Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors

Zlateva, Ivelina; Raykov, Violin; Slabakova, Violeta; Stefanova, Elitsa S.; Stefanova, Kremena B.

doi:10.1016/j.oceano.2022.06.002

Artykuł - szczegóły

Tytuł artykułu

Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors

Autorzy

Zlateva Ivelina , Raykov Violin , Slabakova Violeta , Stefanova Elitsa S. , Stefanova Kremena B.

Wybrane pełne teksty z tego czasopisma

Identyfikatory

DOI

10.1016/j.oceano.2022.06.002

Warianty tytułu

Języki publikacji

Abstrakty

Over the past few years, predicting species spatial distributions has been recognized as a powerful tool for studying biological invasions in conservation biology and planning, ecology, and evolutionary biology. Species spatial distribution models (SDMs) are used extensively for assessing the effects of changes in habitat suitability, the impacts of climate change, and the realignment of the existing conservation priorities. SDMs relate known patterns of species occurrences to a specific set of environmental conditions. Accordingly, we have used MaxEnt SDM tool in order to provide habitat suitability models of 5 keynote fish species: European sprat (Sprattus sprattus L.), red mullet (Mullus barbatus, L.), horse mackerel (Trachurus mediterraneus, L.), bluefish (Pomatomus saltatrix, L.) and whiting (Merlangius merlangus, L.), inhabiting the Bulgarian region of the Black Sea. Presence-only (PO) data collected by pelagic surveys performed between 2017 and 2019 was further utilized to link known species occurrence localities with selected abiotic factors, such as surface sea temperature and salinity, dissolved oxygen, and speed of currents. Biotic interactions were also considered for fitting the patterns of habitat suitability models. The SDMs, obtained from the present research study, prove to have satisfactory predictive accuracy to be further implemented for conservation measures and planning, stock management policy-making, or ecological forecasting.

Słowa kluczowe

habitat suitability spatial distribution MaxEnt biotic interactions abiotic variables Black Sea

Wydawca

Polish Academy of Sciences, Institute of Oceanology
Elsevier

Czasopismo

Oceanologia

Rocznik

2022

Tom

No. 64 (4)

Strony

665--674

Opis fizyczny

Bibliogr., 67 poz., rys., tab., wykr.

Twórcy

autor

Zlateva Ivelina

ibikarska@yahoo.com

Institute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, Bulgaria

https://orcid.org/0000-0003-4133-5627

autor

Raykov Violin

Institute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, Bulgaria

https://orcid.org/0000-0003-4322-6352

autor

Slabakova Violeta

Institute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, Bulgaria

https://orcid.org/0000-0002-3089-0126

autor

Stefanova Elitsa S.

Institute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, Bulgaria

autor

Stefanova Kremena B.

Institute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, Bulgaria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

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Bibliografia

Identyfikator YADDA

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