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

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 effect...

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Main Authors: Ivelina Zlateva, Violin Raykov, Violeta Slabakova, Elitsa Stefanova, Kremena Stefanova
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Oceanologia
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0078323422000719
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author Ivelina Zlateva
Violin Raykov
Violeta Slabakova
Elitsa Stefanova
Kremena Stefanova
author_facet Ivelina Zlateva
Violin Raykov
Violeta Slabakova
Elitsa Stefanova
Kremena Stefanova
author_sort Ivelina Zlateva
collection DOAJ
description 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.
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spelling doaj.art-be550dbf14524fccbcd8e59e69befbb22022-12-22T02:06:29ZengElsevierOceanologia0078-32342022-10-01644665674Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factorsIvelina Zlateva0Violin Raykov1Violeta Slabakova2Elitsa Stefanova3Kremena Stefanova4Corresponding author at: Institute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, Bulgaria.; Institute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, BulgariaInstitute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, BulgariaInstitute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, BulgariaInstitute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, BulgariaInstitute of Oceanology “Fridtjof Nansen”, Bulgarian Academy of Sciences, Varna, BulgariaOver 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.http://www.sciencedirect.com/science/article/pii/S0078323422000719Habitat suitabilitySpatial distributionMaxEntBiotic interactionsAbiotic variablesBlack Sea
spellingShingle Ivelina Zlateva
Violin Raykov
Violeta Slabakova
Elitsa Stefanova
Kremena Stefanova
Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors
Oceanologia
Habitat suitability
Spatial distribution
MaxEnt
Biotic interactions
Abiotic variables
Black Sea
title Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors
title_full Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors
title_fullStr Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors
title_full_unstemmed Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors
title_short Habitat suitability models of five keynote Bulgarian Black Sea fish species relative to specific abiotic and biotic factors
title_sort habitat suitability models of five keynote bulgarian black sea fish species relative to specific abiotic and biotic factors
topic Habitat suitability
Spatial distribution
MaxEnt
Biotic interactions
Abiotic variables
Black Sea
url http://www.sciencedirect.com/science/article/pii/S0078323422000719
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