Evidence map›Paper›PMID 41716591›Full record

ArticleEcology and evolution2026

New Method for Quantification of Phenotypic Plasticity Reveals How Plasticity Changes Over Time in the Diatom

Lilian Hoch, Andrei Herdean, Stephen Woodcock, Kittikun Songsomboon, Breanna Osborne, Peter J Ralph

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Lilian HochClimate Change Cluster University of Technology Sydney Ultimo New South Wales Australia.ORCID https://orcid.org/0000-0002-4823-9745
Andrei HerdeanClimate Change Cluster University of Technology Sydney Ultimo New South Wales Australia.ORCID https://orcid.org/0000-0003-2143-0213
Stephen WoodcockSchool of Mathematical and Physical Sciences University of Technology Sydney Ultimo New South Wales Australia.ORCID https://orcid.org/0000-0003-4903-3164
Kittikun SongsomboonClimate Change Cluster University of Technology Sydney Ultimo New South Wales Australia.ORCID https://orcid.org/0000-0002-3189-2318
Breanna OsborneClimate Change Cluster University of Technology Sydney Ultimo New South Wales Australia.ORCID https://orcid.org/0009-0005-9236-5596
Peter J RalphClimate Change Cluster University of Technology Sydney Ultimo New South Wales Australia.ORCID https://orcid.org/0000-0002-3103-7346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying phenotypic plasticity, the capacity of organisms to adjust phenotypes in response to environmental changes, is essential for understanding ecological and physiological resilience under climate stress. However, existing methods often lack flexibility and precision, especially under multi-dimensional environmental conditions. Here, we introduce a novel statistical approach, the Environmentally Standardized Plasticity Index (*ESPI), which integrates Hedges'

Indexed as

diatomsphenomicsphenotypic plasticityphotobiologytrait‐based ecology

Identifiers

PMID41716591
PMCPMC12912934

What Socratic 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 Socratic graph.