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      Taxa‐dependent temporal trends in the abundance and size of sea urchins in subtropical eastern Australia

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          Abstract

          Subtropical reefs host a dynamic mix of tropical, subtropical, and temperate species that is changing due to shifts in the abundance and distribution of species in response to ocean warming. In these transitional communities, biogeographic affinity is expected to predict changes in species composition, with projected increases of tropical species and declines in cool‐affinity temperate species. Understanding population dynamics of species along biogeographic transition zones is critical, especially for habitat engineers such as sea urchins that can facilitate ecosystem shifts through grazing. We investigated the population dynamics of sea urchins on coral‐associated subtropical reefs at 7 sites in eastern Australia (28.196° S to 30.95° S) over 9 years (2010–2019), a period impacted by warming and heatwaves. Specifically, we investigated the density and population size structure of taxa with temperate ( Centrostephanus rodgersii, Phyllacanthus parvispinus), subtropical ( Tripneustes australiae) and tropical ( Diadema spp.) affinities. Counter to expectation, biogeographic affinity did not explain shifts in species abundances in this region. Although we expected the abundance of tropical species to increase at their cold range boundaries, tropical Diadema species declined across all sites. The subtropical T. australiae also showed declines, while populations of the temperate C. rodgersii were remarkably stable throughout our study period. Our results show that temporal patterns of sea urchin populations in this region cannot be predicted by bio‐geographic affinity alone and contribute critical information about the population dynamics of these important herbivores along this biogeographic transition zone.

          Abstract

          We investigated the population dynamics of sea urchins on coral‐associated subtropical reefs at 7 sites in eastern Australia (28.196° S to 30.95° S) over 9 years (2010–2019), a period impacted by warming and heatwaves. Counter to expectation, biogeographic affinity did not explain shifts in species abundances in this region. Our results show that temporal patterns of sea urchin populations in this region cannot be predicted by bio‐geographic affinity alone and contribute critical information about the population dynamics of these important herbivores along this biogeographic transition zone.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Simultaneous inference in general parametric models.

            Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level. Simultaneous inference procedures have to be used which adjust for multiplicity and thus control the overall type I error rate. In this paper we describe simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters. The framework described here is quite general and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalized linear models, linear mixed effects models, the Cox model, robust linear models, etc. Several examples using a variety of different statistical models illustrate the breadth of the results. For the analyses we use the R add-on package multcomp, which provides a convenient interface to the general approach adopted here. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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              glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

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                Author and article information

                Contributors
                emily.mclaren@sydney.edu.au
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                19 May 2024
                May 2024
                : 14
                : 5 ( doiID: 10.1002/ece3.v14.5 )
                : e11412
                Affiliations
                [ 1 ] School of Life and Environmental Sciences, Coastal and Marine Ecosystems Group The University of Sydney Sydney New South Wales Australia
                [ 2 ] School of the Environment The University of Queensland St. Lucia Queensland Australia
                [ 3 ] School of Biology, Faculty of Biological Sciences University of Leeds Leeds UK
                [ 4 ] Centre for Biodiversity and Conservation Science, School of the Environment The University of Queensland St. Lucia Queensland Australia
                Author notes
                [*] [* ] Correspondence

                Emily McLaren, School of Life and Environmental Sciences, Coastal and Marine Ecosystems Group, The University of Sydney, Sydney, NSW 2050, Australia.

                Email: emily.mclaren@ 123456sydney.edu.au

                Author information
                https://orcid.org/0000-0001-8007-2415
                https://orcid.org/0000-0003-0617-7790
                https://orcid.org/0000-0003-3047-6694
                https://orcid.org/0000-0003-1363-3571
                https://orcid.org/0000-0002-8902-9808
                Article
                ECE311412 ECE-2024-03-00500.R1
                10.1002/ece3.11412
                11103280
                38770118
                013e063f-9c65-4116-90b2-087f1756a5b4
                © 2024 The Author(s). Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 April 2024
                : 10 March 2024
                : 02 May 2024
                Page count
                Figures: 6, Tables: 1, Pages: 13, Words: 9400
                Funding
                Funded by: Australian Research Council , doi 10.13039/501100000923;
                Award ID: DE230100141
                Funded by: Ecological Society of Australia , doi 10.13039/501100008702;
                Funded by: Centre of Excellence for Coral Reef Studies, Australian Research Council , doi 10.13039/100014402;
                Award ID: CE140100020
                Funded by: Australian Research Council Centre of Excellence for Environmental Decisions
                Award ID: CE110001014
                Categories
                Ecosystem Ecology
                Research Article
                Research Articles
                Custom metadata
                2.0
                May 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.3 mode:remove_FC converted:20.05.2024

                Evolutionary Biology
                echinoids,new south wales,population dynamics,sea urchins,subtropical reefs,transition zone

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