Evidence map›Paper›PMID 32974092›Full record

ArticlePeerJ2020

KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models. I. review and model concept.

Gaby Deckmyn, Omar Flores, Mathias Mayer, Xavier Domene, Andrea Schnepf, Katrin Kuka, Kris Van Looy, Daniel P Rasse, Maria J I Briones, Sébastien Barot and 18 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

28 authors at 20 institutions in 15 countries.

Gaby DeckmynDepartment of Biology, Plants and Ecosystems (PLECO), Universiteit Antwerpen, Antwerpen, Belgium.ORCID 0000-0003-3794-7735
Omar FloresDepartment of Biology, Plants and Ecosystems (PLECO), Universiteit Antwerpen, Antwerpen, Belgium.ORCID 0000-0003-2760-3015
Mathias MayerInstitute of Forest Ecology, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria.ORCID 0000-0003-4366-9188
Xavier DomeneCREAF, Cerdanyola del Vallès, Spain.
Andrea SchnepfAgrosphere Institute, IBG, Forschungszentrum Jülich GmbH, Jülich, Germany.
Katrin KukaInstitute for Crop and Soil Science, Julius Kühn-Institut (JKI), Braunschwei, Germany.
Kris Van LooyOVAM, Flemish Institute for Materials and Soils, Mechelen, Belgium.ORCID 0000-0001-5436-2320
Daniel P RasseDepartment of Biogeochemistry and Soil Quality, Norwegian Institute of Bioeconomy Research (NIBIO), Aas, Norway.ORCID 0000-0002-5977-3863
Maria J I BrionesDepartamento de Ecología y Biología Animal, Universidad de Vigo, Vigo, Spain.
Sébastien BarotInstitute of Ecology and Environmental Sciences, IRD, UPEC, CNRS, INRA, Sorbonne Université, Paris, France.
Matty BergDepartment of Ecological Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0001-8442-8503
Elena VanguelovaForest Research, Alice Holt Lodge, Farnham, UK.
Ivika OstonenInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.ORCID 0000-0001-9043-6083
Harry VereeckenAgrosphere Institute, IBG, Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0000-0002-8051-8517
Laura M SuzComparative Plant and Fungal Biology, Royal Botanic Gardens, Kew, London, UK.ORCID 0000-0003-4742-572X
Beat FreyForest Soils and Biogeochemistry, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Aline FrossardForest Soils and Biogeochemistry, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.ORCID 0000-0003-1699-6220
Alexei TiunovA.N. Severtsov Institute of Ecology and Evolution RAS, Moscow, Russia.
Jan FrouzInstitute for Environmental Studies, Charles University, Prague, Czech Republic.
Tine GrebencSlovenian Forestry Institute, Ljubljana, Slovenia.ORCID 0000-0003-4035-8587
Maarja ÖpikInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.
Mathieu JavauxAgrosphere Institute, IBG, Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0000-0002-6168-5467
Alexei UvarovA.N. Severtsov Institute of Ecology and Evolution RAS, Moscow, Russia.
Olga VinduškováDepartment of Biology, Plants and Ecosystems (PLECO), Universiteit Antwerpen, Antwerpen, Belgium.ORCID 0000-0002-7060-2459
Paul Henning KroghDepartment of Bioscience, Aarhus University, Silkeborg, Denmark.ORCID 0000-0003-2033-553X
Oskar FranklinDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.
Juan JiménezDepartment of Biodiversity Conservation and Ecosystem Restoration, ARAID/IPE-CSIC, Jaca, Spain.
Jorge Curiel YusteBC3-Basque Centre for Climate Change, Scientific Campus of the University of the Basque Country, Bilbao, Bizkaia, Spain.ORCID 0000-0002-3221-6960
Forschungszentrum Jülich · DESwiss Federal Institute for Forest, Snow and Landscape Research · CHSevertsov Institute of Ecology and Evolution · RUUniversity of Antwerp · BEUniversity of Tartu · EEAarhus University · DKCentre National de la Recherche Scientifique · FRCharles University · CZConsejo Superior de Investigaciones Científicas · ESEcosystem (Spain) · ESFlemish Institute for Technological Research · BEForest Research · GBIkerbasque · ESInternational Institute for Applied Systems Analysis · ATJulius Kühn-Institut · DENorwegian Institute of Bioeconomy Research · NORoyal Botanic Gardens, Kew · GBSlovenian Forestry Institute · SIUniversidade de Vigo · ESUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relatively poor simulation of the below-ground processes is a severe drawback for many ecosystem models, especially when predicting responses to climate change and management. For a meaningful estimation of ecosystem production and the cycling of water, energy, nutrients and carbon, the integration of soil processes and the exchanges at the surface is crucial. It is increasingly recognized that soil biota play an important role in soil organic carbon and nutrient cycling, shaping soil structure and hydrological properties through their activity, and in water and nutrient uptake by plants through mycorrhizal processes. In this article, we review the main soil biological actors (microbiota, fauna and roots) and their effects on soil functioning. We review to what extent they have been included in soil models and propose which of them could be included in ecosystem models. We show that the model representation of the soil food web, the impact of soil ecosystem engineers on soil structure and the related effects on hydrology and soil organic matter (SOM) stabilization are key issues in improving ecosystem-scale soil representation in models. Finally, we describe a new core model concept (KEYLINK) that integrates insights from SOM models, structural models and food web models to simulate the living soil at an ecosystem scale.

Indexed as

EcosystemHydrologyModelPore size distribution (PSD)Soil biotaSoil faunaSoil organic matter (SOM)

Identifiers

PMID32974092
PMCPMC7486829
OpenAlexW3083969017

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.