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  • 1
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    New Knowledge on Distribution and Abundance of Toxic Microalgal Species and Related Toxins in the Northwestern Black Sea (2022)
    MDPI
    In:  EPIC3Toxins, MDPI, 14(10), pp. 685, ISSN: 2072-6651
    Details
    Publication Date: 2022-10-16
    Description: Numerous potentially toxic plankton species commonly occur in the Black Sea, and phycotoxins have been reported. However, the taxonomy, phycotoxin profiles, and distribution of harmful microalgae in the basin are still understudied. An integrated microscopic (light microscopy) and molecular (18S rRNA gene metabarcoding and qPCR) approach complemented with toxin analysis was applied at 41 stations in the northwestern part of the Black Sea for better taxonomic coverage and toxin profiling in natural populations. The combined dataset included 20 potentially toxic species, some of which (Dinophysis acuminata, Dinophysis acuta, Gonyaulax spinifera, and Karlodinium veneficum) were detected in over 95% of the stations. In parallel, pectenotoxins (PTX-2 as a major toxin) were registered in all samples, and yessotoxins were present at most of the sampling points. PTX-1 and PTX-13, as well as some YTX variants, were recorded for the first time in the basin. A positive correlation was found between the cell abundance of Dinophysis acuta and pectenotoxins, and between Lingulodinium polyedra and Protoceratium reticulatum and yessotoxins. Toxic microalgae and toxin variant abundance and spatial distribution was associated with environmental parameters. Despite the low levels of the identified phycotoxins and their low oral toxicity, chronic toxic exposure could represent an ecosystem and human health hazard.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 2
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    Editorial: Adaptation and phenotypic plasticity to climate change. (2022)
    Frontiers
    In:  EPIC3Frontiers in Marine Science, Frontiers, 9(893117)
    Details
    Publication Date: 2022-04-25
    Description: Anthropogenic activities are driving rapid changes in aquatic environments. Numerous studies suggest that climatic shifts and anomalies will convey severe consequences for ecosystems worldwide, leading to disruptions in key processes within populations including larval development, individual growth, and reproductive success. This is further exacerbated by the negative impacts on between-species interactions, and changes to biodiversity and ecosystem services (Munday et al., 2013). Understanding the responses of organisms to environmental shifts is imperative to help predict their fate on a changing planet. Particularly, the capacity of individuals and populations to cope through phenotypic plasticity and adaptation is of critical interest, with advances in genomics and epigenomics techniques helping to unveil the underlying molecular mechanisms (Eirin-Lopez and Putnam, 2019). However, major knowledge gaps remain about the adaptive potential of marine organisms to respond to future ocean conditions. The aim of this Research Topic was to bring together novel research approaches that examine acclimation and adaptation processes in marine organisms, their role in population resilience, and implications for geographical distributions and range shifts under rapid climate change. Contributions to the topic span a broad range of taxa, and investigate a diverse array of response mechanisms such as thermal safety margins (Bennett et al.), thermotolerance via endosymbionts and gene expression (Naugle et al.), tolerance via changes in allele frequencies (Knöbel et al.), local adaptation and maternal effects (Richards et al.), transgenerational plasticity (TGP; Chang et al.), environment-dependent reproductive success (Wanzenböck et al.), and phenological shifts to long-term seasonal changes (Xia et al.). Furthermore, the importance of environmental variability (not only mean changes) at different time scales, the role of developmental or life history stage in phenotypic responses, as well as future challenges for plasticity research (both within and across generations) are outlined in Bautista and Crespel.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
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    Dynamic Species Distribution Models in the Marine Realm: Predicting Year-Round Habitat Suitability of Baleen Whales in the Southern Ocean (2021)
    Frontiers
    In:  EPIC3Frontiers in Marine Science, Frontiers, 8(802276), ISSN: 2296-7745
    Details
    Publication Date: 2022-01-04
    Description: Species distribution models (SDMs) relate species information to environmental conditions to predict potential species distributions. The majority of SDMs are static, relating species presence information to long-term average environmental conditions. The resulting temporal mismatch between species information and environmental conditions can increase model inference’s uncertainty. For SDMs to capture the dynamic species-environment relationships and predict near-real-time habitat suitability, species information needs to be spatiotemporally matched with environmental conditions contemporaneous to the species’ presence (dynamic SDMs). Implementing dynamic SDMs in the marine realm is highly challenging, particularly due to species and environmental data paucity and spatiotemporally biases. Here, we implemented presence-only dynamic SDMs for four migratory baleen whale species in the Southern Ocean (SO): Antarctic minke, Antarctic blue, fin, and humpback whales. Sightings were spatiotemporally matched with their respective daily environmental predictors. Background information was sampled daily to describe the dynamic environmental conditions in the highly dynamic SO. We corrected for spatial sampling bias by sampling background information respective to the seasonal research efforts. Independent model evaluation was performed on spatial and temporal cross-validation. We predicted the circumantarctic year-round habitat suitability of each species. Daily predictions were also summarized into bi-weekly and monthly habitat suitability. We identified important predictors and species suitability responses to environmental changes. Our results support the propitious use of dynamic SDMs to fill species information gaps and improve conservation planning strategies. Near-real-time predictions can be used for dynamic ocean management, e.g., to examine the overlap between habitat suitability and human activities. Nevertheless, the inevitable spatiotemporal biases in sighting data from the SO call for the need for improving sampling effort in the SO and using alternative data sources (e.g., passive acoustic monitoring) in future SDMs. We further discuss challenges of calibrating dynamic SDMs on baleen whale species in the SO, with a particular focus on spatiotemporal sampling bias issues and how background information should be sampled in presence-only dynamic SDMs. We also highlight the need to integrate visual and acoustic data in future SDMs on baleen whales for better coverage of environmental conditions suitable for the species and avoid constraints of using either data type alone.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 4
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    Practical Issues in Monitoring a Hydrocarbon Cultivation Activity in Italy: The Pilot Project at the Cavone Oil Field (2021)
    Frontiers
    Details
    Publication Date: 2021-11-12
    Description: In this paper we describe the results of an experimental implementation of the recent guidelines issued by the Italian regulatory body for monitoring hydrocarbon production activities. In particular, we report about the pilot study on seismic, deformation, and pore pressure monitoring of the Mirandola hydrocarbon cultivation facility in Northern Italy. This site hosts the Cavone oil field that was speculated of possibly influencing the 2012 ML 5.8 Mirandola earthquake source. According to the guidelines, the monitoring center should analyse geophysical measurements related to seismicity, crustal deformation and pore pressure in quasi real-time (within 24–48 h). A traffic light system would then be used to regulate underground operations in case of detecting significant earthquakes (i.e., events with size and location included in critical ranges). For these 2-year period of guidelines experimentation, we analysed all different kinds of available data, and we tested the existence of possible relationship between their temporal trends. Despite the short time window and the scarce quantity of data collected, we performed the required analysis and extracted as much meaningful and statistically reliable information from the data. We discuss here the most important observations drawn from the monitoring results, and highlight the lessons learned by describing practical issues and limitations that we have encountered in carrying out the tasks as defined in the guidelines. Our main goal is to contribute to the discussion about how to better monitor the geophysical impact of this kind of anthropogenic activity. We point out the importance of a wider seismic network but, mostly, of borehole sensors to improve microseismic detection capabilities. Moreover, the lack of an assessment of background seismicity in an unperturbed situation -due to long life extraction activities- makes it difficult to get a proper picture of natural background seismic activity, which would be instead an essential reference information for a tectonically-active regions, such as Northern Italy.
    Description: “Convenzione tra il comune di San Possidonio e l’Istituto Nazionale di Geofisica e Vulcanologia -I.N.G.V.- per l’attuazione del monitoraggio nella concessione di coltivazione idrocarburi “Mirandola” finalizzata alla messa in opera di attività di monitoraggio di sperimentazione degli indirizzi e linee guida per i monitoraggi ILG ed assunzione funzioni di Struttura Preposta al Monitoraggio di cui all’art. 6 del Protocollo Operativo”
    Description: Published
    Description: 685300
    Description: 3SR TERREMOTI - Attività dei Centri
    Description: JCR Journal
    Keywords: Italian guidelines for monitoring industrial activities ; induced seismicity ; pore pressure monitoring ; deformation monitoring ; seismic monitoring ; 04.06. Seismology ; 05.09. Miscellaneous ; 04.02. Exploration geophysics ; 04.03. Geodesy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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