Evidence map›Paper›PMID 40890182›Full record

ArticleScientific reports2025

The ecosystem traits index is proposed as a composite index of ecosystem robustness for use in marine resource management.

E A Fulton, K Sainsbury

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Stress and resilience in northern European marine ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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

2 authors.

E A FultonCSIRO Environment, Hobart, TAS, Australia. beth.fulton@csiro.au.
K SainsburyCentre for Marine Socioecology, University of Tasmania, Hobart, Australia.

Funding

Lenfest Ocean Program 00030061
6 · The paper itself

Abstract

Ecosystem structure and function are seldom represented in ecological indicators used for resource management and conservation, despite their central position in stated objectives of international agreements and national policy on maintaining and conserving global ecosystems. Network theory provides capacity to change this situation. Inspired by the use of composite indicators in emergency warning, planning systems and in network analyses in many other applications, we show that a small suite of network-based indicators can provide a practical basis for measuring ecosystem structure in fisheries management. We suggest an Ecosystem Traits Index (ETI) that provides a rating of the combined ecosystem state and structural integrity. This index combines information captured by: the Hub index, which identifies species critical to system function; Gao's resilience score, which provides a measure of system resilience due to the density of connections and flow patterns in the ecosystem's food web; and the "Green Band" index (which measures pressure on ecosystem structure due to the mortality from human activities such as harvesting). Applying these indices to marine ecosystems of very different types showed that the combination of indicators is informative in each case and that each ecosystem's unique state results from fishing pressure, environmental change, and inherent ecosystem structural robustness. Simulation-based tests demonstrated the indicators rapidly respond to, and consistently reflect, ecosystem state changes across marine ecosystem types, though they cannot distinguish the effects of individual stressors such as fishing mortality, habitat modification, climate or other environmental changes. We have focused on fisheries because fishery indicators should, in principle, have utility across any form of marine ecosystem pressure.

Indexed as

Conservation of Natural ResourcesEcosystemAnimalsAquatic OrganismsFisheries

Identifiers

PMID40890182
PMCPMC12402227

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.