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      Chasing away accurate results: exhaustive chase protocols underestimate maximum metabolic rate estimates in European perch Perca fluviatilis

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          Abstract

          Metabolic rates are one of many measures that are used to explain species' response to environmental change. Static respirometry is used to calculate the standard metabolic rate (SMR) of fish, and when combined with exhaustive chase protocols it can be used to measure maximum metabolic rate (MMR) and aerobic scope (AS) as well. While these methods have been tested in comparison to swim tunnels and chambers with circular currents, they have not been tested in comparison with a no‐chase control. We used a repeated‐measures design to compare estimates of SMR, MMR and AS in European perch Perca fluviatilis following three protocols: (a) a no‐chase control; (b) a 3‐min exhaustive chase; and (c) a 3‐min exhaustive chase followed by 1‐min air exposure. We found that, contrary to expectations, exhaustive chase protocols underestimate MMR and AS at 18°C, compared to the no‐chase control. This suggests that metabolic rates of other species with similar locomotorty modes or lifestyles could be similarly underestimated using chase protocols. These underestimates have implications for studies examining metabolic performance and responses to climate change scenarios. To prevent underestimates, future experiments measuring metabolic rates should include a pilot with a no‐chase control or, when appropriate, an adjusted methodology in which trials end with the exhaustive chase instead of beginning with it.

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          Most cited references40

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          Fitting Linear Mixed-Effects Models Using lme4

          Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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            Ecology. Physiology and climate change.

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              rptR: repeatability estimation and variance decomposition by generalized linear mixed-effects models

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                Author and article information

                Contributors
                matilda.andersson@ebc.uu.se
                Journal
                J Fish Biol
                J Fish Biol
                10.1111/(ISSN)1095-8649
                JFB
                Journal of Fish Biology
                Blackwell Publishing Ltd (Oxford, UK )
                0022-1112
                1095-8649
                14 October 2020
                December 2020
                : 97
                : 6 ( doiID: 10.1111/jfb.v97.6 )
                : 1644-1650
                Affiliations
                [ 1 ] Department of Ecology and Genetics Uppsala University Uppsala Sweden
                Author notes
                [*] [* ] Correspondence

                Matilda L. Andersson, Evolutionary Biology Centre, Department of Limnologi, Norbyvägen 18D, SE‐75236 Uppsala, Sweden.

                Email: matilda.andersson@ 123456ebc.uu.se

                Author information
                https://orcid.org/0000-0001-5926-1246
                Article
                JFB14519
                10.1111/jfb.14519
                7756275
                32889736
                601d1f89-55f4-48bc-9345-6e4054fe122a
                © 2020 The Authors. Journal of Fish Biology published by John Wiley & Sons Ltd on behalf of Fisheries Society of the British Isles.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 03 June 2020
                : 13 August 2020
                : 26 August 2020
                Page count
                Figures: 2, Tables: 2, Pages: 7, Words: 6310
                Funding
                Funded by: Svenska Forskningsrådet Formas , open-funder-registry 10.13039/501100001862;
                Award ID: Dnr. 942‐2015‐365
                Categories
                Regular Paper
                Regular Papers
                Custom metadata
                2.0
                December 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:23.12.2020

                Ecology
                aerobic scope,climate change,exhaustive chase,intermittent‐flow respirometry,methods,standard metabolic rate

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