Evidence map›Paper›PMID 31871642›Full record

ArticleEcology and evolution2019

Percent ash-free dry weight as a robust method to estimate energy density across taxa.

Jacob Weil, Marc Trudel, Strahan Tucker, Richard D Brodeur, Francis Juanes

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Jacob WeilDepartment of Biology University of Victoria Victoria BC Canada.ORCID https://orcid.org/0000-0001-8977-4245
Marc TrudelDepartment of Biology University of Victoria Victoria BC Canada.ORCID https://orcid.org/0000-0002-3397-1642
Strahan TuckerPacific Biological Station Fisheries and Oceans Canada Nanaimo BC Canada.ORCID https://orcid.org/0000-0001-9690-2639
Richard D BrodeurNational Marine Fisheries Service Northwest Fisheries Science Center, NOAA Newport OR USA.ORCID https://orcid.org/0000-0002-6629-5564
Francis JuanesDepartment of Biology University of Victoria Victoria BC Canada.ORCID https://orcid.org/0000-0001-7397-0014
Fisheries and Oceans Canada · CAUniversity of Victoria · CANOAA National Marine Fisheries Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining how energy flows through ecosystems reveals underlying ecological patterns that drive processes such as growth and food web dynamics. Models that assess the transfer of energy from producers to consumers require information on the energy content or energy density (ED) of prey species. ED is most accurately measured through bomb calorimetry, but this method suffers from limitations of cost, time, and sample requirements that often make it unrealistic for many studies. Percent dry weight (DW) is typically used as a proxy for ED, but this measure includes an indigestible portion (e.g., bones, shell, salt) that can vary widely among organisms. Further, several distinct models exist for various taxonomic groups, yet none can accurately estimate invertebrate, vertebrate and plant ED with a single equation. Here, we present a novel method to estimate the ED of organisms using percent ash-free dry weight (AFDW). Using data obtained from 11 studies diverse in geographic, temporal and taxonomic scope, AFDW, DW as well as percent protein and percent lipid were compared as predictors of ED. Linear models were produced on a logarithmic scale, including dummy variables for broad taxonomic groups. AFDW was the superior predictor of ED compared to DW, percent protein content and percent lipid content. Model selection revealed that using correction factors (dummy variables) for aquatic animals (AA) and terrestrial invertebrates (TI) produced the best-supported model-log

Indexed as

bioenergeticsdiet analysisdry weightenergy densityfood webspercent ash‐free dry weightpredictive modelwater content

Identifiers

PMID31871642
PMCPMC6912885
OpenAlexW2989938926

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.