Evidence map›Paper›PMID 40977897›Full record

ArticleConservation physiology2025

Geometric stoichiometry model yields relevant insights for assessing nutrient-related environmental impacts of aquaculture.

Sowdamini Sesha Prasad, Duncan D Cameron, Chris G Carter, Andrea Williamson, Julia L Blanchard

Abstract read
In one paragraph

Article in Conservation physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sowdamini Sesha PrasadInstitute for Marine and Antarctic Studies (IMAS), University of Tasmania  Private Bag 129, Hobart, Tasmania 7001, Australia.ORCID https://orcid.org/0000-0002-6422-2214
Duncan D CameronDepartment of Earth and Environmental Sciences and Manchester Institute of Biotechnology, The University of Manchester, John Garside Building, 131 Princess Street, Manchester M1 7DN, United Kingdom.
Chris G CarterInstitute for Marine and Antarctic Studies (IMAS), University of Tasmania  Private Bag 129, Hobart, Tasmania 7001, Australia.
Andrea WilliamsonInstitute for Marine and Antarctic Studies (IMAS), University of Tasmania  Private Bag 129, Hobart, Tasmania 7001, Australia.
Julia L BlanchardInstitute for Marine and Antarctic Studies (IMAS), University of Tasmania  Private Bag 129, Hobart, Tasmania 7001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquaculture plays a crucial role in global food security and is being increasingly used to aid species and ecosystem conservation. However, concerns over environmental impact of aquaculture expansion are driving research into ecosystem approaches to aquaculture. Ecosystem approaches to aquaculture require understanding of the relationship between aquafeeds and aquaculture species to maximize consumer growth, quantify elemental flow of nutrients and minimize waste output. Conventional bioenergetic models typically assume fixed elemental ratios to quantify metabolic processes and do not consider an organism's nutrient demand. A new bridging framework, Geometric Stoichiometry (GS), unifies nutritional geometry and ecological stoichiometry disciplines using macromolecules as currencies and dietary regulation to balance nutrient deficits and excesses by the consumer. We present the first application of the GS framework to aquaculture by investigating how different formulated feed ingredients affect intakes to maintain C:N homeostasis, growth and waste output using three opportunistic datasets for an emerging aquaculture species, slipper lobster (

Indexed as

Aquacultureaquaculture modelsecosystem modelseutrophicationfood securityglobal food change

Identifiers

PMID40977897
PMCPMC12448620

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.