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12 pages, 2555 KiB  
Article
Plastics at an Offshore Fish Farm on the South Coast of Madeira Island (Portugal): A Preliminary Evaluation of Their Origin, Type, and Impact on Farmed Fish
by Mariana Martins, Ana Pombo, Susana Mendes and Carlos A. P. Andrade
Environments 2024, 11(9), 202; https://doi.org/10.3390/environments11090202 - 14 Sep 2024
Viewed by 213
Abstract
Plastic pollution is a global problem affecting all ecosystems, and it represents most of the marine litter. Offshore aquaculture is a sector particularly vulnerable to this issue. To investigate this concern, the present study employed videography to monitor macroplastics at an offshore fish [...] Read more.
Plastic pollution is a global problem affecting all ecosystems, and it represents most of the marine litter. Offshore aquaculture is a sector particularly vulnerable to this issue. To investigate this concern, the present study employed videography to monitor macroplastics at an offshore fish farm on Madeira Island (Portugal) and analysis of fish gut content to evaluate macroplastic ingestion by farmed sea bream Sparus aurata. Our analysis revealed that the majority of identified plastic debris originated from domestic use (66.66%) and fisheries/aquaculture activities (24.99%). While the number of dead fish suitable for sampling was limited (1.05% of the total mortality), macroplastic debris ingestion was identified in 5.15% of the total mortalities and reported for the first time in species in offshore farming conditions. Fish ingested fragmented plastic sheets, with the amount positively correlated with fish weight (r = 0.621, p = 0.031, n = 12). Notably, the stretched length of these fragments exceeded 50% of the standard length of most fish. Inconsistencies were observed in the number of samples collected per cage and per week. To ensure robust results, these discrepancies should be rectified in future studies. Additionally, extending the sampling period to encompass all seasons would be beneficial for a more comprehensive understanding of seasonal variations in plastic occurrence. Full article
(This article belongs to the Special Issue Plastics Pollution in Aquatic Environments)
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<p>Marismar’s fish farm location and its offshore cages. (<b>a</b>) Madeira Island’s map; (<b>b</b>) location of offshore cages; (<b>c</b>) fish farm concession area; (<b>d</b>) display of fish farm cages.</p>
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<p>The main ocean current directions (<b>A</b>) at the fish farm and the number of plastics found at each cage and quadrant (fish farm cages identified from 1 to 10) and (<b>B</b>) Diagram of frequency (%) of ocean current directions observed at the fish farm.</p>
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<p>Average (and standard deviation) of the condition factor (K) of individuals that died of natural/unknown causes (dead fish) with and without plastic and of individuals that were sampled monthly (fish captured alive) from cages 4, 5, 6, and 9 of Marismar’s fish farm. Symbols * and # represent significant differences (i.e., whenever <span class="html-italic">p</span>-value &lt; 0.05).</p>
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<p>Sea bream <span class="html-italic">Sparus aurata</span> sampled from Marismar’s fish farm, (<b>A</b>,<b>B</b>). In the foreground, plastic removed from the gastrointestinal tract from each fish.</p>
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<p>Correlation between weight of fish and amount (weight) of macroplastics found in the digestive tract (n = 12; r = 0.621; <span class="html-italic">p</span> = 0.031).</p>
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24 pages, 26164 KiB  
Article
A New Insight on the Upwelling along the Atlantic Iberian Coasts and Warm Water Outflow in the Gulf of Cadiz from Multiscale Ultrahigh Resolution Sea Surface Temperature Imagery
by José J. Alonso del Rosario, Elizabeth Blázquez Gómez, Juan Manuel Vidal Pérez, Faustino Martín Rey and Esther L. Silva-Ramírez
J. Mar. Sci. Eng. 2024, 12(9), 1580; https://doi.org/10.3390/jmse12091580 - 6 Sep 2024
Viewed by 401
Abstract
The ATLAZUL project is an Interreg effort among 18 partners from Spain and Portugal along the Atlantic Iberian coasts. One of its objectives is the development of new methods and data processing for oceanic information to produce useful products for private and public [...] Read more.
The ATLAZUL project is an Interreg effort among 18 partners from Spain and Portugal along the Atlantic Iberian coasts. One of its objectives is the development of new methods and data processing for oceanic information to produce useful products for private and public stakeholders. This study proposes a new insight on the sea surface dynamic of the ATLAZUL area based on almost two years of multiscale high resolution sea surface temperature imagery. The use of techniques such as the Karhunen–Loève transform (Empirical Orthogonal Function) and the Maximum Entropy Spectral Analysis were applied to study long- and short-term features in the sea surface temperature imagery. Mathematical Morphology and the Geometrical Theory of Measure are utilized to compute the Medial Axis Transform and the Hausdorff dimension. The results can be summarized as follows: (i) the tow upwelling areas are identified along the Galician–Portugal coast as indicated in the second and third modes of KLT/EOF analysis, and they are partially affected by wind; (ii) the tow warm water outflows from the Bay of Cádiz to the Gulf of Cádiz are identified as the second and third modes of KLT/EOF analysis, which are also influenced by wind; (iii) the skeletons of the surface signature of the upwelling and of the warmer water outflow, along with their fractal dimensions, indicate a chaotic pattern of spatial distribution and (iv) the harmonic prediction model should be combined with the wind prediction. Full article
(This article belongs to the Section Physical Oceanography)
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<p>Atlantic Iberian coasts. The ATLAZUL area comprises the Spanish coasts (Galicia and the Gulf of Cádiz) and the coast of Portugal (North, Centre, Lisbon, Alentejo and Algarve). The three more important reference points are the Finisterre and San Vicente Capes and the Strait of Gibraltar. The western limit has been considered at the longitude of Madeira Island. The false color MUR images correspond to 1 August 2022. A signature of cooler water along the Galician and Portuguese coasts is observed along the Galician–Portugal coasts (clear blue) and the warmest water outflow (yellow) in the Gulf of Cádiz. The black solid arrow indicates the location of Boia da Ribeira and the white point indicates the meteorological station located at the Parque Natural Bahía de Cádiz.</p>
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<p>A sequence of the SST fields in the ATLAZUL area for the first day each month in 2022. (<b>a</b>) January to (<b>l</b>) December. Temperature in Celsius degrees. A signature of cooler water is easily seen along the Galician and Portugal coasts (<b>g</b>) to November, (<b>k</b>) with cooler water (in blue) and the warm water output in the Gulf of Cádiz from July (<b>g</b>) to September (in yellow).</p>
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<p>Time series of the area of the upwelling along the Galician–Portugal coasts.</p>
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<p>MUR-SST fields and the skeletons for the Galician–Portugal coasts corresponding to day 15 of each month of 2022 from (<b>a</b>) January to (<b>l</b>) December. Temperature is in Celsius degrees.</p>
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<p>Time series of the fractal dimension of the skeletons along the Galician–Portugal coasts.</p>
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<p>Time series of the area of the warm water output in the Gulf of Cádiz.</p>
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<p>MUR–SST fields and the skeletons for the Gulf of Cádiz corresponding to day 15 of each month of 2022 from (<b>a</b>) January to (<b>l</b>) December. Temperature is in Celsius degrees.</p>
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<p>Time series of the fractal dimension of the warm water output in the Gulf of Cádiz.</p>
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<p>(<b>a</b>) Mean SST field and the first four spatial modes (<b>b</b>–<b>e</b>), for the ATLAZUL region of Galician–Portugal coasts.</p>
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<p>Temporal weights for the Galician–Portugal ATLAZUL region.</p>
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<p>MESA-PSD of the temporal weights for the first (<b>a</b>) to the fourth (<b>d</b>) mode for the Galician–Portugal region.</p>
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<p>(<b>a</b>) Mean SST field and the first four spatial modes (<b>b</b>–<b>e</b>), for the ATLAZUL region of the Gulf of Cádiz.</p>
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<p>Temporal weights for the Gulf of Cádiz ATLAZUL region.</p>
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<p>MESA-PSD of the temporal weights for the first (<b>a</b>) to the fourth (<b>d</b>) mode for the Gulf of Cádiz region.</p>
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<p>Vector plot of the daily averaged wind time series taken at (<b>a</b>) Boia da Ribeira, La Coruña, and (<b>b</b>) Observatorio del Parque Natural Bahía de Cádiz.</p>
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<p>Scatter plots between (<b>a</b>) cross-shore wind and the area of the cooler water in the Galician–Portugal region; (<b>b</b>) along-shore wind and the same area; (<b>c</b>) along-shore wind component and the area of warmer waters in the Gulf of Cádiz; and (<b>d</b>) cross-shore wind and the same area. Red dots are data for 22 September and blue dots are for 23 May.</p>
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<p>Scatter plots between (<b>a</b>) cross-shore wind and the second mode for the Galician–Portugal region; (<b>b</b>) along-shore wind and the second mode for the same area; (<b>c</b>) cross-shore wind and the third mode for the Galician–Portugal region; (<b>d</b>) along-shore wind and the third mode for the same region; (<b>e</b>) cross-shore wind and the second mode for the Gulf of Cádiz region; (<b>f</b>) along-shore wind and the second mode for the same area; (<b>g</b>) cross-shore wind and the third mode for the Gulf of Cádiz region; and (<b>h</b>) along-shore wind and the third mode for the same region. Red dots are for September 2022 and blue dots are for May 2023.</p>
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<p>Correlation between the predicted and the observed SST fields for the ATLAZUL regions.</p>
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<p>Observed SST and the spatial distribution of errors in the prediction. (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>) are the observed SST fields for the Gulf of Cádiz at 10, 20, 30 and 38 days in the prediction segment. (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) are the predicted fields. (<b>i</b>,<b>k</b>,<b>m</b>,<b>o</b>) are the observed SST fields at the Galician–Portugal coasts at 10, 20, 30 and 38 days in the prediction segment and (<b>j</b>,<b>l</b>,<b>n</b>,<b>p</b>) are the predictions.</p>
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19 pages, 2883 KiB  
Article
Genetic Variability and Genetic Differentiation of Populations in the Grooved Carpet Shell Clam (Ruditapes decussatus) Based on Intron Polymorphisms
by Carlos Saavedra and David Cordero
Oceans 2024, 5(2), 257-275; https://doi.org/10.3390/oceans5020016 - 6 May 2024
Viewed by 1082
Abstract
The grooved carpet-shell clam is one of the most economically relevant shellfish species living in the Mediterranean and nearby Atlantic coasts. Previous studies using different types of genetic markers showed a remarkable genetic divergence of the eastern Mediterranean, western Mediterranean, and Atlantic populations, [...] Read more.
The grooved carpet-shell clam is one of the most economically relevant shellfish species living in the Mediterranean and nearby Atlantic coasts. Previous studies using different types of genetic markers showed a remarkable genetic divergence of the eastern Mediterranean, western Mediterranean, and Atlantic populations, but important details remained unclear. Here, data from six nuclear introns scored for restriction fragment size polymorphisms in eight populations that have not been studied before have been pooled for the analysis with data scattered through three previous studies, totaling 32 samples from 29 locations. The results show lower levels of heterozygosity, higher mean number of alleles, and alleles with restricted distribution in the Mediterranean populations, suggesting the existence of a large, isolated population in the eastern Mediterranean at the middle Pleistocene. The data also confirm the similarity of populations from Tunisia to Western Mediterranean populations. Finally, a genetic mosaic is apparent in the Atlantic coasts of the Iberian Peninsula, with a divergence of Rias Baixas populations from more northern populations and Central Portugal populations. The effects of oceanic fronts, seasonal upwellings, river plumes, and/or fishery management operations could explain this and other features of the Atlantic populations. Full article
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<p>Maps showing the locations considered in this study and the main geographic and oceanographic features cited in the text. Red dots show the new locations sampled for this study. Black dots show locations sampled in previous studies. (<b>a</b>) Locations outside of the Atlantic coasts of the Iberian Peninsula. BF: Balearic Front. AOOF: Almeria–Oran oceanographic front; S-TS: Siculo–Tunisian Strait. (<b>b</b>) Locations on the Atlantic coasts of the Iberian Peninsula.</p>
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<p>Plot of the mean number of alleles per locus (Na) and the mean heterozygosity per locus (H) in the clam populations from the Atlantic (AT), West Mediterranean (WM), and East Mediterranean (EM) regions. Dot sizes are proportional to sample sizes (N).</p>
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<p>Neighbor-joining tree of the clam populations based on F<sub>ST</sub> distances. Colored lines group populations according to the geographic regions cited in the text. Note the lack of correspondence between genetic distance and geographic position of some populations, marked in squares.</p>
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<p>(<b>a</b>) Plot of the posterior probabilities for each K value from the Bayesian analysis of genetic structure. (<b>b</b>) Plot of Evanno et al.’s ∆K for each K value from the Bayesian analysis of genetic structure.</p>
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<p>Plots of cluster frequencies from the Bayesian analysis of genetic structure for K = 2 (<b>above</b>) and K = 6 (<b>below</b>), for all individuals and populations. Clusters are defined by colors. The table below the plots gives the average proportions of each cluster in each population for K = 6.</p>
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<p>Flow of water masses (thick arrows), upwelling, and front (thin arrows) near the NW coasts of the Iberian Peninsula in summer. See Discussion for explanations.</p>
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15 pages, 5316 KiB  
Article
Approach and Permanent Human Occupation of Mainland Portugal Coastal Zone (1096–2021)
by Maria Rosário Bastos, Olegário Nelson Azevedo Pereira, Antero Ferreira, Filipe Salgado, Sérgio Lira and João Alveirinho Dias
Water 2024, 16(8), 1110; https://doi.org/10.3390/w16081110 - 13 Apr 2024
Viewed by 1297
Abstract
This paper aims to enhance the understanding of the littoralization process in mainland Portugal over a broad chronological framework. Littoralization is defined as the occupation and settlement of human communities along the coast. In this case, the analysis was based on the synchronic [...] Read more.
This paper aims to enhance the understanding of the littoralization process in mainland Portugal over a broad chronological framework. Littoralization is defined as the occupation and settlement of human communities along the coast. In this case, the analysis was based on the synchronic analysis of three chronologies: from the formation of Portugal to the settlement of the fountains (1096–1325); at the dawn of modernity, marked by the Portuguese expansion (1500–1524), with the first scientific census (1860); and in the present, with data from the last census (2021). The choice of chronology was dictated by the historical sources available and allowed us to check the trend of population dispersion both in terms of latitude and longitude, the latter being the analysis of the distance of the main population centers (counties) from the coast. In the first chronological segment, there is a “safety distance” from the exposed coastlines, which is gradually blurred over time until there is an impressive coastal demographic concentration in 2021, with around 80% of people settled within 50 km of the sea. So, the management of Portugal’s territory is an unequivocal indicator of the Anthropocene even with the risks of the disappearance of some beaches. Full article
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<p>Portugal’s location in the Iberia Peninsula, main rivers, and cities.</p>
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<p>Royal charter distribution by latitude. X-axis: latitude; Y-axis: number of historical documents.</p>
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<p>Royal charter distribution by distance from the coastline. X-axis: distance from the coastline; Y-axis: number of historical documents.</p>
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<p>Royal charters’ median distance from the coastline.</p>
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<p>After 1864 created parishes.</p>
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<p>Population distribution by NUTII (1864 and 2021 censuses).</p>
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<p>Population percentual distribution by distance from the coastline in 1864 and 2021 censuses. X-axis: distance from the coastline; Y-axis: population percentage.</p>
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20 pages, 2333 KiB  
Article
Methodology for Predicting Maritime Traffic Ship Emissions Using Automatic Identification System Data
by João N. Ribeiro da Silva, Tiago A. Santos and Angelo P. Teixeira
J. Mar. Sci. Eng. 2024, 12(2), 320; https://doi.org/10.3390/jmse12020320 - 13 Feb 2024
Cited by 3 | Viewed by 1215
Abstract
This paper develops a methodology to estimate ship emissions using Automatic Identification System data (AIS). The methodology includes methods for AIS message decoding and ship emission estimation based on the ship’s technical and operational characteristics. A novel approach for ship type identification based [...] Read more.
This paper develops a methodology to estimate ship emissions using Automatic Identification System data (AIS). The methodology includes methods for AIS message decoding and ship emission estimation based on the ship’s technical and operational characteristics. A novel approach for ship type identification based on the visited port terminal is described. The methodology is implemented in a computational tool, SEA (Ship Emission Assessment). First, the accuracy of the method for ship type identification is assessed and then the methodology is validated by comparing its predictions with those of two other methodologies. The tool is applied to three case studies using AIS data of maritime traffic along the Portuguese coast and in the port of Lisbon for one month. The first case study compares the estimated emissions of a ferry and a cruise ship, with the ferry emitting much less than the cruise ship. The second case study estimates the geographical distribution of emissions in the port of Lisbon, with terminals corresponding to areas with a heavier concentration of exhaust emissions. The third case study focuses on the emissions from a container ship sailing along the continental coast of Portugal, differing considerably from port traffic since it operates exclusively in cruising mode. Full article
(This article belongs to the Special Issue Safety and Efficiency of Maritime Transportation and Ship Operations)
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<p>Modules of the ship emission estimation methodology.</p>
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<p>Methodology for ship emission estimation.</p>
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<p>Method of ship type identification based on the visited terminal.</p>
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<p>Studied terminals at the port of Lisbon. 1 container; 2 general cargo; 3 container; 4 general cargo; 5 container; 6 bulk; 7 general cargo; 8 general cargo; 9 general cargo; 10 bulk; 11 general cargo, 12–17 ferry; 18 cruise.</p>
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<p>Values of ship speed (in knots) for the route of a ship entering the port of Lisbon.</p>
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<p>Distribution of CO<sub>2</sub> emissions in the port of Lisbon.</p>
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<p>The relationship between instantaneous emissions and ship speed.</p>
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11 pages, 501 KiB  
Article
The African Psyllid Trioza erytreae Del Guercio (1918) Is Very Sensitive to Low Relative Humidity and High Temperatures
by Rosa Pérez-Otero, Raquel Pérez-Turco, Joana Neto and Alberto Fereres
Insects 2024, 15(1), 62; https://doi.org/10.3390/insects15010062 - 16 Jan 2024
Viewed by 1234
Abstract
The African citrus psyllid, Trioza erytreae, is one of the two vectors of Huanglongbing, the most serious citrus disease worldwide. The first detection of T. erytreae in the European mainland was on the northwest of the Iberian Peninsula in 2014. Since then, the [...] Read more.
The African citrus psyllid, Trioza erytreae, is one of the two vectors of Huanglongbing, the most serious citrus disease worldwide. The first detection of T. erytreae in the European mainland was on the northwest of the Iberian Peninsula in 2014. Since then, the pest has spread throughout northern Spain (Galicia, Asturias, Cantabria, País Vasco) and along the western Atlantic coast of Portugal (from the Douro e Minho region to the Algarve). We conducted a series of laboratory experiments on lemon plants at different temperatures (from 8 to 34 °C) and humidity conditions (from 40 to 90%) to find out the influence of extreme temperatures and relative humidities (RHs) on the mortality, development and reproduction of T. erytreae. Our results show that temperatures above 30 °C and below 10 °C are very detrimental for nymphal development and nymphs were unable to reach the adult stage. Furthermore, eggs were unable to hatch under temperatures above 33 °C and below 8 °C. Adult mortality was highest at 34 °C and killed more than 50% of the population. We also found that relative humidity is crucial for the development and survival of T. erytreae. Nymphs were unable to reach the adult stage at an RH of 90% and 40%. Also, fecundity was significantly reduced at 90 and 40% RH, and fertility was lowest at 40% RH. Nymphal mortality was highest at an RH of 40%, which was the most detrimental humidity among all tested for the survival and development of T. erytreae. Our work concludes that T. erytreae establishment and spread will be maximum in regions with a temperate and humid climate, being rare in regions where dry and hot weather conditions predominate. Full article
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Graphical abstract
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<p>Mortality rate (MR) of adults of <span class="html-italic">T. erytreae</span> at different temperatures after 24 h, 48 h, and 72 h of exposure. Box-plot followed by the same letter for each temperature did not differ according to Dunn test (<span class="html-italic">p</span> &lt; 0.05). The hollow circles and asterisks represent outliers, as “out” values and “far out” values, respectively.</p>
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17 pages, 3790 KiB  
Article
Reproductive Cycle of the Sea Urchin Paracentrotus lividus (Lamarck, 1816) on the Central West Coast of Portugal: New Perspective on the Gametogenic Cycle
by Andreia Raposo, Susana M. F. Ferreira, Rodolfo Ramos, Catarina Anjos, Sílvia C. Gonçalves, Pedro M. Santos, Teresa Baptista, José L. Costa and Ana Pombo
J. Mar. Sci. Eng. 2023, 11(12), 2366; https://doi.org/10.3390/jmse11122366 - 14 Dec 2023
Viewed by 1395
Abstract
A population of sea urchins, Paracentrotus lividus, from the central west coast of Portugal was studied to characterise their reproductive biology and possible relationships with environmental factors. An annual gametogenic cycle was found, with a broad spawning season, from May to November, [...] Read more.
A population of sea urchins, Paracentrotus lividus, from the central west coast of Portugal was studied to characterise their reproductive biology and possible relationships with environmental factors. An annual gametogenic cycle was found, with a broad spawning season, from May to November, according to a relatively synchronous gamete maturation process. Depending on the environmental factors (temperature, photoperiod), two separate periods could be distinguished, with more individuals maturing and spawning at the same time. When this happened, the first event evolved when temperature rose to a critical point, and the second occurred afterwards, when temperature decreased significantly. Notwithstanding, it was found that individuals matured later than previously described for other populations (e.g., north of Portugal), mostly in late spring, with a higher gonadosomatic index in May. A new classification scale was proposed for identifying the stages of P. lividus gametogenic cycle, based on new findings. It contributed to its simplification and easier comprehension. This study provides useful information for a differentiated sustainable management of P. lividus, according to local conditions. Establishing a closed harvesting season might be considered, based on the differences observed between Portuguese populations and other European ones. Full article
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<p>Monthly variation in individual wet weight (g) of sea urchins, <span class="html-italic">Paracentrotus lividus</span>, from July 2015 to December 2016 at Praia do Abalo (Peniche, Portugal).</p>
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<p>Statistical differences between the 18 months (July 2015–December 2016). (<b>a</b>). Total weight (TW) (<b>b</b>). Gonadal weight (GW) (<b>c</b>). Gonadosomatic index (GI) (<b>d</b>). Oocyte diameter (DO). Symbol indicates significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Monthly variation in gonadal weight (g) of sea urchins, <span class="html-italic">Paracentrotus lividus</span>, from July 2015 to December 2016 at Praia do Abalo (Peniche, Portugal).</p>
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<p>Monthly variation in the gonadosomatic index (%) of sea urchins, <span class="html-italic">Paracentrotus lividus</span>, and seawater temperature (°C) and photoperiod (hours of daylight) in Peniche (Portugal), from July 2015 to December 2016.</p>
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<p>Monthly variation in the oocyte diameter (µm) of sea urchins, <span class="html-italic">Paracentrotus lividus</span>, from July 2015 to December 2016 at Praia do Abalo (Peniche, Portugal).</p>
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<p>Monthly relative frequency (%) of male and female sea urchins, <span class="html-italic">Paracentrotus lividus</span>, from July 2015 to December 2016 at Praia do Abalo (Peniche, Portugal).</p>
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<p>Development stages of the gametogenic cycle observed in <span class="html-italic">Paracentrotus lividus</span> female gonads: (<b>A</b>)—Stage I: cross-section of the gonad, with visible globules (GB), derived from the lysis of non-released oocytes; noticeable nutritive phagocytes (NP) and pre-vitellogenic oocytes (PO) in the ascinal wall; (<b>B</b>)—stage II: growth of oocytes and ovaries; (<b>C</b>)—stage III: premature ovary, with oocytes in all stages of development, namely early formed vitellogenic oocytes (EV) and vitellogenic oocytes (VO) that detached from the ascinal wall, as they turned into mature oocytes (O), in which the nucleus became more evident (N). (<b>D</b>)—stage IV: ovary replete with mature oocytes and a very small number of nutritive phagocytes. (<b>E</b>)—stage V: ovary with loose ovules (LO), lack of nutritive material and emergence of empty spaces, which indicated the beginning of spawning. (<b>F</b>)—Partial spawning of an ovary presenting loss of the internal structure, with empty spaces (E) but with oocytes at different stages of development, but mostly vitellogenic oocytes (VO) that eventually matured and moved to the lumen; nutritious matter (NM) can be observed. (<b>G</b>)—Stage VI: post-spawned ovary, presenting loss of the internal structure (E), which resulted in the presence of voids; oocytes that were not released became dispersed inside the lumen, being reabsorbed later (R). (<b>H</b>)—Stage VII: all the non-released vitellogenic oocytes, mature oocytes and ova will be later reabsorbed; nutritive phagocytes concentrated in the lumen, forming an eosinophilic meshwork (EM), in order to enclose and lyse the oocytes (L); the ovary began to reorganise. Histological slides stained with hematoxylin and eosin (all bars = 200 μm).</p>
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<p>Development stages of the gametogenic cycle observed in <span class="html-italic">Paracentrotus lividus</span> male gonads: (<b>A</b>) Stage I: cross-section of an early testis, containing primary spermatocytes (PS) along the ascinal wall; a high number of nutritive phagocytes (NP) began to appear. (<b>B</b>) Stage II: spermatocyte columns projected to the centre (arrows). (<b>C</b>) Partial spawning of a testis in stage III: nutritive phagocytes (NP) in the centre and empty spaces left by released spermatozoa (V). (<b>D</b>) Stage III: testis filled with mature spermatozoa (S) and largely devoid of nutrient tissue. (<b>E</b>) Stage IV: mature testis, filled with mature spermatozoa (S) ready to be released. (<b>F</b>) Stage V: testis beginning to spawn, with voids (V) left by the released spermatozoa (S). (<b>G</b>) Stage VI: spawned testis presenting loss of the internal structure (E). (<b>H</b>) Stage VII: spawned testis with non-released spermatozoa that will be reabsorbed (R); nutritive phagocytes concentrated in the lumen (L), forming an eosinophilic mesh (EM) around the non-released spermatozoa. Histological slides stained with hematoxylin and eosin (A, B, D, E, F, G and H’s bars = 500 μm; C’s bar = 200 μm).</p>
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<p>Monthly relative frequency (%) of gametogenic stages during the 18 months of sampling at Praia do Abalo (Peniche, Portugal). Stage I—initial; stage II—growth; stage III—premature; stage IV—mature; stage V—spawning; stage VI—spent; stage VII—reabsorption.</p>
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15 pages, 1587 KiB  
Article
Optimization of Offshore Wind Power Generation in Response to the 2022 Extreme Drought in Portugal
by Fernando M. Camilo, Paulo J. Santos, Pedro J. Lobato and Sandrina B. Moreira
Energies 2023, 16(22), 7542; https://doi.org/10.3390/en16227542 - 12 Nov 2023
Viewed by 1271
Abstract
Portugal, in line with the European Union, is aiming for carbon neutrality by 2050 (Net Zero), which implies a transition to sustainable energy sources. Climate change is all too evident, as extreme weather periods are occurring in a cyclical manner with greater brevity [...] Read more.
Portugal, in line with the European Union, is aiming for carbon neutrality by 2050 (Net Zero), which implies a transition to sustainable energy sources. Climate change is all too evident, as extreme weather periods are occurring in a cyclical manner with greater brevity to such an extent that the grid operator must deal with production scenarios where it can no longer rely on hydroelectric production given the recurring drought situation. This situation increases dependence on thermal production using natural gas and imports. This has significant economic implications. Portugal has exploited its onshore wind potential, reaching an installed capacity of 5.671 MW by 2022. However, the expansion of onshore wind energy is limited to reinforcing the existing infrastructure. To overcome these challenges, it is necessary to expand the exploitation of the offshore wind potential that is already underway. This article proposes the location of offshore wind production platforms along the Portuguese coast. This allows for an analysis of offshore production and its optimization according to the minimum cost per MWh in the face of extreme scenarios, i.e., in periods of extreme drought where the hydroelectric production capacity is practically non-existent. The model is fed by using market price indications and the amount of energy needed for the following day. Using forecast data, the model adapts offshore wind production for the following day according to the minimization of the average market price. This study presents an optimization model adapted to combat the unpredictability of extreme weather conditions. This strategic framework significantly increases the resilience and reliability of offshore wind energy production, marking a significant advance in the management of renewable energy under the pressure of climate variability. The results of the simulations allow us to conclude that despite the high cost of offshore technology (in deep waters), in extreme climate scenarios, it enables cost reduction and a clear decrease in imports. Full article
(This article belongs to the Section A: Sustainable Energy)
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<p>Diversification of energy resources in Portugal.</p>
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<p>Annual variation in water reservoirs and hydro storage plants in Portugal [<a href="#B6-energies-16-07542" class="html-bibr">6</a>].</p>
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<p>(<b>a</b>) Annual hydroelectric energy produced compared with energy consumed in pumping in Portugal from 2015 to May 2023. (<b>b</b>) Trade-off between import and export on the Portuguese side.</p>
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<p>Comparison of hydroelectric power production in two extreme years in Portugal: 2021 (wet year) and 2022 (drought year).</p>
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<p>Changes in imported energy due to the reduction in coal-based production.</p>
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<p>(<b>A</b>) Location of the proposed areas (“áreas propostas”) for development of offshore wind farms in relation to the marine and coastal special protection zones (ZPE); (<b>B</b>) Important Bird and Biodiversity Areas (IBA). (<b>C</b>) Construction of wind models for most favorable zones with an average speed of 8.28 m/s in Viana do Castelo.</p>
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<p>Power output and performance coefficient (<math display="inline"><semantics> <msub> <mi>C</mi> <mi>p</mi> </msub> </semantics></math>) of the wind turbine as a function of wind speed.</p>
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<p>Basic flowchart of the implemented methodology.</p>
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<p>Simulation results.</p>
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<p>Comparative Analysis of Energy Production by scenario.</p>
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17 pages, 7478 KiB  
Article
Chemical Composition of Macroalgae Polysaccharides from Galician and Portugal Coasts: Seasonal Variations and Biological Properties
by Sónia P. Miguel, Caíque D’Angelo, Maximiano P. Ribeiro, Rogério Simões and Paula Coutinho
Mar. Drugs 2023, 21(11), 589; https://doi.org/10.3390/md21110589 - 10 Nov 2023
Cited by 1 | Viewed by 1795
Abstract
Crude polysaccharides extracted from the Codium sp. and Osmundea sp. macroalgae collected in different seasons (winter, spring and summer) from the Galician and North Portugal coasts were characterised, aiming to support their biomedical application to wound healing. An increase in polysaccharides’ sulphate content [...] Read more.
Crude polysaccharides extracted from the Codium sp. and Osmundea sp. macroalgae collected in different seasons (winter, spring and summer) from the Galician and North Portugal coasts were characterised, aiming to support their biomedical application to wound healing. An increase in polysaccharides’ sulphate content was registered from winter to summer, and higher values were obtained for Osmundea sp. In turn, the monosaccharide composition constantly changed with a decrease in glucose in Osmundea sp. from spring to winter. For Codium sp., a higher increase was noticed regarding glucose content in the Galician and Portugal coasts. Galactose was the major monosaccharide in all the samples, remaining stable in all seasons and collection sites. These results corroborate the sulphate content and antioxidant activity, since the Osmundea sp.-derived polysaccharides collected in summer exhibited higher scavenging radical ability. The biocompatibility and wound scratch assays revealed that the Osmundea sp. polysaccharide extracted from the Portugal coast in summer possessed more potential for promoting fibroblast migration. This study on seasonal variations of polysaccharides, sulphate content, monosaccharide composition and, consequently, biological properties provides practical guidance for determining the optimal season for algae harvest to standardise preparations of polysaccharides for the biomedical field. Full article
(This article belongs to the Special Issue Marine-Derived Biomaterials for Tissue Regeneration)
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<p>FTIR spectra of polysaccharides extracted from <span class="html-italic">Codium</span> sp. and <span class="html-italic">Osmundea</span> sp. macroalgae in different seasons (winter, spring and summer) from Galician (<b>A</b>,<b>C</b>) and Portugal (<b>B</b>,<b>D</b>) coasts.</p>
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<p>Determination of the surface charge of the polysaccharides extracted from <span class="html-italic">Codium</span> sp. and <span class="html-italic">Osmundea</span> sp. collected in different seasons (winter, spring and summer) from Portugal (<b>A</b>) and Galician (<b>B</b>) coasts. The k-carrageenan polysaccharide was used for comparative purposes. Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 5), ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Quantification of the concentration of sulphate groups of the polysaccharides extracted from <span class="html-italic">Codium</span> and <span class="html-italic">Osmundea</span> species collected in different seasons (winter, spring and summer) from the Portugal (<b>A</b>) and Galician (<b>B</b>) coasts. The k-carrageenan polysaccharide was used for comparative purposes. Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 5), * <span class="html-italic">p</span> &lt; 0.5, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001, n.s.—not significant.</p>
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<p>Molecular weight distribution of PSs in <span class="html-italic">Osmundea</span> sp. and <span class="html-italic">Codium</span> sp. from Portugal coast.</p>
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<p>Effect of seasons on the molecular weight distribution of <span class="html-italic">Osmundea</span> PSs from Galician coast.</p>
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<p>Effect of seasons on the molecular weight distribution of <span class="html-italic">Osmundea</span> PS from Portugal coast.</p>
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<p>Determination of antioxidant activity through DPPH assay of polysaccharides extracted from <span class="html-italic">Osmundea</span> collected from Galician and Portugal coasts in different seasons (winter, spring and summer). Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 5), * <span class="html-italic">p</span> &lt; 0.5, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Determination of antioxidant activity through DPPH assay of polysaccharides extracted from <span class="html-italic">Codium</span> collected from Galician and Portugal coasts in different seasons (winter, spring and summer). Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 5), *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Characterisation of cell viability of fibroblasts in contact with polysaccharides extracted from <span class="html-italic">Codium</span> sp. and <span class="html-italic">Osmundea</span> sp. collected from Galician and Portugal coasts in summer. Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 5), * <span class="html-italic">p</span> &lt; 0.5, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Cell migration response to the different algal polysaccharides. (<b>A</b>) Fibroblast migration in the presence of 2 mg/mL of polysaccharides derived from <span class="html-italic">Osmundea</span> sp. and <span class="html-italic">Codium</span> sp. of Galician and Portugal coasts, and only culture medium (control). (<b>B</b>) Effect of the different algal polysaccharides on the migratory activities of fibroblasts in the scratch assay. Data are expressed as a percentage of cell area compared to the control. Scale bar: 200 µm. Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 5), **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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19 pages, 809 KiB  
Article
Microplastics in Cetaceans Stranded on the Portuguese Coast
by Sara Sá, Andreia Torres-Pereira, Marisa Ferreira, Sílvia S. Monteiro, Raquel Fradoca, Marina Sequeira, José Vingada and Catarina Eira
Animals 2023, 13(20), 3263; https://doi.org/10.3390/ani13203263 - 19 Oct 2023
Cited by 4 | Viewed by 2133
Abstract
This study characterises microplastics in small cetaceans on the coast of Portugal and assesses the relationship between several biological variables and the amount of detected microplastics. The intestines of 38 stranded dead cetaceans were processed in the laboratory, with digestion methods adapted to [...] Read more.
This study characterises microplastics in small cetaceans on the coast of Portugal and assesses the relationship between several biological variables and the amount of detected microplastics. The intestines of 38 stranded dead cetaceans were processed in the laboratory, with digestion methods adapted to the amount of organic matter in each sample. The influence of several biological and health variables (e.g., species, sex, body condition) on the amount of microplastics was tested in all analysed species and particularly in common dolphins, due to the larger number of available samples. Most of the analysed individuals had microplastics in the intestine (92.11%), with harbour porpoises revealing a significantly higher median number of microplastics than common dolphins, probably due to their different diets, use of habitat and feeding strategies. None of the other tested variables significantly influenced the number of microplastics. Moreover, the microplastics found should not be enough to cause physical or chemical sublethal effects, although the correlation between microplastic ingestion and plastic additive bioaccumulation in cetacean tissues requires further investigation. Future monitoring in biota should rely on improved and standardised protocols for microplastic analyses in complex samples to allow for accurate analyses of larger samples and spatio-temporal comparisons. Full article
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<p>Box plot showing the median number of microplastics detected in each species. The box stretches from the 25th to the 75th percentile (IQR, interquartile range). The line across the box represents the median, and the ends of the vertical line indicate the minimum and maximum values.</p>
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<p>Proportion of microplastic colours found in all analysed cetaceans.</p>
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14 pages, 2745 KiB  
Article
SMS-Coastal, a New Python Tool to Manage MOHID-Based Coastal Operational Models
by Fernando Mendonça, Flávio Martins and João Janeiro
J. Mar. Sci. Eng. 2023, 11(8), 1606; https://doi.org/10.3390/jmse11081606 - 17 Aug 2023
Viewed by 1286
Abstract
This paper presents the Simulation Management System for Operational Coastal Hydrodynamic Models, or SMS-Coastal, and its novel methodology designed to automate forecast simulations of coastal models. Its working principle features a generic framework that can be easily configured for other applications, and it [...] Read more.
This paper presents the Simulation Management System for Operational Coastal Hydrodynamic Models, or SMS-Coastal, and its novel methodology designed to automate forecast simulations of coastal models. Its working principle features a generic framework that can be easily configured for other applications, and it was implemented with the Python programming language. The system consists of three main components: the Forcing Processor, Simulation Manager, and Data Converter, which perform operations such as the management of forecast runs and the download and conversion of external forcing data. The SMS-Coastal was tested on two model realisations using the MOHID System: SOMA, a model of the Algarve coast in Portugal, and BASIC, a model of the Cartagena Bay in Colombia. The tool proved to be generic enough to handle the different aspects of the models, being able to manage both forecast cycles. Full article
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<p>The three main components of SMS-Coastal are: The Forcing Processor (orange), the Simulation Manager (blue), and the Data Converter (green).</p>
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<p>Generic scheme for SMS-Coastal Forcing Processor, in which the basic operations and sequence are the same for any data provider. The answers for a decision block in all figures with structure charts are given by the characters “T” for true and “F” for false.</p>
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<p>Forecast and Restart Run processes are being executed by SMS-Coastal. Every day the forecasting process is started, and after one day of simulation time, the initial conditions files for the next day’s simulation are generated. Each prediction uses the past simulation files until a Restart Run is performed to produce fresh initial condition files.</p>
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<p>Forecast Run module’s operation sequence. Checking the simulation environment comprises removing data from the previous simulation, creating the necessary folder structure, and preparing the log file. After this, the programme will check the existence of the initial conditions and external forcing data, terminating the module if any data is missing. With the forcing data, it will define the forecast date range to run the hydrodynamic model. If the simulation succeeds, the output files will be saved in a local database, and conversion operations will be launched inside the Data Converter component.</p>
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<p>Restart Run module’s operation sequence. The environment is set up in the same way as in a forecast, as is its time range. However, it does not need initial data from a previous simulation, and the restart can consist of more than one simulation or be conducted in stages that are conducted in a loop. After the final stage, an additional simulation is performed to generate initial condition files for the next Forecast Run.</p>
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<p>Schematic of the generic folder structure to be used by SMS-Coastal to manage an n-levels model. The root directory contains a folder for the Forcing Processor component operations, one for the hydrodynamic model files, and one for each simulation type, Restart Run and Forecast Run. The structure of the simulation folders is identical: “General Data” to store common input files for all levels; “Operations” as a local database for simulation output files; and one folder for each level of the model to store current simulation input and output files.</p>
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<p>Failures over time for SOMA (<b>A</b>) and BASIC (<b>B</b>). As can be seen in B, since BASIC was launched only in May 2020, there are no stops computed for the time before that. No pattern of failure could be observed for the models. However, it was expected to have more stops at the beginning of each operational sequence since the SMS-Coastal generic code was being put to the test while managing the models.</p>
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16 pages, 3262 KiB  
Article
Assessment of Harbour Porpoise Bycatch along the Portuguese and Galician Coast: Insights from Strandings over Two Decades
by Andreia Torres-Pereira, Hélder Araújo, Silvia Silva Monteiro, Marisa Ferreira, Jorge Bastos-Santos, Sara Sá, Lídia Nicolau, Ana Marçalo, Carina Marques, Ana Sofia Tavares, Myriam De Bonis, Pablo Covelo, José Martínez-Cedeira, Alfredo López, Marina Sequeira, José Vingada and Catarina Eira
Animals 2023, 13(16), 2632; https://doi.org/10.3390/ani13162632 - 15 Aug 2023
Cited by 4 | Viewed by 1843
Abstract
The Iberian harbour porpoise population is small and fisheries bycatch has been described as one of its most important threats. Data on harbour porpoise strandings collected by the Portuguese and Galician stranding networks between 2000 and 2020 are indicative of a recent mortality [...] Read more.
The Iberian harbour porpoise population is small and fisheries bycatch has been described as one of its most important threats. Data on harbour porpoise strandings collected by the Portuguese and Galician stranding networks between 2000 and 2020 are indicative of a recent mortality increase in the western Iberian coast (particularly in northern Portugal). Overall, in Portugal and Galicia, individuals stranded due to confirmed fishery interaction represented 46.98% of all analysed porpoises, and individuals stranded due to probable fishery interaction represented another 10.99% of all analysed porpoises. Considering the Portuguese annual abundance estimates available between 2011 and 2015, it was possible to calculate that an annual average of 207 individuals was removed from the population in Portuguese waters alone, which largely surpasses the potential biological removal (PBR) estimates (22 porpoises, CI: 12–43) for the same period. These results are conservative and bycatch values from strandings are likely underestimated. A structured action plan accounting for new activities at sea is needed to limit the Iberian porpoise population decline. Meanwhile, there is an urgent need for a fishing effort reorganization to directly decrease porpoise mortality. Full article
(This article belongs to the Section Aquatic Animals)
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<p>Harbour porpoise strandings in the western Iberian coast considering the overall study period (2000–2020) and four different periods (KDE, 30 km radius).</p>
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<p>Matrix heatmaps for monthly porpoise strandings by year (column: years; row: months), total monthly and seasonal porpoise strandings (right side columns) and annual porpoise strandings and total porpoise strandings within the four considered study periods (bottom rows) (<b>a</b>) in Portugal; (<b>b</b>) and in Galicia.</p>
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<p>Smoothers for the seasonal effect (month) on the harbour porpoise strandings considering (<b>a</b>) the total strandings data; (<b>b</b>) strandings on the Portuguese coast and (<b>c</b>) strandings on the Galician coast. Dashed lines represent 95% confidence intervals.</p>
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<p>Matrix heatmaps for seasonal porpoise strandings by each of the four considered periods (column: periods; row: seasons) in Portugal and in Galicia. Total number of porpoise strandings (upper matrixes) and number of porpoises identified as stranded due to bycatch (lower matrixes).</p>
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16 pages, 9753 KiB  
Article
Sea Level Rise Effects on the Sedimentary Dynamics of the Douro Estuary Sandspit (Portugal)
by Francisca Caeiro-Gonçalves, Ana Bio, Isabel Iglesias and Paulo Avilez-Valente
Water 2023, 15(15), 2841; https://doi.org/10.3390/w15152841 - 6 Aug 2023
Viewed by 1400
Abstract
Sandspits are important natural defences against the effects of storm events in estuarine regions, and their temporal and spatial dynamics are related to river flow, wave energy, and wind action. Understanding the impact of extreme wave events on the morphodynamics of these structures [...] Read more.
Sandspits are important natural defences against the effects of storm events in estuarine regions, and their temporal and spatial dynamics are related to river flow, wave energy, and wind action. Understanding the impact of extreme wave events on the morphodynamics of these structures for current conditions and future projections is of paramount importance to promote coastal and navigation safety. In this work, a numerical analysis of the impact of a storm on the sandspit of the Douro estuary (NW Portugal) was carried out considering several mean sea level conditions induced by climate change. The selected numerical models were SWAN, for hydrodynamics, and XBeach, for hydrodynamic and morphodynamic assessments. The extreme event selected for this study was based on the meteo-oceanic conditions recorded during Hurricane Christina (January 2014), which caused significant damage on the western Portuguese coast. The analysis focused on the short-term (two days) impact of the storm on the morphodynamics of the sandspit in terms of its erosion and accretion patterns. The obtained results demonstrate that the mean sea level rise will induce some increase in the erosion/accretion volumes on the seaward side of the sandspit. Overtopping of the detached breakwater and the possibility of wave overtopping of the sandspit crest were observed for the highest simulated mean sea levels. Full article
(This article belongs to the Section Oceans and Coastal Zones)
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<p>Aerial view of the Douro mouth (adapted from Google Earth, <a href="http://earth.google.com/web/" target="_blank">earth.google.com/web/</a>, accessed on 27 June 2023).</p>
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<p>(<b>a</b>) Significant (<span style="color:#ED7D31">●●●</span>) and maximum (<span style="color:#4472C4">●●●</span>) wave heights recorded at the Leixões wave buoy (time referred to 00h00 UTC 6 January 2014). (<b>b</b>) Ascending zero-crossing (<span style="color:#ED7D31">●●●</span>) and maximum (<span style="color:#4472C4">●●●</span>) wave periods recorded at the Leixões wave buoy (time referred to 00h00 UTC 6 January 2014).</p>
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<p>(<b>a</b>) Boundaries and bathymetry of model M1, Ibero-Atlantic regional model (<span style="color:red">▬</span>), and location of model M2 (<span style="color:#FF00FF">▬</span>); horizontal datum: WGS84 (epsg:4326), vertical datum: mean sea level (MSL) in 2021. (<b>b</b>) Boundaries and bathymetry of model M2, Espinho-Lavra coastal model (<span style="color:#FF00FF">▬</span>), and location of model M3 (<span style="color:red">▬</span>); horizontal datum: WGS84 (epsg:4326), vertical datum: MSL in 2021. (<b>c</b>) Computational domain and topobathymetry of the Foz do Douro local model M3; horizontal datum: ETRS89/PT-TM06 (epsg:3763), vertical datum: Cascais 1938 (epsg:5780), corresponding to the adopted mean sea level (NMM).</p>
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<p>Comparison of the observed (o) and synthetic (<b>—</b>) water level time series at Viana do Castelo (time referred to 00h00 UTC on 1 August 2014). For clarity, only the first two weeks are shown.</p>
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<p>Detail of the initial topobathymetry of the Douro estuary and river mouth and location of transects 1–4 (details about the data sources used are given in <a href="#sec2dot1-water-15-02841" class="html-sec">Section 2.1</a>).</p>
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<p>Time-averaged significant wave height in the period 18h00–21h00 UTC on 6 January 2014, for scenarios S1 and S7.</p>
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<p>Scenario S1. Extreme (maximum and minimum) and mean sea level for (<b>a</b>) transect 1, (<b>b</b>) transect 2, (<b>c</b>) transect 3 (W–E direction), and (<b>d</b>) transect 4 (S–N direction).</p>
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<p>Scenario S7. Extreme (maximum and minimum) and mean sea level for (<b>a</b>) transect 1, (<b>b</b>) transect 2, (<b>c</b>) transect 3 (W–E direction), and (<b>d</b>) transect 4 (S–N direction).</p>
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<p>Erosion and accretion of the sandspit at 00h00 UTC on 8 January 2014 for scenarios S1 and S7.</p>
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<p>Scenario S1. Evolution of topobathymetric profiles for (<b>a</b>) transect 1, (<b>b</b>) transect 2, (<b>c</b>) transect 3 (W–E direction), and (<b>d</b>) transect 4 (S–N direction).</p>
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<p>Scenario S7. Evolution of topobathymetric profiles for (<b>a</b>) transect 1, (<b>b</b>) transect 2, (<b>c</b>) transect 3 (W–E direction), and (<b>d</b>) transect 4 (S–N direction).</p>
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16 pages, 2029 KiB  
Article
Exopolysaccharide Production from Marine-Derived Brevundimonas huaxiensis Obtained from Estremadura Spur Pockmarks Sediments Revealing Potential for Circular Economy
by Marta Catalão, Mafalda Fernandes, Lorena Galdon, Clara F. Rodrigues, Rita G. Sobral, Susana P. Gaudêncio and Cristiana A. V. Torres
Mar. Drugs 2023, 21(7), 419; https://doi.org/10.3390/md21070419 - 23 Jul 2023
Cited by 2 | Viewed by 2101
Abstract
Marine environments represent an enormous biodiversity reservoir due to their numerous different habitats, being abundant in microorganisms capable of producing biomolecules, namely exopolysaccharides (EPS), with unique physical characteristics and applications in a broad range of industrial sectors. From a total of 67 marine-derived [...] Read more.
Marine environments represent an enormous biodiversity reservoir due to their numerous different habitats, being abundant in microorganisms capable of producing biomolecules, namely exopolysaccharides (EPS), with unique physical characteristics and applications in a broad range of industrial sectors. From a total of 67 marine-derived bacteria obtained from marine sediments collected at depths of 200 to 350 m from the Estremadura Spur pockmarks field, off the coast of Continental Portugal, the Brevundimonas huaxiensis strain SPUR-41 was selected to be cultivated in a bioreactor with saline culture media and glucose as a carbon source. The bacterium exhibited the capacity to produce 1.83 g/L of EPS under saline conditions. SPUR-41 EPS was a heteropolysaccharide composed of mannose (62.55% mol), glucose (9.19% mol), rhamnose (19.41% mol), glucuronic acid (4.43% mol), galactose (2.53% mol), and galacturonic acid (1.89% mol). Moreover, SPUR-41 EPS also revealed acyl groups in its composition, namely acetyl, succinyl, and pyruvyl. This study revealed the importance of research on marine environments for the discovery of bacteria that produce new value-added biopolymers for pharmaceutical and other biotechnological applications, enabling us to potentially address saline effluent pollution via a sustainable circular economy. Full article
(This article belongs to the Section Marine Biotechnology Related to Drug Discovery or Production)
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<p>Evaluation of cell dry weight (CDW) (g/L) and exopolysaccharide (EPS) (g/L) production for the selected strains cultivated in M1 medium. Results are the mean of duplicate measurements. (<span style="color:#E36C0A">●</span>) CDW g/L; (<span style="color:#FFC000">●</span>) EPS g/L.</p>
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<p>Sugar monomer composition of EPS produced by SPUR strains in 200 mL of M1 SSW. (<span style="color:#4F81BD">●</span>) Fucose; (<span style="color:#E36C0A">●</span>) rhamnose; (<span style="color:#A6A6A6">●</span>) arabinose; (<span style="color:#FFC000">●</span>) galactose; (<span style="color:#4BACC6">●</span>) mannose; (<span style="color:#92D050">●</span>) glucose; (<span style="color:#215868">●</span>) glucuronic acid; (<span style="color:#833C0B">●</span>) galacturonic acid.</p>
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<p>Phylogenetic tree of the alignments of the 16S rRNA gene for three different strains isolated from the Estremadura Spur pockmarks field (Portugal), namely SPUR-41, SPUR-55, and SPUR-64, using the evolutionary model GTR + I + G using jmodeltest-2.1.10 analysis (Vigo University, Vigo, Spain) [<a href="#B45-marinedrugs-21-00419" class="html-bibr">45</a>]. Sequences were aligned using MAFFT v7.490 (Osaka University, Suita, Osaka, Japan) [<a href="#B46-marinedrugs-21-00419" class="html-bibr">46</a>] and trimmed to 1300 bp with trimAL trimAl 1.2rev59 (Centre for Genomic Regulation, Barcelona, Spain) [<a href="#B47-marinedrugs-21-00419" class="html-bibr">47</a>]. The tree was created using Iqtree v2.0.7 (University of Vienna, Vienna, Austria) [<a href="#B48-marinedrugs-21-00419" class="html-bibr">48</a>] with 5000 bootstraps.</p>
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<p>Evaluation of cell dry weight (CDW) (g/L) (<span style="color:#ED7D31">●</span>) and exopolysaccharide (EPS) (<span style="color:#FFD966">●</span>) (g/L) production for selected strains cultivated in M1 medium with NSW at 30 °C and 19 °C. Comparison with CDW and EPS from SSW.</p>
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<p>Sugar monomer composition of EPS synthesized by SPUR-41, -55, and -64 in 200 mL of M1 SSW, M1 NSW, and M1 NSW at 19 °C. (<span style="color:#4F81BD">●</span>) Fucose; (<span style="color:#E36C0A">●</span>) rhamnose; (<span style="color:#A6A6A6">●</span>) arabinose; (<span style="color:#FFC000">●</span>) galactose; (<span style="color:#4BACC6">●</span>) mannose; (<span style="color:#92D050">●</span>) glucose; (<span style="color:#215868">●</span>) glucuronic acid; (<span style="color:#833C0B">●</span>) galacturonic acid.</p>
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<p>Batch cultivation profile of <span class="html-italic">Brevundimonas huaxiensis</span> SPUR-41 on a 2 L bioreactor using glucose as a carbon source, (<span style="color:#7030A0">■</span>) Glucose (g/L) and (<span style="color:#C00000">♦</span>) nitrogen consumption (g/L), (<span style="color:#EFAE2D">▲</span>) cellular growth (CDW, g/L), and (<span style="color:#92D050">●</span>) EPS production (g/L).</p>
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23 pages, 7520 KiB  
Article
Evaluation of Coastal Protection Strategies at Costa da Caparica (Portugal): Nourishments and Structural Interventions
by Francisco Sancho
J. Mar. Sci. Eng. 2023, 11(6), 1159; https://doi.org/10.3390/jmse11061159 - 31 May 2023
Cited by 3 | Viewed by 2133
Abstract
Costa da Caparica beach, in Portugal, has suffered from chronic erosion for the last 50 years, a phenomenon that has been countered by various management interventions. This study aims at comparing sixteen possible interventions, thus identifying the most effective one(s) in terms of [...] Read more.
Costa da Caparica beach, in Portugal, has suffered from chronic erosion for the last 50 years, a phenomenon that has been countered by various management interventions. This study aims at comparing sixteen possible interventions, thus identifying the most effective one(s) in terms of reducing beach erosion or even promoting beach accretion. This exercise is achieved using a one-line shoreline evolution model, calibrated with in situ field data, forced by local wave conditions. The target management period is 25 years. In the calibration phase, it is found that the annual mean alongshore net sediment transport along the 24 km sandy coast is variable in direction and magnitude, but it is mostly smaller than ±50 × 103 m3/year. This net transport results from the imbalance of northward/southward-directed bulk transports of circa tenfold-larger magnitudes. This affects the overall sediment balance at the urban beaches, as well as the effectiveness of the intervention strategies. The results show that the present management strategy is effective in holding the shoreline position, although deploying the same nourishment volume but over a shorter area could lead to better results. The best solutions, which are capable of promoting beach accretion, implicate the lengthening of the terminal groin at the northern extremity of the beach. The results from this study can support decision makers in identifying the most appropriate management action, not just locally but also at other coastal regions where similar problems persist and the same methodology could be applied. Full article
(This article belongs to the Special Issue Sediment Dynamics in Artificial Nourishments)
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Figure 1

Figure 1
<p>Study area with place names, reference or baseline (deep orange) and 8, 16 and 30 m isobaths. (Adapted from geomar.hidrografico.pt, accessed on 20 May 2023, using ESRI World Imagery).</p>
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<p>Images of Costa da Caparica beaches: <span class="html-italic">Praia de São João da Caparica</span> (<b>left</b>), and central urban beach, confined by groynes and an inland revetment (<b>right</b>).</p>
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<p>Groin’s identification at Costa da Caparica beach.</p>
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<p>Modelled (calibrated; red) and measured (green) shoreline positions in 2004 over the entire study area. Initial shoreline configuration in 1979 (dark blue) and hard structures (groins and coastal revetment; black). The limits of the sectors referred to in <a href="#jmse-11-01159-t003" class="html-table">Table 3</a> are market in light blue, at the top.</p>
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<p>Modelled (red) and measured (green) shoreline positions in 2018 at Costa da Caparica beaches. Initial shoreline configuration in 2004 (black thin line) and hard structures (groins and coastal revetment; black thick line). (<b>a</b>) Results from post-calibration simulation; (<b>b</b>) results from post-verification simulation.</p>
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<p>Modelled shoreline positions 20 years past initial configuration (2018) at Costa da Caparica beaches for intervention strategies A1, A2, A3 and A4.</p>
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<p>Time-evolution of mean shoreline position relative to initial position at Costa da Caparica beaches for intervention strategies A1, A2, A3 and A4.</p>
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<p>Modelled shoreline positions 20 years past initial configuration (2018) at Costa da Caparica beaches for intervention strategies: (<b>a</b>) A1, B2, B2 and B6; (<b>b</b>) B1, B3.1, B3.2 and B3.3; (<b>c</b>) A1, B4.1, B4.2 and B4.3; (<b>d</b>) A3, B5.1, B5.2 and B5.3.</p>
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<p>Time-evolution of mean shoreline position relative to initial configuration at Costa da Caparica beaches for intervention strategies: (<b>a</b>) A1, B1, B2 and B6; (<b>b</b>) B1, B3.1, B3.2 and B3.3; (<b>c</b>) A1, B4.1, B4.2 and B4.3; (<b>d</b>) A3, B5.1, B5.2 and B5.3.</p>
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<p>Alongshore annual mean sediment flux spatial distribution, for the post-calibration model simulations (1979–2004).</p>
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<p>Annual mean net sediment fluxes for all intervention scenarios at: (<b>a</b>) x = 24,000 m; (<b>b</b>) x = 19,500 m.</p>
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<p>Accumulated sediment budget, artificial nourishments and average shoreline advance/retreat at Costa da Caparica cell (comprised within 19,500 ≤ x ≤ 24,000 m), for the various intervention strategies.</p>
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