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dc.contributor.author
Camino, Micaela
dc.contributor.author
Thompson, Jeffrey
dc.contributor.author
Andrade, Laura
dc.contributor.author
Cortez, Sara
dc.contributor.author
Matteucci, Silvia Diana
dc.contributor.author
Altrichter, Mariana
dc.date.available
2023-12-04T11:28:36Z
dc.date.issued
2020-04
dc.identifier.citation
Camino, Micaela; Thompson, Jeffrey; Andrade, Laura; Cortez, Sara; Matteucci, Silvia Diana; et al.; Using local ecological knowledge to improve large terrestrial mammal surveys, build local capacity and increase conservation opportunities; Elsevier; Biological Conservation; 244; 4-2020; 1-8
dc.identifier.issn
0006-3207
dc.identifier.uri
http://hdl.handle.net/11336/219142
dc.description.abstract
Field information is essential for developing conservation actions, but standard methods for surveying wildlife are often inefficient in large, remote areas. Without efficient methods, surveying is difficult or even impossible. Consequently, some of the most threatened species and regions remain un- or under-surveyed, e.g. South American Chaco. Survey methods based on local ecological knowledge (LEK-methods) could be useful for surveying these areas and species. However, LEK-methods may be inaccurate and are rarely evaluated or compared to standard-methods. This is the first large-scale study evaluating the performance of two LEK-methods, and comparing it with the performance of standard-methods, for detecting three species of large terrestrial mammals. We used a locally-based survey (LBS) and interviews as LEK-methods, and transect and camera trapping as standard survey methods. We estimated the probability of detecting each species with each method, of having false-presences and their cost. We also quantitatively analysed the ability of LBS to build local capacity, focusing on conservation, research and working skills. We found that compared to standard-methods, LEK-methods increase detection probabilities of three species while providing accurate information. LBSs are more expensive than interviews but improve local capacities, raising the chances of successful implementation of community-based conservation programmes. Interviews are optimal for rapid assessments and can be useful for wildlife monitoring. Before using LEK-methods, we recommend pilot studies to determine estimators´ variability. Overall, this study shows that LEK-based methods can be efficient and accurate for detecting large mammals in remote areas. Furthermore, LEK-methods can help develop legitimate conservation initiatives.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CAMERA TRAPS
dc.subject
CHACO
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INTERVIEWS
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LOCALLY-BASED SURVEY
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PECCARIES
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TRANSECTS
dc.subject.classification
Conservación de la Biodiversidad
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Using local ecological knowledge to improve large terrestrial mammal surveys, build local capacity and increase conservation opportunities
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-12-04T10:13:12Z
dc.journal.volume
244
dc.journal.pagination
1-8
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Camino, Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Centro de Ecología Aplicada del Litoral. Universidad Nacional del Nordeste. Centro de Ecología Aplicada del Litoral; Argentina. The Zoological Society of London; Reino Unido
dc.description.fil
Fil: Thompson, Jeffrey. No especifíca;
dc.description.fil
Fil: Andrade, Laura. No especifíca;
dc.description.fil
Fil: Cortez, Sara. No especifíca;
dc.description.fil
Fil: Matteucci, Silvia Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Arquitectura y Urbanismo. Grupo de Ecología del Paisaje y Medio Ambiente; Argentina
dc.description.fil
Fil: Altrichter, Mariana. No especifíca;
dc.journal.title
Biological Conservation
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0006320719314351
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.biocon.2020.108450
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