Evidence map›Paper›PMID 42416317›Full record

ArticleEcology and evolution2026

Plant-Trait Syndromes and Environmental Filtering Drive Biomass Ecology in Resource-Limited Forest Ecosystems.

Shahab Ali, Shujaul Mulk Khan, Henrik Balslev, David P Edwards

Abstract read
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. 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

4 authors.

Shahab AliDepartment of Plant Sciences and Centre for Global Wood Security University of Cambridge Cambridge UK.ORCID https://orcid.org/0000-0002-0255-6251
Shujaul Mulk KhanDepartment of Plant Sciences Quaid-i-Azam University Islamabad Pakistan.
Henrik BalslevDepartment of Biology - Ecoinformatics and Biodiversity Aarhus University Denmark.
David P EdwardsDepartment of Plant Sciences and Centre for Global Wood Security University of Cambridge Cambridge UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanisms driving aboveground biomass (AGB) variation in forest ecosystems is essential for biodiversity conservation and climate-change mitigation, particularly in environmentally heterogeneous and resource-limited regions. Drawing on community assembly theory and trait-based ecology, this study examines how functional dominance and functional diversity interact with soil fertility and climate to regulate AGB across deciduous, evergreen, and mixed forest stands in Pakistan. Using a combination of generalized linear modeling and machine-learning approaches, we found that AGB is primarily structured by functional dominance, with soil fertility exerting an additional but secondary influence. Climatic factors generally constrained biomass accumulation, although their importance varied among forest stand types. Functional diversity played a comparatively minor role. Forest stand type further modulated these relationships, with mixed forests supporting higher biomass and exhibiting the strongest influence of dominant functional traits, while climate effects were more pronounced in evergreen forests and negligible in mixed stands. Overall, our findings indicate that in resource-limited forest ecosystems, biomass accumulation is governed more by the dominance of particular functional strategies and soil resource availability than by functional diversity or climate alone. Integrating plant functional traits and soil conditions into forest management and restoration strategies may therefore enhance biomass productivity and carbon sequestration in heterogeneous landscapes.

Indexed as

climatedeciduousEvergreenfunctional diversityfunctional dominancemixedsoil

Identifiers

PMID42416317
PMCPMC13341152

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.