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dc.contributor.authorPardo Guereño, Iker Pablo
dc.contributor.authorZabalza, Silvia
dc.contributor.authorBerastegi Garziandia, Asun
dc.contributor.authorRipoll Bosch, Raimon
dc.contributor.authorAstrain, Carlos
dc.date.accessioned2024-01-09T19:07:44Z
dc.date.available2024-01-09T19:07:44Z
dc.date.issued2024-01
dc.identifier.citationJournal of Environmental Management 349 : (2024) // Article ID 119516es_ES
dc.identifier.issn1095-8630
dc.identifier.issn0301-4797
dc.identifier.urihttp://hdl.handle.net/10810/63836
dc.description.abstractThe concept of High Nature Value (HNV) farming hinges on the causality between agroecosystems with low intensity of management and the corresponding environmental outcomes, including high levels of biodiversity and the presence of semi-natural habitats. Although European strategies for rural development and biodiversity conservation have long recognized the importance of HNV farmlands, many of those areas are currently threatened by intensification and land abandonment. A variety of approaches have been developed for identifying HNV areas and measuring changes in their distribution and extent at landscape scales. In contrast, quantitative approaches for evaluating differences in HNV among the most basic units of management (farms and farm plots) are scarce and almost exclusively based on biodiversity indicators. This gap limits our ability to derive existing gradients of HNV at fine scale and the underlying cause conducive to HNV. Hence, we implemented an index to capture multiple facets of HNV based on expert knowledge criteria and field surveys performed at the finest scale of management (plot). First, we computed this index for hundreds of grasslands located across the Western Pyrenees. Then, we analysed the relationship between the nature value of plots and environmental, management and socio-economic variables. Our results evidence a gradient between low diversity and intensively used agricultural plots and HNV grasslands in the Western Pyrenees. Highest nature values were significantly related to the occurrence of plots in meadows located in steep areas within the Natura 2000 network, whereas lowest values were related to recently opened areas and the number of treatments per year. Importantly, this index, which could be adapted to other farming areas, provides quantitative information to support the implementation of result-based schemes, including eco-schemes and agri-environment-climate interventions of the new CAP (2023–2027).es_ES
dc.description.sponsorshipThis work was funded by the CAP Planning Section – Department of Rural Development and Environment (Government of Navarre). I.P. was also supported by the University of the Basque Country (UPV/EHU) (ESPDOC18/43).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectagricultural biodiversityes_ES
dc.subjectextensive livestockes_ES
dc.subjectHNV farming systemses_ES
dc.subjectresults-based schemeses_ES
dc.subjectsemi-natural grasslandes_ES
dc.subjectscorecardes_ES
dc.titleAssessment of determinants of high nature value (HNV) farmland at plot scale in Western Pyreneeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by- nc/4.0/).es_ES
dc.rights.holderAtribución-NoComercial 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0301479723023046es_ES
dc.identifier.doi10.1016/j.jenvman.2023.119516
dc.departamentoesBiología vegetal y ecologíaes_ES
dc.departamentoeuLandaren biologia eta ekologiaes_ES


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© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-
nc/4.0/).
Except where otherwise noted, this item's license is described as © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by- nc/4.0/).