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      Tracking the global reduction of marine traffic during the COVID-19 pandemic

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          Abstract

          The COVID-19 pandemic has resulted in unparalleled global impacts on human mobility. In the ocean, ship-based activities are thought to have been impacted due to severe restrictions on human movements and changes in consumption. Here, we quantify and map global change in marine traffic during the first half of 2020. There were decreases in 70.2% of Exclusive Economic Zones but changes varied spatially and temporally in alignment with confinement measures. Global declines peaked in April, with a reduction in traffic occupancy of 1.4% and decreases found across 54.8% of the sampling units. Passenger vessels presented more marked and longer lasting decreases. A regional assessment in the Western Mediterranean Sea gave further insights regarding the pace of recovery and long-term changes. Our approach provides guidance for large-scale monitoring of the progress and potential effects of COVID-19 on vessel traffic that may subsequently influence the blue economy and ocean health.

          Abstract

          The COVID-19 response has led to unparalleled changes in the functioning of human society, from travel restrictions to changes in consumption. Here the authors use high resolution satellite data to track the global reduction in marine traffic during the pandemic, and more recent hints of recovery to pre-lockdown levels.

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          Indirect effects of COVID-19 on the environment

          This research aims to show the positive and negative indirect effects of COVID-19 on the environment, particularly in the most affected countries such as China, USA, Italy, and Spain. Our research shows that there is a significant association between contingency measures and improvement in air quality, clean beaches and environmental noise reduction. On the other hand, there are also negative secondary aspects such as the reduction in recycling and the increase in waste, further endangering the contamination of physical spaces (water and land), in addition to air. Global economic activity is expected to return in the coming months in most countries (even if slowly), so decreasing GHG concentrations during a short period is not a sustainable way to clean up our environment.
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            A brief introduction to mixed effects modelling and multi-model inference in ecology

            The use of linear mixed effects models (LMMs) is increasingly common in the analysis of biological data. Whilst LMMs offer a flexible approach to modelling a broad range of data types, ecological data are often complex and require complex model structures, and the fitting and interpretation of such models is not always straightforward. The ability to achieve robust biological inference requires that practitioners know how and when to apply these tools. Here, we provide a general overview of current methods for the application of LMMs to biological data, and highlight the typical pitfalls that can be encountered in the statistical modelling process. We tackle several issues regarding methods of model selection, with particular reference to the use of information theory and multi-model inference in ecology. We offer practical solutions and direct the reader to key references that provide further technical detail for those seeking a deeper understanding. This overview should serve as a widely accessible code of best practice for applying LMMs to complex biological problems and model structures, and in doing so improve the robustness of conclusions drawn from studies investigating ecological and evolutionary questions.
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              Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis

              We describe the challenges and opportunities of analyzing links between exposure to air pollution and vulnerability to COVID-19.
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                Author and article information

                Contributors
                D.March@exeter.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                27 April 2021
                27 April 2021
                2021
                : 12
                : 2415
                Affiliations
                [1 ]GRID grid.8391.3, ISNI 0000 0004 1936 8024, Centre for Ecology and Conservation, College of Life and Environmental Sciences, , University of Exeter, ; Penryn, UK
                [2 ]GRID grid.440508.d, ICTS SOCIB – Balearic Islands Coastal Observing and Forecasting System, ; Palma de Mallorca, Spain
                [3 ]GRID grid.466857.e, ISNI 0000 0000 8518 7126, IMEDEA (CSIC-UIB), Mediterranean Institute of Advanced Studies, ; Esporles, Spain
                [4 ]GRID grid.8391.3, ISNI 0000 0004 1936 8024, Present Address: Centre for Ecology and Conservation, College of Life and Environmental Sciences, , University of Exeter, ; Penryn, UK
                Author information
                http://orcid.org/0000-0002-6118-761X
                http://orcid.org/0000-0002-7662-5379
                http://orcid.org/0000-0002-6311-0093
                Article
                22423
                10.1038/s41467-021-22423-6
                8079689
                33907197
                ea5029ea-ee91-409a-83ac-8a408669ddc7
                © The Author(s) 2021

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 July 2020
                : 15 March 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010665, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions);
                Award ID: 794938
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100012107, Waterloo Foundation (TWF);
                Funded by: FundRef https://doi.org/10.13039/501100000277, Department for Environment, Food and Rural Affairs (Defra);
                Award ID: Darwin Initiative (Project 26-014)
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                environmental impact,sustainability,marine biology,geography
                Uncategorized
                environmental impact, sustainability, marine biology, geography

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