1. First record of Pammene blockiana (Lepidoptera: Tortricidae) in RussiaMargarita G. Kovalenko, Julia A. Lovtsova, E.N. Akulov, A. V. Shipulin, S.V. Nedoshivina, Stanislav Gomboc, Natalia N. Karpun, Natalia I. Kirichenko, 2025, izvirni znanstveni članek Povzetek: The study reports the first record of the tortricid moth Pammene blockiana from Russia. Its males were captured in Sochi in May 2025 in pheromone traps baited with the synthetic sex pheromone of the quarantine pest, the Oriental fruit moth Grapholita molesta. A total of 48 males of P. blockiana were collected from seven traps deployed in gardens and ornamental tree plantings in Sochi. The species was identified based on morphology (forewing pattern and genitalia) and DNA barcoding. The specimens from Sochi showed low genetic variability (0.2 % among three males from three sites) and clustered with individuals from Greece, with a maximum genetic distance of 1.4 %. In DNA-barcoding fragment, Pammene oxycedrana was the closest to P. blockiana, with a minimum genetic distance of 5.4 %, followed by Pammene juniperana (7.1 %). Regular catches in the pheromone traps suggest that P. blockiana is established and potentially abundant in Sochi. As its larvae damage cones of Cupressus and Juniperus, the species may represent a potential threat to Cupressaceae in man-made plantings and nature along the Black Sea coast. New data on the species distribution and the photographs of moth and male genitalia of P. blockiana, as well as the photographs of the related moth species are provided. The species diagnosis is given to distinguish P. blockiana from closely related species associated with Cupressaceae in Europe. Possible ecological consequences and the risk of further spread of P. blockiana are discussed Ključne besede: new record, tortricid moth, Cupressus, Juniperus, pheromone trapping, DNA barcoding, Back Sea coast of Russia Objavljeno v DiRROS: 16.06.2026; Ogledov: 26; Prenosov: 20
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2. Environmental DNA Metabarcoding of Cephalopod Diversity in the Tyrrhenian Deep Sea : version v 1.0Martina La Torre, Alex Cussigh, Valentina Crobe, Martina Spiga, Alice Ferrari, Alessia Cariani, Federica Piattoni, Federica Costantini, Silvia Franzellitti, Alberto Pallavicini, David Stanković, Sergio Stefanni, 2025, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: This dataset contains the raw demultiplexed reads of the study "Environmental Metabarcoding of Cephalopod Diversity in the Tyrrhenian Deep Sea". eDNA was extracted from water (wat) and sediment (sed) matrices, amplified with Ceph18S primers that specifically target cephalopods (de Jonge et al. 2021), and sequenced on IonTorrent platform. The names of the files indicate the sampling station (ST1, ST4, ST5, ST6), the replicate number (R1, R2), and the environmental matrix (wat, sed). Ključne besede: eDNA metabarcoding, cephalopod assemblages, deep-sea biodiversity, Dohrn canyo, environmental matrices, reference databases, Tyrrhenian deep sea, Mediterranean deep sea Objavljeno v DiRROS: 08.05.2026; Ogledov: 175; Prenosov: 207
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3. The deep Adriatic transient dataset : version v1Elena Terzić, Vanessa Cardin, Julien Le Meur, Natalija Dunić, Martin Vodopivec, Ivica Vilibić, 2024, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: Potential temperature and practical salinity data in the deep Southern Adriatic Pit from: the E2M3A deep-ocean observatory at 1000 and 1200 m since 2006 (managed by the National Institute of Oceanography and Applied Geophysics (OGS), Trieste, Italy) the D1200 station (CTD data) since 1957 at 1000 m (managed by the Institute of Oceanography and Fisheries (IOF), Split, Croatia) CTD data from opportunistic cruises since 1985 (managed by OGS) at 1000 m Daily temperature, salinity and potential density anomaly data from the Vida buoy in the Gulf of Trieste (Piran) since 2004 (managed by the Marine Biology Station, Piran, Slovenia) Ključne besede: Adriatic Sea, dense water, global warming, Gulf of Trieste Objavljeno v DiRROS: 08.05.2026; Ogledov: 172; Prenosov: 182
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4. Machine learning-driven mapping of prokaryotic community diversity in the Mediterranean Sea using omics, earth observation, and model dataChristian Marchese, Maria Laura Zoffoli, Pierre Ramond, Tinkara Tinta, Neža Orel, 2026, izvirni znanstveni članek Povzetek: Marine prokaryotic communities are major contributors to oceanic food webs and global biogeochemical cycles. However, basin-scale diversity patterns and environmental drivers remain poorly understood. In this study, we applied a machine-learning framework to model the diversity of marine prokaryotic communities across the Mediterranean Sea. Diversity was quantified using the Shannon Diversity Index (SDI) derived from 16S rRNA gene sequencing. The in situ dataset included ~600 samples collected year-round from 2001 to 2023 at coastal and open-water sites, providing broad temporal coverage and multisite spatial sampling. We trained an XGBoost model using satellite-derived and modeled oceanographic variables matched to the SDI observations. The model achieved robust predictive performance (R2 = 0.78 for training and 0.70 for testing, with RMSE = 0.31 and MAPE = 0.05 across both) and captured broad basin spatial and seasonal patterns in prokaryotic community diversity, with greater uncertainty in less-represented regions. Diversity was highest in nutrient-rich coastal areas and during winter mixing, and lowest in summer-stratified or oligotrophic waters. SHAP analysis identified photoperiod as the most significant predictor, underscoring the central role of seasonal light cycles in shaping prokaryotic community diversity. Other predictors exhibited significant season- and region-dependent effects, each contributing positively within specific environmental thresholds. Climatological diversity maps revealed consistent spatiotemporal patterns, highlighting a notable west-to-east decrease in diversity and coastal hotspots. These results demonstrate that machine learning can identify major environmental drivers of prokaryotic diversity and upscale discrete observations to basin-wide predictions. This approach is transferable to other planktonic groups and supports scalable ecosystem monitoring across environmental gradients. Ključne besede: prokaryotic community diversity, machine learning, Mediterranean Sea, omics, Shannon diversity index, remote sensing Objavljeno v DiRROS: 04.05.2026; Ogledov: 183; Prenosov: 164
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6. Training and test datasets, pretrained weights and predictions for HIDRA3 : version v1Marko Rus, Hrvoje Mihanović, Matjaž Ličer, Matej Kristan, 2024, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: HIDRA3 is a state-of-the-art deep neural model for multi-point sea-level prediction based on past sea level observations and future tidal and geophysical forecasts. Published data contain HIDRA3 pretrained weights, predictions for all 50 ensembles, geophysical training and evaluation data and SSH observations from Koper (Slovenia). The structure of the data is described in README.md. Ključne besede: sea level modeling, deep learning, storm surges Objavljeno v DiRROS: 13.04.2026; Ogledov: 153; Prenosov: 162
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7. Phytoplankton diversity in the Northern Adriatic Sea : insights and inconsistencies from microscopy and metabarcodingGiorgia Montali, Francesca Neri, Elisa Banchi, Federica Cerino, Timotej Turk Dermastia, Janja Francé, Patricija Mozetič, 2026, izvirni znanstveni članek Povzetek: Phytoplankton plays a fundamental role in marine ecosystems and is widely used to assess environmental change. In this study, light microscopy and DNA metabarcoding approaches were used to investigate phytoplankton communities at three long-term monitoring sites in the northern Adriatic Sea. By combining the two approaches, more than 500 species were recorded. Metabarcoding detected substantially higher diversity, particularly among small and fragile organisms that are difficult to identify under a microscope, whereas microscopy was better for identifying larger species with distinctive morphology. Because species contain different amounts of genetic material, DNA data can overestimate or underestimate their true contribution to the community. Indeed, after applying correction factors that account for these differences, the DNA-based estimates became more consistent with the microscopy results for several phytoplankton groups. The differences among the samples were influenced more by the approach used than by the sampling location. Overall, combining these two approaches provides an accurate and robust picture of phytoplankton communities. In this way, it is possible to improve the reliability of marine biodiversity assessments and to support better environmental monitoring and management in coastal seas. Ključne besede: phytoplankton, diversity, environmental DNA, Long-Term Ecological Research, amplicon sequencing, North Adriatic Sea Objavljeno v DiRROS: 25.03.2026; Ogledov: 289; Prenosov: 220
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8. Microalgal communities in mucilage aggregates (Northern Adriatic Sea, summer 2024) based on microscopy and metabarcodingMarika Ubaldi, Francesca Neri, Giorgia Montali, Tiziana Romagnoli, Aurora Tomasini, Federica Cerino, Timotej Turk Dermastia, Patricija Mozetič, Janja Francé, Camilla Spoto, Stefano Accoroni, Cecilia Totti, 2026, izvirni znanstveni članek Povzetek: The mucilage phenomenon consists of the appearance of large gelatinous aggregates floating in the water column. In summer 2024, this event has reappeared in the Northern Adriatic Sea (NAS) on a large scale. This study provides an integrated characterization of the microalgal community within mucilage aggregates and surrounding waters in two NAS areas (Gulf of Trieste and Conero Riviera) using light microscopy (LM), metabarcoding (MB) based on ribosomal 18S V4 and V9 markers, and scanning electron microscopy (SEM) for selected taxa identification. Mucilage aggregates acted as dynamic microbial hotspots, hosting a rich diatom community, with abundances 1–2 orders of magnitude higher than in the surrounding water. Dominant diatom species were Cylindrotheca closterium, Nitzschia spp., Nitzschia gobbii, and Thalassionema nitzschioides. Some phytoflagellates (e.g., Tetraselmis spp.) and dinoflagellates (e.g., Karlodinium veneficum, Pseliodinium fusus, and Wangodinium sinense) were detected exclusively by MB, while LM and SEM revealed species missed by other approaches. Gonyaulax fragilis, one of the species indicated as an important mucus producer, was present at the onset and throughout the phenomenon, as detected by LM and MB. The integrated approach improves knowledge of microalgal communities in NAS mucilage. Ključne besede: mucilage, Northern Adriatic Sea, phytoplankton, microalgae, metabarcoding, microscopy, Gonyaulax fragilis, Harmful Algal Blooms Objavljeno v DiRROS: 27.01.2026; Ogledov: 444; Prenosov: 356
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9. Unveiling microalgal diversity in Slovenian transitional waters (Adriatic Sea) : a first step toward ecological status assessmentPetra Slavinec, Janja Francé, Ana Fortič, Patricija Mozetič, 2026, izvirni znanstveni članek Povzetek: This study presents the first comprehensive assessment of microalgal diversity in two Slovenian transitional waters (TWs): the shallow brackish lagoon of the Škocjanski Zatok Nature Reserve (SZNR) and the Rižana River estuary within the Port of Koper (PK) area. Between 2018 and 2021, water samples collected with a phytoplankton net were analyzed using light and scanning electron microscopy. In total, 240 species from 117 genera were identified in TW, dominated by diatoms and dinoflagellates, surpassing the diversity at a marine coastal station (91 species, 59 genera). Species richness was higher in PK (226) than in SZNR (154), mainly due to dinoflagellates and coccolithophores. Marine taxa predominated along the salinity gradient, with moderate contributions from brackish taxa and fewfreshwater forms, reflecting both natural and anthropogenic influences. Planktonic taxa dominated at all sites, while benthic forms were abundant in the lagoon, particularly in spring. Thirty-two taxa were recorded for the first time in Slovenian TW, mostly benthic or tychopelagic diatoms. The detection of Coolia monotis and five cyanobacterial genera with potentially harmful traits highlights the role of TW as an ecological interface. The taxonomic sufficiency analysis showed that the order level is sufficient to distinguish transitional from marine assemblages, beyond which ecological information is lost. Overall, this study highlights the importance of detailed taxonomic resolution for detecting microalgal diversity, including harmful and non-indigenous species to ensure robust ecological assessments under the WFD and MSFD directives. Ključne besede: transitional waters, diversity, phytoplankton, harmful algal blooms, non-indigenous species, Adriatic Sea Objavljeno v DiRROS: 27.01.2026; Ogledov: 459; Prenosov: 442
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10. Unprecedented warming and salinization observed in the deep AdriaticElena Terzić, Vanessa Cardin, Julien Le Meur, Natalija Dunić, Martin Vodopivec, Ivica Vilibić, 2025, izvirni znanstveni članek Povzetek: The deep Southern Adriatic is a Mediterranean region highly sensitive to climate change, influenced by dense water cas-cading from the northern Adriatic and heat/salt transport from the Eastern Mediterranean. Historical (since 1957) andmodern (permanent and opportunistic temperature and salinity sampling, Argo floats, fixed moorings) measurementsreveal a substantial change since the mid-2000s in thermohaline properties. Historically marked by steady increases intemperature, salinity, and density, with substantial saw-tooth decadal variability, the near-bottom Southern Adriatic hasexperienced unprecedented warming (0.8C) and salinization (0.2) over the past decade, accelerating in time and revers-ing density trends. The inflow of much more saline waters reduced stratification and altered dense water properties atits source in the northern Adriatic. This at least fivefold acceleration of the high-emission regional climate projectionsmay have substantial effects on the Adriatic biogeochemistry and living organisms, changing sea level trends and more. Ključne besede: Adriatic Sea, dense water, global warming, Gulf of Trieste Objavljeno v DiRROS: 23.01.2026; Ogledov: 352; Prenosov: 288
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