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Coasts, Volume 4, Issue 4 (December 2024) – 7 articles

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18 pages, 3789 KiB  
Article
Effectiveness of Eco-Engineering Structures in Salt Marsh Restoration: Using Benthic Macroinvertebrates as Indicators of Success
by Carlos Gonçalves, Tiago Verdelhos, Isabel Caçador and Helena Veríssimo
Coasts 2024, 4(4), 740-757; https://doi.org/10.3390/coasts4040039 (registering DOI) - 20 Dec 2024
Abstract
Salt marshes are vital coastal ecosystems, increasingly threatened by rising sea level and human pressures, that provide essential services, including coastal protection, habitat support, and carbon sequestration. This study examines the effectiveness of different eco-engineering structures in restoring salt marshes in the Mondego [...] Read more.
Salt marshes are vital coastal ecosystems, increasingly threatened by rising sea level and human pressures, that provide essential services, including coastal protection, habitat support, and carbon sequestration. This study examines the effectiveness of different eco-engineering structures in restoring salt marshes in the Mondego Estuary, Portugal, by assessing their impacts on benthic macroinvertebrate communities as bioindicators of ecosystem health. The experimental design included five experimental cells: wood palisade (Fence), geotextile fabric (Geotextile), geotextile bags filled with sand (Bags), a cell with autochthonous vegetation (Plants), and a Control cell with bare soil. Monitoring took place from 2019 to 2021, with both before and after intervention sampling to evaluate species composition, biomass, and density. Key ecological indices, such as the AZTI’s Marine Biotic Index (AMBI), Shannon-Wiener Diversity, and Pielou’s Evenness, were calculated alongside measurements of environmental variables. The results indicated minimal impacts on biodiversity, with observed variations primarily attributed to seasonal dynamics. While the wood palisade enhanced species richness and density, geotextile provided better community stability. The findings emphasize the importance of long-term monitoring, stakeholder engagement, and sustainable use of materials to optimize restoration efforts and better inform coastal management strategies in the face of climate change. Full article
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<p>Study site and aerial view of the experimental area (40°08′01.3″ N 8°48′05.8″ W), showing the different material cells and their orientation.</p>
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<p>Principal Component Analysis (PCA) ordination diagram of environmental variables (Temperature, Salinity, ORP, Organic Matter (OM), Sand and O<sub>2</sub>), with data points labelled by “Local” (Experimental cells: Control, Plants, Fence, Geotextile, and Bags).</p>
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<p>Principal Component Analysis (PCA) ordination diagram of environmental variables (Temperature, Salinity, ORP, Organic Matter (OM), Sand and O<sub>2</sub>), with data points labelled by “Year” (2019, 2020 and 2021).</p>
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<p>Number of species (N Species), Total Density and Total Biomass recorded for the five experimental cells: Control, Plants, Fence, Geotextile, and Bags, over the 3-year study period (2019 to 2021).</p>
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<p>Principal Coordinates Analysis (PCO) plot of density data illustrating the significant interaction between experimental cells (Control, Plants, Fence, Geotextile, and Bags represented by symbols) and years (2019, 2020, and 2021, represented by colors).</p>
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<p>Principal Coordinates Analysis (PCO) plot of biomass data, color-coded for the factor “Local” (Control, Plants, Fence, Geotextile, and Bags).</p>
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<p>Principal Coordinates Analysis (PCO) plot of biomass data, color-coded for the factor “Year” (2019, 2020 and 2021).</p>
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<p>Ecological indices (Shannon-Wiener, Pielou and AMBI) for the five experimental cells (Control, Plants, Fence, Geotextile, and Bags) over the three-year study period (2019, 2020, and 2021).</p>
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14 pages, 1776 KiB  
Review
Mangrove Area Trends in Mexico Due to Anthropogenic Activities: A Synthesis of Five Decades (1970–2020)
by Pablo Antúnez
Coasts 2024, 4(4), 726-739; https://doi.org/10.3390/coasts4040038 - 28 Nov 2024
Viewed by 511
Abstract
This paper presents a meta-analysis of mangrove area in Mexico, using linear mixed models to assess trends from 1970 to 2020. The objective is to highlight the changes in the extent of these vital ecosystems over the past five decades. The analysis reveals [...] Read more.
This paper presents a meta-analysis of mangrove area in Mexico, using linear mixed models to assess trends from 1970 to 2020. The objective is to highlight the changes in the extent of these vital ecosystems over the past five decades. The analysis reveals a concerning decline of approximately 163.33 hectares per year from 1970 to 2005. Although a rebound was observed starting in 2016—likely due to effective conservation efforts—these ecosystems continue to decline overall. The states that have shown a consistent decline in mangrove area include Campeche, Sinaloa, Nayarit, Chiapas, Veracruz, Oaxaca, Guerrero, Colima, and Jalisco. Threats to mangroves vary significantly by region. In the North Pacific, the expansion of aquaculture farms has contributed to over 60% of mangrove loss. In contrast, the Yucatán Peninsula faces challenges from urban development, oil exploitation, and road expansion. Additionally, tourism activities have severely impacted the states of Colima, Jalisco, Guerrero, and Quintana Roo. In the Gulf of Mexico, the primary threats include aquaculture, transportation routes, and hydraulic infrastructure. Based on these findings, seven action strategies for the ecological restoration of mangroves are proposed. These strategies, drawn from successful case studies and existing literature, include: comprehensive restoration initiatives, expansion of research and data sources, updates to current regulations, regulation of anthropogenic activities, inter-institutional coordination, education and awareness-raising efforts, and continuous monitoring and evaluation. Full article
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<p>Map of the five regions in Mexico with mangrove forests, adapted from CONABIO’s 2020 map.</p>
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<p>(<b>A</b>) Net change in mangrove area in Mexico from 1996 to 2020, based on Global Mangrove Watch data, and (<b>B</b>) Trend of marginal mean mangrove area from 1970 to 2020, derived from a generalized linear mixed model based on historical records compiled by CONABIO [<a href="#B10-coasts-04-00038" class="html-bibr">10</a>].</p>
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<p>Marginal means calculated from a linear mixed-effects model of disturbed mangrove surface area from 1970 to 2020, using years as a fixed effect and states as a random effect.</p>
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<p>Boxplots showing anthropogenic activities driving mangrove area loss in Mexico (2005–2015). (<b>A</b>) Activities contributing to mangrove loss from 2005 to 2015. (<b>B</b>) Comparison of the most impactful activities in 2005, 2010 and 2015. Act. 1 is airports and runways; Act. 2 is aquaculture farms and artificial ponds; Act. 3 is hydraulic infrastructure; Act. 4 is Settlements; Act. 5 is transport; Act. 6 is Building zones; Act. 7 is industrial zones; Act. 8 is port zones; Act. 9 is touristic zones; and Act. 10 is Reclassification zones.</p>
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<p>Comparison of mangrove area between the initial year and the years 2005, 2010, 2012, 2015 and 2020.</p>
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29 pages, 41830 KiB  
Article
Beaches’ Expulsion from Paradise: From a Natural to an Artificial Littoral in Tuscany (Italy)
by Enzo Pranzini, Irene Cinelli and Giorgio Anfuso
Coasts 2024, 4(4), 697-725; https://doi.org/10.3390/coasts4040037 - 22 Nov 2024
Viewed by 944
Abstract
This study investigated the shoreline evolution of the Tuscany coast (Italy) from 1878–1883 to 2019. The 205 km sandy coastline, divided into 821 sectors, each one 250 m long, was analyzed to understand how human activities have altered this once-pristine coast. Sub-period analyses [...] Read more.
This study investigated the shoreline evolution of the Tuscany coast (Italy) from 1878–1883 to 2019. The 205 km sandy coastline, divided into 821 sectors, each one 250 m long, was analyzed to understand how human activities have altered this once-pristine coast. Sub-period analyses highlighted the impacts, both positive and negative, of various shore-protection projects. Initially, regional beaches were undeveloped and accreting, except for a few river deltas where alternating phases of erosion and accretion were observed. Coastal erosion began at deltas’ areas due to the reduction in sediment inputs and, at other areas, enhanced by the development of human settlements and tourism activities. This triggered the construction of protection structures that shifted erosion processes downdrift, a process that induced the downdrift extension of the structures (according to the “domino” effect), determining the transformation of a completely natural and resilient environment into a largely rigid one. Beach nourishment projects, mostly using inland quarries, added about 1 million cubic meters of sediment from the 1980s to 2019. Currently, 57.8% of beaches are larger than in the 1880s, 9.4% did not change and 32.8% are narrower. Overall, the Tuscan coast gained 6.5 km2 of beach surface with an average shoreline advancement of 32 m. Recent trends (2005–2019) show that 37.7% of the coast is eroding, 21.1% is stable, and 41.2% is accreting, with a total surface area increase of about 200,000 m2. The beach surface area is still increasing despite the existing reduced sediment input due to the limited sediment loss resulting from the presence of morphological cells enclosed by very prominent headlands and the absence of submarine canyons that would otherwise direct sediments to the continental shelf. Full article
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<p>Location map of the study area (in red the coast of continental Tuscany).</p>
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<p>San Rocco fort at the time of its building (1792) and its position today (Google Earth image April 2022).</p>
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<p>The wooden pier for marble loading at Forte dei Marmi (Marble Fort) and one of the first bathing establishments present on the IGM topographic map (1878).</p>
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<p>Physiographic sketch of the continental Tuscany coast showing main littoral cells, longshore transport directions, long-term evolution and shore-protection structures. Extreme values of offshore waves, i.e., significant wave height (H<sub>s</sub>), associated mean period (T<sub>m</sub>) and approaching direction values for three European Centre for MediumRange Weather Forecasts points are also reported [<a href="#B15-coasts-04-00037" class="html-bibr">15</a>].</p>
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<p>Pie charts showing the percentage of beaches undergoing erosion, stability and sedimentation for the 1881–2019 (<b>a</b>), 1881–1954 (<b>b</b>), 1954–1984 (<b>c</b>), 1984–2005 (<b>d</b>) and 2005–2019 (<b>e</b>) time spans. Note that the classes’ boundaries are not the same in the five graphs since they are consistent with the accuracy of the data used to characterize each interval.</p>
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<p>Long-term (<b>a</b>), 1881–2019, and recent (<b>b</b>), 2005–2019, shoreline displacement along the Northern Tuscany cell (<a href="#coasts-04-00037-f001" class="html-fig">Figure 1</a> and <a href="#coasts-04-00037-f004" class="html-fig">Figure 4</a>). Recent works that could have influenced coastal evolution are shown in red. Note: the vertical scale is different in the two graphs.</p>
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<p>Coastal evolution after Carrara harbor (1880–1954) and shore-protection structures’ (1954–1984) construction.</p>
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<p>The coast downdrift the Marina di Carrara harbor. The red arrow shows the coastal road that, until the 1930s, was running along the whole coast (authors’ photo, 8 November 2005).</p>
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<p>Shore-protection structures at Marina di Massa, with groins connected at their tips by a submerged (−0.5 m) detached breakwater (Photo Provincia di Livorno, 18 July 2007).</p>
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<p>Marina di Pisa was established at the end of the 19th century on the southern lobe of the Arno River delta, coinciding with the conclusion of the progradation phase (Istituto Geografico Militare, I.G.M., historical maps).</p>
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<p>Marina di Pisa: late 19th–early 20th century wooden coastal protections in an undated postcard, probably from the first decade of the 20th century.</p>
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<p>Marina di Pisa: converting hard structures into gravel beaches (from 1996 to 2020; authors’ photos).</p>
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<p>The cost south of Marina di Pisa (Sectors 215–220, <a href="#coasts-04-00037-f006" class="html-fig">Figure 6</a>b; Google Earth image acquired on 30 April 2024 and authors’ photo, 25 June 2004).</p>
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<p>The ‘low-accretion’ areas in the central part of this littoral cell over the long period (sectors nos. 80–90) can be explained by the reduction of sediment input from two small rivers but under the continuous arrival of sand from the north according to the predominant drift direction indicated by black arrows in the figure.</p>
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<p>Beach long-term (<b>a</b>), 1879–2019, and recent (<b>b</b>), 2005–2019, evolution of the Central Tuscany cell.</p>
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<p>Villa Ginori (indicated by a red arrow in the map), built in the early 18th century at the mouth of the Cecina River, is depicted in a print by Zocchi dated 1744, and its location is shown in the 1881 topographic map, illustrating beach progradation during the 18th and 19th centuries. However, such progradation was not continuous and may have been reversed, as suggested by other documents.</p>
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<p>The early development of Marina di Cecina according to the first editions of the I.G.M. map (1883 at 1:50,000: 1908 and 1938 at 1:25,000).</p>
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<p>The present configuration of Marina di Cecina shore-protection project and the new marina (Google Earth image acquired on 5 April 2022).</p>
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<p>(<b>a</b>) Authors’ photos of dune erosion and fallen pine trees south of Marina di Cecina (May, 2019) and (<b>b</b>) one of the eight artificial shoals under construction south of Marina di Cecina. On the left side of the photo, the salient soon formed is visible, along with the gravel used for beach nourishment (approx. 7000 m<sup>3</sup>).</p>
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<p>Beach long-term (<b>a</b>), 1878–2019, and recent (<b>b</b>), 1984–2005, evolution of the Follonica littoral cell. Recent works that could have influenced coastal evolution are marked in red. Vertical scale is different in the two graphs.</p>
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<p>Beach long-term (<b>a</b>), 1878–2019, and recent (<b>b</b>), 1984–2005, evolution of the Follonica littoral cell. Recent works that could have influenced coastal evolution are marked in red. Vertical scale is different in the two graphs.</p>
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<p>Beach response to the project carried out in the central part of the Follonica Gulf in the 1980s–1990s (pre- and post-work available shorelines).</p>
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<p>Marina di Scarlino and the beach expansion from 2000 to 2004. On the dry beach, piles of sand accumulated, intended to be transported a few hundred meters further north (Basemap Google Earth image, 2004). The small upper image shows the position of the marina within the Gulf of Follonica.</p>
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<p>Gravel nourishment stabilized by submerged groins. Salients are formed at the groins’ root. The revetment is at least twenty years older (authors’ photo, 31 May 2016).</p>
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<p>Beach evolution from 1883 to 2019 in the Ombrone River littoral cell. The lower accretion recorded at Collelungo is due to the fact that, in 1883, it constituted a small headland.</p>
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<p>Collelungo watchtower was built in the 16th century on a headland that, according to the 1883 I.G.M. map, was still protruding out of the shoreline and functioning like a groin. In the 1950s, it was still possible to dive from the rocks, but now there is a 70 m wide beach in front.</p>
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<p>Ombrone River delta in the Maremma Regional Park: (<b>a</b>) detached breakwater constructed to protect a house, now reached by the beach, on the northern side of the delta; (<b>b</b>) cusp formed by a submerged groin on the southern side of the delta. Waves breaking on the structure are visible, too (authors’ photos, 22 May 2020).</p>
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<p>The bypass active at the port of Marina di Grosseto: pipes discharge sand on the northern side (downdrift) of the jetties (authors’ photo, 6 January 2015).</p>
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<p>Castiglione della Pescaia: inversion of longshore sediment transport (yellow arrows) caused by wave diffraction and reflection (wave orthogonals in blue) along a shore oblique structure (base Google earth image acquired on 3 September 2023). In the upper right box: houses constructed on the dunes in the 1960s and 1970s and the detached breakwaters built for their protection (authors’ photo 6 January 2015).</p>
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10 pages, 2074 KiB  
Communication
Environmental DNA Detection in Marine Macrophyte Ecosystems as a Potential Blue Carbon Source in Sediments
by Qikun Xing, Samuel J. Kim and Charles Yarish
Coasts 2024, 4(4), 687-696; https://doi.org/10.3390/coasts4040036 - 20 Nov 2024
Viewed by 721
Abstract
“Blue carbon” refers to the carbon sequestered by the world’s oceanic and coastal ecosystems, particularly through coastal vegetation such as mangroves, salt marshes, seagrasses, and marine macroalgae. These ecosystems play a crucial role in the global carbon cycle by serving as significant carbon [...] Read more.
“Blue carbon” refers to the carbon sequestered by the world’s oceanic and coastal ecosystems, particularly through coastal vegetation such as mangroves, salt marshes, seagrasses, and marine macroalgae. These ecosystems play a crucial role in the global carbon cycle by serving as significant carbon sinks, absorbing carbon dioxide from the atmosphere and storing it in biomass and sediments over long periods. This study explores the use of environmental DNA (eDNA) to detect marine macrophytes and microalgae assemblages contributing to blue carbon in sediments across various coastal ecosystems. The research addresses the challenges of traditional monitoring methods by utilizing high-throughput sequencing of the 18S-V9 region amplified using eDNA from sediment samples collected at eight locations in the United States and South Korea. The results reveal a diverse array of taxa, underscoring the variability in community composition across different conditions. Notably, sites with seagrass beds and Ulva blooms showed distinct patterns in microalgal community structure. This study underscores the potential of eDNA analysis in providing comprehensive insights into the biodiversity of marine macrophyte ecosystems, thus informing conservation efforts and enhancing the understanding of marine ecological dynamics. Full article
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<p>Map of sampling sites in the United States and South Korea.</p>
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<p>Composition of eukaryotic organisms’ DNA reads in six sites.</p>
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<p>Relative abundance of DNA reads of microalgae in six sites.</p>
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<p>Composition of microalgae’s DNA reads in six sites.</p>
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20 pages, 46691 KiB  
Article
A First Approach to the Marine Heterobranchia (Mollusca: Gastropoda) Fauna of Marettimo, Egadi Islands, MPA (Western Sicily, Mediterranean Sea)
by Andrea Lombardo and Giuliana Marletta
Coasts 2024, 4(4), 667-686; https://doi.org/10.3390/coasts4040035 - 19 Nov 2024
Viewed by 317
Abstract
For almost all the Sicilian islands, there are no faunistic data concerning marine Heterobranchia, which is one of the most sought-after groups of marine critters by photographers and diving enthusiasts all over the world. With the present study, carried out through underwater photography [...] Read more.
For almost all the Sicilian islands, there are no faunistic data concerning marine Heterobranchia, which is one of the most sought-after groups of marine critters by photographers and diving enthusiasts all over the world. With the present study, carried out through underwater photography at various dive sites and stretches of coastline in the island of Marettimo, we made the first contribution to the knowledge of the marine Heterobranchia fauna present on this island of the Egadi archipelago. Through data collection, it was possible to document the presence of 43 species of marine Heterobranchia. Data analysis showed a remarkable homogeneity in the number of species between the examined sites. This is probably due to the peculiar environmental homogeneity present in the sites of this island, which are almost all rich in the presence of both benthic suspension feeders (the favorite prey of many groups of marine Heterobranchia) and environments full of crevices, grottos, and vertical walls, which are the preferred habitats of the majority of these mollusks. The higher number of marine heterobranch species found in Marettimo compared to the smaller number of species found on the other recently examined Sicilian islands (Pantelleria, Lipari, and Vulcano) is probably due to the massive presence of rich coralligenous biocoenoses and the particular hydrodynamic regime to which Marettimo is subject. Full article
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<p>Study area (<b>A</b>) position of Sicily and its islands in the Mediterranean Sea. (<b>B</b>) Location of the Aegades/Egadi in Sicily. (<b>C</b>) The three Egadi islands. (<b>D</b>) Marettimo: the sites examined are indicated in white; specifically, the dive sites are represented by small rhombuses (abbreviations are reported in <a href="#coasts-04-00035-t001" class="html-table">Table 1</a>); the MPA areas and borders (blue: D zone; green: C zone; yellow: B zone; red: A zone) are also indicated in the images.</p>
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<p><span class="html-italic">Berthellina edwardsii</span>, (<b>A</b>) right-lateral view. <span class="html-italic">Pleurehdera stellata</span>, (<b>B</b>) dorsal view; (<b>C</b>) left dorso-lateral view. <span class="html-italic">Spurilla neapolitana</span> (<b>D</b>), two specimens.</p>
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<p><span class="html-italic">Caloria elegans</span>, (<b>A</b>) left antero-dorsal view; (<b>B</b>) right antero-dorsal view. <span class="html-italic">Cratena peregrina</span>, (<b>C</b>) a specimen with an egg mass; (<b>D</b>) left antero-dorsal view. <span class="html-italic">Facelina rubrovittata</span>, (<b>E</b>) dorsal view. <span class="html-italic">Facelinopsis marioni</span> (<b>F</b>), dorsal view.</p>
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<p><span class="html-italic">Edmundsella pedata,</span> (<b>A</b>) a specimen with an egg mass. <span class="html-italic">Flabellina affinis</span>, (<b>B</b>) left antero-lateral view; (<b>C</b>) an egg mass. <span class="html-italic">Paraflabellina gabinierei</span>, (<b>D</b>) a small egg mass; (<b>E</b>) a larger egg mass; (<b>F</b>) right dorso-lateral view; (<b>G</b>) left lateral view. <span class="html-italic">Paraflabellina ischitana</span>, (<b>H</b>) dorsal view; (<b>I</b>) right antero-lateral view.</p>
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<p><span class="html-italic">Nemesignis banyulensis</span>, (<b>A</b>) left antero-dorsal view. <span class="html-italic">Trinchesia caerulea</span>, (<b>B</b>) left later view; (<b>C</b>) left latero-dorsal view; (<b>D</b>) two specimens; (<b>E</b>) an egg mass. <span class="html-italic">Trinchesia genovae</span>, (<b>F</b>) dorsal view; (<b>G</b>) another specimen in dorsal view. <span class="html-italic">Trinchesia morrowae</span>, (<b>H</b>) antero-dorsal view; (<b>I</b>) dorsal view; (<b>J</b>) another individual in dorsal view. <span class="html-italic">Trinchesia ocellata</span>, (<b>K</b>) left lateral view; (<b>L</b>) right lateral view.</p>
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<p><span class="html-italic">Doto</span> sp., (<b>A</b>) an egg mass. <span class="html-italic">Candiella</span> sp. (<b>B</b>) Three specimens of <span class="html-italic">Leptogorgia sarmentosa</span> (Esper, 1791); (<b>C</b>) detail of one of the individuals. <span class="html-italic">Candiella striata</span>, (<b>D</b>) antero-dorsal view; (<b>E</b>) dorsal view; (<b>F</b>) left latero-dorsal view. <span class="html-italic">Antiopella cristata</span>, (<b>G</b>) dorsal view.</p>
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<p><span class="html-italic">Felimare fontandraui</span>, (<b>A</b>) right dorso-lateral view; (<b>B</b>) two specimens; (<b>C</b>) postero-dorsal view; (<b>D</b>) antero-dorsal view; (<b>E</b>) dorsal view; (<b>F</b>) right dorso-lateral view; (<b>G</b>) two specimens during mating. <span class="html-italic">Felimare tricolor</span>, (<b>H</b>) dorsal view; (<b>I</b>) antero-dorsal view; (<b>J</b>) dorsal view; (<b>K</b>) dorsal view; (<b>L</b>) dorsal view; (<b>M</b>) dorsal view; (<b>N</b>) two individuals during mating; (<b>O</b>) left dorso-lateral view; (<b>P</b>) dorsal view; (<b>Q</b>) dorsal view.</p>
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<p><span class="html-italic">Felimare villafranca,</span> (<b>A</b>) right latero-dorsal view; (<b>B</b>) dorsal view; (<b>C</b>) left latero-dorsal view; (<b>D</b>) dorsal view; (<b>E</b>) two individuals during mating. <span class="html-italic">Felimida binza</span>, (<b>F</b>) right latero-dorsal view; (<b>G</b>) antero-dorsal view; (<b>H</b>) dorsal view; (<b>I</b>) another specimen in dorsal view; (<b>J</b>) left antero-dorsal view; (<b>K</b>) two individuals. <span class="html-italic">Felimida krohni</span>, (<b>L</b>) left latero-dorsal view; (<b>M</b>) dorsal view; (<b>N</b>) a contracted specimen; (<b>O</b>) dorsal view.</p>
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<p><span class="html-italic">Felimida luteorosea</span>, (<b>A</b>) dorsal view; (<b>B</b>) left latero-dorsal view; (<b>C</b>) right latero-dorsal view; (<b>D</b>) left postero-dorsal view. <span class="html-italic">Felimida purpurea</span>, (<b>E</b>) right lateral view. <span class="html-italic">Peltodoris atromaculata</span>, (<b>F</b>) a specimen on the sponge <span class="html-italic">Crambe crambe</span> (Schmidt, 1862); (<b>G</b>) dorsal view; (<b>H</b>) left latero-dorsal view; (<b>I</b>) an egg mass. <span class="html-italic">Platydoris argo</span>, (<b>J</b>) an egg mass; (<b>K</b>) two concealed specimens.</p>
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<p><span class="html-italic">Goniodoridella picoensis</span>, (<b>A</b>) a specimen on the bryozoan <span class="html-italic">Nolella</span> sp. <span class="html-italic">Dendrodoris</span> sp., (<b>B</b>) an egg mass. <span class="html-italic">Doriopsilla rarispinosa</span>, (<b>C</b>) dorsal view. <span class="html-italic">Phyllidia flava</span>, (<b>D</b>) antero-dorsal view; (<b>E</b>) left lateral view of an individual with a lacking part of the mantle, which shows some of the ventrally located secondary gills of this species; (<b>F</b>) an egg mass; (<b>G</b>) dorsal view. <span class="html-italic">Haminoeidae</span> sp., (<b>H</b>) an egg mass; (<b>I</b>) another example of an egg mass. <span class="html-italic">Cephalaspidea</span> sp. (<b>J</b>) a contracted individual on the green algae <span class="html-italic">Halimeda tuna</span> (J. Ellis and Solander) J. V. Lamouroux.</p>
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<p><span class="html-italic">Aplysia dactylomela</span>, (<b>A</b>) right lateral view; (<b>B</b>) a normal cream-colored individual which follows a black one. <span class="html-italic">Aplysia punctata</span>, (<b>C</b>) a group of specimens on the red algae <span class="html-italic">Laurencia</span> sp.; (<b>D</b>) an individual with an egg mass; (<b>E</b>) a very small specimen. <span class="html-italic">Tylodina perversa</span>, (<b>F</b>) an individual with two strange and small objects (indicated by the two white arrows) which exit the shell (maybe parasites?).</p>
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<p><span class="html-italic">Bosellia mimetica</span>, (<b>A</b>) dorsal view of a green specimen; (<b>B</b>) a white individual; (<b>C</b>) a small specimen; (<b>D</b>) an egg mass; (<b>E</b>) a white individual and a green one during mating. <span class="html-italic">Elysia flava</span>, (<b>F</b>) dorsal view. <span class="html-italic">Elysia gordanae</span>, (<b>G</b>) dorsal view; (<b>H</b>) antero-dorsal view; (<b>I</b>) postero-dorsal view; (<b>J</b>) an egg mass on <span class="html-italic">Flabellia petiolata</span> (Turra) Nizamuddin. <span class="html-italic">Elysia timida</span>, (<b>K</b>) dorsal view. <span class="html-italic">Thuridilla hopei</span>, (<b>L</b>) dorsal view; (<b>M</b>) left lateral view; (<b>N</b>) right latero-dorsal view; (<b>O</b>) dorsal view; (<b>P</b>) a large specimen with many red dots (indicated by the white arrow), which shows the areas in which the penis of the partner entered the body cavity.</p>
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<p>Number of species found in the dive sites (the abbreviations are reported in <a href="#coasts-04-00035-t001" class="html-table">Table 1</a>).</p>
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<p>Number of species found along the sides of the islands during scuba dives.</p>
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<p>Principal component analysis (PCA) on the abundance data collected along the sides of the island during the scuba dives.</p>
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<p>Number of species found in the snorkeling sites (the abbreviations are reported in <a href="#coasts-04-00035-t002" class="html-table">Table 2</a>).</p>
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<p>Number of species found along the sides of the islands during the snorkeling activities.</p>
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<p>Principal component analysis (PCA) on the abundance data collected along the sides of the island during the snorkeling activities.</p>
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<p>Number of species found in the different MPA protection zones during both scuba dives and snorkeling activities.</p>
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16 pages, 508 KiB  
Article
Predicting the Ecological Risks of Phytoestrogens in Coastal Waters Using In Silico and In Vitro Approaches
by Luciana Lopes Guimarães, Bárbara Faria Lourenço, Fabio Hermes Pusceddu, Fernando Sanzi Cortez, Rafael Barreiros Kiyotani, Gilmar Aparecido dos Santos, Walber Toma and Vinicius Roveri
Coasts 2024, 4(4), 651-666; https://doi.org/10.3390/coasts4040034 - 15 Oct 2024
Viewed by 574
Abstract
Emerging pollutants, like phytoestrogens, are gaining attention in the scientific community for their impact on aquatic organisms. Nevertheless, there is a paucity of studies examining their effects on tropical aquatic species. In this context, the objective of this study was to (i) conduct [...] Read more.
Emerging pollutants, like phytoestrogens, are gaining attention in the scientific community for their impact on aquatic organisms. Nevertheless, there is a paucity of studies examining their effects on tropical aquatic species. In this context, the objective of this study was to (i) conduct chronic ecotoxicological assays with the sea urchin Echinometra lucunter with two phytoestrogens, namely genistein and daidzein (both derived from soy plant), and compare the results to the synthetic estrogen ‘estradiol valerate’; (ii) predict the potential risks of these phytoestrogens through an ecological risk assessment; and (iii) create a prioritization list of the most hazardous phytoestrogens using environmental persistence, bioaccumulation, and toxicity (PBT criteria). The results of chronic exposure demonstrated the following order of toxicity: daidzein (IC50 = 2.60 mg/L); genistein (IC50 = 3.37 mg/L); and estradiol valerate (IC50 = 28.40 mg/L). The results classify genistein and daidzein as “toxic” and estradiol valerate as “harmful” to the sea urchin. The final ranking of the PBT approach in coastal waters was as follows: biochanin A (the highest priority), followed by formononetin, genistein, enterolactone, daidzein, estradiol valerate, coumestrol, and 8-prenylnaringenin. The dataset highlights the importance of environmental monitoring to track phytoestrogens in Latin American coastal areas, particularly in developing countries. Full article
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<p>The final ranking of the prediction of persistence (P), bioaccumulation (B), and toxicity (T) of the five worldwide consumed phytoestrogens was selected for comparison with GEN, DAI, and EV. A five-point scale was employed to assign a rank to each criterion, with 5 indicating the highest level of concern and 1 indicating the lowest level of concern. The final ranking of the PBT was obtained by summing the ranks of the three criteria. In the event of a tie between the phytoestrogens in the final ranking, the “B” criterion was employed as a tiebreaker to determine the ranking (this criterion was applied to establish the order of the top three). The level of concern associated with phytoestrogens decreased in a left-to-right progression. The maximum score obtained by summing the four criteria was 13, indicating that biochanin A is the compound of primary concern. Conversely, 8-prenylnaringenin was positioned fourth, having received the lowest score of the ranking, namely 10 points. Further details on the PBT criterion can be found in <a href="#coasts-04-00034-t005" class="html-table">Table 5</a> and <a href="#sec2dot5-coasts-04-00034" class="html-sec">Section 2.5</a>.</p>
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13 pages, 4576 KiB  
Article
Influence of Solar Radiation on Microbiological Degradation of Sewage Submarine Outfalls and the Safety of Bathing Areas
by Renato Castiglia Feitosa and Paulo Cesar Colonna Rosman
Coasts 2024, 4(4), 638-650; https://doi.org/10.3390/coasts4040033 - 8 Oct 2024
Viewed by 635
Abstract
The ocean disposal of wastewater is an efficient alternative in the sewage system of coastal areas since the urban density of such regions is a barrier to the settlement of conventional sewage treatment plants. In addition, the associated costs of this alternative are [...] Read more.
The ocean disposal of wastewater is an efficient alternative in the sewage system of coastal areas since the urban density of such regions is a barrier to the settlement of conventional sewage treatment plants. In addition, the associated costs of this alternative are significantly lower than the convention in the long term. The degradation of microbiological contaminants strongly depends on solar radiation and the factors that regulate its intensity, such as the depth of the effluent plume, seasons, and cloud cover. The submarine disposal of domestic sewage constitutes a low-sanitation-risk alternative regarding the contamination of bathing areas. The results based on computational modeling corroborate this alternative, showing that the coastal zone is not affected by marine sewage discharges. Full article
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<p>Study area and location of the outfalls.</p>
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<p>Characteristics of the plume.</p>
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<p>Income solar radiation along the plume over the water column.</p>
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<p><span class="html-italic">T</span><sub>90</sub> values over the day for different weather and seasonal conditions.</p>
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<p>Average <span class="html-italic">T</span><sub>90</sub> daytime (9 to15 h) values for all scenarios.</p>
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<p>Concentration of coliforms in summer—currents flowing to the west. The upper pattern indicates the clear sky condition, and the lower pattern corresponds to an overcast sky. The intensity of incident solar radiation corresponds to 13:00.</p>
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<p>The concentration of coliforms in clear skies—currents flowing to the west. The upper print indicates the summer condition, and the lower print corresponds to winter. The intensity of incident solar radiation corresponds to 13:00 of the day.</p>
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<p>The concentration of coliforms in summer—currents flowing to the east. The upper pattern indicates the clear sky condition, and the lower pattern corresponds to an overcast sky. The intensity of incident solar radiation corresponds to 13:00.</p>
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<p>The concentration of coliforms in clear skies—currents flowing to the east. The upper print indicates the summer condition, and the lower print corresponds to winter. The intensity of incident solar radiation corresponds to 13:00 of the day.</p>
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