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      Not by the light of the moon: Investigating circadian rhythms and environmental predictors of calling in Bornean great argus

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          Abstract

          Great argus pheasants are known for their elaborate visual mating displays, but relatively little is known about their general ecology. The use of passive acoustic monitoring—which relies on long-term autonomous recorders—can provide insight into the behavior of visually cryptic, yet vocal species such as the great argus. Here we report the results of an analysis of vocal behavior of the Bornean great argus ( Argusianus argus grayi) in Sabah, Malaysia, using data collected with 11 autonomous recording units. Great argus regularly emitted two call types, the long call and the short call, and we found that although both call types were emitted throughout the day, the short calls were more likely to occur during the morning hours (06:00–12:00LT). Great argus were less likely to call if there was rain, irrespective of the time of day. A substantial portion of calls at our site (~20%) were emitted between the hours of 18:00–06:00LT. We found that for nighttime calls, calling activity increased during new moon periods and decreased during periods of rain. We attribute the negative influence of rain on calling to increased energetic costs of thermoregulation during wet periods, and propose that the influence of the lunar cycle may be related to increased predation risk during periods with high levels of moonlight. Little is known about the behavioral ecology of great argus on Borneo, so it is difficult to know if the results we report are typical, or if we would see differences in calling activity patterns depending on breeding season or changes in food availability. We advocate for future studies of great argus pheasant populations using paired camera and acoustic recorders, which can provide further insight into the behavior of this cryptic species.

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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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            Artificial night lighting affects dawn song, extra-pair siring success, and lay date in songbirds.

            Associated with a continued global increase in urbanization, anthropogenic light pollution is an important problem. However, our understanding of the ecological consequences of light pollution is limited. We investigated effects of artificial night lighting on dawn song in five common forest-breeding songbirds. In four species, males near street lights started singing significantly earlier at dawn than males elsewhere in the forest, and this effect was stronger in naturally earlier-singing species. We compared reproductive behavior of blue tits breeding in edge territories with and without street lights to that of blue tits breeding in central territories over a 7 year period. Under the influence of street lights, females started egg laying on average 1.5 days earlier. Males occupying edge territories with street lights were twice as successful in obtaining extra-pair mates than their close neighbors or than males occupying central forest territories. Artificial night lighting affected both age classes but had a stronger effect on yearling males. Our findings indicate that light pollution has substantial effects on the timing of reproductive behavior and on individual mating patterns. It may have important evolutionary consequences by changing the information embedded in previously reliable quality-indicator traits. Copyright © 2010 Elsevier Ltd. All rights reserved.
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              Sound transmission and its significance for animal vocalization

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: 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
                16 February 2021
                2021
                : 16
                : 2
                : e0246564
                Affiliations
                [1 ] Center for Conservation Bioacoustics, Cornell Laboratory of Ornithology, Cornell University, Ithaca, NY, United States of America
                [2 ] School of Physics and Astronomy, University of St. Andrews, Scotland, United Kingdom
                [3 ] Faculty of Sustainable Agriculture, University Malaysia Sabah, Sabah, Malaysia
                University of Windsor, CANADA
                Author notes

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

                Author information
                https://orcid.org/0000-0003-0363-5581
                https://orcid.org/0000-0003-1078-7268
                Article
                PONE-D-20-28926
                10.1371/journal.pone.0246564
                7886196
                33592004
                12ba3e39-0862-411e-9781-0cd495695b4a
                © 2021 Clink et al

                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
                : 14 September 2020
                : 21 January 2021
                Page count
                Figures: 6, Tables: 5, Pages: 20
                Funding
                Funded by: The Fulbright ASEAN Research Award for U.S. Scholars
                Award Recipient :
                The Fulbright ASEAN Research Award for U.S. Scholars (no award number given) provided funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Birds
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Birds
                Physical Sciences
                Physics
                Acoustics
                Biology and Life Sciences
                Psychology
                Behavior
                Animal Behavior
                Social Sciences
                Psychology
                Behavior
                Animal Behavior
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Biology and Life Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Predation
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Predation
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Valleys
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Primates
                Apes
                Gibbons
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Mammals
                Primates
                Apes
                Gibbons
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Mathematical Models
                Biology and Life Sciences
                Psychology
                Behavior
                Animal Behavior
                Animal Sexual Behavior
                Social Sciences
                Psychology
                Behavior
                Animal Behavior
                Animal Sexual Behavior
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Animal Sexual Behavior
                Custom metadata
                R code and data needed to recreate all analyses are available at https://github.com/DenaJGibbon/Calling-in-Bornean-great-argus.

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