Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services

Detalhes bibliográficos
Autor(a) principal: Fernandes, João
Data de Publicação: 2020
Outros Autores: Antunes, Paula, Santos, Rui, Zulian, Grazia, Clemente, Pedro, Ferraz, Diogo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/114282
Resumo: UID/AMB/04085/2019 UIDB/04085/2020
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network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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spelling Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem servicesES mappingES modellingES supply and demandMaria Jose Martinez-Harmsparticipatory workshopsPollination ecosystem servicestakeholder engagementEcology, Evolution, Behavior and SystematicsAutomotive EngineeringNature and Landscape ConservationManagement, Monitoring, Policy and LawUID/AMB/04085/2019 UIDB/04085/2020Mapping of ecosystem services (ES) is a powerful tool for communication and knowledge sharing about the implications of ecosystem management practices for human wellbeing. This research aimed to show the usefulness of ES mapping for decision-making by combining modelling of ES supply with ES demand mapping in a participatory process with the engagement of relevant stakeholders. We used the ESTIMAP-pollination model to map wild bee abundance and pollination supply in the Sudoeste Alentejano and Costa Vicentina Natural Park (PNSACV) in Portugal. The model was modified by adding a behavioural component that distributes pollinator visits according to floral availability. Balancing pollination supply with crop dependency levels allowed visualising potential areas of satisfied and unsatisfied demand and testing the effectiveness of ecosystem management interventions. The discussion of these results in two participatory workshops triggered the first collective debate about pollination in the PNSACV. This engagement enabled the development of a shared understanding about this ES and highlighted the role of ES maps as tools to support collaborative natural resources management.CENSE - Centro de Investigação em Ambiente e SustentabilidadeRUNFernandes, JoãoAntunes, PaulaSantos, RuiZulian, GraziaClemente, PedroFerraz, Diogo2021-03-22T23:28:23Z2020-01-012020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18application/pdfhttp://hdl.handle.net/10362/114282eng2639-5908PURE: 28750648https://doi.org/10.1080/26395916.2020.1800821info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:51:19Zoai:run.unl.pt:10362/114282Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:51:19Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
title Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
spellingShingle Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
Fernandes, João
ES mapping
ES modelling
ES supply and demand
Maria Jose Martinez-Harms
participatory workshops
Pollination ecosystem service
stakeholder engagement
Ecology, Evolution, Behavior and Systematics
Automotive Engineering
Nature and Landscape Conservation
Management, Monitoring, Policy and Law
title_short Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
title_full Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
title_fullStr Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
title_full_unstemmed Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
title_sort Coupling spatial pollination supply models with local demand mapping to support collaborative management of ecosystem services
author Fernandes, João
author_facet Fernandes, João
Antunes, Paula
Santos, Rui
Zulian, Grazia
Clemente, Pedro
Ferraz, Diogo
author_role author
author2 Antunes, Paula
Santos, Rui
Zulian, Grazia
Clemente, Pedro
Ferraz, Diogo
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv CENSE - Centro de Investigação em Ambiente e Sustentabilidade
RUN
dc.contributor.author.fl_str_mv Fernandes, João
Antunes, Paula
Santos, Rui
Zulian, Grazia
Clemente, Pedro
Ferraz, Diogo
dc.subject.por.fl_str_mv ES mapping
ES modelling
ES supply and demand
Maria Jose Martinez-Harms
participatory workshops
Pollination ecosystem service
stakeholder engagement
Ecology, Evolution, Behavior and Systematics
Automotive Engineering
Nature and Landscape Conservation
Management, Monitoring, Policy and Law
topic ES mapping
ES modelling
ES supply and demand
Maria Jose Martinez-Harms
participatory workshops
Pollination ecosystem service
stakeholder engagement
Ecology, Evolution, Behavior and Systematics
Automotive Engineering
Nature and Landscape Conservation
Management, Monitoring, Policy and Law
description UID/AMB/04085/2019 UIDB/04085/2020
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2020-01-01T00:00:00Z
2021-03-22T23:28:23Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/114282
url http://hdl.handle.net/10362/114282
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2639-5908
PURE: 28750648
https://doi.org/10.1080/26395916.2020.1800821
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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