Publication
Prediction of the Arbutus unedo colonization time via an agent-based distribution model
| dc.contributor.author | Bioco, João | |
| dc.contributor.author | Prata, Paula | |
| dc.contributor.author | Canovas, Fernando | |
| dc.contributor.author | Fazendeiro, Paulo | |
| dc.date.accessioned | 2023-01-05T09:26:22Z | |
| dc.date.available | 2023-01-05T09:26:22Z | |
| dc.date.issued | 2022-08 | |
| dc.description.abstract | Species distribution models (SDMs) have been used to predict the distribution of species in an environment. Usually, this prediction is based on previous species occurrence data. Nowadays, several species are facing climatic changes that impact the way species behave. Global warming has implicated species displacement from their natural habitat to new suitable places. SDMs can be used to anticipate possible impacts of the climatic changes in species distribution, preventing species extinction scenarios. New SDMs approaches are needed to give valuable information that better approximates these models to reality. This paper presents a novel approach to the prediction of species distribution. It starts by using an agent-based model (ABM) to establish an approximate mapping between the geological and the computational times. Afterwards, the implemented ABM can be used to predict the species distribution at different time intervals. The presented case study concerns the distribution of the Arbutus unedo in the Iberian peninsula, a species with relevant socio-economic impact in Portugal. The results show that the measurement of the geological time, supported by the approximate correspondence to the number of epochs of an ABM, can be a valuable tool for the prediction of the species distribution in a changing environmental scenario. | pt_PT |
| dc.description.sponsorship | This work was supported by operation Centro-01-0145-FEDER-000019 - C4 - Centro de Competencias em Cloud Computing, cofinanced by the European Regional Development Fund ˆ (ERDF) through the Programa Operacional Regional do Centro (Centro 2020), in the scope of the Sistema de Apoio a Investigação Científica e Tecnológica - Programas Integrados de ´ IC&DT. This work was also funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020 FCT/MCTES. | pt_PT |
| dc.description.version | info:eu-repo/semantics/acceptedVersion | pt_PT |
| dc.identifier.citation | Bioco J., Prata P., Cánovas F., Fazendeiro, P.. (2022). Prediction of the Arbutus unedo colonization time via an agent-based distribution model. 5th International Conference for Emerging Technologies in Computing (iCETiC’22), Chester, United Kingdom. | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.6/12584 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IAER | pt_PT |
| dc.relation | Instituto de Telecomunicações | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Agent-based distribution model | pt_PT |
| dc.subject | Colonization time | pt_PT |
| dc.subject | Species distribution model | pt_PT |
| dc.title | Prediction of the Arbutus unedo colonization time via an agent-based distribution model | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Instituto de Telecomunicações | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT | |
| oaire.citation.conferencePlace | Chester, United Kingdom. | pt_PT |
| oaire.citation.title | 5th International Conference for Emerging Technologies in Computing (iCETiC’22) | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Bioco | |
| person.familyName | Prata | |
| person.familyName | Canovas | |
| person.familyName | Fazendeiro | |
| person.givenName | Joao | |
| person.givenName | Paula | |
| person.givenName | Fernando | |
| person.givenName | Paulo | |
| person.identifier.ciencia-id | 651F-C1C8-44AD | |
| person.identifier.ciencia-id | 911F-3584-721F | |
| person.identifier.orcid | 0000-0001-8205-8350 | |
| person.identifier.orcid | 0000-0002-3072-0186 | |
| person.identifier.orcid | 0000-0002-8837-1927 | |
| person.identifier.orcid | 0000-0001-6054-7188 | |
| person.identifier.rid | M-3457-2013 | |
| person.identifier.rid | B-7713-2008 | |
| person.identifier.scopus-author-id | 6506143567 | |
| person.identifier.scopus-author-id | 23395891600 | |
| person.identifier.scopus-author-id | 19640174600 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.embargofct | Copyright cedido à editora no momento da publicação | pt_PT |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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