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      Seascape connectivity of European anchovy in the Central Mediterranean Sea revealed by weighted Lagrangian backtracking and bio-energetic modelling

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          Abstract

          Ecological connectivity is one of the most important processes that shape marine populations and ecosystems, determining their distribution, persistence, and productivity. Here we use the synergy of Lagrangian back-trajectories, otolith-derived ages of larvae, and satellite-based chlorophyll-a to identify spawning areas of European anchovy from ichthyoplanktonic data, collected in the Strait of Sicily (Central Mediterranean Sea), i.e., the crucial channel in between the European and African continents. We obtain new evidence of ecosystem connectivity between North Africa and recruitment regions off the southern European coasts. We assess this result by using bio-energetic modeling, which predicts species-specific responses to environmental changes by producing quantitative information on functional traits. Our work gives support to a collaborative and harmonized use of Geographical Sub-Areas, currently identified by the General Fisheries Commission for the Mediterranean. It also confirms the need to incorporate climate and environmental variability effects into future marine resources management plans, strategies, and directives.

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          Some Characteristics of Simple Types of Predation and Parasitism

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            Climate change affects marine fishes through the oxygen limitation of thermal tolerance.

            A cause-and-effect understanding of climate influences on ecosystems requires evaluation of thermal limits of member species and of their ability to cope with changing temperatures. Laboratory data available for marine fish and invertebrates from various climatic regions led to the hypothesis that, as a unifying principle, a mismatch between the demand for oxygen and the capacity of oxygen supply to tissues is the first mechanism to restrict whole-animal tolerance to thermal extremes. We show in the eelpout, Zoarces viviparus, a bioindicator fish species for environmental monitoring from North and Baltic Seas (Helcom), that thermally limited oxygen delivery closely matches environmental temperatures beyond which growth performance and abundance decrease. Decrements in aerobic performance in warming seas will thus be the first process to cause extinction or relocation to cooler waters.
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              Pelagic protected areas: the missing dimension in ocean conservation.

              Fewer protected areas exist in the pelagic ocean than any other ecosystem on Earth. Although there is increasing support for marine protected areas (MPAs) as a tool for pelagic conservation, there have also been numerous criticisms of the ecological, logistical and economic feasibility of place-based management in the dynamic pelagic environment. Here we argue that recent advances across conservation, oceanography and fisheries science provide the evidence, tools and information to address these criticisms and confirm MPAs as defensible and feasible instruments for pelagic conservation. Debate over the efficacy of protected areas relative to other conservation measures cannot be resolved without further implementation of MPAs in the pelagic ocean.
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                Author and article information

                Contributors
                federico.falcini@cnr.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 October 2020
                29 October 2020
                2020
                : 10
                : 18630
                Affiliations
                [1 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Istituto di Scienze Marine, , Consiglio Nazionale delle Ricerche, ; Via Fosso del Cavaliere 100, 00133 Rome, Italy
                [2 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, , Consiglio Nazionale delle Ricerche, ; Via del mare 3, 91021 Torretta-Granitola, Campobello di Mazara (TP), Italy
                [3 ]GRID grid.10776.37, ISNI 0000 0004 1762 5517, Dipartimento di Scienze della Terra e del Mare (DiSTeM), , Università degli Studi di Palermo, ; Viale delle Scienze Ed. 16, 90128 Palermo, Italy
                [4 ]GRID grid.6401.3, ISNI 0000 0004 1758 0806, Dipartimento Ecologia Marina Integrata, , Stazione zoologica Anton Dohrn, ; Lungomare Cristoforo Colombo (complesso Roosevelt), 90142 Palermo, Italy
                [5 ]GRID grid.434873.f, ISNI 0000 0001 2191 7692, Institut National des Sciences et Technologies de la Mer, ; BP 138, 5199 Mahdia, Tunisia
                [6 ]Liceo Scientifico Statale “C. De Giorgi”, viale De Pietro 14, 73100 Lecce, Italy
                [7 ]GRID grid.434873.f, ISNI 0000 0001 2191 7692, Institut National des Sciences et Technologies de la Mer, ; BP 1035, 3018 Sfax, Tunisia
                [8 ]GRID grid.434873.f, ISNI 0000 0001 2191 7692, Institut National des Sciences et Technologies de la Mer, ; 2025 Salambô, Tunisia
                [9 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Istituto di Studi sul Mediterraneo, , Consiglio Nazionale delle Ricerche, ; Via Filippo Parlatore 65, 90145 Palermo, Italy
                [10 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, , Consiglio Nazionale delle Ricerche, ; Lungomare Cristoforo Colombo 4521, 90149 Palermo, PA Italy
                [11 ]GRID grid.158820.6, ISNI 0000 0004 1757 2611, Center of Excellence for Telesensing of Environment and Model Prediction of Severe events (CETEMPS), , Università dell’Aquila, ; via Vetoio snc (Fraz. Coppito), 67100 L’Aquila, Italy
                Article
                75680
                10.1038/s41598-020-75680-8
                7596485
                33122692
                da90e8d7-896a-40d7-ac42-0bead487c33e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 March 2020
                : 7 October 2020
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                © The Author(s) 2020

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                fisheries,physical oceanography
                Uncategorized
                fisheries, physical oceanography

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