{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T01:17:12Z","timestamp":1768699032399,"version":"3.49.0"},"reference-count":106,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the European social fund and the government of the Canary Islands"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Despite their ecological and socio-economic importance, seagrasses are often overlooked in comparison with terrestrial ecosystems. In the Canarian archipelago (Spain), Cymodocea nodosa is the best-established species, sustaining the most important marine ecosystem and providing ecosystem services (ES) of great relevance. Nevertheless, we lack accurate and standardized information regarding the distribution of this species and its ES supply. As a first step, the use of species distribution models is proposed. Various machine learning algorithms and ensemble model techniques were considered along with freely available remote sensing data to assess Cymodocea nodosa\u2019s potential distribution. In a second step, we used InVEST software to estimate the ES provision by this phanerogam on a regional scale, providing spatially explicit monetary assessments and a habitat degradation characterization due to human impacts. The distribution models presented great predictive capabilities and statistical significance, while the ES estimations were in concordance with previous studies. The proposed methodology is presented as a useful tool for environmental management of important communities sensitive to human activities, such as C. nodosa meadows.<\/jats:p>","DOI":"10.3390\/rs14174334","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T00:19:01Z","timestamp":1662077941000},"page":"4334","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Species Distribution Models at Regional Scale: Cymodocea nodosa Seagrasses"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6055-692X","authenticated-orcid":false,"given":"Enrique","family":"Casas","sequence":"first","affiliation":[{"name":"Departamento de F\u00edsica, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1086-8762","authenticated-orcid":false,"given":"Laura","family":"Mart\u00edn-Garc\u00eda","sequence":"additional","affiliation":[{"name":"Centro Oceanogr\u00e1fico de Canarias, Instituto Espa\u00f1ol de Oceanograf\u00eda, 38180 Santa Cruz de Tenerife, Spain"}]},{"given":"Pedro","family":"Hern\u00e1ndez-Leal","sequence":"additional","affiliation":[{"name":"Departamento de F\u00edsica, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6853-4442","authenticated-orcid":false,"given":"Manuel","family":"Arbelo","sequence":"additional","affiliation":[{"name":"Departamento de F\u00edsica, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"ref_1","unstructured":"Green, E.P., and Short, F.T. 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