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Otte PJ, Cromsigt JPGM, Smit C, Hofmeester TR. Snow cover-related camouflage mismatch increases detection by predators. JOURNAL OF EXPERIMENTAL ZOOLOGY. PART A, ECOLOGICAL AND INTEGRATIVE PHYSIOLOGY 2024; 341:327-337. [PMID: 38247310 DOI: 10.1002/jez.2784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/04/2024] [Accepted: 01/08/2024] [Indexed: 01/23/2024]
Abstract
Camouflage expressed by animals is an adaptation to local environments that certain animals express to maximize survival and fitness. Animals at higher latitudes change their coat color according to a seasonally changing environment, expressing a white coat in winter and a darker coat in summer. The timing of molting is tightly linked to the appearance and disappearance of snow and is mainly regulated by photoperiod. However, due to climate change, an increasing mismatch is observed between the coat color of these species and their environment. Here, we conducted an experiment in northern Sweden, with white and brown decoys to study how camouflage (mis)-match influenced (1) predator attraction to decoys, and (2) predation events. Using camera trap data, we showed that mismatching decoys attracted more predators and experienced a higher likelihood of predation events in comparison to matching decoys, suggesting that camouflage mismatched animals experience increased detection by predators. These results provide insight into the function of a seasonal color coat and the need for this adaptation to maximize fitness in an environment that is exposed to high seasonality. Thus, our results suggest that, with increasing climate change and reduced snow cover, animals expressing a seasonal color coat will experience a decrease in survival.
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Affiliation(s)
- Pieter J Otte
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Joris P G M Cromsigt
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
- Department of Zoology, Centre for African Conservation Ecology, Nelson Mandela University, Gqeberha, South Africa
| | - Christian Smit
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Tim R Hofmeester
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
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Jackson CR, Rød‐Eriksen L, Mattisson J, Flagstad Ø, Landa A, Miller AL, Eide NE, Ulvund KR. Predation of endangered Arctic foxes by Golden eagles: What do we know? Ecol Evol 2023; 13:e9864. [PMID: 36937073 PMCID: PMC10015364 DOI: 10.1002/ece3.9864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/04/2023] [Accepted: 02/09/2023] [Indexed: 03/17/2023] Open
Abstract
Dedicated conservation efforts spanning the past two decades have saved the Fennoscandian Arctic fox (Vulpes lagopus) population from local extinction, and extensive resources continue to be invested in the species' conservation and management. Although increasing, populations remain isolated, small and are not yet viable in the longer term. An understanding of causes of mortality are consequently important to optimize ongoing conservation actions. Golden eagles (Aquila chrysaetos) are a predator of Arctic foxes, yet little information on this interaction is available in the literature. We document and detail six confirmed cases of Golden eagle depredation of Arctic foxes at the Norwegian captive breeding facility (2019-2022), where foxes are housed in large open-air enclosures in the species' natural habitat. Here, timely detection of missing/dead foxes was challenging, and new insights have been gained following recently improved enclosure monitoring. Golden eagle predation peaked during the winter months, with no cases reported from June to November. This finding contrasts with that which is reported from the field, both for Arctic and other fox species, where eagle depredation peaked at dens with young (summer). While the seasonality of depredation may be ecosystem specific, documented cases from the field may be biased by higher survey efforts associated with the monitoring of reproductive success during the summer. Both white and blue color morphs were housed at the breeding station, yet only white foxes were preyed upon, and mortality was male biased. Mitigation measures and their effectiveness implemented at the facility are presented. Findings are discussed in the broader Arctic fox population ecology and conservation context.
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Affiliation(s)
- Craig R. Jackson
- Department of Terrestrial EcologyNorwegian Institute for Nature Research (NINA)TrondheimNorway
| | - Lars Rød‐Eriksen
- Department of Terrestrial EcologyNorwegian Institute for Nature Research (NINA)TrondheimNorway
| | - Jenny Mattisson
- Department of Terrestrial EcologyNorwegian Institute for Nature Research (NINA)TrondheimNorway
| | - Øystein Flagstad
- Department of Terrestrial EcologyNorwegian Institute for Nature Research (NINA)TrondheimNorway
| | - Arild Landa
- Norwegian Institute for Nature Research (NINA)BergenNorway
| | - Andrea L. Miller
- Department of Terrestrial EcologyNorwegian Institute for Nature Research (NINA)TrondheimNorway
- Department of Forestry and Wildlife Management, Faculty of Applied EcologyAgricultural Sciences and BiotechnologyInland Norway University of Applied SciencesKoppangNorway
| | - Nina E. Eide
- Department of Terrestrial EcologyNorwegian Institute for Nature Research (NINA)TrondheimNorway
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3
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Zimova M, Moberg D, Mills LS, Dietz AJ, Angerbjörn A. Colour moult phenology and camouflage mismatch in polymorphic populations of Arctic foxes. Biol Lett 2022; 18:20220334. [PMID: 36382371 PMCID: PMC9667137 DOI: 10.1098/rsbl.2022.0334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/20/2022] [Indexed: 11/18/2023] Open
Abstract
Species that seasonally moult from brown to white to match snowy backgrounds become conspicuous and experience increased predation risk as snow cover duration declines. Long-term adaptation to camouflage mismatch in a changing climate might occur through phenotypic plasticity in colour moult phenology and or evolutionary shifts in moult rate or timing. Also, adaptation may include evolutionary shifts towards winter brown phenotypes that forgo the winter white moult. Most studies of these processes have occurred in winter white populations, with little attention to polymorphic populations with sympatric winter brown and winter white morphs. Here, we used remote camera traps to record moult phenology and mismatch in two polymorphic populations of Arctic foxes in Sweden over 2 years. We found that the colder, more northern population moulted earlier in the autumn and later in the spring. Next, foxes moulted earlier in the autumn and later in the spring during colder and snowier years. Finally, white foxes experienced relatively low camouflage mismatch while blue foxes were mismatched against snowy backgrounds most of the autumn through the spring. Because the brown-on-white mismatch imposes no evident costs, we predict that as snow duration decreases, increasing blue morph frequencies might help facilitate species persistence.
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Affiliation(s)
- Marketa Zimova
- Department of Biology, Appalachian State University, Boone, NC 28608, USA
- Wildlife Biology Program, University of Montana, Missoula, MT 59812, USA
| | - Dick Moberg
- Department of Zoology, Stockholm University, Stockholm 10691, Sweden
| | - L. Scott Mills
- Wildlife Biology Program, University of Montana, Missoula, MT 59812, USA
- Office of the Vice President for Research and Creative Scholarship, University of Montana, Missoula, MT 59812, USA
- Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences - Evenstad, 2418 Elverum, Norway
| | - Andreas J. Dietz
- German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany
| | - Anders Angerbjörn
- Department of Zoology, Stockholm University, Stockholm 10691, Sweden
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Hofmeester TR, Thorsen NH, Linnell JDC, Odden J. Camera trap records of leucistic Eurasian badgers ( Meles meles) in central Norway. Ecol Evol 2021; 11:12902-12907. [PMID: 34646442 PMCID: PMC8495824 DOI: 10.1002/ece3.8052] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/10/2021] [Accepted: 08/12/2021] [Indexed: 01/25/2023] Open
Abstract
Coat coloration plays an important role in communication, camouflage, and sexual selection in animals. Genetic mutations can lead to anomalous colorations such as melanism and leucism, where animals appear, respectively, darker or lighter than normal. Reporting abnormal coloration in wild animals is an important first step to understand the distribution, prevalence, and potential fitness consequences of these rare events. Here, we report several records of suspected leucism in the Eurasian badger (Meles meles) in a population in central Norway. Several camera traps recorded at least two leucistic individuals between 2017 and 2020. It took considerable effort, almost 400,000 camera trap nights over a period of 10 years all over Norway, to obtain a total of eleven records of leucistic badgers, indicating the rarity of this phenotype. It is unclear what has caused the presence of multiple leucistic badgers in a single population, but recent colonization and lack of predators might have played a role. Due to our observations, future studies can now be developed to study the underlying mechanisms and potential consequences of leucism in this badger population. The increasing use of networks of camera traps in wildlife research will provide new opportunities to record rare coloration in wild animals.
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Affiliation(s)
- Tim R. Hofmeester
- Department of Wildlife, Fish, and Environmental StudiesSwedish University of Agricultural SciencesUmeåSweden
| | | | - John D. C. Linnell
- Norwegian Institute for Nature ResearchTrondheimNorway
- Department of Forestry and Wildlife ManagementInland Norway University of Applied SciencesKoppangNorway
| | - John Odden
- Norwegian Institute for Nature ResearchOsloNorway
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Tietgen L, Hagen IJ, Kleven O, Bernardi CD, Kvalnes T, Norén K, Hasselgren M, Wallén JF, Angerbjörn A, Landa A, Eide NE, Flagstad Ø, Jensen H. Fur colour in the Arctic fox: genetic architecture and consequences for fitness. Proc Biol Sci 2021; 288:20211452. [PMID: 34583587 PMCID: PMC8479361 DOI: 10.1098/rspb.2021.1452] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Genome-wide association studies provide good opportunities for studying the genetic basis of adaptive traits in wild populations. Yet, previous studies often failed to identify major effect genes. In this study, we used high-density single nucleotide polymorphism and individual fitness data from a wild non-model species. Using a whole-genome approach, we identified the MC1R gene as the sole causal gene underlying Arctic fox Vulpes lagopus fur colour. Further, we showed the adaptive importance of fur colour genotypes through measures of fitness that link ecological and evolutionary processes. We found a tendency for blue foxes that are heterozygous at the fur colour locus to have higher fitness than homozygous white foxes. The effect of genotype on fitness was independent of winter duration but varied with prey availability, with the strongest effect in years of increasing rodent populations. MC1R is located in a genomic region with high gene density, and we discuss the potential for indirect selection through linkage and pleiotropy. Our study shows that whole-genome analyses can be successfully applied to wild species and identify major effect genes underlying adaptive traits. Furthermore, we show how this approach can be used to identify knowledge gaps in our understanding of interactions between ecology and evolution.
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Affiliation(s)
- Lukas Tietgen
- Centre for Biodiversity Dynamics (CBD), Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway.,Norwegian Institute for Nature Research (NINA), Trondheim 7485, Norway
| | - Ingerid J Hagen
- Centre for Biodiversity Dynamics (CBD), Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway.,Norwegian Institute for Nature Research (NINA), Trondheim 7485, Norway
| | - Oddmund Kleven
- Norwegian Institute for Nature Research (NINA), Trondheim 7485, Norway
| | - Cecilia Di Bernardi
- Norwegian Institute for Nature Research (NINA), Trondheim 7485, Norway.,Department of Biology and Biotechnologies 'Charles Darwin', University of Rome La Sapienza, Viale dell' Università 32, Rome 00185, Italy
| | - Thomas Kvalnes
- Centre for Biodiversity Dynamics (CBD), Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway
| | - Karin Norén
- Department of Zoology, Stockholm University, Stockholm 10691, Sweden
| | - Malin Hasselgren
- Department of Zoology, Stockholm University, Stockholm 10691, Sweden
| | - Johan Fredrik Wallén
- Department of Zoology, Stockholm University, Stockholm 10691, Sweden.,Swedish Museum of Natural History, Stockholm 10405, Sweden
| | - Anders Angerbjörn
- Department of Zoology, Stockholm University, Stockholm 10691, Sweden
| | - Arild Landa
- Norwegian Institute for Nature Research (NINA), Trondheim 7485, Norway
| | - Nina E Eide
- Norwegian Institute for Nature Research (NINA), Trondheim 7485, Norway
| | - Øystein Flagstad
- Norwegian Institute for Nature Research (NINA), Trondheim 7485, Norway
| | - Henrik Jensen
- Centre for Biodiversity Dynamics (CBD), Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway
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