| Literature DB >> 34941892 |
Christian Andre Robstad1, Hanna Kavli Lodberg-Holm1, Martin Mayer1,2, Frank Rosell1.
Abstract
Bio-logging is a common method to collect ecological data on wild animals, but might also induce stress, reduce body condition, and alter behavior. Eurasian beavers (Castor fiber) are a semi-aquatic and nocturnal species that are challenging to observe in the wild. Bio-loggers are hence useful tools to study their behaviour and movements, but this raises concerns of potential negative impacts of tagging. To investigate the potential negative impacts of glue-on tags, we compared body weight change for tagged and untagged Eurasian beavers. We hypothesized that tagged beavers would gain less body weight compared to untagged beavers, and that weight change might be affected by tagging length, tag weight, water temperature and the season of tagging. Daily percentage body weight change in relation to initial body weight during the first capture was compared during 57 tagging periods (18±7 days) and 32 controls periods (64±47 days). Body weight change varied between the two groups, with untagged beavers on average gaining daily weight whilst tagged beavers on average lost weight daily, indicating a negative effect of tagging. The average reduction in percentage body weight change per day for tagged beavers was small (0.1 ± 0.3%), and with large individual variation. Neither tag weight, number of tagging days, nor season were important in explaining body weight change of tagged animals. In other words, we found that tagging reduced daily body weight during the tagging period but were unable to determine the mechanism(s) responsible for this decline. Detrimental effects of tagging have important implications for animal welfare and can introduce bias in data that are collected. This calls for careful consideration in the use of tags. We conclude that studies investigating the effects of tagging should consider individual variation in the effects of tagging and, where possible, compare tagged animals with a control group.Entities:
Mesh:
Year: 2021 PMID: 34941892 PMCID: PMC8699976 DOI: 10.1371/journal.pone.0261453
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Process of tagging a Eurasian beaver (Castor fiber) using glue-on tags within the study area in southeastern Norway.
Attachment of the tag using two-component epoxy glue (a), release of the beaver with the tag attached (b), removal of tag by cutting it out of the outer fur using a scalpel (c), and the tag following removal (d). Photos: Patricia Graf.
Overview of the two Eurasian beaver (Castor fiber) groups (tagged and untagged) in relation to number of days between captures, and total and daily body weight change between the captures in southeastern Norway 2006–2020.
Each variable is presented as the mean with standard deviation and the total range within the parenthesis.
| Tagged | Untagged | |
|---|---|---|
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| 18 ± 6.6 days (8–43) | 64 ± 46.8 (5–139) |
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| 6.7 ± 3.5 years (2–17) | 4.9 ± 3.0 years (2–13) |
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| -220.7 ± 953.5 g (-2,333–2,077.8) | 1,156.9 ± 953.5 g (-500–3,500) |
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| -13.7 ± 59.4 g (-166.64–115.43) | 23 ± 3.0 g (-66.67–149.63) |
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| -0.1 ± 0.3% (-0.82–0.57) | 0.1 ± 0.2% (-0.27–0.75) |
Fig 2Daily percentage body weight change between captures for Eurasian beavers (Castor fiber) in southeastern Norway 2006–2020.
Tagged beavers are shown in black while untagged are shown in dark grey.
The model selection results investigating the percentage daily body weight change between two subsequent captures of Eurasian beavers (Castor fiber) in southeastern Norway (2006–2020).
Each model represents a linear mixed effect model with year and beaver ID included as random effects. Potential fixed effects included in each candidate model are age group of the beaver, season of tagging, sex of the beaver, and whether the beaver was tagged or not. The plus signs indicate which variables were included in each candidate model. Degrees of freedom (df), log likelihood (logLik) and model AIC weight (w) are provided for each candidate model. Results for the best supported model are shown in bold.
| Intercept | AgeG | Season | Sex | Tag | AgeG*Tag | Season *Tag | Sex *Tag | df | logLik | AICc | ΔAICc | w |
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| 0.00 | 4 | -2.27 | 13.01 | 6.35 | 0.04 | |||||||
| 0.08 | + | 6 | -0.47 | 13.96 | 7.30 | 0.02 | ||||||
| -0.09 | + | + | + | + | + | 12 | 6.55 | 15.01 | 8.34 | 0.01 | ||
| 0.09 | + | + | 7 | -0.39 | 16.16 | 9.49 | 0.01 | |||||
| 0.03 | + | + | 8 | 0.48 | 16.83 | 10.17 | 0.01 | |||||
| -0.08 | + | + | + | + | + | + | 13 | 6.57 | 17.72 | 11.06 | 0.00 | |
| -0.08 | + | + | + | + | + | + | 13 | 6.57 | 17.72 | 11.06 | 0.00 | |
| -0.11 | + | + | + | + | + | + | 14 | 6.76 | 20.15 | 13.49 | 0.00 | |
| -0.11 | + | + | + | + | + | + | + | 15 | 6.76 | 23.05 | 16.39 | 0.00 |
Fig 3Estimated daily weight change (%) between captures for tagged and untagged Eurasian beavers (Castor fiber) in southeastern Norway (2006–2020).
The prediction is based on a linear mixed effects model using percent daily body weight change as the response variable. The horizontal lines represent the 95% confidence intervals around each mean.
Effect size (β), adjusted standard error (SE), lower (LCI), and upper (UCI) 95% confidence interval of explanatory variables in the most parsimonious model analyzing percentage daily body weight change between two subsequent captures of Eurasian beavers (Castor fiber) in southeastern Norway (2006–2020).
The intercept includes the ‘young’ age group of beavers. The informative parameters are shown in bold, and the marginal (R2m) and conditional (R2c) R squared is given for the model overall.
| β | SE | LCI | UCI | R2m | R2c | |
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| Intercept (Tagged) | ‒0.04 | 0.07 | ‒0.18 | 0.09 | 0.16 | 0.40 |
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| AgeGroup (Adult) | ‒0.05 | 0.06 | ‒0.16 | 0.07 | ||
| AgeGroup (Old) | 0.00 | 0.09 | ‒0.18 | 0.18 |
The model selection result, investigating percentage body weight change during tagging of Eurasian beavers (Castor fiber) in South-Eastern Norway (2009–2020).
Each model represents a linear mixed effects model with beaver ID included as a random effect. Potential fixed effects included in each candidate model are tag weight as a percent of initial beaver body mass (tag weight %), age group of the beaver, number of days tagged, season of tagging, sex, and average water temperature during the tagging period. The plus signs indicate the categorical variables included, and values are given for numerical variables that were included in each candidate model. The intercept includes the ‘young’ age group of beavers. Candidate models were ranked based on AICc, and the range of ΔAICc <2 are shown in bold. Degrees of freedom (df), log likelihood (logLik) and AIC weight (w) is provided for each candidate model.
| Intercept | Age group | Relative tag weight % | Tagging days | Season | Sex | Average water temperature | df | logLik | AICc | delta | w |
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| ‒1.59 | + | 6.00 | ‒143.96 | 301.83 | 4.80 | 0.07 | |||||
| ‒3.22 | + | 0.09 | 7.00 | ‒143.37 | 303.35 | 6.32 | 0.03 | ||||
| ‒0.37 | + | ‒0.14 | 7.00 | ‒143.47 | 303.53 | 6.50 | 0.03 | ||||
| ‒0.14 | + | 7.00 | ‒143.75 | 304.10 | 7.07 | 0.02 | |||||
| ‒1.40 | + | + | 7.00 | ‒143.89 | 304.39 | 7.36 | 0.02 | ||||
| ‒2.05 | + | 0.10 | ‒0.14 | 8.00 | ‒142.79 | 305.01 | 7.98 | 0.01 | |||
| ‒1.54 | + | + | 8.00 | ‒143.22 | 305.88 | 8.85 | 0.01 | ||||
| ‒1.90 | + | ‒1.75 | 0.09 | 8.00 | ‒143.23 | 305.88 | 8.85 | 0.01 | |||
| ‒3.36 | + | 0.10 | + | 9.00 | ‒142.66 | 307.70 | 10.67 | 0.00 | |||
| ‒1.93 | + | 0.10 | + | ‒0.14 | 9.00 | ‒142.73 | 307.86 | 10.83 | 0.00 | ||
| ‒1.79 | + | ‒1.65 | 0.09 | + | 9.00 | ‒143.15 | 308.70 | 11.66 | 0.00 | ||
| ‒1.81 | + | ‒2.10 | 0.09 | + | 10.00 | ‒142.44 | 310.39 | 13.36 | 0.00 | ||
| 0.07 | + | ‒2.46 | 0.09 | + | ‒0.16 | 10.00 | ‒142.46 | 310.42 | 13.39 | 0.00 | |
| ‒1.79 | + | ‒2.00 | 0.09 | + | + | 11.00 | ‒142.41 | 313.59 | 16.56 | 0.00 |