| Title |
Flexibility in metabolic rate and activity level determines individual variation in overwinter performance
|
|---|---|
| Published in |
Oecologia, July 2016
|
| DOI | 10.1007/s00442-016-3697-z |
| Pubmed ID | |
| Authors |
Sonya K. Auer, Karine Salin, Graeme J. Anderson, Neil B. Metcalfe |
| Abstract |
Energy stores are essential for the overwinter survival of many temperate and polar animals, but individuals within a species often differ in how quickly they deplete their reserves. These disparities in overwinter performance may be explained by differences in their physiological and behavioral flexibility in response to food scarcity. However, little is known about whether individuals exhibit correlated or independent changes in these traits, and how these phenotypic changes collectively affect their winter energy use. We examined individual flexibility in both standard metabolic rate and activity level in response to food scarcity and their combined consequences for depletion of lipid stores among overwintering brown trout (Salmo trutta). Metabolism and activity tended to decrease, yet individuals exhibited striking differences in their physiological and behavioral flexibility. The rate of lipid depletion was negatively related to decreases in both metabolic and activity rates, with the smallest lipid loss over the simulated winter period occurring in individuals that had the greatest reductions in metabolism and/or activity. However, changes in metabolism and activity were negatively correlated; those individuals that decreased their SMR to a greater extent tended to increase their activity rates, and vice versa, suggesting among-individual variation in strategies for coping with food scarcity. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Papua New Guinea | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Canada | 1 | 1% |
| Argentina | 1 | 1% |
| Denmark | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 79 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Researcher | 19 | 22% |
| Student > Bachelor | 8 | 9% |
| Student > Master | 8 | 9% |
| Professor | 7 | 8% |
| Other | 9 | 11% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 54% |
| Environmental Science | 18 | 21% |
| Earth and Planetary Sciences | 2 | 2% |
| Business, Management and Accounting | 1 | 1% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 16 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2018.
All research outputs
#14,268,952
of 22,881,964 outputs
Outputs from Oecologia
#3,076
of 4,224 outputs
Outputs of similar age
#214,460
of 365,307 outputs
Outputs of similar age from Oecologia
#27
of 45 outputs
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