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      Drastic changes in ground-dwelling beetle communities following high-intensity deer culling: insights from an island ecosystem

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          Abstract

          The overabundance of large herbivores can have detrimental effects on the local environment due to overgrazing. Culling is a common management practice implemented globally that can effectively control herbivore populations and allow vegetation communities to recover. However, the broader indirect effects of culling large herbivores remain relatively unknown, particularly on insect species such as ground-dwelling beetles that perform key ecosystem processes such as decomposition. Here we undertook a preliminary investigation to determine how culling sika deer on an island in North Japan impacted ground-beetle community dynamics. We conducted pitfall trapping in July and September in 2012 (before culling) and again in 2019 (after culling). We compared beetle abundance and community composition within 4 beetle families (Carabidae, Scarabaeidae, Geotrupidae, and Silphidae), across seasons and culling treatments. We found each family responded differently to deer culling. Scarabaeidae displayed the greatest decline in abundance after culling. Silphidae also had reduced abundance but to a lesser extent compared to Scarabaeidae. Carabidae had both higher and lower abundance after culling, depending on the season. We found beetle community composition differed between culling and season, but seasonal variability was reduced after culling. Overall, the culling of large herbivores resulted in a reduction of ground-dwelling beetle populations, particularly necrophagous species dependent on dung and carrion for survival. Our preliminary research highlights the need for long-term and large-scale experiments to understand the indirect ecological implications of culling programs on ecosystem processes.

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          performance: An R Package for Assessment, Comparison and Testing of Statistical Models

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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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              Ecological Impacts of Deer Overabundance

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                Author and article information

                Contributors
                Role: Subject Editor
                Journal
                Environ Entomol
                Environ Entomol
                ee
                Environmental Entomology
                Oxford University Press (US )
                0046-225X
                1938-2936
                April 2024
                25 February 2024
                25 February 2024
                : 53
                : 2
                : 223-229
                Affiliations
                School of Environmental and Rural Science, University of New England , Armidale, NSW 2350, Australia
                Fenner School of Environment and Society, The Australian National University , Canberra, ACT, Australia
                School of Life and Environmental Sciences, Deakin University , Geelong, Victoria 3216, Australia
                Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo, Tokyo 113–8657, Japan
                Institute of Global Innovation Research, Tokyo University of Agriculture and Technology , Fuchu, Tokyo 183-8509, Japan
                Institute of Global Innovation Research, Tokyo University of Agriculture and Technology , Fuchu, Tokyo 183-8509, Japan
                Author notes
                Corresponding author, mail: bdawso22@ 123456une.edu.au
                Author information
                https://orcid.org/0000-0002-3953-8719
                https://orcid.org/0000-0001-7025-2287
                https://orcid.org/0000-0002-8377-2211
                https://orcid.org/0000-0003-1758-4199
                https://orcid.org/0000-0002-1610-7828
                https://orcid.org/0000-0002-2926-8196
                Article
                nvae013
                10.1093/ee/nvae013
                11008735
                38402461
                d10b9919-2645-4d0c-b7c0-b0324bd74877
                © The Author(s) 2024. Published by Oxford University Press on behalf of Entomological Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 July 2023
                : 19 January 2024
                : 15 February 2024
                Page count
                Pages: 7
                Funding
                Funded by: JSPS Grant-in-Aid for Scientific Research;
                Award ID: 25292085
                Award ID: 16H02555
                Categories
                Community Ecology
                AcademicSubjects/SCI01382

                ecosystem processes,necrobiome,carabidae,scarabaeidae,sika deer,silphidae

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