Evidence map›Paper›PMID 27069576›Full record

ArticleEcology and evolution2016

Improving consumption rate estimates by incorporating wild activity into a bioenergetics model.

Stephanie Brodie, Matthew D Taylor, James A Smith, Iain M Suthers, Charles A Gray, Nicholas L Payne

Abstract read
In one paragraph

Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Stephanie BrodieSchool of Biological, Earth and Environmental Sciences Evolution and Ecology Research Centre University of New South Wales Sydney NSW 2052 Australia; Sydney Institute of Marine Science Mosman NSW 2028 Australia.
Matthew D TaylorSchool of Biological, Earth and Environmental Sciences Evolution and Ecology Research Centre University of New South Wales Sydney NSW 2052 Australia; New South Wales Department of Primary Industries Port Stephens Fisheries Institute Locked Bag 1 Nelson Bay NSW 2315 Australia.
James A SmithSchool of Biological, Earth and Environmental Sciences Evolution and Ecology Research Centre University of New South Wales Sydney NSW 2052 Australia; Sydney Institute of Marine Science Mosman NSW 2028 Australia.
Iain M SuthersSchool of Biological, Earth and Environmental Sciences Evolution and Ecology Research Centre University of New South Wales Sydney NSW 2052 Australia; Sydney Institute of Marine Science Mosman NSW 2028 Australia.
Charles A GraySchool of Biological, Earth and Environmental Sciences Evolution and Ecology Research Centre University of New South Wales Sydney NSW 2052 Australia; WildFish Research Grays Point NSW 2232 Australia.
Nicholas L PayneSchool of Biological, Earth and Environmental Sciences Evolution and Ecology Research Centre University of New South Wales Sydney NSW 2052 Australia; National Institute of Polar Research Tachikawa Tokyo 190-8518 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumption is the basis of metabolic and trophic ecology and is used to assess an animal's trophic impact. The contribution of activity to an animal's energy budget is an important parameter when estimating consumption, yet activity is usually measured in captive animals. Developments in telemetry have allowed the energetic costs of activity to be measured for wild animals; however, wild activity is seldom incorporated into estimates of consumption rates. We calculated the consumption rate of a free-ranging marine predator (yellowtail kingfish, Seriola lalandi) by integrating the energetic cost of free-ranging activity into a bioenergetics model. Accelerometry transmitters were used in conjunction with laboratory respirometry trials to estimate kingfish active metabolic rate in the wild. These field-derived consumption rate estimates were compared with those estimated by two traditional bioenergetics methods. The first method derived routine swimming speed from fish morphology as an index of activity (a "morphometric" method), and the second considered activity as a fixed proportion of standard metabolic rate (a "physiological" method). The mean consumption rate for free-ranging kingfish measured by accelerometry was 152 J·g(-1)·day(-1), which lay between the estimates from the morphometric method (μ = 134 J·g(-1)·day(-1)) and the physiological method (μ = 181 J·g(-1)·day(-1)). Incorporating field-derived activity values resulted in the smallest variance in log-normally distributed consumption rates (σ = 0.31), compared with the morphometric (σ = 0.57) and physiological (σ = 0.78) methods. Incorporating field-derived activity into bioenergetics models probably provided more realistic estimates of consumption rate compared with the traditional methods, which may further our understanding of trophic interactions that underpin ecosystem-based fisheries management. The general methods used to estimate active metabolic rates of free-ranging fish could be extended to examine ecological energetics and trophic interactions across aquatic and terrestrial ecosystems.

Indexed as

Accelerationdaily energy expendituredynamic body activityecological energeticsenergy budgetfield metabolic ratepredatory impact

Identifiers

PMID27069576
PMCPMC4782250

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.