Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management

Background. Precision Livestock Farming (PLF) is a promising approach to minimize the conflicts between socio-economic activities and landscape conservation. However, its application on extensive systems of livestock production can be challenging. The main difficulties arise because animals graze on...

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Detalhes bibliográficos
Autores: Di Virgilio, Agustina Soledad, Morales, Juan Manuel, Lambertucci, Sergio Agustin, Shepard, Emily L.C., Wilson, Rory P.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/91088
Acesso em linha:http://hdl.handle.net/11336/91088
Access Level:acceso abierto
Palavra-chave:HUMAN-WILDLIFE CONFLICTS
PRECISION LIVESTOCK FARMING
RANGELAND CONSERVATION
SPATIAL-MULTI-SENSOR APPROACH
SUSTAINABLE LIVESTOCK MANAGEMENT
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
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oai_identifier_str oai:ri.conicet.gov.ar:11336/91088
network_acronym_str AR
network_name_str Argentina
repository_id_str
dc.title.none.fl_str_mv Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
title Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
spellingShingle Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
Di Virgilio, Agustina Soledad
HUMAN-WILDLIFE CONFLICTS
PRECISION LIVESTOCK FARMING
RANGELAND CONSERVATION
SPATIAL-MULTI-SENSOR APPROACH
SUSTAINABLE LIVESTOCK MANAGEMENT
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
title_short Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
title_full Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
title_fullStr Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
title_full_unstemmed Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
title_sort Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management
dc.creator.none.fl_str_mv Di Virgilio, Agustina Soledad
Morales, Juan Manuel
Lambertucci, Sergio Agustin
Shepard, Emily L.C.
Wilson, Rory P.
author Di Virgilio, Agustina Soledad
author_facet Di Virgilio, Agustina Soledad
Morales, Juan Manuel
Lambertucci, Sergio Agustin
Shepard, Emily L.C.
Wilson, Rory P.
author_role author
author2 Morales, Juan Manuel
Lambertucci, Sergio Agustin
Shepard, Emily L.C.
Wilson, Rory P.
author2_role author
author
author
author
dc.subject.none.fl_str_mv HUMAN-WILDLIFE CONFLICTS
PRECISION LIVESTOCK FARMING
RANGELAND CONSERVATION
SPATIAL-MULTI-SENSOR APPROACH
SUSTAINABLE LIVESTOCK MANAGEMENT
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
topic HUMAN-WILDLIFE CONFLICTS
PRECISION LIVESTOCK FARMING
RANGELAND CONSERVATION
SPATIAL-MULTI-SENSOR APPROACH
SUSTAINABLE LIVESTOCK MANAGEMENT
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
description Background. Precision Livestock Farming (PLF) is a promising approach to minimize the conflicts between socio-economic activities and landscape conservation. However, its application on extensive systems of livestock production can be challenging. The main difficulties arise because animals graze on large natural pastures where they are exposed to competition with wild herbivores for heterogeneous and scarce resources, predation risk, adverse weather, and complex topography. Considering that the 91% of the world's surface devoted to livestock production is composed of extensive systems (i.e., rangelands), our general aim was to develop a PLF methodology that quantifies: (i) detailed behavioural patterns, (ii) feeding rate, and (iii) costs associated with different behaviours and landscape traits. Methods. For this, we used Merino sheep in Patagonian rangelands as a case study. We combined data from an animal-attached multi-sensor tag (tri-axial acceleration, tri-axial magnetometry, temperature sensor and Global Positioning System) with landscape layers from a Geographical Information System to acquire data. Then, we used high accuracy decision trees, dead reckoning methods and spatial data processing techniques to show how this combination of tools could be used to assess energy balance, predation risk and competition experienced by livestock through time and space. Results. The combination of methods proposed here are a useful tool to assess livestock behaviour and the different factors that influence extensive livestock production, such as topography, environmental temperature, predation risk and competition for heterogeneous resources. We were able to quantify feeding rate continuously through time and space with high accuracy and show how it could be used to estimate animal production and the intensity of grazing on the landscape. We also assessed the effects of resource heterogeneity (inferred through search times), and the potential costs associated with predation risk, competition, thermoregulation and movement on complex topography. Discussion. The quantification of feeding rate and behavioural costs provided by our approach could be used to estimate energy balance and to predict individual growth, survival and reproduction. Finally, we discussed how the information provided by this combination of methods can be used to develop wildlife-friendly strategies that also maximize animal welfare, quality and environmental sustainability.
publishDate 2018
dc.date.none.fl_str_mv 2018-05-30
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/11336/91088
Di Virgilio, Agustina Soledad; Morales, Juan Manuel; Lambertucci, Sergio Agustin; Shepard, Emily L.C.; Wilson, Rory P.; Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management; PeerJ; PeerJ; 2018; 5; 30-5-2018; 1-23
2167-8359
CONICET Digital
CONICET
url http://hdl.handle.net/11336/91088
identifier_str_mv Di Virgilio, Agustina Soledad; Morales, Juan Manuel; Lambertucci, Sergio Agustin; Shepard, Emily L.C.; Wilson, Rory P.; Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management; PeerJ; PeerJ; 2018; 5; 30-5-2018; 1-23
2167-8359
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://peerj.com/articles/4867/
info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.4867
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv PeerJ
publisher.none.fl_str_mv PeerJ
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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
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spelling Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland managementDi Virgilio, Agustina SoledadMorales, Juan ManuelLambertucci, Sergio AgustinShepard, Emily L.C.Wilson, Rory P.HUMAN-WILDLIFE CONFLICTSPRECISION LIVESTOCK FARMINGRANGELAND CONSERVATIONSPATIAL-MULTI-SENSOR APPROACHSUSTAINABLE LIVESTOCK MANAGEMENThttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Background. Precision Livestock Farming (PLF) is a promising approach to minimize the conflicts between socio-economic activities and landscape conservation. However, its application on extensive systems of livestock production can be challenging. The main difficulties arise because animals graze on large natural pastures where they are exposed to competition with wild herbivores for heterogeneous and scarce resources, predation risk, adverse weather, and complex topography. Considering that the 91% of the world's surface devoted to livestock production is composed of extensive systems (i.e., rangelands), our general aim was to develop a PLF methodology that quantifies: (i) detailed behavioural patterns, (ii) feeding rate, and (iii) costs associated with different behaviours and landscape traits. Methods. For this, we used Merino sheep in Patagonian rangelands as a case study. We combined data from an animal-attached multi-sensor tag (tri-axial acceleration, tri-axial magnetometry, temperature sensor and Global Positioning System) with landscape layers from a Geographical Information System to acquire data. Then, we used high accuracy decision trees, dead reckoning methods and spatial data processing techniques to show how this combination of tools could be used to assess energy balance, predation risk and competition experienced by livestock through time and space. Results. The combination of methods proposed here are a useful tool to assess livestock behaviour and the different factors that influence extensive livestock production, such as topography, environmental temperature, predation risk and competition for heterogeneous resources. We were able to quantify feeding rate continuously through time and space with high accuracy and show how it could be used to estimate animal production and the intensity of grazing on the landscape. We also assessed the effects of resource heterogeneity (inferred through search times), and the potential costs associated with predation risk, competition, thermoregulation and movement on complex topography. Discussion. The quantification of feeding rate and behavioural costs provided by our approach could be used to estimate energy balance and to predict individual growth, survival and reproduction. Finally, we discussed how the information provided by this combination of methods can be used to develop wildlife-friendly strategies that also maximize animal welfare, quality and environmental sustainability.Fil: Di Virgilio, Agustina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Morales, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Lambertucci, Sergio Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Shepard, Emily L.C.. Swansea University; Reino UnidoFil: Wilson, Rory P.. Swansea University; Reino UnidoPeerJ2018-05-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/91088Di Virgilio, Agustina Soledad; Morales, Juan Manuel; Lambertucci, Sergio Agustin; Shepard, Emily L.C.; Wilson, Rory P.; Multi-dimensional Precision Livestock Farming: A potential toolbox for sustainable rangeland management; PeerJ; PeerJ; 2018; 5; 30-5-2018; 1-232167-8359CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://peerj.com/articles/4867/info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.4867info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:08:23Zoai:ri.conicet.gov.ar:11336/91088instacron: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:34982024-05-08 14:08:23.86CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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