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High nature value farming systems in Europe : A dataset encompassing the environmental impact assessment of farms and extensive ruminant food products

dc.contributor.authorTorres-Miralles, M.
dc.contributor.authorJeanneret, P.
dc.contributor.authorLamminen, M.
dc.contributor.authorJoly, F.
dc.contributor.authorDumont, B.
dc.contributor.authorTuomisto, Hanna
dc.contributor.authorHerzon, I.
dc.contributor.departmentid4100311310
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2026-01-21T14:22:03Z
dc.date.issued2025
dc.description.abstractHigh Nature Value (HNV) farming systems occur in areas where the major land use is agriculture and are characterized by their significance in promoting biodiversity and ecosystem services due to their extensive land use. Despite their importance for ecological and socio-economic resilience of rural regions, these systems are often overlooked in Life Cycle Assessment (LCA) studies due to challenges in data compilation, especially from small local farms and because of the diversity of production. To address this gap, we established an international collaborative network across Europe, involving professionals directly engaged with farmers, farmer associations, and researchers to collect data on HNV farms employing a developed questionnaire examining inputs and outputs, farm structures, and herd characteristics. Our dataset includes 41 farms and covers five European countries Spain, France, Greece, Estonia, and Finland spanning three bioregions of Mediterranean, Atlantic, and Boreal. Data anonymised and integrated into a matrix focus on such environmental impact indicators as greenhouse gas emissions GHGs biodiversity land and water use and fossil resource scarcity. We applied LCA using analytical tools such as the European Carbon Calculator Joint Research Centre of the European Commission OpenLCA 10.4. and the SALCA-BD expert system. Additionally we utilised the LCA inventory Agribalyse 3.0 database to estimate the environmental footprint of four pivotal HNV products goat cheese cow milk lamb and beef. The main outcome is a unique and novel dataset for HNV farming systems addressing critical gaps in available information. Our primary objective is to facilitate further investigations empowering other researchers to expand and enhance their understanding of the environmental impact associated with HNV farming systems drawing attention to a potential role of HNV farming systems in transitioning towards a more sustainable food production and consumption.
dc.format.pagerange19 p.
dc.identifier.citationHow to cite: Torres‑Miralles, M., Jeanneret, P., Lamminen, M., Joly, F., Dumont, B., Tuomisto, H., & Herzon, I. (2025). High nature value farming systems in Europe: A dataset encompassing the environmental impact assessment of farms and extensive ruminant food products. Data in Brief, 58, Article 111164. https://doi.org/10.1016/j.dib.2024.111164
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/103762
dc.identifier.urlhttp://dx.doi.org/10.1016/j.dib.2024.111164
dc.identifier.urnURN:NBN:fi-fe202601217410
dc.language.isoen
dc.okm.avoinsaatavuuskytkin1 = Avoimesti saatavilla
dc.okm.corporatecopublicationei
dc.okm.discipline4111
dc.okm.internationalcopublicationon
dc.okm.julkaisukanavaoa1 = Kokonaan avoimessa julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.relation.articlenumber111164
dc.relation.doi10.1016/j.dib.2024.111164
dc.relation.ispartofData in Brief
dc.relation.ispartofseriesData in Brief
dc.relation.issn2352-3409
dc.relation.volume58
dc.rightsCC BY 4.0
dc.source.justusid134249
dc.subjectsemi-natural habitats
dc.subjectbiodiversity
dc.subjectagriculture
dc.subjectlife cycle analysis
dc.subjectextensive farming systems
dc.titleHigh nature value farming systems in Europe : A dataset encompassing the environmental impact assessment of farms and extensive ruminant food products
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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