Modeling the spatial distribution of the ctenophoreMnemiopsis leidyi A. Agassiz, 1865 in the Black Seausing a fuzzy rule-based system
Yazarlar (4)
Hadı Poorbagher
University Of Tehran
Doç. Dr. Zekiye BİRİNCİ ÖZDEMİR Sinop Üniversitesi, Türkiye
Soheıl Eagderı
University Of Tehran
Prof. Dr. Erdoğan Çiçek Nevşehir Haci Bektaş Veli Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Acta Adriatica (Q4)
Dergi ISSN 0001-5113 Dergi Bilgileri (2022)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 12-2022
Cilt / Sayı / Sayfa 63 / 2 / 215–224 DOI 10.32582/aa.63.2.6
Makale Linki https://acta.izor.hr/ojs/index.php/acta/article/view/1164
UAK Araştırma Alanları
Su Ürünleri Temel Bilimler
Özet
GULDBERG & BRUNO, 2010), causing ecological imbalance and introducing new species. Semienclosed marine ecosystems such as the Black Sea, the Baltic Sea, and the Caspian Sea are more affected by such changes (JAVIDPOUR et al., 2006; OĞUZ et al., 2008; JASPER et al., 2018).In particular, opportunistic gelatinous macrozooplankton species have caused the food chain of “phytoplankton-zooplankton-small pelagic fish” in the Black Sea ecosystem to change into “phytoplankton-zooplankton-gelatinous zooplankton”(KIDEYS, 2002). The gelatinous Mnemiopsis leidyi, introduced into the ecosystem in the late 1980s and soon became dominant in the Black Sea, was shown to have negative effects on the food web. In the Black Sea, which was already affected by various effects, especially overfishing and climate change, this ctenophore has led to a considerable decrease in fish catches
Anahtar Kelimeler
conservation | management | model | Non-indigenous invasive species | remote sensing
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 1
Scopus 2
Google Scholar 2
Modeling the spatial distribution of the ctenophoreMnemiopsis leidyi A. Agassiz, 1865 in the Black Seausing a fuzzy rule-based system

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