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      Thermoregulation in the wild boar (Sus scrofa)

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          Abstract

          The wild boar ( Sus scrofa) originates from warm islands but now inhabits large areas of the world, with Antarctica as the only continent not inhabited by this species. One might be tempted to think that its wide distribution results from increasing environmental temperatures. However, any effect of temperature is only indirect: Abundant availability of critical food resources can fully compensate the negative effects of cold winters on population growth. Here, we asked if temperature as a habitat factor is unimportant compared with other habitat indices, simply because wild boars are excellent thermoregulators. We found that the thermoneutral zone in summer was approximately 6–24 °C. In winter, the thermoneutral zone was lowered to 0–7 °C. The estimated increase in the heart rate and energy expenditure in the cold was less than 30% per 10 °C temperature decline. This relatively small increase of energy expenditure during cold exposure places the wild boar in the realm of arctic animals, such as the polar bear, whereas tropical mammals raise their energy expenditure several fold. The response of wild boars to high T a was weak across all seasons. In the heat, wild boars avoid close contact to conspecifics and particularly use wallowing in mud or other wet substrates to cool and prevent hyperthermia. Wild boars also rely on daily cycles, especially of rhythms in subcutaneous temperature that enables them to cheaply build large core–shell gradients, which serve to lower heat loss. We argue it is predominantly this ability which allowed wild boars to inhabit most climatically diverse areas in the world.

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          Generalized Additive Models

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            Dates and Times Made Easy withlubridate

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              Estimating regression models with unknown break-points.

              This paper deals with fitting piecewise terms in regression models where one or more break-points are true parameters of the model. For estimation, a simple linearization technique is called for, taking advantage of the linear formulation of the problem. As a result, the method is suitable for any regression model with linear predictor and so current software can be used; threshold modelling as function of explanatory variables is also allowed. Differences between the other procedures available are shown and relative merits discussed. Simulations and two examples are presented to illustrate the method. Copyright 2003 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                thomas.ruf@vetmeduni.ac.at
                Journal
                J Comp Physiol B
                J Comp Physiol B
                Journal of Comparative Physiology. B, Biochemical, Systemic, and Environmental Physiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0174-1578
                1432-136X
                24 September 2023
                24 September 2023
                2023
                : 193
                : 6
                : 689-697
                Affiliations
                [1 ]Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, University of Veterinary Medicine, ( https://ror.org/01w6qp003) Savoyenstrasse 1, 1160 Vienna, Austria
                [2 ]Present Address: Department for Farm Animals and Veterinary Public Health, Institute of Animal Welfare Science, University of Veterinary Medicine, ( https://ror.org/01w6qp003) Veterinärplatz 1, 1210 Vienna, Austria
                Author notes

                Communicated by G. Heldmaier.

                Author information
                http://orcid.org/0000-0002-9235-7079
                http://orcid.org/0000-0001-5374-5872
                http://orcid.org/0000-0003-3929-511X
                http://orcid.org/0000-0002-8901-1181
                http://orcid.org/0000-0001-8919-3117
                Article
                1512
                10.1007/s00360-023-01512-6
                10613136
                37742299
                5de82a39-8819-4376-8f8d-2b43d9eb91f2
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 June 2023
                : 25 August 2023
                : 5 September 2023
                Funding
                Funded by: Austrian Research Promotion Agency
                Award ID: 855666
                Award Recipient :
                Funded by: Government of Lower Austria
                Funded by: Government of Vienna
                Funded by: University of Veterinary Medicine Vienna
                Categories
                Original Paper
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2023

                Anatomy & Physiology
                thermoregulation,tnz,heart rate,core–shell,subcutaneous temperature,mass
                Anatomy & Physiology
                thermoregulation, tnz, heart rate, core–shell, subcutaneous temperature, mass

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