Evidence map›Paper›PMID 35784057›Full record

ArticleEcology and evolution2022

Biological traits approaches in benthic marine ecology: Dead ends and new paths.

Silvia de Juan, Julie Bremner, Judi Hewitt, Anna Törnroos, Maria Cristina Mangano, Simon Thrush, Hilmar Hinz

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Probabilistic ecological risk assessment for deep-sea mining: A Bayesian network for Chatham Rise, Pacific Ocean.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. 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

7 authors.

Silvia de JuanInstituto Mediterraneo de Estudios Avanzados IMEDEA (CSIC-UIB) Esporles Islas Baleares Spain.ORCID https://orcid.org/0000-0002-8891-8371
Julie BremnerCentre for Environment Fisheries and Aquaculture Science Lowestoft England.ORCID https://orcid.org/0000-0002-7231-504X
Judi HewittDepartment of Statistics University of Auckland Auckland New Zealand.
Anna TörnroosEnvironmental and Marine Biology Faculty of Science and Engineering Åbo Akademi University Turku Finland.ORCID https://orcid.org/0000-0002-5790-2449
Maria Cristina ManganoDepartment of Integrative Marine Ecology (EMI) Stazione Zoologica Anton Dohrn Sicily Marine Centre Lungomare Cristoforo Colombo (complesso Roosevelt) Palermo Italy.ORCID https://orcid.org/0000-0001-6980-9834
Simon ThrushInstitute of Marine Science University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0002-4005-3882
Hilmar HinzInstituto Mediterraneo de Estudios Avanzados IMEDEA (CSIC-UIB) Esporles Islas Baleares Spain.ORCID https://orcid.org/0000-0003-4909-0089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological traits analysis (BTA) links community structure to both ecological functions and response to environmental drivers through species' attributes. In consequence, it has become a popular approach in marine benthic studies. However, BTA will reach a dead end if the scientific community does not acknowledge its current shortcomings and limitations: (a) uncertainties related to data origins and a lack of standardized reporting of trait information; (b) knowledge gaps on the role of multiple interacting traits on driving the organisms' responses to environmental variability; (c) knowledge gaps regarding the mechanistic links between traits and functions; (d) a weak focus on the spatial and temporal variability that is inherent to the trait expression of species; and, last but not least, (e) the large reliance on expert knowledge due to an enormous knowledge gap on the basic ecology of many benthic species. BTA will only reach its full potential if the scientific community is able to standardize and unify the reporting and storage of traits data and reconsider the importance of baseline observational and experimental studies to fill knowledge gaps on the mechanistic links between biological traits, functions, and environmental variability. This challenge could be assisted by embracing new technological advances in marine monitoring, such as underwater camera technology and artificial intelligence, and making use of advanced statistical approaches that consider the interactive nature and spatio-temporal variability of biological systems. The scientific community has to abandon some dead ends and explore new paths that will improve our understanding of individual species, traits, and the functioning of benthic ecosystems.

Indexed as

benthic communitiesecosystem functioneffects traitsresponse traitssoft‐bottomstraits‐based approaches

Identifiers

PMID35784057
PMCPMC9163796

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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.