fruclimadapt: an R package for climate adaptation assessment of temperate fruit species

dc.contributor.authorMiranda Jiménez, Carlos
dc.contributor.authorUrrestarazu Vidart, Jorge
dc.contributor.authorSantesteban García, Gonzaga
dc.contributor.departmentAgronomía, Biotecnología y Alimentaciónes_ES
dc.contributor.departmentAgronomia, Bioteknologia eta Elikaduraeu
dc.date.accessioned2021-09-06T12:27:31Z
dc.date.available2023-01-01T00:00:12Z
dc.date.issued2021
dc.description.abstractClimate strongly determines the growing range of fruit plant species that can be grown successfully in an area, and also the cultivars that will perform best. Therefore, the assessment of the adequacy of a climate is critical for decision-making in the design of fruit orchards and vineyards, and also for the evaluation of the potential consequences of future climate on fruit production. Bioclimatic indices and plant phenology models are commonly used to assess the suitability of climate for growing quality fruit and to provide temporal and spatial information about regarding ongoing and future changes. In this paper, we present fruclimadapt, a flexible and versatile package in the R language that streamlines the assessment of climate adaptation and the identification of potential risks for grapevines and fruit trees. A core set of functions allows to assess climate adaptation of fruit tree species by calculating specific bioclimatic index values and to evaluate potential threats to yield and fruit quality. Three additional sets of functions have been included as companions to: i) downscale daily meteorological values to hourly data, ii) estimate winter chill and forcing heat accumulation and iii) estimate the occurrence of phenological phases. fruclimadapt is currently available from the CRAN website (https://cran.r-project.org/package=fruclimadapt).en
dc.description.sponsorshipJ.U. has a research contract funded from 'La Caixa' Foundation and 'Caja Navarra' Foundation, under agreement LCF/PR/PR13/51080004.en
dc.embargo.lift2023-01-01
dc.embargo.terms2023-01-01
dc.format.extent27 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1016/j.compag.2020.105879
dc.identifier.issn0168-1699
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/40422
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofComputers and Electronics in Agriculture, 180 (2021) 105879en
dc.relation.publisherversionhttps://doi.org/10.1016/j.compag.2020.105879
dc.rights© 2020 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectClimateen
dc.subjectPhenologyen
dc.subjectR packageen
dc.subjectRisk assessmenten
dc.titlefruclimadapt: an R package for climate adaptation assessment of temperate fruit speciesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationeb6b4e23-fb4a-4c0a-b436-03324e328c1b
relation.isAuthorOfPublication2d0a706d-1e23-4265-9157-d09e27cee0b9
relation.isAuthorOfPublication70e95546-7fe8-4555-b366-74356bdb746e
relation.isAuthorOfPublication.latestForDiscoveryeb6b4e23-fb4a-4c0a-b436-03324e328c1b

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