Erratum to: Biomass HotSpot distribution model and spatial interaction of two exploited species of horse mackerel in the south-central Mediterranean Sea

Milisenda, Giacomo; Garofalo, Germana; Samia, Fezzani; Okbi, Rjeibi; Jarboui, Othman; Bachra, Chemmam; Ceriola, Luca; Bonanno, A.; Genovese, Simona; Basilone, Gualtiero; Roberta, Mifsud; Lauria, Valentina; Gristina, Michele; Colloca, Francesco; Fiorentino, Fabio

doi:10.1007/s10750-017-3378-x

Cited by 10 publications

(13 citation statements)

References 61 publications

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“…The main persistence areas of small-sized horse mackerel were found in shallower waters (∼100 m) than those of the other two species. As observed in previous studies the deep shelf habitats seem play a key role for the recruitment of horse mackerel (Milisenda et al, 2017a;Rumolo et al, 2017). This pattern of distribution in areas around 100 m depth makes juveniles of horse mackerel the ones with the highest spatial extension values of overlap between IP and EPI, compared to other species (Table 2).…”

Section: Discussionsupporting

confidence: 75%

Identifying Persistent Hot Spot Areas of Undersized Fish and Crustaceans in Southern European Waters: Implication for Fishery Management Under the Discard Ban Regulation

et al. 2021

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The recent establishment of the “landing obligation” under the reformed EU Common Fishery Policy has the twofold objective of reducing the excessive practice of discarding unwanted catch at sea and encouraging more selective and sustainable fisheries. Within this context, the awareness of the spatial distribution of potential unwanted catches is important for devising management measures aimed to decrease discards. This study analyzed the distribution of Hot Spot density areas of demersal fish and crustaceans below the Minimum Conservation Reference Size (MCRS) in four different southern European seas: continental Portuguese coast, Catalan Sea, South of Sicily, Liguria and northern Tyrrhenian Seas using both bottom trawl survey data and information on the spatial distribution of commercial fisheries. Critical areas for discarding were identified as zones where the highest densities of individuals below MCRS were consistently recorded throughout a series of years. Results clearly showed a patchy distribution of undersized individuals in each investigated area, highlighting the overlap between high density patches of both discards and fishing effort. The present findings provide a relevant knowledge for supporting the application of spatial-based management actions, such as the designation of Fisheries Restricted Areas (FRAs), in order to minimize the by-catch of undersized specimens and improve the sustainability of demersal fisheries.

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Section: Discussionsupporting

confidence: 75%

Identifying Persistent Hot Spot Areas of Undersized Fish and Crustaceans in Southern European Waters: Implication for Fishery Management Under the Discard Ban Regulation

et al. 2021

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“…This pattern, however, results from the contrasting responses of two groups of species, because optimal habitat availability declines for common scabbardfish, Atlantic horse mackerel and Atlantic chub mackerel but remains largely unchanged for Mediterranean horse mackerel and European barracuda (see species-specific results in Supplementary Material). The contrast between Atlantic and Mediterranean horse mackerels is particularly illustrative, as the former is a cold-water species whose abundance is highly dependent on bottom temperature, whereas the Mediterranean horse mackerel is more thermophilic (Milisenda et al, 2018). Hence, species replacement is expected in the foreseeable future within the group of medium pelagics, which is also probably the case for the European barracuda and the yellowmouth barracuda (Sphyraena viridensis).…”

Section: Discussionmentioning

confidence: 99%

Fisheries-enhanced pressure on Mediterranean regions and pelagic species already impacted by climate change

Ouled-Cheikh

Coll

Cardona

et al. 2022

Elementa: Science of the Anthropocene

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Marine species are widely threatened by anthropogenic activities, including fishing and human-induced climate change. However, geographically broad and spatially explicit assessments of the simultaneous impacts of these major threats at regional scales are mostly lacking due to the practical challenges of surveying vast geographical areas and obtaining adequately resolved data. Yet, these assessments are key for identifying highly and cumulatively impacted areas and species that should be prioritized for conservation through knowledge-based management strategies. Here, we analysed a 26-year (1993–2018) time series of highly resolved remotely sensed environmental data to evaluate changes in optimal habitat availability (i.e., extent of marine areas encompassing optimal environmental conditions) for 15 species representative of small, medium and large pelagic fish inhabiting the Mediterranean Sea Large Marine Ecosystem. We then combined spatial and temporal data on fishing pressure and changes in optimal habitats to identify areas of high risk of cumulative impacts. Overall, results show how most of the studied Mediterranean pelagic species experienced a reduction in optimal habitat availability over the past decades. The few species that showed positive trends in optimal habitat availability expanded only to a small degree and hence were unlikely to compensate for the loss of key functional roles at the group level. Habitat loss concentrated in the western and central regions. Similarly, fishing pressure was found to be higher in these regions, thus overlapping with the areas experiencing a higher reduction of optimal habitat. Small and large pelagic fish were the most impacted groups, having a larger proportion of their distributions in highly, cumulative impacted areas. Redistributing fishing pressure and reducing it in highly impacted areas may alleviate the overall cumulative pressure on pelagic stocks, contributing to the necessary shift to sustainable and resilient fisheries that would ensure food security and a healthy ecosystem in this highly impacted basin.

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“…Specifically, satellite data derived chlorophyll-a concentration (CHL in mg m −3 ), sea surface water potential temperature (SST in °C), bottom seawater potential temperature (BST in °C), dissolved oxygen (O 2 in mmol m −3 ), net primary production (NPP in mol m − 3 ), phytoplankton concentration (PHYC in mol m −3 ), sea surface salinity (SSS in PSU), and sea-level anomaly (SLA in m) were downloaded from the Copernicus Marine Services (Escudier et al, 2020;Clementi et al, 2021;Cossarini et al, 2021), in the period 2004-2021, while depth in meters was downloaded from the MARSPEC database (Sbrocco and Barber, 2013). The POLCOM-ERSEM model (Kay, 2020) of total chlorophyll-a concentration (CHLT in mg m −3 ) and sea surface water potential temperature (SSTF in °C) under IPCC RCP 4.5 and 8.5 scenarios were downloaded from the Climate Data Storage for the contemporary period (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021), short-term projections (2029-2049), mid-term projections (2054-2074), and long-term projections (2079-2099). All environmental variables were downloaded at the maximum resolution, and only the layer at 5 m depth was retained for computations except for BST and SLA (see Supplementary Table S1 for more details).…”

Section: Environmental Datamentioning

confidence: 99%

“…Since there is often a noticeable shift in the scale of the IPCCstyle model variables when compared to observed satellite oceanographic conditions, we compared the temperature and chlorophyll-a concentration between the hindcast (Copernicus) and model (POLCOM-ERSEM) in the overlapping period (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021). Hence, we calculated the differences between the two datasets and adjusted the model-derived variable following the delta model bias correction approach described in Hare et al (2012).…”

Section: Future Projectionsmentioning

confidence: 99%

Modeling of the habitat suitability of European sprat (Sprattus sprattus, L.) in the Adriatic Sea under several climate change scenarios

Palermino,

De Felice,

Canduci

et al. 2024

Front. Mar. Sci.

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The Mediterranean Sea represents the lower latitudinal limit of the European sprat range, where it is considered a sentinel species favoring temperate–cold temperatures. Sprattus sprattus is a plankton feeder that plays an important ecological role in contributing to the transfer of energy from lower to higher trophic levels, but climate-driven increases in sea temperatures may reduce the suitability of the pelagic habitat and threaten the tropho-dynamic role of sprat in areas such as the Adriatic Sea. The latter is an enclosed basin characterized by shallow waters and high annual temperature variations. Here, to investigate present and future habitat suitability areas for sprat, we applied four species distribution models (SDMs) using fishery-independent data collected from 2004 to 2021, along with remotely sensed and modeled environmental variables. A set of nine environmental predictors was tested, and the resulting best model was averaged in an ensemble model approach. The best ensemble models revealed good to high accuracy (sensitivity and specificity ≥ 0.8). The sea surface temperature and chlorophyll concentration emerged as the main explanatory variables in predicting the potential habitat of sprats, followed by bathymetry. The resulting probability of occurrence maps revealed that the species is bounded in the northern Adriatic Sea, where a longitudinal shift of high-suitability habitats from inshore to deeper and colder waters was detected between early and late summer. Future projections under IPCC representative concentration pathway (RCP) scenarios 4.5 (intermediate emission) and 8.5 (high emission-warm) underline small changes along with a gain of new areas in late summer in the short-term period up to 2050. Conversely, the temperature increase projected for the end of the century is predicted to cause a loss of suitable habitat area for sprats of up to 88% under a high emission-warm scenario relative to current habitat occupancy throughout the basin.

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Erratum to: Biomass HotSpot distribution model and spatial interaction of two exploited species of horse mackerel in the south-central Mediterranean Sea

Cited by 10 publications

References 61 publications

Identifying Persistent Hot Spot Areas of Undersized Fish and Crustaceans in Southern European Waters: Implication for Fishery Management Under the Discard Ban Regulation

Identifying Persistent Hot Spot Areas of Undersized Fish and Crustaceans in Southern European Waters: Implication for Fishery Management Under the Discard Ban Regulation

Fisheries-enhanced pressure on Mediterranean regions and pelagic species already impacted by climate change

Modeling of the habitat suitability of European sprat (Sprattus sprattus, L.) in the Adriatic Sea under several climate change scenarios

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