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Agroforestry systems in North‐Eastern mountains of Portugal: a portrait in the transition for the XXIst century

dc.contributor.authorTorres-Manso, Filipa
dc.contributor.authorMarta‐Costa, Ana
dc.contributor.authorCastro, Marina
dc.contributor.authorTibério, Manuel
dc.date.accessioned2016-11-11T11:07:51Z
dc.date.available2016-11-11T11:07:51Z
dc.date.issued2016
dc.description.abstractThe gathered results from population and agricultural census of the past decades have demonstrated a significant decrease of the inhabitants of the North‐ Eastern mountain regions of Portugal. This depopulation has been reflected in rural activity and particularly in extensive grazing systems. As a result of the rural areas abandonment, the previously compartmentalized landscape by mosaic agroforestry, where agricultural fields were alternated with forest, shrublands and pastures, currently appears dominated by tall shrubs or burned areas with representative dimensions. This situation leads us to ask about the current context of the agrosilvopastoral activity and what are their prospects for the future. The demand for such responses have originated a series of studies focused on those territories, to assess the constraints and motivations of shepherds who have remained here and those who have emigrated and have already come back. These approaches include interviews with shepherds and the survey/registration of traditional grazing paths, namely, in the Natura 2000 Network Sites of Alvão/Marão Mountains, Montemuro Mountain, Morais/Azibo, Montesinho/Coroa /Nogueira and Douro International. From the socioeconomic point of view, the low yields from agriculture, given the poor valorisation of its products; the low productivity of the systems; the great demand for hand labour; and the aging population, were identified as some of the factors that have contributed to that decline. However, many of the shepherds, who have come back, highlight advantages of the used traditional pastoralism, when compared with other labour activities practiced as migrants. Others, having taken advantage of new learning, have tried to implement new agrosilvopastoral models. Nowadays, the mountain grazing systems, despite its regression, seem to be renewing. They do not have a single standard, but include a diversity of situations. However, besides they are still insufficient for an adequate landscape management, it is important to know about their sustainability.pt_PT
dc.identifier.citationTorres‐Manso, Filipa; Marta‐Costa, Ana; Castro, Marina; Tibério, Manuel (2016). Agroforestry systems in North‐Eastern mountains of Portugal: a portrait in the transition for the XXIst century. In I International Conference on Research for Sustainable Development in Mountain Regions: book of abstracts. ISBN 978-972-745-214-9pt_PT
dc.identifier.isbn978-972-745-214-9
dc.identifier.urihttp://hdl.handle.net/10198/13457
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCentro de Investigação de Montanha (CIMO)pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAgroforestry systemspt_PT
dc.titleAgroforestry systems in North‐Eastern mountains of Portugal: a portrait in the transition for the XXIst centurypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FSOC%2F04011%2F2013/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.titleInternational Conference on Research for Sustainable Development in Mountain Regions: Book of Abstractspt_PT
oaire.fundingStream5876
person.familyNameCastro
person.givenNameMarina
person.identifier2303569
person.identifier.ciencia-id6417-7D8D-FD7E
person.identifier.orcid0000-0002-6368-8098
person.identifier.ridB-5197-2016
person.identifier.scopus-author-id56612728000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscoverya7a3b08e-9d22-4faf-9224-36924d8ce7c8
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relation.isProjectOfPublication.latestForDiscoverye476934a-c853-4841-b673-465b7971e20f

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