Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38048
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dc.contributor.authorMorando‐Milà, Josepen_UK
dc.contributor.authorGrau, Oriolen_UK
dc.contributor.authorUlaszewski, Bartoszen_UK
dc.contributor.authorVilà‐Cabrera, Alberten_UK
dc.contributor.authorPeñuelas, Josepen_UK
dc.contributor.authorJump, Alistairen_UK
dc.contributor.authorScotti, Ivanen_UK
dc.date.accessioned2026-05-22T00:06:06Z-
dc.date.available2026-05-22T00:06:06Z-
dc.date.issued2026-04en_UK
dc.identifier.othere70230en_UK
dc.identifier.urihttp://hdl.handle.net/1893/38048-
dc.description.abstractEuropean beech (Fagus sylvatica L.) spans a wide range of European climates and exhibits evidence of local adaptation, which supports its persistence under diverse conditions. We analysed 18 populations—distributed across an altitude gradient on the southwestern geographic range edge of the species—using landscape genomics to assess their adaptive variation and vulnerability to future climatic conditions. We uncovered weak but structured genetic differentiation, revealing three main climate-tied genetic groups. Combining multiple Genotype–Environment Association (GEA) approaches—linear, such as Latent Factor Mixed Models (LFMM) or Redundancy Analyses (RDA), and non-linear (Gradient Forest)—we identified 373 Single Nucleotide Polymorphisms (SNPs) detected by all GEA methods as being putatively associated with climate gradients. Using the Gradient Forest model, we mapped genetic offset across all 21st century periods under a key climate scenario: Shared Socioeconomic Pathway (SSP) 5, forcing 8.5 W/m2 (SSP585) and across all SSPs for 2061–2080, identifying Pyrenean and pre-Pyrenean regions as maladaptation hotspots. To capture temporal dynamics, we introduce a novel approach to interpret genetic offset. The Required Evolutionary Rate (REvoRate) quantifies the minimum genetic change per year needed to keep pace with projected climates. Joint interpretation of offset and REvoRate revealed that some stands with moderate offsets face high short-term adaptive demands, while others with larger offsets are required to evolve more gradually. The drought-temperature gradient emerged as the main driver of allele frequency turnover, with geography contributing through isolation by distance. Together, genetic offset and REvoRate provide a dynamic framework to assess temporal maladaptation risk. Our results highlight the need to integrate standing genetic variation and evolutionary potential into forest management and conservation planning to ensure the persistence of F. sylvatica in one of its most climate-vulnerable range margins.en_UK
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.relationMorando‐Milà J, Grau O, Ulaszewski B, Vilà‐Cabrera A, Peñuelas J, Jump A & Scotti I (2026) Re‐Interpreting Genetic Offset: Quantifying the Least Required Evolutionary Rate Under Climate Change at the Mediterranean Range Margin of European Beech. <i>Evolutionary Applications</i>, 19 (4), Art. No.: e70230. https://doi.org/10.1111/eva.70230en_UK
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectclimate changeen_UK
dc.subjectFagus sylvaticaen_UK
dc.subjectgenetic offseten_UK
dc.subjectlocal adaptationen_UK
dc.subjectpopulation genomicsen_UK
dc.subjectREvorRateen_UK
dc.titleRe‐Interpreting Genetic Offset: Quantifying the Least Required Evolutionary Rate Under Climate Change at the Mediterranean Range Margin of European Beechen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1111/eva.70230en_UK
dc.identifier.pmid41960308en_UK
dc.citation.jtitleEvolutionary Applicationsen_UK
dc.citation.issn1752-4571en_UK
dc.citation.issn1752-4563en_UK
dc.citation.volume19en_UK
dc.citation.issue4en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderMinistry of Economy and Competitiveness (Spain)en_UK
dc.contributor.funderEuropean Commission (Horizon 2020)en_UK
dc.author.emaila.s.jump@stir.ac.uken_UK
dc.citation.date08/04/2026en_UK
dc.contributor.affiliationUniversitat de Barcelonaen_UK
dc.contributor.affiliationCentre for Ecological Research and Forestry Applications (CREAF)en_UK
dc.contributor.affiliationKazimierz Wielki Universityen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationCentre for Ecological Research and Forestry Applications (CREAF)en_UK
dc.contributor.affiliationNS Management and Supporten_UK
dc.contributor.affiliationInrae-Urfmen_UK
dc.identifier.isiWOS:001734695700001en_UK
dc.identifier.scopusid105035163192en_UK
dc.identifier.wtid2252035en_UK
dc.contributor.orcid0009-0008-8018-0588en_UK
dc.contributor.orcid0000-0002-3816-9499en_UK
dc.contributor.orcid0000-0003-2981-1205en_UK
dc.contributor.orcid0000-0001-7589-7797en_UK
dc.contributor.orcid0000-0002-7215-0150en_UK
dc.contributor.orcid0000-0002-2167-6451en_UK
dc.contributor.orcid0000-0002-8951-2680en_UK
dc.date.accepted2026-03-06en_UK
dcterms.dateAccepted2026-03-06en_UK
dc.date.filedepositdate2026-04-08en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMorando‐Milà, Josep|0009-0008-8018-0588en_UK
local.rioxx.authorGrau, Oriol|0000-0002-3816-9499en_UK
local.rioxx.authorUlaszewski, Bartosz|0000-0003-2981-1205en_UK
local.rioxx.authorVilà‐Cabrera, Albert|0000-0001-7589-7797en_UK
local.rioxx.authorPeñuelas, Josep|0000-0002-7215-0150en_UK
local.rioxx.authorJump, Alistair|0000-0002-2167-6451en_UK
local.rioxx.authorScotti, Ivan|0000-0002-8951-2680en_UK
local.rioxx.projectProject ID unknown|Ministry of Economy and Competitiveness (Spain)|en_UK
local.rioxx.projectProject ID unknown|European Commission (Horizon 2020)|en_UK
local.rioxx.freetoreaddate2026-04-21en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2026-04-21|en_UK
local.rioxx.filenameEvolutionary Applications - 2026 - Morando___Milà - Re___Interpreting Genetic Offset Quantifying the Least Required.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1752-4571en_UK
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