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Using spatial distribution modeling of commercial species to inform management of small‐scale fisheries in a Mediterranean marine protected area.

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Title: Using spatial distribution modeling of commercial species to inform management of small‐scale fisheries in a Mediterranean marine protected area.
Authors: La Manna, G.1,2,3 (AUTHOR) gabriella.lamanna@gmail.com, Ronchetti, F.3 (AUTHOR), Moro Merella, M.1 (AUTHOR), Vargiu, R.1 (AUTHOR), Perretti, F.3 (AUTHOR), Ceccherelli, G.1,2,3 (AUTHOR)
Source: Ecology & Evolution (20457758). Sep2024, Vol. 14 Issue 9, p1-12. 12p.
Subject Terms: *Marine parks & reserves, *Marine resources, *Fisheries, *Marine resources conservation, Fishery closures, Small-scale fisheries
Abstract: Marine protected areas (MPAs) make an essential contribution to the spatial management of critical areas, the conservation of coastal species exploited by human activities, and the sustainable use of marine resources. Within MPAs, fishing closure areas are among the most used small‐scale fishery management tools, even though their effectiveness largely remains untested or controversial. To reduce the impact of small‐scale fisheries on marine resources, a seasonal fishing closure area (SFCA) was established beginning in 2022 in autumn–winter season inside the Capo Caccia–Isola Piana MPA (Sardinia, northwestern Mediterranean Sea). Here, we assessed a posteriori whether the areas of higher habitat suitability for eight species/taxa of relevant ecological value and economic interest to small‐scale fisheries were included in the established SFCA, adequately meeting the ecological objectives of the MPA. Thus, landing data (from 2019 to 2023) were used as occurrence records to develop MaxEnt distribution models for the eight target species/taxa. The model outputs allow us to draw important insights about the spatial adequacy of the SFCA established within the MPA aimed to protect the most exploited marine resources. Furthermore, the modeling exercises were useful for understanding the local processes influencing species' habitat selection and to identify essential areas for the target species that could remain unrevealed in larger‐scale investigations. [ABSTRACT FROM AUTHOR]
Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Using spatial distribution modeling of commercial species to inform management of small‐scale fisheries in a Mediterranean marine protected area.
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  Data: <searchLink fieldCode="AR" term="%22La Manna%2C+G%2E%22">La Manna, G.</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> gabriella.lamanna@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ronchetti%2C+F%2E%22">Ronchetti, F.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moro Merella%2C+M%2E%22">Moro Merella, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vargiu%2C+R%2E%22">Vargiu, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Perretti%2C+F%2E%22">Perretti, F.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ceccherelli%2C+G%2E%22">Ceccherelli, G.</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Ecology+%26+Evolution+%2820457758%29%22">Ecology & Evolution (20457758)</searchLink>. Sep2024, Vol. 14 Issue 9, p1-12. 12p.
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  Data: *<searchLink fieldCode="DE" term="%22Marine+parks+%26+reserves%22">Marine parks & reserves</searchLink><br />*<searchLink fieldCode="DE" term="%22Marine+resources%22">Marine resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Fisheries%22">Fisheries</searchLink><br />*<searchLink fieldCode="DE" term="%22Marine+resources+conservation%22">Marine resources conservation</searchLink><br /><searchLink fieldCode="DE" term="%22Fishery+closures%22">Fishery closures</searchLink><br /><searchLink fieldCode="DE" term="%22Small-scale+fisheries%22">Small-scale fisheries</searchLink>
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  Data: Marine protected areas (MPAs) make an essential contribution to the spatial management of critical areas, the conservation of coastal species exploited by human activities, and the sustainable use of marine resources. Within MPAs, fishing closure areas are among the most used small‐scale fishery management tools, even though their effectiveness largely remains untested or controversial. To reduce the impact of small‐scale fisheries on marine resources, a seasonal fishing closure area (SFCA) was established beginning in 2022 in autumn–winter season inside the Capo Caccia–Isola Piana MPA (Sardinia, northwestern Mediterranean Sea). Here, we assessed a posteriori whether the areas of higher habitat suitability for eight species/taxa of relevant ecological value and economic interest to small‐scale fisheries were included in the established SFCA, adequately meeting the ecological objectives of the MPA. Thus, landing data (from 2019 to 2023) were used as occurrence records to develop MaxEnt distribution models for the eight target species/taxa. The model outputs allow us to draw important insights about the spatial adequacy of the SFCA established within the MPA aimed to protect the most exploited marine resources. Furthermore, the modeling exercises were useful for understanding the local processes influencing species' habitat selection and to identify essential areas for the target species that could remain unrevealed in larger‐scale investigations. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Sep2024
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