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Using geostatistics and multicriteria spatial analysis to map forest species biogeophysical suitability: a study case for the Centro Region of Portugal

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dc.contributor.authorQuinta-Nova, L.C.
dc.contributor.authorRoque, Natália
dc.contributor.authorNavalho, Isabel Maria Rodrigues
dc.contributor.authorAlegria, C.M.M.
dc.contributor.authorAlbuquerque, M.T.D.
dc.date.accessioned2020-03-27T15:39:45Z
dc.date.available2020-03-27T15:39:45Z
dc.date.issued2019
dc.description.abstractThere are various methodologies for defining soil uses to promote sustainable utilization of rural land. Many of these methods rely on decision support systems based on multicriteria spatial analysis. In this study, a two-step spatial approach was performed to produce forest species suitability maps. The objectives of the study were: (1) to produce bioclimatic indices maps using a geostatistical approach based on climate data; (2) to produce biogeophysical suitability maps for the main Portuguese forest species by multicriteria spatial analysis using the analytic hierarchy process (AHP) integrating three factors (terrain slope, soil diagnostic features and bioclimatic indices); and (3) to conduct a comparative analysis of the current forest species area distributions to these species biogeophysical suitability areas. With these objectives, the Centro region of Portugal was used as the study area. Our methodological approach allowed us to assess the biogeophysical suitability of Maritime pine, Eucalyptus, Cork oak and Holm oak in the Centro region of Portugal. The findings in this study emphasize the potential that the Centro region of Portugal has for expanding the spread of native oaks as recommended by the National Strategy for Forests to respond to climate changes, improve landscape biodiversity and mitigate fire hazards. The species biogeophysical suitability maps may be important tools for decision support in landscape planning to define species’ priority afforestation areas. From an instrumental point of view, the use of this methodology may interest stakeholders and others with roles in planning and land management. Further investigation is needed to integrate the impact of climate change in forest species spatial modeling to assist in supporting future national strategies for forests.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationQUINTA-NOVA, L.C. [et al.] (2019) - Using geostatistics and multicriteria spatial analysis to map forest species biogeophysical suitability: a study case for the Centro Region of Portugal. In SALAMPASIS, T., BOURNARIS, T. (eds.) - Information and communication technologies in modern agricultural development. Communications in Computer and Information Science 953. [S.l.] : Springer. ISBN 978-3-030-12998-9. p. 64-83pt_PT
dc.identifier.doi10.1007/978-3-030-12998-9_5pt_PT
dc.identifier.isbn978-3-030-12998-9
dc.identifier.urihttp://hdl.handle.net/10400.11/7001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-12998-9_5pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectSuitabilitypt_PT
dc.subjectForest managementpt_PT
dc.subjectGISpt_PT
dc.subjectAHPpt_PT
dc.titleUsing geostatistics and multicriteria spatial analysis to map forest species biogeophysical suitability: a study case for the Centro Region of Portugalpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceChania, Gréciapt_PT
oaire.citation.endPage83pt_PT
oaire.citation.startPage64pt_PT
oaire.citation.titleCommunications in Computer and Information Science 953pt_PT
oaire.citation.volume953pt_PT
person.familyNameQuinta-Nova
person.familyNameMartins Roque
person.familyNameNavalho
person.familyNameAlegria
person.familyNameAlbuquerque
person.givenNameLuís
person.givenNameNatália
person.givenNameIsabel
person.givenNameCristina Maria
person.givenNameMaria Teresa
person.identifierNatália Martins Roque
person.identifieruser=YnBEv3oAAAAJ&hl=en
person.identifier.ciencia-id7E1C-426F-DCFF
person.identifier.ciencia-id451A-332D-0798
person.identifier.ciencia-id9311-1EE5-AB03
person.identifier.ciencia-id5A1C-8956-4C0A
person.identifier.orcid0000-0002-8464-7527
person.identifier.orcid0000-0001-8859-4365
person.identifier.orcid0000-0002-1650-6140
person.identifier.orcid0000-0002-6906-6660
person.identifier.orcid0000-0002-8782-6133
person.identifier.ridO-2888-2014
person.identifier.ridB-1536-2013
person.identifier.scopus-author-id36094927600
person.identifier.scopus-author-id57200227653
person.identifier.scopus-author-id57192669526
person.identifier.scopus-author-id36952993700
person.identifier.scopus-author-id55507421600
rcaap.rightsrestrictedAccesspt_PT
rcaap.typebookPartpt_PT
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relation.isAuthorOfPublication.latestForDiscovery3467ba89-9881-4552-b8a6-894da7c5550f

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