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      Measuring the global impact of destructive and illegal fishing on maritime piracy: A spatial analysis

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      PLoS ONE
      Public Library of Science

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          Abstract

          Maritime piracy constitutes a major threat to global shipping and international trade. We argue that fishers turn to piracy to smooth expected income losses and to deter illegal foreign fishing fleets. Previous investigations have generally focused on cross-national determinants of the incidence of piracy in territorial waters. These investigations neglect piracy in international waters and ignore its spatial dependence, whereby pirate attacks cluster in certain locations due to neighborhood and spillover effects. We conduct a geographically disaggregated analysis using geo-referenced data of piracy and its covariates between 2005 and 2014. We demonstrate that the incidence of piracy in a particular location is associated with higher catch volumes from high-bycatch and habitat-destroying fishing, even when controlling for conditions in proximate coastal areas. We find, additionally, that illegal, unreported, and unregulated fishing exerts an especially pronounced effect on piracy. These findings highlight the need for anti-piracy solutions beyond enforcement to include the policing of fishing practices that are illegal or are perceived by local fishers in vulnerable coastal areas to be harmful to small-scale fishing economies.

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          Photosynthetic rates derived from satellite-based chlorophyll concentration

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            A global map of human impact on marine ecosystems.

            The management and conservation of the world's oceans require synthesis of spatial data on the distribution and intensity of human activities and the overlap of their impacts on marine ecosystems. We developed an ecosystem-specific, multiscale spatial model to synthesize 17 global data sets of anthropogenic drivers of ecological change for 20 marine ecosystems. Our analysis indicates that no area is unaffected by human influence and that a large fraction (41%) is strongly affected by multiple drivers. However, large areas of relatively little human impact remain, particularly near the poles. The analytical process and resulting maps provide flexible tools for regional and global efforts to allocate conservation resources; to implement ecosystem-based management; and to inform marine spatial planning, education, and basic research.
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              Coastal ecosystem-based management with nonlinear ecological functions and values.

              A common assumption is that ecosystem services respond linearly to changes in habitat size. This assumption leads frequently to an "all or none" choice of either preserving coastal habitats or converting them to human use. However, our survey of wave attenuation data from field studies of mangroves, salt marshes, seagrass beds, nearshore coral reefs, and sand dunes reveals that these relationships are rarely linear. By incorporating nonlinear wave attenuation in estimating coastal protection values of mangroves in Thailand, we show that the optimal land use option may instead be the integration of development and conservation consistent with ecosystem-based management goals. This result suggests that reconciling competing demands on coastal habitats should not always result in stark preservation-versus-conversion choices.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2021
                24 February 2021
                : 16
                : 2
                : e0246835
                Affiliations
                [1 ] Edmund A. Walsh School of Foreign Service, Georgetown University, Washington, District of Columbia, United States of America
                [2 ] Department of Government, Georgetown University, Washington, District of Columbia, United States of America
                [3 ] The Brookings Institution, Washington, District of Columbia, United States of America
                Swedish University of Agricultural Sciences and Swedish Institute for the Marine Environment, University of Gothenburg, SWEDEN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-1202-1680
                https://orcid.org/0000-0003-3607-5082
                Article
                PONE-D-20-21983
                10.1371/journal.pone.0246835
                7904167
                33626091
                3503ac74-bbee-4f08-b888-7b96892a3959
                © 2021 Desai, Shambaugh

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 July 2020
                : 27 January 2021
                Page count
                Figures: 4, Tables: 1, Pages: 17
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Fish
                Marine Fish
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Fish
                Marine Fish
                Biology and Life Sciences
                Marine Biology
                Marine Fish
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Fish
                Biology and Life Sciences
                Agriculture
                Aquaculture
                Fisheries
                Earth Sciences
                Marine and Aquatic Sciences
                Bodies of Water
                Oceans
                Ecology and Environmental Sciences
                Environmental Economics
                Social Sciences
                Economics
                Environmental Economics
                Computer and Information Sciences
                Geoinformatics
                Spatial Autocorrelation
                Earth Sciences
                Geography
                Geoinformatics
                Spatial Autocorrelation
                Biology and Life Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Social Sciences
                Economics
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Density
                Custom metadata
                All replication data are available from the Harvard Dataverse Repository, https://doi.org/10.7910/DVN/O7CHJU.

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