Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands

Autores
Molnár, Zsolt; Kelemen, András; Kun, Róbert; Máté, János; Sáfián, László; Provenza, Fred; Díaz, Sandra Myrna; Barani, Hossein; Biró, Marianna; Máté, András; Vadász, Csaba
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The research gap between rangeland/livestock science and conservation biology/vegetation ecology has led to a lack of evidence needed for grazing-related conservation management. Connecting scientific understanding with traditional ecological knowledge of local livestock keepers could help bridge this research and knowledge gap. We studied the grazing behaviour (plant selection and avoidance) of beef cattle (c. 33,000 bites) on species-rich lowland pastures in Central Europe and traditional herding practices. We also did >450 outdoor interviews with traditional herders about livestock behaviour, herders' decisions to modify grazing behaviour and effects of modified grazing on pasture vegetation. We found that cattle grazing on species-rich pastures displayed at least 10 different behavioural elements as they encountered 117 forage species from highly desired to rejected. The small discrimination error suggests that cattle recognize all listed plants ‘by species’. We also found that herders had broad knowledge of grazing desire and they consciously aimed to modify desire by slowing, stopping or redirecting the herd. Modifications were aimed at increasing grazing intensity in less-desired patches and decreasing grazing selectivity in heterogenous swards. Synthesis and applications. The traditional herd management practices presented here have significant conservation benefits, such as avoiding under- and overgrazing, and targeted removal of pasture weeds, litter and encroaching bushes, tall competitive plants and invasive species. We argue that knowledge co-production with traditional herders who belong to another knowledge system could help connect isolated scientific disciplines especially if ecologists and rangeland scientists work closely with traditional herders, co-designing research projects and working together in data collection, analysis and interpretation. Stronger links between these disciplines could help develop evidence-based, specific conservation management practices while herders could contribute with their practical experiences and with real-world testing of new management techniques.
Fil: Molnár, Zsolt. Institute of Ecology and Botany; Hungría
Fil: Kelemen, András. Institute of Ecology and Botany; Hungría
Fil: Kun, Róbert. Szent István University. Department of Nature Conservation and Landscape Ecology; Hungría
Fil: Máté, János. Cattle Herder, Tatárszentgyörgy; Hungría
Fil: Sáfián, László. Cattle Herder, Tatárszentgyörgy; Hungría
Fil: Provenza, Fred. University of Utah; Estados Unidos
Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
Fil: Barani, Hossein. Gorgan University of Agricultural Sciences and Natural Resources; Irán
Fil: Biró, Marianna. GINOP Sustainable Ecosystems Group; Hungría
Fil: Máté, András. Dorcadion Kft; Hungría
Fil: Vadász, Csaba. Kiskunság National Park; Hungría
Materia
ADAPTIVE MANAGEMENT
CONSERVATION GRAZING
FORAGE PREFERENCE
KNOWLEDGE SYSTEMS
RANGELAND
TRADITIONAL ECOLOGICAL KNOWLEDGE
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:11336/137881

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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslandsMolnár, ZsoltKelemen, AndrásKun, RóbertMáté, JánosSáfián, LászlóProvenza, FredDíaz, Sandra MyrnaBarani, HosseinBiró, MariannaMáté, AndrásVadász, CsabaADAPTIVE MANAGEMENTCONSERVATION GRAZINGFORAGE PREFERENCEKNOWLEDGE SYSTEMSRANGELANDTRADITIONAL ECOLOGICAL KNOWLEDGEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The research gap between rangeland/livestock science and conservation biology/vegetation ecology has led to a lack of evidence needed for grazing-related conservation management. Connecting scientific understanding with traditional ecological knowledge of local livestock keepers could help bridge this research and knowledge gap. We studied the grazing behaviour (plant selection and avoidance) of beef cattle (c. 33,000 bites) on species-rich lowland pastures in Central Europe and traditional herding practices. We also did >450 outdoor interviews with traditional herders about livestock behaviour, herders' decisions to modify grazing behaviour and effects of modified grazing on pasture vegetation. We found that cattle grazing on species-rich pastures displayed at least 10 different behavioural elements as they encountered 117 forage species from highly desired to rejected. The small discrimination error suggests that cattle recognize all listed plants ‘by species’. We also found that herders had broad knowledge of grazing desire and they consciously aimed to modify desire by slowing, stopping or redirecting the herd. Modifications were aimed at increasing grazing intensity in less-desired patches and decreasing grazing selectivity in heterogenous swards. Synthesis and applications. The traditional herd management practices presented here have significant conservation benefits, such as avoiding under- and overgrazing, and targeted removal of pasture weeds, litter and encroaching bushes, tall competitive plants and invasive species. We argue that knowledge co-production with traditional herders who belong to another knowledge system could help connect isolated scientific disciplines especially if ecologists and rangeland scientists work closely with traditional herders, co-designing research projects and working together in data collection, analysis and interpretation. Stronger links between these disciplines could help develop evidence-based, specific conservation management practices while herders could contribute with their practical experiences and with real-world testing of new management techniques.Fil: Molnár, Zsolt. Institute of Ecology and Botany; HungríaFil: Kelemen, András. Institute of Ecology and Botany; HungríaFil: Kun, Róbert. Szent István University. Department of Nature Conservation and Landscape Ecology; HungríaFil: Máté, János. Cattle Herder, Tatárszentgyörgy; HungríaFil: Sáfián, László. Cattle Herder, Tatárszentgyörgy; HungríaFil: Provenza, Fred. University of Utah; Estados UnidosFil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; ArgentinaFil: Barani, Hossein. Gorgan University of Agricultural Sciences and Natural Resources; IránFil: Biró, Marianna. GINOP Sustainable Ecosystems Group; HungríaFil: Máté, András. Dorcadion Kft; HungríaFil: Vadász, Csaba. Kiskunság National Park; HungríaWiley Blackwell Publishing, Inc2020-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/137881Molnár, Zsolt; Kelemen, András; Kun, Róbert; Máté, János; Sáfián, László; et al.; Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands; Wiley Blackwell Publishing, Inc; Journal of Applied Ecology; 57; 9; 6-2020; 1677-16870021-8901CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2664.13664info:eu-repo/semantics/altIdentifier/url/https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2664.13664info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:03:03Zoai:ri.conicet.gov.ar:11336/137881instacron: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:34982025-09-03 10:03:03.297CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
title Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
spellingShingle Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
Molnár, Zsolt
ADAPTIVE MANAGEMENT
CONSERVATION GRAZING
FORAGE PREFERENCE
KNOWLEDGE SYSTEMS
RANGELAND
TRADITIONAL ECOLOGICAL KNOWLEDGE
title_short Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
title_full Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
title_fullStr Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
title_full_unstemmed Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
title_sort Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands
dc.creator.none.fl_str_mv Molnár, Zsolt
Kelemen, András
Kun, Róbert
Máté, János
Sáfián, László
Provenza, Fred
Díaz, Sandra Myrna
Barani, Hossein
Biró, Marianna
Máté, András
Vadász, Csaba
author Molnár, Zsolt
author_facet Molnár, Zsolt
Kelemen, András
Kun, Róbert
Máté, János
Sáfián, László
Provenza, Fred
Díaz, Sandra Myrna
Barani, Hossein
Biró, Marianna
Máté, András
Vadász, Csaba
author_role author
author2 Kelemen, András
Kun, Róbert
Máté, János
Sáfián, László
Provenza, Fred
Díaz, Sandra Myrna
Barani, Hossein
Biró, Marianna
Máté, András
Vadász, Csaba
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ADAPTIVE MANAGEMENT
CONSERVATION GRAZING
FORAGE PREFERENCE
KNOWLEDGE SYSTEMS
RANGELAND
TRADITIONAL ECOLOGICAL KNOWLEDGE
topic ADAPTIVE MANAGEMENT
CONSERVATION GRAZING
FORAGE PREFERENCE
KNOWLEDGE SYSTEMS
RANGELAND
TRADITIONAL ECOLOGICAL KNOWLEDGE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The research gap between rangeland/livestock science and conservation biology/vegetation ecology has led to a lack of evidence needed for grazing-related conservation management. Connecting scientific understanding with traditional ecological knowledge of local livestock keepers could help bridge this research and knowledge gap. We studied the grazing behaviour (plant selection and avoidance) of beef cattle (c. 33,000 bites) on species-rich lowland pastures in Central Europe and traditional herding practices. We also did >450 outdoor interviews with traditional herders about livestock behaviour, herders' decisions to modify grazing behaviour and effects of modified grazing on pasture vegetation. We found that cattle grazing on species-rich pastures displayed at least 10 different behavioural elements as they encountered 117 forage species from highly desired to rejected. The small discrimination error suggests that cattle recognize all listed plants ‘by species’. We also found that herders had broad knowledge of grazing desire and they consciously aimed to modify desire by slowing, stopping or redirecting the herd. Modifications were aimed at increasing grazing intensity in less-desired patches and decreasing grazing selectivity in heterogenous swards. Synthesis and applications. The traditional herd management practices presented here have significant conservation benefits, such as avoiding under- and overgrazing, and targeted removal of pasture weeds, litter and encroaching bushes, tall competitive plants and invasive species. We argue that knowledge co-production with traditional herders who belong to another knowledge system could help connect isolated scientific disciplines especially if ecologists and rangeland scientists work closely with traditional herders, co-designing research projects and working together in data collection, analysis and interpretation. Stronger links between these disciplines could help develop evidence-based, specific conservation management practices while herders could contribute with their practical experiences and with real-world testing of new management techniques.
Fil: Molnár, Zsolt. Institute of Ecology and Botany; Hungría
Fil: Kelemen, András. Institute of Ecology and Botany; Hungría
Fil: Kun, Róbert. Szent István University. Department of Nature Conservation and Landscape Ecology; Hungría
Fil: Máté, János. Cattle Herder, Tatárszentgyörgy; Hungría
Fil: Sáfián, László. Cattle Herder, Tatárszentgyörgy; Hungría
Fil: Provenza, Fred. University of Utah; Estados Unidos
Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
Fil: Barani, Hossein. Gorgan University of Agricultural Sciences and Natural Resources; Irán
Fil: Biró, Marianna. GINOP Sustainable Ecosystems Group; Hungría
Fil: Máté, András. Dorcadion Kft; Hungría
Fil: Vadász, Csaba. Kiskunság National Park; Hungría
description The research gap between rangeland/livestock science and conservation biology/vegetation ecology has led to a lack of evidence needed for grazing-related conservation management. Connecting scientific understanding with traditional ecological knowledge of local livestock keepers could help bridge this research and knowledge gap. We studied the grazing behaviour (plant selection and avoidance) of beef cattle (c. 33,000 bites) on species-rich lowland pastures in Central Europe and traditional herding practices. We also did >450 outdoor interviews with traditional herders about livestock behaviour, herders' decisions to modify grazing behaviour and effects of modified grazing on pasture vegetation. We found that cattle grazing on species-rich pastures displayed at least 10 different behavioural elements as they encountered 117 forage species from highly desired to rejected. The small discrimination error suggests that cattle recognize all listed plants ‘by species’. We also found that herders had broad knowledge of grazing desire and they consciously aimed to modify desire by slowing, stopping or redirecting the herd. Modifications were aimed at increasing grazing intensity in less-desired patches and decreasing grazing selectivity in heterogenous swards. Synthesis and applications. The traditional herd management practices presented here have significant conservation benefits, such as avoiding under- and overgrazing, and targeted removal of pasture weeds, litter and encroaching bushes, tall competitive plants and invasive species. We argue that knowledge co-production with traditional herders who belong to another knowledge system could help connect isolated scientific disciplines especially if ecologists and rangeland scientists work closely with traditional herders, co-designing research projects and working together in data collection, analysis and interpretation. Stronger links between these disciplines could help develop evidence-based, specific conservation management practices while herders could contribute with their practical experiences and with real-world testing of new management techniques.
publishDate 2020
dc.date.none.fl_str_mv 2020-06
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/11336/137881
Molnár, Zsolt; Kelemen, András; Kun, Róbert; Máté, János; Sáfián, László; et al.; Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands; Wiley Blackwell Publishing, Inc; Journal of Applied Ecology; 57; 9; 6-2020; 1677-1687
0021-8901
CONICET Digital
CONICET
url http://hdl.handle.net/11336/137881
identifier_str_mv Molnár, Zsolt; Kelemen, András; Kun, Róbert; Máté, János; Sáfián, László; et al.; Knowledge co-production with traditional herders on cattle grazing behaviour for better management of species-rich grasslands; Wiley Blackwell Publishing, Inc; Journal of Applied Ecology; 57; 9; 6-2020; 1677-1687
0021-8901
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2664.13664
info:eu-repo/semantics/altIdentifier/url/https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2664.13664
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
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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
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