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Bioclimatic modelling in the holocene and in future warming scenarios in Arbutus unedo L.

dc.contributor.authorRibeiro, M.M.A.
dc.contributor.authorRoque, Natália
dc.contributor.authorRibeiro, Sílvia
dc.contributor.authorGavinhos, Catarina
dc.contributor.authorSilva, Isabel Castanheira
dc.contributor.authorQuinta-Nova, L.C.
dc.contributor.authorAlbuquerque, M.T.D.
dc.contributor.authorGerassis Davite, Saki
dc.date.accessioned2020-03-27T13:12:44Z
dc.date.available2020-03-27T13:12:44Z
dc.date.issued2018
dc.description.abstractGrowing forests wildfires in Portugal are an increasing concern since forests in the Mediterranean region are vulnerable to recent global warming. Long-term negative effects are expected on the vegetation with the coming increasing drought. The strawberry tree (Arbutus unedo L.) displays potential to be a successfully business-like cultured in several regions of Portugal and southern Europe, as it is well adapted to climate and soils. In Portugal, this species has been used by local populations particularly for spirit production and for fruit consumption, although it has different possible commercial uses, from processed and fresh fruit production to ornamental, pharmaceutical and chemical applications. In addition, due to its pioneer status, it is valuable for land recovery and desertification avoidance, besides being fire resistant. The available strawberry tree’s data is presence-only. For modelling purposes, a set of placements within the landscape of interest (Portugal) was applied. The species, observed in 318 plots, together with a vector of environmental covariates (7 bioclimatic attributes, slope and altitude) and a defined background were used for modeling purposes. Maxent 3.4.1 was the used software, where the estimated quantity is the probability of the presence of the species, conditioned on the environment. Maxent uses the environmental covariate data from the occurrence records and the background sample, to estimate the ratio between the conditional density of the covariates at the presence sites and the marginal (i.e., unconditional) density of covariates across the study area and so, estimating the relative suitability of one place vs. another. Three different climate scenarios (control run; 2050 and 2070) were tested for two emission scenarios (RCP 4.5 and RCP 8.5, WorldClim), besides the past, 6,000 BP (Mid-Holocene). The reduction of habitat suitable for this species is very significant in the southern regions, even for the best warming scenario (RCP 4.5) in 2050. Central and Northern mountain regions are predicted refuge for this species. Forest policies and management should consider the impact of climate change on the usable areas for forestry, seeing a case-study species particularly adapted to the Mediterranean regions and wildfires, such as strawberry tree. The distribution of the species in the Middle Holocene agrees with previous genetic and fossils studies in the region, which supported two putative refuges for the species since the Last Glacial Maximum and a cryptic refugia in the East-Central mountain region.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRIBEIRO, M.M., Roque, N., Ribeiro, S., Gavinhos, C., Castanheira, I.C., Quinta-Nova, L., Albuquerque, T., Gerassis, S., 2018. Bioclimatic modelling in the Holocene and in future warming scenarios in Arbutus unedo L. GeoEnv 2018: 12th Conference on Geostatistics for Environmental Applications. Belfast, Ireland, 4 a 7 de julho.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/6994
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationProjetos FCT UID/AGR/00239/2013 e UID/AMB/00681/2013pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectStrawberry treept_PT
dc.subjectHabitat suitabilitypt_PT
dc.subjectEcological modellingpt_PT
dc.titleBioclimatic modelling in the holocene and in future warming scenarios in Arbutus unedo L.pt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBelfastpt_PT
oaire.citation.title12th Conference on Geostatics for Environmental Applicationspt_PT
person.familyNameRibeiro
person.familyNameMartins Roque
person.familyNameRibeiro
person.familyNameGavinhos
person.familyNameSilva
person.familyNameQuinta-Nova
person.familyNameAlbuquerque
person.familyNameGerassis Davite
person.givenNameMaria Margarida
person.givenNameNatália
person.givenNameSilvia
person.givenNameCatarina
person.givenNameIsabel
person.givenNameLuís
person.givenNameMaria Teresa
person.givenNameSaki
person.identifier349097
person.identifierNatália Martins Roque
person.identifier.ciencia-idAD12-4D32-7A48
person.identifier.ciencia-id451A-332D-0798
person.identifier.ciencia-idB21E-9D3F-787E
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person.identifier.ciencia-id7E1C-426F-DCFF
person.identifier.ciencia-id5A1C-8956-4C0A
person.identifier.orcid0000-0003-4684-1262
person.identifier.orcid0000-0001-8859-4365
person.identifier.orcid0000-0002-3297-178X
person.identifier.orcid0000-0002-6011-5016
person.identifier.orcid0000-0001-9300-9757
person.identifier.orcid0000-0002-8464-7527
person.identifier.orcid0000-0002-8782-6133
person.identifier.orcid0000-0002-9249-6407
person.identifier.ridM-4235-2013
person.identifier.ridO-2888-2014
person.identifier.ridB-1536-2013
person.identifier.scopus-author-id7201715611
person.identifier.scopus-author-id57200227653
person.identifier.scopus-author-id55420209800
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person.identifier.scopus-author-id55507421600
person.identifier.scopus-author-id57193055708
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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