{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T23:00:01Z","timestamp":1772924401027,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,3,16]],"date-time":"2023-03-16T00:00:00Z","timestamp":1678924800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"CULTIVAR project","award":["CENTRO-01-0145-FEDER-000020"],"award-info":[{"award-number":["CENTRO-01-0145-FEDER-000020"]}]},{"name":"CULTIVAR project","award":["UIDB\/00681\/2020"],"award-info":[{"award-number":["UIDB\/00681\/2020"]}]},{"name":"CULTIVAR project","award":["UIDB\/00239\/2020"],"award-info":[{"award-number":["UIDB\/00239\/2020"]}]},{"name":"CULTIVAR project","award":["UIDB\/05183\/2020"],"award-info":[{"award-number":["UIDB\/05183\/2020"]}]},{"name":"CERNAS-IPCB","award":["CENTRO-01-0145-FEDER-000020"],"award-info":[{"award-number":["CENTRO-01-0145-FEDER-000020"]}]},{"name":"CERNAS-IPCB","award":["UIDB\/00681\/2020"],"award-info":[{"award-number":["UIDB\/00681\/2020"]}]},{"name":"CERNAS-IPCB","award":["UIDB\/00239\/2020"],"award-info":[{"award-number":["UIDB\/00239\/2020"]}]},{"name":"CERNAS-IPCB","award":["UIDB\/05183\/2020"],"award-info":[{"award-number":["UIDB\/05183\/2020"]}]},{"name":"CEF","award":["CENTRO-01-0145-FEDER-000020"],"award-info":[{"award-number":["CENTRO-01-0145-FEDER-000020"]}]},{"name":"CEF","award":["UIDB\/00681\/2020"],"award-info":[{"award-number":["UIDB\/00681\/2020"]}]},{"name":"CEF","award":["UIDB\/00239\/2020"],"award-info":[{"award-number":["UIDB\/00239\/2020"]}]},{"name":"CEF","award":["UIDB\/05183\/2020"],"award-info":[{"award-number":["UIDB\/05183\/2020"]}]},{"name":"MED&amp;CHANGE","award":["CENTRO-01-0145-FEDER-000020"],"award-info":[{"award-number":["CENTRO-01-0145-FEDER-000020"]}]},{"name":"MED&amp;CHANGE","award":["UIDB\/00681\/2020"],"award-info":[{"award-number":["UIDB\/00681\/2020"]}]},{"name":"MED&amp;CHANGE","award":["UIDB\/00239\/2020"],"award-info":[{"award-number":["UIDB\/00239\/2020"]}]},{"name":"MED&amp;CHANGE","award":["UIDB\/05183\/2020"],"award-info":[{"award-number":["UIDB\/05183\/2020"]}]},{"name":"Foundation for Science and Technology (FCT)","award":["CENTRO-01-0145-FEDER-000020"],"award-info":[{"award-number":["CENTRO-01-0145-FEDER-000020"]}]},{"name":"Foundation for Science and Technology (FCT)","award":["UIDB\/00681\/2020"],"award-info":[{"award-number":["UIDB\/00681\/2020"]}]},{"name":"Foundation for Science and Technology (FCT)","award":["UIDB\/00239\/2020"],"award-info":[{"award-number":["UIDB\/00239\/2020"]}]},{"name":"Foundation for Science and Technology (FCT)","award":["UIDB\/05183\/2020"],"award-info":[{"award-number":["UIDB\/05183\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Forests"],"abstract":"<jats:p>To date, a variety of species potential distribution mapping approaches have been used, and the agreement in maps produced with different methodological approaches should be assessed. The aims of this study were: (1) to model Maritime pine potential distributions for the present and for the future under two climate change scenarios using the machine learning Maximum Entropy algorithm (MaxEnt); (2) to update the species ecological envelope maps using the same environmental data set and climate change scenarios; and (3) to perform an agreement analysis for the species distribution maps produced with both methodological approaches. The species distribution maps produced by each of the methodological approaches under study were reclassified into presence\u2013absence binary maps of species to perform the agreement analysis. The results showed that the MaxEnt-predicted map for the present matched well the species\u2019 current distribution, but the species ecological envelope map, also for the present, was closer to the species\u2019 empiric potential distribution. Climate change impacts on the species\u2019 future distributions maps using the MaxEnt were moderate, but areas were relocated. The 47.3% suitability area (regular-medium-high), in the present, increased in future climate change scenarios to 48.7%\u201348.3%. Conversely, the impacts in species ecological envelopes maps were higher and with greater future losses than the latter. The 76.5% suitability area (regular-favourable-optimum), in the present, decreased in future climate change scenarios to 58.2%\u201351.6%. The two approaches combination resulted in a 44% concordance for the species occupancy in the present, decreasing around 30%\u201335% in the future under the climate change scenarios. Both methodologies proved to be complementary to set species\u2019 best suitability areas, which are key as support decision tools for planning afforestation and forest management to attain fire-resilient landscapes, enhanced forest ecosystems biodiversity, functionality and productivity.<\/jats:p>","DOI":"10.3390\/f14030591","type":"journal-article","created":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T03:33:57Z","timestamp":1679024037000},"page":"591","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Species Distribution Modelling under Climate Change Scenarios for Maritime Pine (Pinus pinaster Aiton) in Portugal"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6906-6660","authenticated-orcid":false,"given":"Cristina","family":"Alegria","sequence":"first","affiliation":[{"name":"Instituto Polit\u00e9cnico de Castelo Branco, 6000-084 Castelo Branco, Portugal"},{"name":"CERNAS-IPCB\u2014P\u00f3lo de Castelo Branco do Centro de Estudos de Recursos Naturais, Ambiente e Sociedade, Instituto Polit\u00e9cnico de Castelo Branco, Unidade de Investiga\u00e7\u00e3o e Desenvolvimento, 6000-084 Castelo Branco, Portugal"}]},{"given":"Alice M.","family":"Almeida","sequence":"additional","affiliation":[{"name":"Instituto Polit\u00e9cnico de Castelo Branco, 6000-084 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8859-4365","authenticated-orcid":false,"given":"Nat\u00e1lia","family":"Roque","sequence":"additional","affiliation":[{"name":"Instituto Polit\u00e9cnico de Castelo Branco, 6000-084 Castelo Branco, Portugal"},{"name":"CERNAS-IPCB\u2014P\u00f3lo de Castelo Branco do Centro de Estudos de Recursos Naturais, Ambiente e Sociedade, Instituto Polit\u00e9cnico de Castelo Branco, Unidade de Investiga\u00e7\u00e3o e Desenvolvimento, 6000-084 Castelo Branco, Portugal"},{"name":"QRural\u2014Qualidade de Vida no Mundo Rural, Instituto Polit\u00e9cnico de Castelo, Unidade de Investiga\u00e7\u00e3o e Desenvolvimento, 6000-084 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7252-8320","authenticated-orcid":false,"given":"Paulo","family":"Fernandez","sequence":"additional","affiliation":[{"name":"Instituto Polit\u00e9cnico de Castelo Branco, 6000-084 Castelo Branco, Portugal"},{"name":"MED&CHANGE\u2014Mediterranean Institute for Agriculture, Environment and Development & CHANGE\u2013Global Change and Sustainability Institute, Universidade de \u00c9vora, 7006-554 \u00c9vora, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4684-1262","authenticated-orcid":false,"given":"Maria Margarida","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Instituto Polit\u00e9cnico de Castelo Branco, 6000-084 Castelo Branco, Portugal"},{"name":"CERNAS-IPCB\u2014P\u00f3lo de Castelo Branco do Centro de Estudos de Recursos Naturais, Ambiente e Sociedade, Instituto Polit\u00e9cnico de Castelo Branco, Unidade de Investiga\u00e7\u00e3o e Desenvolvimento, 6000-084 Castelo Branco, Portugal"},{"name":"CEF\u2014Forest Research Centre, School of Agriculture, University of Lisbon, 1349-017 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"108817","DOI":"10.1016\/j.ecolmodel.2019.108817","article-title":"Species distribution modelling to support forest management. 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