.Gray, StevenDonlan, C. JoshAnderson, Christopher BrianConcept MappingLocal Ecological KnowledgeMental ModelsNetwork AnalysisNorth American Beaver (Castor Canadensis)Private LandsTierra del Fuegohttps://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5Shared ecological knowledge about the impacts of biological invasions can facilitate the collective action necessary to achieve desired management outcomes. Since its introduction to an island archipelago in South America, the North American beaver has caused major changes to the ecosystem. We examined landowners’ mental models of how beavers impact ecosystem services in riparian areas to understand the potential to implement a large-scale eradication program. We used ethnographic interviews to characterize individual landowners’ perceptions about beaver-caused changes to ecosystems and landowners’ wellbeing, and examined the degree to which they are shared. While the eradication initiative focuses on ecosystem integrity, landowners considered impacts on provisioning services to be most salient. Landowners did not have a highly shared causal model of beaver impacts, which indicates a diverse knowledge system. This lack of consensus on how beavers impact riparian areas provides some optimism for garnering support for eradication, and also offers insights into challenges with mental modeling methodologies.Fil: Santo, Anna R.. Virginia Tech University; Estados UnidosFil: Guillozet, Kathleen. Virginia Tech University; Estados UnidosFil: Sorice, Michael G.. Virginia Tech University; Estados UnidosFil: Baird, Timothy D.. Virginia Tech University; Estados UnidosFil: Gray, Steven. Michigan State University; Estados UnidosFil: Donlan, C. Josh. Ong Advanced Conservation Strategies; Estados UnidosFil: Anderson, Christopher Brian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaSpringer2017-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/64026Santo, Anna R.; Guillozet, Kathleen; Sorice, Michael G.; Baird, Timothy D.; Gray, Steven; et al.; Examining Private Landowners’ Knowledge Systems for an Invasive Species; Springer; Human Ecology; 45; 4; 8-2017; 449-4620300-7839CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s10745-017-9920-7info:eu-repo/semantics/altIdentifier/doi/10.1007/s10745-017-9920-7info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:47:16Zoai:ri.conicet.gov.ar:11336/64026instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:47:16.531CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Examining Private Landowners’ Knowledge Systems for an Invasive Species
title Examining Private Landowners’ Knowledge Systems for an Invasive Species
spellingShingle Examining Private Landowners’ Knowledge Systems for an Invasive Species
Santo, Anna R.
Concept Mapping
Local Ecological Knowledge
Mental Models
Network Analysis
North American Beaver (Castor Canadensis)
Private Lands
Tierra del Fuego
title_short Examining Private Landowners’ Knowledge Systems for an Invasive Species
title_full Examining Private Landowners’ Knowledge Systems for an Invasive Species
title_fullStr Examining Private Landowners’ Knowledge Systems for an Invasive Species
title_full_unstemmed Examining Private Landowners’ Knowledge Systems for an Invasive Species
title_sort Examining Private Landowners’ Knowledge Systems for an Invasive Species
dc.creator.none.fl_str_mv Santo, Anna R.
Guillozet, Kathleen
Sorice, Michael G.
Baird, Timothy D.
Gray, Steven
Donlan, C. Josh
Anderson, Christopher Brian
author Santo, Anna R.
author_facet Santo, Anna R.
Guillozet, Kathleen
Sorice, Michael G.
Baird, Timothy D.
Gray, Steven
Donlan, C. Josh
Anderson, Christopher Brian
author_role author
author2 Guillozet, Kathleen
Sorice, Michael G.
Baird, Timothy D.
Gray, Steven
Donlan, C. Josh
Anderson, Christopher Brian
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Concept Mapping
Local Ecological Knowledge
Mental Models
Network Analysis
North American Beaver (Castor Canadensis)
Private Lands
Tierra del Fuego
topic Concept Mapping
Local Ecological Knowledge
Mental Models
Network Analysis
North American Beaver (Castor Canadensis)
Private Lands
Tierra del Fuego
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.9
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Shared ecological knowledge about the impacts of biological invasions can facilitate the collective action necessary to achieve desired management outcomes. Since its introduction to an island archipelago in South America, the North American beaver has caused major changes to the ecosystem. We examined landowners’ mental models of how beavers impact ecosystem services in riparian areas to understand the potential to implement a large-scale eradication program. We used ethnographic interviews to characterize individual landowners’ perceptions about beaver-caused changes to ecosystems and landowners’ wellbeing, and examined the degree to which they are shared. While the eradication initiative focuses on ecosystem integrity, landowners considered impacts on provisioning services to be most salient. Landowners did not have a highly shared causal model of beaver impacts, which indicates a diverse knowledge system. This lack of consensus on how beavers impact riparian areas provides some optimism for garnering support for eradication, and also offers insights into challenges with mental modeling methodologies.
Fil: Santo, Anna R.. Virginia Tech University; Estados Unidos
Fil: Guillozet, Kathleen. Virginia Tech University; Estados Unidos
Fil: Sorice, Michael G.. Virginia Tech University; Estados Unidos
Fil: Baird, Timothy D.. Virginia Tech University; Estados Unidos
Fil: Gray, Steven. Michigan State University; Estados Unidos
Fil: Donlan, C. Josh. Ong Advanced Conservation Strategies; Estados Unidos
Fil: Anderson, Christopher Brian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
description Shared ecological knowledge about the impacts of biological invasions can facilitate the collective action necessary to achieve desired management outcomes. Since its introduction to an island archipelago in South America, the North American beaver has caused major changes to the ecosystem. We examined landowners’ mental models of how beavers impact ecosystem services in riparian areas to understand the potential to implement a large-scale eradication program. We used ethnographic interviews to characterize individual landowners’ perceptions about beaver-caused changes to ecosystems and landowners’ wellbeing, and examined the degree to which they are shared. While the eradication initiative focuses on ecosystem integrity, landowners considered impacts on provisioning services to be most salient. Landowners did not have a highly shared causal model of beaver impacts, which indicates a diverse knowledge system. This lack of consensus on how beavers impact riparian areas provides some optimism for garnering support for eradication, and also offers insights into challenges with mental modeling methodologies.
publishDate 2017
dc.date.none.fl_str_mv 2017-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/64026
Santo, Anna R.; Guillozet, Kathleen; Sorice, Michael G.; Baird, Timothy D.; Gray, Steven; et al.; Examining Private Landowners’ Knowledge Systems for an Invasive Species; Springer; Human Ecology; 45; 4; 8-2017; 449-462
0300-7839
CONICET Digital
CONICET
url http://hdl.handle.net/11336/64026
identifier_str_mv Santo, Anna R.; Guillozet, Kathleen; Sorice, Michael G.; Baird, Timothy D.; Gray, Steven; et al.; Examining Private Landowners’ Knowledge Systems for an Invasive Species; Springer; Human Ecology; 45; 4; 8-2017; 449-462
0300-7839
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s10745-017-9920-7
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10745-017-9920-7
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782177685012480
score 12.982451

Publicaciones similares