Environmental factors are encoded in shells of marine bivalves in the form of geochemical properties, shell microstructure and shell growth rate. Few studies have investigated how shell growth is affected by habitat conditions in natural populations of the commercial clam Chamelea gallina. Here, skeletal parameters (micro-density and apparent porosity) and growth parameters (bulk density, linear extension and net calcification rates) were investigated in relation to shell sizes and environmental parameters along a latitudinal gradient in the Adriatic Sea (400 km). Net calcification rates increased with increasing solar radiation, sea surface temperature and salinity and decreasing Chlorophyll concentration in immature and mature shells. In immature shells, which are generally more porous than mature shells, enhanced calcification was due to an increase in bulk density, while in mature shells was due to an increase in linear extension rates. The presence of the Po river in the Northern Adriatic Sea was likely the main driver of the fluctuations observed in environmental parameters, especially salinity and Chlorophyll concentration, and seemed to negatively affect the growth of C. gallina.
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http://dx.doi.org/10.1038/s41598-019-47538-1 | DOI Listing |
Sci Rep
January 2025
Department of Sciences, University of Roma Tre, Viale Guglielmo Marconi, Roma, 446 - 00146, Italy.
Sound detection in fishes relies on the inner ear and peripheral structures, such as calcareous otoliths, which play a crucial role in perceiving movement, orientation, and balance. Otoliths, in particular, respond to various environmental factors including temperature, salinity, and food availability, making them valuable indicators of ecological conditions. This study applies geometric morphometrics (GMM) to analyze the otolith shape of Diplodus annularis (Linnaeus, 1758) from two distinct populations located in the Gulf of Asinara (Porto Torres, Sardinia) and the northern Adriatic Sea (Le Tegnue).
View Article and Find Full Text PDFMar Pollut Bull
January 2025
Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, Via Torino 155, 30172 Venice, Mestre, Italy. Electronic address:
Marine pollution management requires identifying all sources of contaminants, yet shipping's role in marine contamination remains unexplored. To address this gap, we investigated shipping contribution to water and air pollutant loads in the Northern Adriatic Sea in 2018 and under two future scenarios. The approach integrated (i) modelled data of shipping-related emissions, (ii) load from tributaries, and (iii) land-based emissions to the atmosphere.
View Article and Find Full Text PDFSci Total Environ
January 2025
School of Biosciences and Veterinary Medicine, University of Camerino, Via Gentile III Da Varano, I-62032 Camerino, MC, Italy. Electronic address:
Nowadays, marine pollution is a global problem which finds in microplastics (MPs) and emerging pollutants, such as perfluoroalkyl substances (PFASs), two of the main culprits. Sea cucumbers are a group of marine benthic invertebrates that show ecological, economic and social relevance. As deposit/suspension feeders, sea cucumbers show high susceptibility to bioaccumulate marine pollutants, including PFASs and MPs.
View Article and Find Full Text PDFInsects
December 2024
Laboratory of Entomology and Agricultural Zoology, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Fytokou St., 38446 Volos, Greece.
The Mediterranean fruit fly (medfly), (Wiedemann 1824; Diptera, Tephritidae), is considered one of the most important pests, infesting more than 300 species of fresh fruit and vegetables worldwide. The medfly is an important invasive species, which has spread from the eastern part of sub-Saharan Africa to all of the world's continents in recent centuries. Currently, the medfly is expanding its geographical range to cooler, temperate areas of the world, including northern areas of Mediterranean countries and continental areas of Central Europe.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
Department of Communication and Space Technologies, Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia.
A method for evaluating Kullback-Leibler (KL) divergence and Squared Hellinger (SH) distance between empirical data and a model distribution is proposed. This method exclusively utilises the empirical Cumulative Distribution Function (CDF) of the data and the CDF of the model, avoiding data processing such as histogram binning. The proposed method converges almost surely, with the proof based on the use of exponentially distributed waiting times.
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