Evidence map›Paper›PMID 39829292›Full record

ArticleEcology letters2025

Trees First Inhibit Then Promote Litter Decomposition in the Subarctic.

Micael Jonsson, Karina E Clemmensen, Carles Castaño, Thomas C Parker

Abstract read
In one paragraph

Article in Ecology letters, 2025. 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

4 authors.

Micael JonssonDepartment of Ecology and Environmental Science, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-1618-2617
Karina E ClemmensenDepartment of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala BioCenter, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-9627-6428
Carles CastañoDepartment of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala BioCenter, Uppsala, Sweden.
Thomas C ParkerBiological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, UK.

Funding

Natural Environment Research Council NE/P002722/1Natural Environment Research Council NE/P002722/2Natural Environment Research Council NE/X015076/1
6 · The paper itself

Abstract

Trees affect organic matter decomposition through allocation of recently fixed carbon belowground, but the magnitude and direction of this effect may depend on substrate type and decomposition stage. Here, we followed mass loss, chemical composition and fungal colonisation of leaf and root litters incubated in mountain birch forests over 4 years, in plots where belowground carbon allocation was severed by tree girdling or in control plots. Initially, girdling stimulated leaf and root litter mass loss by 12% and 22%, respectively, suggesting competitive release of saprotrophic decomposition when tree-mediated competition by ectomycorrhizal fungi was eliminated (Gadgil effect). After 4 years, girdling instead hampered mass loss of root litter by 30%, suggesting late-stage priming of decomposition in the presence of trees, in parallel with increased growth of shrubs and associated fungi following tree elimination. Hence, different mechanisms driving early- and late-stage litter decomposition should be considered in climate-feedback evaluations of plant-soil interactions.

Indexed as

BetulaPlant LeavesTreesCarbonForestsMycorrhizaePlant RootsSoilSoil MicrobiologyCarbonSoilectomycorrhizal fungiericaceous shrubsGadgil effectleaf littermountain birchprimingroot littersaprophytic fungitreelinetundra

Identifiers

PMID39829292
PMCPMC11744340

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.