Evidence map›Paper›PMID 31654107›Full record

ArticleMicrobial ecology2020

Food Web Uncertainties Influence Predictions of Climate Change Effects on Soil Carbon Sequestration in Heathlands.

Wouter Reyns, Francois Rineau, Jürg W Spaak, Oscar Franken, Matty P Berg, Fons Van Der Plas, Richard D Bardgett, Natalie Beenaerts, Frederik De Laender

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2020. 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
0.8field-weighted citation impact, top 24% of its field
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, 8 citations in OpenAlex.

  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 at 6 institutions in 4 countries.

Wouter ReynsEnvironmental Biology Research Group, Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium. wouter.reyns@uhasselt.be.ORCID http://orcid.org/0000-0002-6028-7360
Francois RineauEnvironmental Biology Research Group, Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium.ORCID http://orcid.org/0000-0002-5135-6184
Jürg W SpaakResearch Unit of Environmental and Evolutionary Biology, Namur Institute of Complex Systems, and Institute of Life, Earth, and the Environment, University of Namur, Namur, Belgium.ORCID http://orcid.org/0000-0001-5157-9188
Oscar FrankenSection of Animal Ecology, Department of Ecological Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081, HV, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8361-3117
Matty P BergSection of Animal Ecology, Department of Ecological Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081, HV, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8442-8503
Fons Van Der PlasSenckenberg Gesellschaft für Naturforschung, Biodiversity and Climate Research Centre, Senckenberganlage 25, 60325, Frankfurt, Germany.ORCID http://orcid.org/0000-0003-4680-543X
Richard D BardgettDepartment of Earth and Environmental Sciences, Michael Smith Building, The University of Manchester, M13 9PT, Manchester, UK.ORCID http://orcid.org/0000-0002-5131-0127
Natalie BeenaertsEnvironmental Biology Research Group, Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium.
Frederik De LaenderResearch Unit of Environmental and Evolutionary Biology, Namur Institute of Complex Systems, and Institute of Life, Earth, and the Environment, University of Namur, Namur, Belgium.ORCID http://orcid.org/0000-0002-4060-973X
University of Namur · BEHasselt University · BESenckenberg - Leibniz Institution for Biodiversity and Earth System Research · DEUniversity of Groningen · NLUniversity of Manchester · GBVrije Universiteit Amsterdam · NL

Funding

Bijzonder Onderzoeksfonds BOF15DOCNA02
6 · The paper itself

Abstract

Carbon cycling models consider soil carbon sequestration a key process for climate change mitigation. However, these models mostly focus on abiotic soil processes and, despite its recognized critical mechanistic role, do not explicitly include interacting soil organisms. Here, we use a literature study to show that even a relatively simple soil community (heathland soils) contains large uncertainties in temporal and spatial food web structure. Next, we used a Lotka-Volterra-based food web model to demonstrate that, due to these uncertainties, climate change can either increase or decrease soil carbon sequestration to varying extents. Both the strength and direction of changes strongly depend on (1) the main consumer's (enchytraeid worms) feeding preferences and (2) whether decomposers (fungi) or enchytraeid worms are more sensitive to stress. Hence, even for a soil community with a few dominant functional groups and a simulation model with a few parameters, filling these knowledge gaps is a critical first step towards the explicit integration of soil food web dynamics into carbon cycling models in order to better assess the role soils play in climate change mitigation.

Indexed as

Carbon CycleCarbon SequestrationClimate ChangeEcosystemFood ChainModels, BiologicalSoilSoil MicrobiologySoilClimate changeFood webHeathlandsModellingSoil carbon sequestrationStress

Identifiers

PMID31654107
OpenAlexW2981828787

What OpenQuestion holds

Textmetadata
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.