Modeling the spatial distribution of the ctenophore Mnemiopsis leidyi A. Agassiz, 1865 in the Black Sea using a fuzzy rule-based system

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dc.authoridBirinci Ozdemir, Zekiye/0000-0002-7443-1298
dc.contributor.authorPoorbagher, Hadi
dc.contributor.authorBirinci-Ozdemir, Zekiye
dc.contributor.authorEagderi, Soheil
dc.contributor.authorCicek, Erdogan
dc.date.accessioned2025-03-23T19:26:35Z
dc.date.available2025-03-23T19:26:35Z
dc.date.issued2022
dc.departmentSinop Üniversitesi
dc.description.abstractSpecies distribution models can predict species occurrences in areas where no data is available by finding relationships between occurrences and environmental parameters. In this study, we applied a fuzzy rule-based system to model the spatial distribution of Mnemiopsis leidyi in the Black Sea and predict the probability of its presence throughout the sea. Six variables were used as predictors, including water turbidity, organic and inorganic particulate carbon, photosynthetically active radiation, light absorption by phytoplankton, sea surface temperature, and chlorophyll-a concentration. The results revealed a 0.807 accuracy of the model based on the confusion matrix. The results also showed that photosynthetically active radiation and sea surface temperature were the most important predictors shaping the distribution of this species. The findings also showed that the northern Black Sea was with the highest probability of presence, especially in Ukraine and Russia's coastal areas. In the coastal areas of Turkey, the highest presence probability was found near Rize, Trabzon, Ordu, and from Sinop to Zonguldak. Therefore, continuous monitoring of the Turkish coastal area is crucial to better understanding the effects of climate change and anthropogenic influences on the further distribution patterns of this invasive ctenophore in the southeastern Black Sea.
dc.identifier.doi10.32582/aa.63.2.6
dc.identifier.endpage224
dc.identifier.issn0001-5113
dc.identifier.issn1846-0453
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85145952906
dc.identifier.scopusqualityQ3
dc.identifier.startpage215
dc.identifier.urihttps://doi.org/10.32582/aa.63.2.6
dc.identifier.urihttps://hdl.handle.net/11486/4731
dc.identifier.volume63
dc.identifier.wosWOS:000943947500002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInst Oceanografiju I Ribarstvo
dc.relation.ispartofActa Adriatica
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectNon-indigenous invasive species
dc.subjectconservation
dc.subjectmanagement
dc.subjectremote sensing
dc.subjectmodel
dc.subjectalohtone invazivne vrste
dc.subjectocuvanje
dc.subjectupravljanje
dc.subjectdaljinsko ocitavanje
dc.titleModeling the spatial distribution of the ctenophore Mnemiopsis leidyi A. Agassiz, 1865 in the Black Sea using a fuzzy rule-based system
dc.typeArticle

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