Evidence map›Paper›PMID 38849444›Full record

ArticleScientific reports2024

Nitrogen and potassium limit fine root growth in a humid Afrotropical forest.

Raphael Manu, Edzo Veldkamp, David Eryenyu, Marife D Corre, Oliver van Straaten

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

5 authors.

Raphael ManuDepartment of Soil Science of Tropical and Subtropical Ecosystems, University of Göttingen, Göttingen, Germany. raphael.manu@uni-goettingen.de.
Edzo VeldkampDepartment of Soil Science of Tropical and Subtropical Ecosystems, University of Göttingen, Göttingen, Germany.
David EryenyuBudongo Conservation Field Station, Masindi, Uganda.
Marife D CorreDepartment of Soil Science of Tropical and Subtropical Ecosystems, University of Göttingen, Göttingen, Germany.
Oliver van StraatenNorthwest German Forest Research Institute, Göttingen, Germany.

Funding

Deutsche Forschungsgemeinschaft STR 1375/1-1
6 · The paper itself

Abstract

Nutrient limitations play a key regulatory role in plant growth, thereby affecting ecosystem productivity and carbon uptake. Experimental observations identifying the most limiting nutrients are lacking, particularly in Afrotropical forests. We conducted an ecosystem-scale, full factorial nitrogen (N)-phosphorus (P)-potassium (K) addition experiment consisting 32 40 × 40 m plots (eight treatments × four replicates) in Uganda to investigate which (if any) nutrient limits fine root growth. After two years of observations, added N rapidly decreased fine root biomass by up to 36% in the first and second years of the experiment. Added K decreased fine root biomass by 27% and fine root production by 30% in the second year. These rapid reductions in fine root growth highlight a scaled-back carbon investment in the costly maintenance of large fine root network as N and K limitations become alleviated. No fine root growth response to P addition was observed. Fine root turnover rate was not significantly affected by nutrient additions but tended to be higher in N added than non-N added treatments. These results suggest that N and K availability may restrict the ecosystem's capacity for CO

Indexed as

ForestsNitrogenPlant RootsPotassiumBiomassCarbon DioxideEcosystemPhosphorusTropical ClimateUgandaCarbon DioxideNitrogenPhosphorusPotassiumBiogeochemistryBudongo ForestLixisolsNutrient limitationsNutrient manipulation experimentUganda

Identifiers

PMID38849444
PMCPMC11161472

What OpenQuestion holds

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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.