2016
DOI: 10.1093/conphys/cov055
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Phenotypic variation in metabolism and morphology correlating with animal swimming activity in the wild: relevance for the OCLTT (oxygen- and capacity-limitation of thermal tolerance), allocation and performance models

Abstract: Combining physiological and morphological measures in the laboratory with registrations of detailed measures of field activity, we tested the hypothesis that individual activity patterns correlate with individual metabolism and morphology as proposed by several conceptual models. We found no evidence indicating an effect of metabolism, whereas morphology correlated with several activity measures.

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Cited by 35 publications
(34 citation statements)
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“…Piscivorous perch in the study lake travelled on average over 6 km per day-a distance much greater than previously reported for this species (Baktoft et al, 2016;Jacobsen et al, 2002;Jacobsen et al, 2015). In Lake Engelsholm in Denmark, for example, perch were reported to swim approximately 1 km/day .…”
Section: Activity In the Wildmentioning
confidence: 54%
“…Piscivorous perch in the study lake travelled on average over 6 km per day-a distance much greater than previously reported for this species (Baktoft et al, 2016;Jacobsen et al, 2002;Jacobsen et al, 2015). In Lake Engelsholm in Denmark, for example, perch were reported to swim approximately 1 km/day .…”
Section: Activity In the Wildmentioning
confidence: 54%
“…Presently, empirical evidence for among-individual correlations between behavior and metabolism, if present, is equivocal. Several studies have reported positive correlations between metabolic rate and behavior (e.g., (Careau et al, 2011;Huntingford et al, 2010;Martins, Castanheira, Engrola, Costas, & Conceição, 2011;Metcalfe et al, 1995;Myles-Gonzalez, Fox, Burness, Rooke, & Yavno, 2015), while others have not (e.g., Farwell & McLaughlin, 2009, Timonin et al, 2011, Le Galliard, Paquet, Cisel, & Montes-Poloni, 2013, Mathot, Martin, Kempenaers, & Forstmeier, 2013, Merritt, Matthews, & White, 2013, Gifford, Clay, & Careau, 2014; see also reviews in Biro & Stamps, 2010, and Baktoft et al, 2016, Biro, Fanson, & Santostefano, 2016. Amongst studies that do report on significant correlations, these are weak or differ amongst contexts or groups (Lantová, Zub, Koskela, Šíchová, & Borowski, 2011, Reid, Armstrong, & Metcalfe, 2011, Killen, Marras, Ryan, Domenici, & McKenzie, 2012, Reid, Armstrong, & Metcalfe, 2012, Bouwhuis et al, 2014, Pang, Fu, & Zhang, 2015.…”
mentioning
confidence: 99%
“…Our results suggest that the HR‐VPS technology should close this critical gap, finally providing accurate measures of spontaneous activity, foraging ability and habitat preferences in the wild. This will allow individual variation in traits such as metabolic rate, stress responsiveness and personality of multiple individuals in a confined area to be directly related to movement patterns (migration, foraging habits and spawning aggregations) in free‐ranging animals (Baktoft et al., ; Laskowski et al., ; Treberg, Killen, MacCormack, Lamarre, & Enders, ). From a conservation perspective, this technology will facilitate the study of how animal movements change in response to natural and anthropogenic change in variables such as temperature, oxygen and food availability.…”
Section: Discussionmentioning
confidence: 99%