Evidence map›Paper›PMID 41967129›Full record

ArticleEcology letters2026

Multiple Mechanisms Required to Predict Grass Community Composition.

Jane A Catford, Laura J Graham, Harry E R Shepherd, Cindy E Hauser, Nicola T Munro, Brendan A Wintle, John G Donohue, David Tilman, Adam T Clark

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology letters, 2026. 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. 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

9 authors.

Jane A CatfordDepartment of Geography, King's College London, London, UK.ORCID https://orcid.org/0000-0003-0582-5960
Laura J GrahamDepartment of Geography, King's College London, London, UK.ORCID https://orcid.org/0000-0002-3611-7281
Harry E R ShepherdDepartment of Geography, King's College London, London, UK.ORCID https://orcid.org/0000-0002-7077-3581
Cindy E HauserMelbourne Biodiversity Institute, School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0001-5876-0342
Nicola T MunroFenner School of Environment and Society, The Australian National University, Canberra, ACT, Australia.
Brendan A WintleMelbourne Biodiversity Institute, School of Agriculture, Food and Ecosystem Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0002-4234-5950
John G DonohueDepartment of Geography, King's College London, London, UK.ORCID https://orcid.org/0000-0002-6645-2697
David TilmanDepartment of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, Minnesota, USA.
Adam T ClarkDepartment of Biology, University of Graz, Graz, Austria.ORCID https://orcid.org/0000-0002-8843-3278

Funding

Australian Research Council DE120102221Australian Research Council FT240100278European Research Council 101002987King's College London.University of Minnesota
6 · The paper itself

Abstract

Accurate prediction of community assembly is a central goal in ecology but is challenging because assembly is governed by numerous mechanisms. Few theoretical models explicitly incorporate or test multiple mechanisms at once. We empirically tested the predictive performance of a plant community assembly model built using all possible combinations of four 'mechanisms' (soil resource competition, dispersal and colonisation, spatiotemporal niche differentiation, population growth rates) and 11 underlying 'attributes' based on measured traits (e.g., fecundity, phenology). The full model accurately predicted out-of-sample biomass observations of five grasses sown in mixture along a soil nitrogen gradient (overall R

Indexed as

BiodiversityModels, BiologicalPoaceaeBiomassGrasslandSoilSoilbiodiversity changecommunity assemblycommunity ecology theorygrassland experimentgrass speciesmechanistic niche modelmetacommunity dynamicsplant community compositionquantitative predictionsspecies coexistence

Identifiers

PMID41967129
PMCPMC13070581

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.