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      Nonrandom spatial distribution of Neotropic Cormorants ( Phalacrocorax brasilianus) along a coastal highway in Lima, Peru

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          Abstract

          Neotropic Cormorants ( Phalacrocorax brasilianus) are common seabirds along the Peruvian coast. They frequently perch on trees, poles and port structures in urban areas, producing guano that builds up in areas of high levels of human activity. Hundreds of Neotropic Cormorants rest on lighting poles and telephone cables along a 12.7 km highway in the coastal strip of the city of Lima, Peru. We hypothesized that the distribution of the cormorants along this highway is clustered and could be associated with physical features of both the coast and the adjacent marine area. Fortnightly or monthly surveys were performed from July 2018 to March 2020 in the Circuito de Playas de la Costa Verde highway. At each survey, cormorants were counted per lighting pole and adjacent telephone cables (collectively, “pole-cable”) at four count hours (0600 h, 1000 h, 1400 h and 1800 h). Our results revealed that daily bird numbers varied from 46 to 457 individuals and that only 17% of the total number of pole-cables (N = 651) was occupied once by at least one individual. The number of cormorants also varied between count hours within the same day (higher numbers at 1000 h and 1400 h). Birds were clustered into a maximum of five hotspots along the highway. According to a model selection criterion, higher numbers of cormorants on pole-cables were associated mainly to a closer distance from these structures to the shoreline and to the surf zone, suggesting that Neotropic Cormorants may select such pole-cables as optimal sites for sighting and receiving cues of prey availability. Based on the results, the use of nonlethal deterrents and the relocation of these birds to other perching structures on nearby groynes could be the most suitable management proposal for the problems caused by their feces.

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          glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling

          Count data can be analyzed using generalized linear mixed models when observations are correlated in ways that require random effects. However, count data are often zero-inflated, containing more zeros than would be expected from the typical error distributions. We present a new package, glmmTMB, and compare it to other R packages that fit zero-inflated mixed models. The glmmTMB package fits many types of GLMMs and extensions, including models with continuously distributed responses, but here we focus on count responses. glmmTMB is faster than glmmADMB, MCMCglmm, and brms, and more flexible than INLA and mgcv for zero-inflated modeling. One unique feature of glmmTMB (among packages that fit zero-inflated mixed models) is its ability to estimate the Conway-Maxwell-Poisson distribution parameterized by the mean. Overall, its most appealing features for new users may be the combination of speed, flexibility, and its interface’s similarity to lme4. The R journal, 9 (2) ISSN:2073-4859
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            Seabird conservation status, threats and priority actions: a global assessment

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              Threats to seabirds: A global assessment

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: 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
                1 March 2021
                2021
                : 16
                : 3
                : e0242835
                Affiliations
                [1 ] Unidad de Investigación de Ecosistemas Marinos—Grupo Aves Marinas, Universidad Científica del Sur, Lima, Perú
                [2 ] Facultad de Ciencias Ambientales, Universidad Científica del Sur, Lima, Perú
                MARE – Marine and Environmental Sciences Centre, PORTUGAL
                Author notes

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

                Author information
                https://orcid.org/0000-0002-4899-5997
                https://orcid.org/0000-0003-1712-7334
                Article
                PONE-D-20-34870
                10.1371/journal.pone.0242835
                7920354
                33647058
                53e49840-5871-4d46-880a-d696a590872b
                © 2021 Lozano-Sanllehi, Zavalaga

                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
                : 5 November 2020
                : 15 February 2021
                Page count
                Figures: 6, Tables: 4, Pages: 21
                Funding
                Funded by: Universidad Científica del Sur
                Award ID: Concurso de Fondos para Proyectos de Tesis 2018-1
                Award Recipient :
                SLS received the grant "Concurso de Fondos para Proyectos de Tesis 2018-1" from Universidad Científica del Sur ( https://www.cientifica.edu.pe/investigacion/concursos-fondos-internos). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Birds
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Birds
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Shores
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Birds
                Seabirds
                Gulls
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Birds
                Seabirds
                Gulls
                Ecology and Environmental Sciences
                Aquatic Environments
                Marine Environments
                Sea Water
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Marine Environments
                Sea Water
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Birds
                Seabirds
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Birds
                Seabirds
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Roads
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Roads
                Biology and Life Sciences
                Agriculture
                Aquaculture
                Fisheries
                Fish Farming
                Engineering and Technology
                Civil Engineering
                Urban Infrastructure
                Custom metadata
                The dataset used in this study is available from the Figshare repository ( https://doi.org/10.6084/m9.figshare.13892975.v1).

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