Articles de revues sur le sujet « Malta Sicily channel »
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1
Reyes Suarez, Cook, Gačić, Paduan, Drago et Cardin. « Sea Surface Circulation Structures in the Malta-Sicily Channel from Remote Sensing Data ». Water 11, no 8 (31 juillet 2019) : 1589. http://dx.doi.org/10.3390/w11081589.
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The Malta-Sicily Channel is part of the Sicily Channel system where water and thermohaline properties between the Eastern and Western Mediterranean basins take place. Several mesoscales features are detached from the main circulation due to wind and bathymetric forcing. In this paper, surface circulation structures are studied using different remotely sensed datasets: satellite data (absolute dynamic topography, Cross-Calibrated Multi-Platform wind vector analysis, satellite chlorophyll and sea surface temperature) and high frequency radar data. We identified high frequency motions (at short time scales—hours to days), as well as mesoscale structures fundamental for the understanding of the Malta-Sicily Channel circulation dynamics. One of those is the Malta-Sicily Gyre; an anticyclonic structure trapped between the Sicilian and Maltese coasts, which is poorly studied in the literature and often confused with the Malta Channel Crest and the Ionian Shelf Break Vortex. In order to characterize this gyre, we calculated its kinetic properties taking advantage of the fine-scale temporal and spatial resolution of the high frequency radar data, and thus confirming its presence with an updated version of the surface circulation patterns in the area.
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Cuttitta, Angela, Bernardo Patti, Marianna Musco, Tiziana Masullo, Francesco Placenti, Enza Maria Quinci, Francesca Falco et al. « Inferring Population Structure from Early Life Stage : The Case of the European Anchovy in the Sicilian and Maltese Shelves ». Water 14, no 9 (29 avril 2022) : 1427. http://dx.doi.org/10.3390/w14091427.
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The European anchovy is an important fishing resource in the Sicilian Channel that supports a high recruitment success variability. The presence of two spawning areas, the drifting of the larvae along the currents and the different oceanographic conditions within the region suggest the presence of different larvae subpopulations. Morphometric and biochemical approaches have been used to analyze the differences among larvae collected. The amino acid composition discriminates two larval groups closely related to the spawning regions: Adventure Bank and the shelf between the South of Sicily and Malta. In addition, there are morphometric and growth differences between recently hatched larvae in these two regions, reinforcing the hypothesis of two larval subpopulations and suggesting differences in the parental reproduction effort. Between the South of Sicily and Malta there are growth and biochemical composition differences since larvae from the Maltese coast present a higher protein content and a bigger growth rate than those from Sicily, pointing out that Malta is an area with a better nutritional condition environment. No differences in the growth rate have been observed between the Adventure Bank area and the Maltese shelf, therefore, a diverse nutritional condition cannot be suggested between these two areas despite the Maltese larvae having a higher protein content present.
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Orasi, Arianna, Marco Picone, Aldo Drago, Fulvio Capodici, Adam Gauci, Gabriele Nardone, Roberto Inghilesi et al. « HF radar for wind waves measurements in the Malta-Sicily Channel ». Measurement 128 (novembre 2018) : 446–54. http://dx.doi.org/10.1016/j.measurement.2018.06.060.
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Galea, Pauline, Matthew R. Agius, George Bozionelos, Sebastiano D’Amico et Daniela Farrugia. « A First National Seismic Network for the Maltese Islands—The Malta Seismic Network ». Seismological Research Letters 92, no 3 (31 mars 2021) : 1817–31. http://dx.doi.org/10.1785/0220200387.
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Abstract The Sicily Channel, situated on the leading edge of the African plate as it collides with Europe, presents a range of interesting and complex tectonic processes that have developed in response to various regional stress fields. The characterization and interpretation of the seismic activity, however, still presents a challenge. The Maltese islands, lying approximately 100 km to the south of Sicily, are known to have been affected by a number of earthquakes in the Channel, with some of these events estimated to be very close to the islands. Yet, in the absence of nearby seismic instruments, an accurate evaluation and mapping of small magnitude seismicity, and, hence, the identification of unmapped active faults in the region, remains a challenge. This situation is being partially addressed through the deployment of more seismic stations on the Maltese archipelago. The Malta Seismic Network (MSN; International Federation of Digital Seismograph Networks code ML, see Data and Resources), managed by the Seismic Monitoring and Research Group, within the Department of Geosciences, University of Malta, currently comprises eight broadband, three-component stations covering an area of, approximately, 315 km2. Continuous seismic monitoring is possible following upgrades to real-time data transmission and automated epicenter location, coupled with a virtual seismic network established through SeisComP3, and focused mainly on the Mediterranean region. Such a dense national network, besides improving epicentral location in the Sicily Channel, will provide valuable information on microearthquake activity known to occur in close proximity to the islands, which has been very difficult to study in the past. It will also provide opportunities to study shallow crustal structure, site response on different geological substrates, microseismic noise propagation, and effects of anthropogenic activities. Here, we give a technical description of the MSN and an appraisal of its potential.
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Cosoli, Simone, Aldo Drago, Giuseppe Ciraolo et Fulvio Capodici. « Tidal currents in the Malta – Sicily Channel from high-frequency radar observations ». Continental Shelf Research 109 (octobre 2015) : 10–23. http://dx.doi.org/10.1016/j.csr.2015.08.030.
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Capodici, Fulvio, Simone Cosoli, Giuseppe Ciraolo, Carmelo Nasello, Antonino Maltese, Pierre-Marie Poulain, Aldo Drago, Joel Azzopardi et Adam Gauci. « Validation of HF radar sea surface currents in the Malta-Sicily Channel ». Remote Sensing of Environment 225 (mai 2019) : 65–76. http://dx.doi.org/10.1016/j.rse.2019.02.026.
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Biolchi, S., S. Furlani, F. Antonioli, N. Baldassini, J. Causon Deguara, S. Devoto, A. Di Stefano et al. « Boulder accumulations related to extreme wave events on the eastern coast of Malta ». Natural Hazards and Earth System Sciences Discussions 3, no 10 (6 octobre 2015) : 5977–6019. http://dx.doi.org/10.5194/nhessd-3-5977-2015.
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Abstract. The accumulation of large boulders related to waves generated either by tsunamis or extreme storm events has been observed in different areas of the Mediterranean Sea. Along the NE and E low-lying rocky coasts of Malta tens of large boulder deposits have been surveyed, measured and mapped. These boulders have been detached and moved from the seafloor and lowest parts of the coast by the action of sea waves. In the Sicily–Malta channel, heavy storms are common and originate from the NE and NW winds. Conversely, few severe earthquakes and tsunamis are recorded in historical documents to have hit the Maltese archipelago, originated by seismicity activity related mainly to the Malta Escarpment, the Sicily Channel Rift Zone and the Hellenic Arc. We present a multi-disciplinary study, which aims to define the characteristics of the boulder accumulations along the eastern coast of Malta, in order to assess the coastal geo-hazard implications triggered by the sheer ability of extreme waves to detach and move large rocky blocks inland. The wave heights required to transport coastal boulders were calculated using various hydrodynamic equations. Particular attention was devoted to the quantification of the input parameters required in the workings of these equations. The axis sizes of blocks were measured with 3-D digital photogrammetric techniques and their densities were obtained throughout the use of a N-type Schmidt Hammer. Moreover, AMS ages were obtained from selected marine organisms encrusted on some of the boulders in various coastal sites. The combination of the results obtained by hydrodynamic equations and the radiocarbon dating suggests that the majority of the boulders has been detached and moved by intense storm waves. Nonetheless, it is possible that some of them may have been transported by tsunami.
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Ciani, Daniele, Marie-Hélène Rio, Milena Menna et Rosalia Santoleri. « A Synergetic Approach for the Space-Based Sea Surface Currents Retrieval in the Mediterranean Sea ». Remote Sensing 11, no 11 (30 mai 2019) : 1285. http://dx.doi.org/10.3390/rs11111285.
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We present a method for the remote retrieval of the sea surface currents in the Mediterranean Sea. Combining the altimeter-derived currents with sea-surface temperature information, we created daily, gap-free high resolution maps of sea surface currents for the period 2012–2016. The quality of the new multi-sensor currents has been assessed through comparisons to other surface-currents estimates, as the ones obtained from drifting buoys trajectories (at the basin scale), or HF-Radar platforms and ocean numerical model outputs in the Malta–Sicily Channel. The study yielded that our synergetic approach can improve the present-day derivation of the surface currents in the Mediterranean area up to 30% locally, with better performances for the the meridional component of the motion and in the western section of the basin. The proposed reconstruction method also showed satisfying performances in the retrieval of the ageostrophic circulation in the Sicily Channel. In this area, assuming the High Frequency Radar-derived currents as reference, the merged multi-sensor currents exhibited improvements with respect to the altimeter estimates and numerical model outputs, mainly due to their enhanced spatial and temporal resolution.
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Drago, A. F., R. Sorgente et A. Ribotti. « A high resolution hydrodynamic 3-D model simulation of the malta shelf area ». Annales Geophysicae 21, no 1 (31 janvier 2003) : 323–44. http://dx.doi.org/10.5194/angeo-21-323-2003.
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Abstract. The seasonal variability of the water masses and transport in the Malta Channel and proximity of the Maltese Islands have been simulated by a high resolution (1.6 km horizontal grid on average, 15 vertical sigma layers) eddy resolving primitive equation shelf model (ROSARIO-I). The numerical simulation was run with climatological forcing and includes thermohaline dynamics with a turbulence scheme for the vertical mixing coefficients on the basis of the Princeton Ocean Model (POM). The model has been coupled by one-way nesting along three lateral boundaries (east, south and west) to an intermediate coarser resolution model (5 km) implemented over the Sicilian Channel area. The fields at the open boundaries and the atmospheric forcing at the air-sea interface were applied on a repeating "perpetual" year climatological cycle. The ability of the model to reproduce a realistic circulation of the Sicilian-Maltese shelf area has been demonstrated. The skill of the nesting procedure was tested by model-modelc omparisons showing that the major features of the coarse model flow field can be reproduced by the fine model with additional eddy space scale components. The numerical results included upwelling, mainly in summer and early autumn, along the southern coasts of Sicily and Malta; a strong eastward shelf surface flow along shore to Sicily, forming part of the Atlantic Ionian Stream, with a presence throughout the year and with significant seasonal modulation, and a westward winter intensified flow of LIW centered at a depth of around 280 m under the shelf break to the south of Malta. The seasonal variability in the thermohaline structure of the domain and the associated large-scale flow structures can be related to the current knowledge on the observed hydrography of the area. The level of mesoscale resolution achieved by the model allowed the spatial and temporal evolution of the changing flow patterns, triggered by internal dynamics, to be followed in detail. This modelling effort has initiated the treatment of the open boundary conditions problem in view of the future implementation of shelf-scale real-time ocean forecasting through the sequential nesting of a hierarchy of successively embedded model domains for the downscaling of the hydrodynamics from the coarse grid Ocean General Circulation Model of the whole Mediterranean Sea to finer grids in coastal areas. Key words. Oceanography: general (continental shelf processes; numerical modelling) Oceanography: physical (general circulation)
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Todaro, S., A. Sulli, D. Spatola, A. Micallef, P. Di Stefano et G. Basilone. « Depositional mechanism of the upper Pliocene-Pleistocene shelf-slope system of the western Malta Plateau (Sicily Channel) ». Sedimentary Geology 417 (mai 2021) : 105882. http://dx.doi.org/10.1016/j.sedgeo.2021.105882.
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Pulcini, Marina, Daniela Silvia Pace, Gabriella La Manna, Francesca Triossi et Caterina Maria Fortuna. « Distribution and abundance estimates of bottlenose dolphins (Tursiops truncatus) around Lampedusa Island (Sicily Channel, Italy) : implications for their management ». Journal of the Marine Biological Association of the United Kingdom 94, no 6 (7 août 2013) : 1175–84. http://dx.doi.org/10.1017/s0025315413000842.
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This paper represents the first quantitative assessment of the distribution and abundance of bottlenose dolphins (Tursiops truncatus) inhabiting the waters around Lampedusa Island, Italy. Eleven years of photo-identification data, collected from 1996 to 2006 by three different research groups, were brought together, reviewed and analysed to fulfil the following objectives: (i) to obtain baseline information on the abundance and residency of the local bottlenose dolphin putative population; (ii) to review the current Marine Protected Area (MPA) boundaries, especially those referred to waters around Lampedusa Island, with a view to establish a new Special Area of Conservation (SAC); and (iii) to explore the potential and limits of analysing heterogeneous datasets to improve future data collection methods. The most resident dolphins were regularly observed in six specific areas around Lampedusa Island. From a total of 148 photo-identified bottlenose dolphins, 102 were classified as well-marked. The capture histories and the distribution of sightings clearly show a number of dolphins regularly use the study area. Best estimates for the first period within the ‘core study area’ were obtained for 1998 data. The 2005 estimate was significantly larger than the 1998 estimates (z = 2.160;P< 0.05) compared to that of 1998. Implications of our results for the current MPA, for transboundary conservation initiative involving Italy, Malta and Tunisia and for directing future research within and outside the MPA are fully discussed.
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Savini, A., E. Malinverno, G. Etiope, C. Tessarolo et C. Corselli. « Shallow seep-related seafloor features along the Malta plateau (Sicily channel – Mediterranean Sea) : Morphologies and geo-environmental control of their distribution ». Marine and Petroleum Geology 26, no 9 (novembre 2009) : 1831–48. http://dx.doi.org/10.1016/j.marpetgeo.2009.04.003.
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Saliba, Martin, Francelle Azzopardi, Rebecca Muscat, Marvic Grima, Alexander Smyth, Jukka-Pekka Jalkanen, Lasse Johansson et al. « Trends in Vessel Atmospheric Emissions in the Central Mediterranean over the Last 10 Years and during the COVID-19 Outbreak ». Journal of Marine Science and Engineering 9, no 7 (11 juillet 2021) : 762. http://dx.doi.org/10.3390/jmse9070762.
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Giordan Lighthouse, located on the island of Gozo in the Malta-Sicily Channel within the central Mediterranean region, is ideally located to study the primary sources of atmospheric pollution. A total of 10 years of data have been accumulated from the reactive gas and greenhouse gas detectors and the aerosol analyzers found at this Global Atmosphere Watch (GAW) regional station. The data has been evaluated, resulting in trends in emissions from shipping recorded within the same region coming to the fore. The other source of emissions that was evident within the recorded data originated from Mt. Etna, located on the island of Sicily and representing the highest active volcano in Europe. The aim of this paper is to investigate the effect of ship emissions on trace gases and aerosol background measurements at Giordan Lighthouse, including the putative influence of COVID-19 on the same emissions. The model used to evaluate ship emissions was the Ship Traffic Emission Assessment Model (STEAM). From trace gas measurements at Giordan Lighthouse, a slowly decreasing trend in sulfur oxide (SOx) and nitrogen oxide (NOx) emissions was noted. To better understand the air quality results obtained, the STEAM model was fed, as an input, an Automatic Identification System (AIS) dataset to describe the vessel activity in the area concerned. This study also investigates the effects of the COVID19 pandemic on marine traffic patterns within the area and any corresponding changes in the air quality. Such an analysis was carried out through the use of SENTINEL 5 data.
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Wengerowsky, Sören, Siddarth Koduru Joshi, Fabian Steinlechner, Julien R. Zichi, Sergiy M. Dobrovolskiy, René van der Molen, Johannes W. N. Los et al. « Entanglement distribution over a 96-km-long submarine optical fiber ». Proceedings of the National Academy of Sciences 116, no 14 (14 mars 2019) : 6684–88. http://dx.doi.org/10.1073/pnas.1818752116.
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Quantum entanglement is one of the most extraordinary effects in quantum physics, with many applications in the emerging field of quantum information science. In particular, it provides the foundation for quantum key distribution (QKD), which promises a conceptual leap in information security. Entanglement-based QKD holds great promise for future applications owing to the possibility of device-independent security and the potential of establishing global-scale quantum repeater networks. While other approaches to QKD have already reached the level of maturity required for operation in absence of typical laboratory infrastructure, comparable field demonstrations of entanglement-based QKD have not been performed so far. Here, we report on the successful distribution of polarization-entangled photon pairs between Malta and Sicily over 96 km of submarine optical telecommunications fiber. We observe around 257 photon pairs per second, with a polarization visibility above 90%. Our results show that QKD based on polarization entanglement is now indeed viable in long-distance fiber links. This field demonstration marks the longest-distance distribution of entanglement in a deployed telecommunications network and demonstrates an international submarine quantum communication channel. This opens up myriad possibilities for future experiments and technological applications using existing infrastructure.
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Biolchi, Sara, Stefano Furlani, Fabrizio Antonioli, Niccoló Baldassini, Joanna Causon Deguara, Stefano Devoto, Agata Di Stefano et al. « Boulder accumulations related to extreme wave events on the eastern coast of Malta ». Natural Hazards and Earth System Sciences 16, no 3 (16 mars 2016) : 737–56. http://dx.doi.org/10.5194/nhess-16-737-2016.
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Abstract. The accumulation of large boulders related to waves generated by either tsunamis or extreme storm events have been observed in different areas of the Mediterranean Sea. Along the eastern low-lying rocky coasts of Malta, five sites with large boulder deposits have been investigated, measured and mapped. These boulders have been detached and moved from the nearshore and the lowest parts of the coast by sea wave action. In the Sicily–Malta channel, heavy storms are common and originate from the NE and NW winds. Conversely, few tsunamis have been recorded in historical documents to have reached the Maltese archipelago. We present a multi-disciplinary study, which aims to define the characteristics of these boulder accumulations, in order to assess the coastal geo-hazard implications triggered by the sheer ability of extreme waves to detach and move large rocky blocks inland. The wave heights required to transport 77 coastal boulders were calculated using various hydrodynamic equations. Particular attention was given to the quantification of the input parameters required in the workings of these equations, such as size, density and distance from the coast. In addition, accelerator mass spectrometry (AMS) 14C ages were determined from selected samples of marine organisms encrusted on some of the coastal boulders. The combination of the results obtained both by the hydrodynamic equations, which provided values comparable with those observed and measured during the storms, and radiocarbon dating suggests that the majority of the boulders have been detached and moved by intense storm waves. These boulders testify to the existence of a real hazard for the coasts of Malta, i.e. that of very high storm waves, which, during exceptional storms, are able to detach large blocks of volumes exceeding 10 m3 from the coastal edge and the nearshore bottom, and also to transport them inland. Nevertheless, the occurrence of one or more tsunami events cannot be ruled out, since radiocarbon dating of some marine organisms did reveal ages which may be related to historically known tsunamis in the Mediterranean region, such as the ones in AD 963, 1329, 1693 and 1743.
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Todaro, Simona, Attilio Sulli, Daniele Spatola, Gualtiero Basilone et Salvatore Aronica. « Seismic stratigraphy of the north-westernmost area of the Malta Plateau (Sicily Channel) : The Middle Pleistocene-Holocene sedimentation in a tidally influenced shelf ». Marine Geology 445 (mars 2022) : 106740. http://dx.doi.org/10.1016/j.margeo.2022.106740.
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Torri, M., R. Corrado, F. Falcini, A. Cuttitta, L. Palatella, G. Lacorata, B. Patti, M. Arculeo, S. Mazzola et R. Santoleri. « Wind forcing and fate of <i>Sardinella aurita</i> ; eggs and larvae in the Sicily Channel (Mediterranean Sea) ». Ocean Science Discussions 12, no 5 (9 septembre 2015) : 2097–121. http://dx.doi.org/10.5194/osd-12-2097-2015.
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Abstract. Multidisciplinary studies are recently seeking to define diagnostic tools for fishery sustainability by coupling ichthyoplanktonic datasets, physical and bio-geochemical oceanographic measurements, and ocean modelling. The main goal of these efforts is the understanding of those processes that control fate and dispersion of fish larvae and eggs and thus tune the inter-annual variability of biomass of fish species. We here analyzed eggs and larvae distribution and biological features of Sardinella aurita in the northeast sector of the Sicily Channel (Mediterranean Sea) collected during the 2010 and 2011 summer cruises. We make use of satellite sea surface temperature, wind, and chlorophyll data to recognize the main oceanographic patterns that mark eggs and larvae transport processes and we pair these data with Lagrangian runs. To provide a physical explanation of the transport processes that we observe, we hire a potential vorticity (PV) model that takes into account the role of wind stress in generating those cold filaments responsible for the offshore delivery of eggs and larvae. Our results show that the strong offshore transport towards Malta occurring in 2010 is related to a persistent wind forcing along the southern Sicilian coast that generated an observable cold filament. Such a pattern is not found in the 2011 analysis, which indeed shows a more favorable condition for sardinella larvae recruiting with a weak offshore transport. Our results want to add some insights regarding operational oceanography for sustainable fishery.
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Deidun, Alan, Gianni Insacco, Johann Galdies, Paolo Balistreri et Bruno Zava. « Tapping into hard-to-get information : the contribution of citizen science campaigns for updating knowledge on range-expanding, introduced and rare native marine species in the Malta-Sicily Channel ». BioInvasions Records 10, no 2 (2021) : 257–69. http://dx.doi.org/10.3391/bir.2021.10.2.03.
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Cerri, Giovanni. « The Most Archaic Ocean : Beyond the Bosphorus and the Strait of Sicily ». Peitho. Examina Antiqua, no 1(4) (6 janvier 2014) : 13–22. http://dx.doi.org/10.14746/pea.2013.1.1.
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From immemorial time, many Tyrrhenian places of ancient Sicily and Italy were identified (also by the local people) with the main stages of the return of Ulysses (Cyclopes, Aeolus, Circe, etc.). Some Hellenistic critics (for example Aristarchus and Polybius) assumed that it was from the various ancient and pre-Homeric myths that Homer drew inspiration, in the same way that he did with the myth of the Trojan War, which certainly occurred before him. Thus, the voyage of Ulysses, after his losing the course because of the storm at Cape Malea, had to be located in those sites. But how can one explain the fact that Homer places the voyage from Circe to the Hades over the Ocean? Is it only a pseudogeographic poetic touch, aimed to magnify the exploit? Crates of Mallus did not think so: in his opinion, only some of the numerous adventures had taken place in the Tyrrhenian Sea, whereas Homer had purposefully placed some other exactly on the Atlantic Ocean, beyond the Pillars of Hercules (the ancient name given to the Straits of Gibraltar). Whichever of the two models one chooses, the route of Ulysses seems to be completely unlikely, both from the point of view of objective reality and from the point of view of poetic imagination (if one desires to retain at least some plausibility). It appears to be a senseless coming and going that takes the shape of some sort of a labyrinth. Furthermore, the navigation times suggested by the text do not accord at all (even approximately) with the distances among the real sites. For this reason, Eratosthenes held that, from Cape Malea onwards, Ulysses switched from the real world to that of fantasy, or better still to the world of some narrative fable that does not heed geography at all. The modern critics are inclined to agree with him and this thesis is nowadays the most popular one. Yet, a very serious objection can be raised here: the myth and the epos (since the most archaic era), are strictly linked to the geography and the topography as well – they are radically refractory to a narrative fable that totally contradicts the then realities of time and space. Why should Ulysses plunge from Cape Malea onwards straight into the Neverland kingdom? If we combine Odyssey’s data with those we can reconstruct for the earliest form of the Argonautic saga (taking also into account the chronology of the Greek western colonization), then we get the solution that neither the ancient nor the modern critics have guessed correctly: up to around the middle of the 8th century B.C., the Greeks thought the Ocean to flow just after the Sicily Channel, essentially coinciding with the so-called Tyrrhenian Sea, still completely unknown at that time. This new perspective can well justify the objective disorder of Ulysses’ route. Above all, it also bears a deeper poetic sense: the Hero had the chance to know and to experience not only some far and exotic countries in general terms (as it can happen to any off-course sailor), but he also met the very boundaries of the surfacing lands and the rushing waters which encircle the terrestrial disc, bordering the external cosmic abyss. Ulysses came back home alive. He was able to tell the stories about the lands where no human being could ever sail. This borderline that geographically is clearly located marks at the same time the insurmountable chasm between the physical and the meta-physical world.
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Agius, Matthew, Pauline Galea, Daniela Farrugia et Sebastiano D'Amico. « An instrumental earthquake catalogue for the offshore Maltese islands region, 1995–2014 ». Annals of Geophysics 63, Vol 63 (2020) (8 septembre 2020). http://dx.doi.org/10.4401/ag-8383.
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We present the first earthquake catalogue for Malta using 20 years of broadband seismic data recording. For about two decades Malta had only one station (WDD) which formed part of regional networks. Its location in the eastern part of the Sicily Channel puts the station at the periphery of these networks with the result that weak, off-shore earthquakes that occur between Malta and Libya, are in many cases recorded on WDD only and are undetected or unlisted by the regional networks. We adopt the single-station earthquake location method to process the continuously recorded seismic data of station WDD from 1995 to 2014. We combine our earthquake list with the bulletins of INGV and IRIS to catalogue 550 earthquakes. We statistically quantify the uncertainties of the earthquake epicentres and establish that many earthquake locations differ from INGV/IRIS locations by < 20 km at local epicentral distances from WDD and that earthquake magnitudes determined from single-station are overestimated by 0.2. We find that the Malta and Linosa grabens are seismically active, and a high concentration of seismic activity is located 80–120 km SSE of Malta at around 35◦N latitude. Closer to land, clusters of epicentres are also located, within 40 km to the east and south of Malta. This new earthquake catalogue shows that the regional seismicity is higher than previously observed and that a number of submarine structures in the area are active as part of the ongoing extension in the Sicily Channel.
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« Brevicoryne brassicae. [Distribution map]. » Distribution Maps of Plant Pests, December (1 août 1992). http://dx.doi.org/10.1079/dmpp/20056600037.
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Abstract A new distribution map is provided for Brevicoryne brassicae (Linnaeus) Homoptera: Aphididae Mealy cabbage aphid, cabbage aphid. Attacks Brassica spp. and other crucifers. Vector of many virus diseases. Information is given on the geographical distribution in EUROPE, Austria, Azores, Belgium, Bulgaria, Channel Islands, Corsica, Cyprus, Czechoslovakia, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Malta, Netherlands, Norway, Poland, Portugal, Romania, Sicily, Spain, Sweden, Switzerland, Turkey, United Kingdom, Yugoslavia.
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« Cacoecimorpha pronubana. [Distribution map]. » Distribution Maps of Plant Pests, No.June (1 août 2014). http://dx.doi.org/10.1079/dmpp/20143231500.
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Abstract A new distribution map is provided for Cacoecimorpha pronubana (Hübner). Lepidoptera: Tortricidae. Hosts: polyphagous. Information is given on the geographical distribution in Europe (Albania, Belgium, Croatia, Cyprus, Denmark, France, Corsica, Germany, Greece, Crete, Hungary, Ireland, Italy, Sardinia, Sicily, Lithuania, Luxembourg, Malta, Netherlands, Portugal, Madeira, Romania, Serbia, Slovenia, Spain, Balearic Islands, Mainland Spain, Sweden, Switzerland, UK, Channel Islands, England and Wales, Scotland), Asia (Azerbaijan, Israel, Turkey), Africa (Algeria, Libya, Morocco, South Africa, Tunisia), North America (USA, Oregon, Washington).
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« Aculops lycopersici. [Distribution map]. » Distribution Maps of Plant Pests, December (1 août 1987). http://dx.doi.org/10.1079/dmpp20056600164.
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Abstract A new distribution map is provided for Aculops lycopersici (Massee) [Acarina: Eriophyidae] Tomato russet mite. Attacks tomato, aubergine, tobacco, potato, Datura and other Solanaceae. Information is given on the geographical distribution in EUROPE, Bulgaria, Channel Islands, Cyprus, Finland, France, Greece, Malta, Netherlands, Portugal, Sicily, Spain, United Kingdom, USSR, Republic of Georgia, Ukraine, AFRICA, Angola, Egypt, Ethiopia, Libya, Kenya, Mauritius, Morocco, Mozambique, Senegal, South Africa, Tunisia, Zambia, Zimbabwe, ASIA, China, Iran, Iraq, Israel, Lebanon, Saudi Arabia, Sri Lanka, Syria, Turkey, AUSTRALASIA, and PACIFIC ISLANDS, Australia, New South Wales, Queensland, Tasmania, Victoria, Western, Australia, Fiji, Hawaii, New Caledonia, New Zealand, Vanuatu, NORTH AMERICA, Canada, Mexico, USA.
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Schifani, Enrico, Matthew M. Prebus et Antonio Alicata. « Integrating morphology with phylogenomics to describe four island endemic species of Temnothorax from Sicily and Malta (Hymenoptera, Formicidae) ». European Journal of Taxonomy 833 (4 août 2022). http://dx.doi.org/10.5852/ejt.2022.833.1891.
Texte intégralRésumé :
Temnothorax (Myrmicinae, Crematogastrini) is one of the most diverse Holarctic ant genera, and new taxonomic advancements are still frequent worldwide. The Mediterranean region, a global biodiversity hotspot characterized by a complex geographic history, is home to a substantial portion of its described diversity. Sicily is the region’s largest island and, as ongoing investigations are revealing, it is inhabited by a long-overlooked but highly diverse ant fauna that combines multiple biogeographic influences. We combined qualitative and quantitative morphology of multiple castes with phylogenomic analysis based on ultra-conserved elements (UCEs) to describe four species of Temnothorax endemic to Sicily and the neighboring Maltese Islands (Sicilian Channel). Three of these species, T. marae Alicata, Schifani & Prebus sp. nov., T. poldii Alicata, Schifani & Prebus sp. nov. and T. vivianoi Schifani, Alicata & Prebus sp. nov., are new to science, while a redescription clarifies the identity of T. lagrecai (Baroni Urbani, 1964). These descriptions highlight the current difficulties of delimiting monophyletic Temnothorax species groups based on morphological characters. The intra-insular endemicity patterns we revealed highlight the importance of Mediterranean paleogeography to contemporary ant diversity and distribution in the region.
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« Liriomyza bryoniae. [Distribution map]. » Distribution Maps of Plant Pests, June (1 août 1999). http://dx.doi.org/10.1079/dmpp/20066600599.
Texte intégralRésumé :
Abstract A new distribution map is provided for Liriomyza bryoniae (Kaltenbach) Diptera: Agromyzidae Polyphagous, particularly damaging to cabbage (Brassica oleracea var. capitata), cucumber (Cucumis sativus), lettuce (Lactuca sativa), courgette (Cucurbita pepo), melon (Cucumis melo), tomato (Lycopersicon esculentum) and watermelon (Citrullus lanatus). Information is given on the geographical distribution in EUROPE, Albania, Belgium, Bulgaria, Czech Republic, Denmark, Finland, France, Mainland France, Germany, Greece, Crete, Mainland Greece, Hungary, Italy, Sicily, Lithuania, Malta, Moldova, Netherlands, Norway, Poland, Portugal, Azores, Romania, Russia, Central Russia, Southern Russia, Western Siberia, Spain, Mainland Spain, Sweden, UK, Channel Islands, England and Wales, Ukraine, ASIA, China, Anhui, Fujian, Guangdong, Guangxi, Guizhou, Hainan, Hebei, Henan, Hubei, Hunan, Jiangsu, Jiangxi, Sichuan, Yunnan, Zhejiang, India, Maharashtra, Israel, Japan, Korea Republic, Nepal, Taiwan, Turkey, Turkmenistan, AFRICA, Egypt, Morocco.
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« Tuta absoluta. [Distribution map]. » Distribution Maps of Plant Pests, No.June (1 août 2011). http://dx.doi.org/10.1079/dmpp/20113166052.
Texte intégralRésumé :
Abstract A new distribution map is provided for Tuta absoluta Meyrick. Lepidoptera: Gelechiidae. Hosts: tomato (Solanum lycopersicum), potato (S. tuberosum), black nghtshade (S. nigrum), jimsonweed (Datura stramonium) and tree tobacco (Nicotiana glauca). Information is given on the geographical distribution in Europe (Albania, Bulgaria, Cyprus, France, Corsica, Mainland France, Germany, Greece, Crete, Mainland Greece, Hungary, Italy, Mainland Italy, Sardinia, Sicily, Lithuania, Malta, Netherlands, Portugal, Mainland Portugal, Serbia, Spain, Balearic Islands, Canary Islands, Mainland Spain, Switzerland, UK, Channel Islands, England and Wales), Asia (Iraq, Israel and Turkey), Africa (Algeria, Egypt, Libya, Morocco and Tunisia), Central America and Caribbean (Panama), South America (Argentina, Bolivia, Brazil, Bahia, Ceara, Espirito Santo, Goias, Minas Gerais, Parana, Pernambucao, Rio de Janeiro, Rio Grande do Sul, Santa Catarina, Sao Paulo, Chile, Colombia, Ecuador, Paraguay, Peru, Uruguay and Venezuela).
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« Tuta absoluta. [Distribution map]. » Distribution Maps of Plant Pests, No.December (1 août 2013). http://dx.doi.org/10.1079/dmpp/20143031650.
Texte intégralRésumé :
Abstract A new distribution map is provided for Tuta absoluta (Meyrick). Lepidoptera: Gelechiidae. Hosts: tomato (Solanum lycopersicum), potato (Solanum tuberosum). Information is given on the geographical distribution in Europe (Albania, Austria, Bosnia-Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, France, Corsica, Mainland France, Germany, Greece, Crete, Mainland Greece, Hungary, Italy, Mainland Italy, Sardinia, Sicily, Lithuania, Malta, Montenegro, Netherlands, Portugal, Mainland Portugal, Romania, Russia, Southern Russia, Serbia, Slovenia, Spain, Balearic Islands, Canary Islands, Mainland Spain, Switzerland, UK, Channel Islands, England and Wales), Asia (Bahrain, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Qatar, Saudi Arabia, Syria, Turkey, United Arab Emirates, Yemen), Africa (Egypt, Ethiopia, Libya, Morocco, Niger, Senegal, Sudan, Tunisia), Central America and Caribbean (Costa Rica, Panama), South America (Argentina, Bolivia, Brazil, Bahia, Ceara, Espirito Santo, Goias, Mato Grosso, Minas Gerais, Parana, Pernambuco, Rio de Janeiro, Rio Grande do Sul, Santa Catarina, Sao Paulo, Chile, Colombia, Ecuador, Paraguay, Peru, Uruguay, Venezuela).
28
« Leptoglossus occidentalis. [Distribution map]. » Distribution Maps of Plant Pests, No.June (1 août 2018). http://dx.doi.org/10.1079/dmpp/20183202725.
Texte intégralRésumé :
Abstract A new distribution map is provided for Leptoglossus occidentalis Heidemann. Hemiptera: Coreidae. Hosts: Pine (Pinus spp.), Douglas fir (Pseudotsuga menziesii) and Eastern hemlock (Tsuga canadensis). Information is given on the geographical distribution in Europe (Austria, Belgium, Bosnia-Hercegovina, Bulgaria, Croatia, Czech Republic, Denmark, France, Corsica, Mainland France, Germany, Greece, Crete, Hungary, Irish Republic, Italy, Mainland Italy, Sardinia, Sicily, Luxembourg, Macedonia, Malta, Moldova, Montenegro, Netherlands, Norway, Poland, Portugal, Romania, Russia, Southern Russia, Serbia, Slovakia, Slovenia, Spain, Balearic Islands, Mainland Spain, Sweden, Switzerland, UK, Channel Islands, England and Wales, Northern Ireland, Scotland and Ukraine), Asia (Israel, Japan, Honshu, Korea Republic, Lebanon and Turkey), Africa (Morocco and Tunisia), North America (Canada, Alberta, British Columbia, New Brunswick, Nova Scotia, Ontario, Quebec, Saskatchewan, Mexico, USA, Arizona, California, Colorado, Connecticut, Idaho, Illinois, Indiana, Iowa, Kansas, Maine, Massachusetts, Michigan, Minnesota, Montana, Nebraska, New Hampshire, New Mexico, New York, North Dakota, Oregon, Pennsylvania, Rhode Island, Texas, Utah, Washington, Wisconsin and Wyoming) and South America (Chile).
29
« Uromyces viciae-fabae. [Distribution map]. » Distribution Maps of Plant Diseases, no 5) (1 août 1990). http://dx.doi.org/10.1079/dmpd/20046500200.
Texte intégralRésumé :
Abstract A new distribution map is provided for Uromyces viciae-fabae (Pers.) Shröter. Hosts: Broad bean (Vicia faba) and other legumes. Information is given on the geographical distribution in Africa, Algeria, Angola, Egypt, Ethiopia, Eritrea, Kenya, Libya, Madeira, Malawi, Morocco, Mozambique, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia, Zimbabwe, Asia, Afghanistan, Bangladesh, Bhutan, Burma, China, Zheijiang, Hubei, Jiangsu, Sichuan, Henan, Yunnan, Hong Kong, India, Iran, Iraq, Israel, Japan, Korea, Lebanon, Nepal, Pakistan, Ryukyu islands, Sri Lanka, Taiwan, Thailand, Turkey, USSR, Azerbaijan, Georgia, Armenia, kamtchatka, Kazakhstan, Kirgiztan, Soviet far east, Tomsk, Yemen Arab Republic, Australasia & Oceania, Australia, New South Wales, Queensland, South Australia, Western Australia, Tasmania, Victoria, New Zealand, Europe, Austria, Belgium, Bulgaria, Cyprus, Czechoslovakia, Denmark, Finland, France, Corsica, Germany, Greece, Crete, Hungary, Irish Republic, Italy, Sardinina, Sicily, Malta, Netherlands, Norway, Poland, Portugal, Azores, Romania, Spain, Sweden, Switzerland, UK, Channel Islands, England, Yugoslavia, North America, Bermuda, Canada, Mexico, USA, Alaska, Central America & West Indies, Guatemala, South America, Argentina, Bolivia, Brazil, Minas Gerais, Parana, Rio Grande do Sul, Sao Paulo, Chile, Colombia, Ecuador, Peru, Uruguay, Venezuela.
30
« Frankliniella occidentalis. [Distribution map]. » Distribution Maps of Plant Pests, no 1st revision) (1 août 1999). http://dx.doi.org/10.1079/dmpp/20066600538.
Texte intégralRésumé :
Abstract A new distribution map is provided for Frankliniella occidentalis (Pergande) Thysanoptera: Thripidae Polyphagous. Information is given on the geographical distribution in EUROPE, Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Mainland France, Germany, Greece, Crete, Mainland Greece, Hungary, Ireland, Italy, Mainland Italy, Sardinia, Sicily, Latvia, Lithuania, Republic of Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Mainland Portugal, Romania, Russia, Central Russia, Southern Russia, Slovakia, Slovenia, Spain, Balearic Islands, Canary Islands, Mainland Spain, Sweden, Switzerland, UK, Channel Islands, England and Wales, Scotland, ASIA, Cyprus, Israel, Japan, Hokkaido, Honshu, Korea Republic, Kuwait, Malaysia, Peninsular Malaysia, Sri Lanka, Turkey, AFRICA, Kenya, Reunion, South Africa, Swaziland, Tunisia, Zimbabwe, NORTH AMERICA, Canada, British Columbia, Manitoba, Ontario, Mexico, USA, Alabama, Arizona, California, Colorado, Florida, Georgia, Hawaii, Idaho, Louisiana, Maine, Maryland, Minnesota, Mississippi, Missouri, New Jersey, New Mexico, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Texas, Utah, Virginia, Washington, West Virginia, CENTRAL AMERICA & CARIBBEAN, Costa Rica, Dominican Republic, Guatemala, Martinique, Puerto Rico, SOUTH AMERICA, Argentina, Brazil, Sao Paulo, Chile, Colombia, Ecuador, French Guiana, Guyana, Peru, Venezuela, OCEANIA, Australia, New South Wales, Queensland, South Australia, Tasmania, Victoria, Western Australia, New Zealand.
31
« Globodera rostochiensis. [Distribution map]. » Distribution Maps of Plant Diseases, No.October (1 août 2019). http://dx.doi.org/10.1079/dmpd/20193460900.
Texte intégralRésumé :
Abstract A new distribution map is provided for Globodera rostochiensis (Wollenweber) Skarbilovich. Secernentea: Tylenchida: Heteroderidae. Hosts: Solanaceae, especially potato (Solanum tuberosum), tomato (S. lycopersicum) and aubergine (S. melongena). Information is given on the geographical distribution in Europe (Albania, Austria, Belarus, Belgium, Bosnia-Hercegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Greece, Crete, Mainland Greece, Hungary, Iceland, Irish Republic, Italy, Mainland Italy, Sicily, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Azores, Madeira, Mainland Portugal, Romania, Russia, Central Russia, Eastern Russia, Far East, Northern Russia, Southern Russia, Western Siberia, Serbia, Slovakia, Slovenia, Spain, Balearic Islands, Canary Islands, Mainland Spain, Sweden, Switzerland, UK, Channel Islands, England and Wales, Northern Ireland, Scotland and Ukraine), Asia (Armenia, Republic of Georgia, India, Tamil Nadu, Indonesia, Java, Iran, Israel, Japan, Hokkaido, Kyushu, Lebanon, Oman, Pakistan, Philippines, Sri Lanka, Tajikistan and Turkey), Africa (Algeria, Egypt, Kenya, Libya, Morocco, Sierra Leone, South Africa and Tunisia), North America (Canada, British Columbia, Newfoundland, Quebec, Mexico, USA, New York), Central America and Caribbean (Costa Rica and Panama), South America (Argentina, Bolivia, Chile, Colombia, Ecuador, Peru and Venezuela) and Oceania (Australia, Victoria, Western Australia, New Zealand and Norfolk Island).
32
« Hylotrupes bajulus. [Distribution map]. » Distribution Maps of Plant Pests, No.June (1 juillet 2011). http://dx.doi.org/10.1079/dmpp/20113166051.
Texte intégralRésumé :
Abstract A new distribution map is provided for Hylotrupes bajulus Linnaeus. Coleoptera: Cerambycidae. Hosts: firs (Abies spp.), spruces (Picea spp.), pines (Pinus spp.), larches (Larix spp.) and Douglas fir (Pseudotsuga menziesii). Information is given on the geographical distribution in Europe (Albania, Austria, Belarus, Belgium, Bosnia-Hercegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, Aland Islands, Mainland Finland, France, Corsica, Mainland France, Germany, Greece, Crete, Mainland Greece, Hungary, Iceland, Ireland, Italy, Mainland Italy, Sardinia, Sicily, Latvia, Liechtenstein, Lithuania, Luxembourg, Macedonia, Malta, Moldova, Montenegro, Netherlands, Norway, Poland, Portugal, Azores, Madeira, Mainland Portugal, Romania, Russia, Central Russia, Northern Russia, Siberia, Southern Russia, Serbia, Slovakia, Slovenia, Spain, Balearic Islands, Canary Islands, Mainland Spain, Sweden, Switzerland, UK, Channel Islands, England, Wales and Ukraine), Asia (Armenia, Azerbaijan, China, Jiangsu, Republic of Georgia, Iran, Iraq, Israel, Lebanon, Syria and Turkey), Africa (Algeria, Cote d'Ivoire, Egypt, Libya, Madagascar, Morocco, South Africa, Tunisia and Zimbabwe), North America (USA, Alabama, Connecticut, Delaware, District of Columbia, Florida, Georgia, Illinois, Indiana, Louisiana, Maryland, Massachusetts, Minnesota, Missouri, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas and Virginia), South America (Argentina, Brazil, Rio Grande do Sul and Uruguay), Oceania (Australia, New South Wales, Queensland, Tasmania, Victoria and Western Australia).
33
« Spongospora subterranea. [Distribution map]. » Distribution Maps of Plant Diseases, No.April (1 août 2012). http://dx.doi.org/10.1079/dmpd/20123172042.
Texte intégralRésumé :
Abstract A new distribution map is provided for Spongospora subterranea (Wallr.) Lagerh. Cercozoa; Plasmodiophorales. Hosts: Potato (Solanum tuberosum) and tomato (S. lycopersicum). Information is given on the geographical distribution in Europe (Austria; Belarus; Belgium; Bosnia-Herzegovina; Bulgaria; Croatia; Cyprus; Czech Republic; Denmark; Faroe Islands; Finland; Germany; Greece; Ireland; Sicily, Italy; Latvia; Malta; Netherlands; Norway; Poland; Portugal; Romania; Northern Russia; Sweden; Switzerland; Channel Islands, England and Wales, Isle of Man and Scotland, UK), Asia (Armenia; Azerbaijan; Fujian, Gansu, Guangdong, Guangxi, Guizhou, Jiangxi, Jilin, Nei Menggu, Yunnan and Zhejiang, China; Georgia; Himachal Pradesh and Maharashtra, India; Indonesia; Israel; Hokkaido, Japan; Korea Republic; Kyrgyzstan; Lebanon; Nepal; Pakistan; Philippines; Sri Lanka; Taiwan; and Turkey), Africa (Algeria, Burundi, Egypt, Kenya, Madagascar, Mauritius, Morocco, Mozambique, Rwanda, South Africa, Tanzania, Tunisia, Zambia and Zimbabwe), North America (Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland, Nova Scotia, Ontario, Prince Edward Island, Quebec and Saskatchewan, Canada; Mexico; Alabama, Alaska, California, Colorado, Connecticut, Florida, Hawaii, Idaho, Maine, Massachusetts, Minnesota, Mississippi, Montana, New Hampshire, New Jersey, New York, North Dakota, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Vermont, Washington and Wyoming, USA), Central America and Caribbean (Costa Rica, Cuba and Panama), South America (Argentina; Bolivia; Goias, Minas Gerais, Parana, Rio Grande do Sul, Santa Catarina and Sãa Paulo, Brazil; Chile; Colombia; Ecuador; Falkland Islands; Peru; Uruguay; and Venezuela) and Oceania (New South Wales, Queensland, South Australia, Tasmania, Western Australia and Victoria, Australia; New Zealand; and Papua New Guinea).
34
« Colletotrichum coccodes. [Distribution map]. » Distribution Maps of Plant Diseases, No.October (1 août 2011). http://dx.doi.org/10.1079/dmpd/20113314308.
Texte intégralRésumé :
Abstract A new distribution map is provided for Colletotrichum coccodes (Wallr.) S. Hughes. Ascomycota: Glomerellaceae. Hosts: potato (Solanum tuberosum), tomato (Solanum lycopersicum), persimmon (Diospyros kaki), okra (Abelmoschus esculentus) and carnation (Dianthus caryophyllus). Information is given on the geographical distribution in Europe (Austria, Belarus, Belgium, Bosnia-Hercegovina, Bulgaria, Croatia, Cyprus, Czechoslovakia (former), Denmark, Estonia, France (Mainland France), Germany, Greece (Crete, Mainland Greece), Hungary, Ireland, Italy (Mainland Italy, Sicily), Lithuania, Malta, Netherlands, Poland, Portugal (Azores), Romania, Russia (Central Russia, Southern Russia), Serbia, Spain, Sweden, Switzerland, UK (Channel Islands, England and Wales, Scotland)), Asia (Afghanistan, Brunei Darussalam, China (Hong Kong), India (Bihar, Himachal Pradesh, Uttar Pradesh), Indonesia (Java), Iran, Israel, Japan, Jordan, Korea Republic, Lebanon, Malaysia (Peninsular Malaysia, Sabah), Myanmar, Nepal, Pakistan, Sri Lanka, Syria, Turkey, Vietnam), Africa (Ethiopia, Kenya, Malawi, Morocco, Nigeria, South Africa, Sudan, Tanzania, Uganda, Zimbabwe), North America (Canada (Alberta, British Columbia, Manitoba, New Brunswick, Nova Scotia, Ontario, Prince Edward Island, Quebec, Saskatchewan), Mexico, USA (California, Colorado, Florida, Idaho, Illinois, Indiana, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Montana, Nebraska, Nevada, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming)), Central America & Caribbean (Barbados, Bermuda, Jamaica, Puerto Rico, United States Virgin Islands), South America (Argentina, Brazil (Rio Grande do Sul), Chile, Guyana, Peru, Venezuela), Oceania (American Samoa, Australia (New South Wales, Queensland, South Australia, Tasmania, Victoria, Western Australia), Federated States of Micronesia, New Caledonia, New Zealand).
35
Civile, Dario, Giuliano Brancolini, Emanuele Lodolo, Edy Forlin, Flavio Accaino, Massimo Zecchin et Giuseppe Brancatelli. « Morphostructural Setting and Tectonic Evolution of the Central Part of the Sicilian Channel (Central Mediterranean) ». Lithosphere 2021, no 1 (2 février 2021). http://dx.doi.org/10.2113/2021/7866771.
Texte intégralRésumé :
Abstract The Plio-Quaternary tectonic evolution of the central sector of the Sicilian Channel and the resulting morphostructural setting have been analyzed using a large geophysical dataset consisting of multichannel seismic profiles, which some of them never published, and available bathymetric data. This area hosts two regional-scale tectonic domains that registered the complex pattern of deformation occurred since the Early Pliocene: (1) the Sicilian Channel Rift Zone (SCRZ), which can be divided into a western sector formed by the Pantelleria graben (PG) and in a eastern one represented by the Linosa and Malta grabens (LG and MG) and (2) the Capo Granitola-Sciacca Fault Zone (CGSFZ), a NNE-oriented lithospheric transfer zone that crosses the Sicilian Channel from the Sicily coast to the Linosa Island, of which only its northern part has been studied to date. Data interpretation has allowed achieving the following outcomes: (i) the presence of an alternation of basins and structural highs forming a NNE-oriented separation belt between the western and eastern sectors of the SCRZ, and interpreted as the shallow expression of the southern part of the CGSFZ; (ii) a NE-oriented tectonic lineament separating the MG in a northern and southern part, and interpreted as the southern prosecution of the Scicli-Ragusa Fault System; (iii) the presence of syn-rift deposits in the Plio-Quaternary fill of the grabens, suggesting that the opening of the grabens of the SCRZ was coeval, and started since Early Pliocene in the framework of a NW-oriented right-lateral transtensional mega-shear zone; (iv) continental rifting ended around the Early Calabrian, during which extensional tectonics dominated along the separation belt; (v) the CGSFZ conditioned the SCRZ configuration at a regional scale, leading to the development of the PG in the western sector and of the LG and MG in the eastern one; and (vi) after the Early Calabrian, the PG and the southern MG followed a different tectonic evolution with respect to the LG and northern MG. The syn-rift deposits of the PG and southern MG were sealed by an undeformed post-rift succession, while the LG and the northern MG suffered a basin inversion that ended around the Latest Calabrian time. During this stage, the separation belt was affected by a transpressional tectonics. At present, the grabens of the Sicilian Channel seem to be tectonically inactive, while the CGSFZ represents an active tectonic domain.
36
« Tomato spotted wilt tospovirus. [Distribution map]. » Distribution Maps of Plant Diseases, no 6) (1 juillet 1999). http://dx.doi.org/10.1079/dmpd/20066500008.
Texte intégralRésumé :
Abstract A new distribution map is provided for Tomato spotted wilt tospovirus Viruses: Bunyaviridae: Tospovirus Hosts: Occurs naturally on a very wide range of herbaceous horticultural and field crops. Information is given on the geographical distribution in EUROPE, Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Finland, France, Mainland France, Germany, Greece, Crete, Mainland Greece, Hungary, Ireland, Italy, Mainland Italy, Sicily, Lithuania, Malta, Moldova, Netherlands, Norway, Poland, Portugal, Mainland Portugal, Romania, Russian Far East, Southern Russia, Slovakia, Spain, Canary Islands, Mainland Spain, Sweden, Switzerland, UK, Channel Islands, England and Wales, Scotland, Ukraine, Yugoslavia (Fed. Rep), ASIA, Afghanistan, Armenia, Azerbaijan, China, Sichuan, Cyprus, Republic of Georgia, India, Andhra Pradesh, Haryana, Himachal Pradesh, Karnataka, Madhya Pradesh, Maharashtra, Tamil Nadu, Uttar Pradesh, Iran, Israel, Japan, Hokkaido, Honshu, Ryukyu Archipelago, Malaysia, Peninsular Malaysia, Nepal, Oman, Pakistan, Saudi Arabia, Sri Lanka, Taiwan, Thailand, Turkey, Uzbekistan, AFRICA, Algeria, Burkina Faso, Congo Democratic Republic, Cote d'Ivoire, Egypt, Libya, Madagascar, Mauritius, Niger, Nigeria, Reunion, Senegal, South Africa, Sudan, Tanzania, Uganda, Zimbabwe, NORTH AMERICA, Canada, Alberta, British Columbia, Manitoba, Nova Scotia, Ontario, Quebec, Saskatchewan, Mexico, USA, Alabama, Arkansas, California, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Wisconsin, Wyoming, CENTRAL AMERICA & CARIBBEAN, Costa Rica, Haiti, Jamaica, Martinique, Puerto Rico, SOUTH AMERICA, Argentina, Bolivia, Brazil, Goias, Minas Gerais, Parana, Sao Paulo, Chile, Colombia, Guyana, Paraguay, Suriname, Uruguay, Venezuela, OCEANIA, Australia, New South Wales, Northern Territory, Queensland, South Australia, Tasmania, Victoria, Western Australia, Cook Islands, New Zealand, Papua New Guinea.
37
« Tomato spotted wilt orthotospovirus. [Distribution map]. » Distribution Maps of Plant Diseases, No.October (1 août 2018). http://dx.doi.org/10.1079/dmpd/20183337989.
Texte intégralRésumé :
Abstract A new distribution map is provided for Tomato spotted wilt orthotospovirus. Bunyavirales: Tospoviridae: Orthotospovirus. Hosts: very wide host range including many horticultural and field crops. Information is given on the geographical distribution in Europe (Albania, Austria, Belgium, Bosnia-Hercegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Finland, France, Germany, Greece, Crete, Hungary, Irish Republic, Italy, Sardinia, Sicily, Lithuania, Macedonia, Malta, Moldova, Montenegro, Netherlands, Norway, Poland, Portugal, Madeira, mainland Portugal, Romania, Russia, Southern Russia, Serbia, Slovenia, Spain, Balearic Islands, Canary Islands, mainland Spain, Sweden, Switzerland, UK, Channel Islands and Ukraine), Asia (Afghanistan, Armenia, Azerbaijan, Bangladesh, China, Guizhou, Hebei, Shandong, Sichuan, Xinjiang, Yunnan, Republic of Georgia, India, Andhra Pradesh, Assam, Haryana, Himachal Pradesh, Karnataka, Madhya Pradesh, Maharashtra, Odisha, Rajasthan, Tamil Nadu, Uttar Pradesh, Indonesia, Java, Iran, Israel, Japan, Kyushu, Jordan, Korea Republic, Lebanon, Malaysia, Nepal, Oman, Pakistan, Saudi Arabia, Sri Lanka, Syria, Taiwan, Thailand and Turkey), Africa (Algeria, Burkina Faso, Congo Democratic Republic, Egypt, Kenya, Libya, Madagascar, Mauritius, Niger, Nigeria, Reunion, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda and Zimbabwe), North America (Canada, Alberta, British Columbia, Manitoba, Nova Scotia, Ontario, Quebec, Mexico, USA, Alabama, Arkansas, California, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Misissippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Wisconsin and Wyoming), Central America and Caribbean (Costa Rica, Dominican Republic, Guatemala, Haiti, Jamaica, Puerto Rico), South America (Argentina, Bolivia, Brazil, Bahia, Goias, Minas Gerais, Pernambuco, Sao Paulo, Chile, Colombia, Ecuador, Guyana, Paraguay, Suriname, Uruguay and Venezuela) and Oceania (Australia, New South Wales, Northern Territory, Queensland, South Australia, Tasmania, Victoria, Western Australia, Cook Islands, New Zealand and Papua New Guinea).
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« Agrius convolvuli. [Distribution map]. » Distribution Maps of Plant Pests, No.June (1 juillet 2012). http://dx.doi.org/10.1079/dmpp/20123252645.
Texte intégralRésumé :
Abstract A new distribution map is provided for Agrius convolvuli (Linnaeus). Lepidoptera: Sphingidae. Hosts: groundnut (Arachis hypogaea), sweet potato (Ipomoea batatas), Ipomoea spp., field bindweed (Convolvulus arvensis), Indian bean (Lablab purpureus), Vigna spp., and Phaseolus spp. Information is given on the geographical distribution in Europe (Albania, Andorra, Austria, Belarus, Belgium, Bosnia-Hercegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, France (Corsica), Germany, Gibraltar, Greece (Crete), Hungary, Iceland, Ireland, Italy (Sardinia, Sicily), Latvia, Liechtenstein, Lithuania, Luxembourg, Macedonia, Malta, Moldova, Monaco, Netherlands, Norway, Poland, Portugal (Azores, Madeira), Romania, Russia (Siberia), San Marino, Slovakia, Slovenia, Spain (Balearic Islands, Canary Islands), Sweden, Switzerland, UK (Channel Islands, Northern Ireland), Ukraine), Asia (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China (Anhui, Fujian, Gansu, Guangdong, Guangxi, Guizhou, Hainan, Hebei, Heilongjiang, Henan, Hong Kong, Hubei, Hunan, Jiangsu, Jiangxi, Jilin, Liaoning, Nei Menggu, Ningxia, Qinghai, Shaanxi, Shandong, Shanxi, Sichuan, Xinjiang, Xizhang, Yunnan, Zhejiang), Cocos Islands, India (Andaman and Nicobar Islands, Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Chandigarh, Dadra and Nagar Haveli, Daman, Delhi, Diu, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Karnataka, Kerala, Lakshadweep, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram, Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal), Indonesia (Irian Jaya, Java, Kalimantan, Maluku, Sulawesi, Sumatra), Iran, Iraq, Israel, Japan (Hokkaido, Honshu, Kyushu, Ryukyu Archipelago), Kazakhstan, Korea Democratic People's Republic, Korea Republic, Laos, Malaysia (Peninsular Malaysia, Sabah, Sarawak), Myanmar, Oman, Pakistan, Philippines, Saudi Arabia, Singapore, Sri Lanka, Syria, Taiwan, Thailand, Turkey, Vietnam, Yemen), Africa (Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Comoros, Congo, Congo Democratic Republic, Cote d'Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Reunion, Rwanda, Sao Tome & Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, St. Helena, Sudan, Swaziland, Tanzania, Togo, Tunisia, Uganda, Zambia, Zimbabwe), Oceania (American Samoa, Australia (New South Wales, Northern Territory, Queensland, South Australia, Tasmania, Victoria, Western Australia), Cook Islands, Federated States of Micronesia, Fiji, French Polynesia, Guam, Kiribati, Marshall Islands, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, Vanuatu).
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Scannella, Danilo, Gioacchino Bono, Manfredi Di Lorenzo, Federico Di Maio, Fabio Falsone, Vita Gancitano, Germana Garofalo et al. « How does climate change affect a fishable resource ? The case of the royal sea cucumber (Parastichopus regalis) in the central Mediterranean Sea ». Frontiers in Marine Science 9 (21 septembre 2022). http://dx.doi.org/10.3389/fmars.2022.934556.
Texte intégralRésumé :
Holothurians or sea cucumbers are key organisms in marine ecosystems that, by ingesting large quantities of sediments, provide important ecosystem services. Among them, Parastichopus regalis (Cuvier, 1817) is one of the living sea cucumbers in the Mediterranean actively fished for human consumption mainly in Spain, where it is considered a gastronomic delicacy. In the Strait of Sicily (central Mediterranean Sea), this species is not exploited for commercial use even if it is used as bait by longline fishery. P. regalis is frequently caught by bottom trawling and discarded at sea by fishers after catch, and because of its capacity to resist air exposition (at least in cold months), it is reasonable to consider that it is not affected by fishing mortality. Having observed a significant decrease in abundance since 2018, the possible effects of some ecological factors related to current climate change (i.e., temperature and pH) were sought. Generalized additive models (GAMs) were applied to investigate the relationship among the abundance of P. regalis and environmental variables and fishing effort. Long time series of P. regalis densities (2008–2021) were extracted from the MEDITS bottom trawling survey and modeled as function of environmental parameters (i.e., salinity, dissolved oxygen, ammonium, pH, and chlorophyll α) and fishing effort (i.e., total number of fishing days per gross tonnage). Our results showed that this species prefers the soft bottoms (50–200 m) of the Adventure Bank and Malta Plateau, and its distribution changed over time with a slight deepening and a rarefaction of spatial distribution starting from 2011 and 2017, respectively. In addition, a positive relationship with pH concentration in surface waters during the larval dispersal phase (3-year lag before the survey) and nutrient concentration at sea bottom (1-year lag) has been found, suggesting that this species is sensitive to climate change and food availability. This study adds new knowledge about the population dynamics of an unexploited stock of P. regalis under fishing impact and environmental under climate change in fisheries management.