Evidence map›Paper›PMID 33520468›Full record

ArticlePeerJ2021

KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models-II: model description, implementation and testing.

Omar Flores, Gaby Deckmyn, Jorge Curiel Yuste, Mathieu Javaux, Alexei Uvarov, Sietse van der Linde, Bruno De Vos, Harry Vereecken, Juan Jiménez, Olga Vinduskova and 1 more

Abstract read
In one paragraph

Article in PeerJ, 2021. 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
–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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Omar Flores *Biogeography and Global Change, National Museum of Natural Sciences, Consejo Superior de Investigaciones Científicas, Madrid, Spain.ORCID 0000-0003-2760-3015
Gaby Deckmyn *PLECO, Department of Biology, Universiteit Antwerpen, Antwerp, Belgium.ORCID 0000-0003-3794-7735
Jorge Curiel YusteBC3-Basque Centre for Climate Change, Leioa, Spain.ORCID 0000-0002-3221-6960
Mathieu JavauxEarth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.ORCID 0000-0002-6168-5467
Alexei UvarovLaboratory of Soil Zoology, A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia.
Sietse van der LindeForest Research, Farnham, UK.
Bruno De VosDepartment of Environment and Climate, Research Institute for Nature and Forest, Brussels, Belgium.ORCID 0000-0001-9523-3453
Harry VereeckenAgrosphere Institute (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0000-0002-8051-8517
Juan JiménezInstituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas, Jaca, Spain.
Olga VinduskovaPLECO, Department of Biology, Universiteit Antwerpen, Antwerp, Belgium.ORCID 0000-0002-7060-2459
Andrea SchnepfAgrosphere Institute (IBG-3), Forschungszentrum Jülich GmbH, Jülich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New knowledge on soil structure highlights its importance for hydrology and soil organic matter (SOM) stabilization, which however remains neglected in many wide used models. We present here a new model, KEYLINK, in which soil structure is integrated with the existing concepts on SOM pools, and elements from food web models, that is, those from direct trophic interactions among soil organisms. KEYLINK is, therefore, an attempt to integrate soil functional diversity and food webs in predictions of soil carbon (C) and soil water balances. We present a selection of equations that can be used for most models as well as basic parameter intervals, for example, key pools, functional groups' biomasses and growth rates. Parameter distributions can be determined with Bayesian calibration, and here an example is presented for food web growth rate parameters for a pine forest in Belgium. We show how these added equations can improve the functioning of the model in describing known phenomena. For this, five test cases are given as simulation examples: changing the input litter quality (recalcitrance and carbon to nitrogen ratio), excluding predators, increasing pH and changing initial soil porosity. These results overall show how KEYLINK is able to simulate the known effects of these parameters and can simulate the linked effects of biopore formation, hydrology and aggregation on soil functioning. Furthermore, the results show an important trophic cascade effect of predation on the complete C cycle with repercussions on the soil structure as ecosystem engineers are predated, and on SOM turnover when predation on fungivore and bacterivore populations are reduced. In summary, KEYLINK shows how soil functional diversity and trophic organization and their role in C and water cycling in soils should be considered in order to improve our predictions on C sequestration and C emissions from soils.

Indexed as

Ecosystem engineeringEcosystem modelsGrowth ratesHydrologyPredator exclusionSoil food webSoil matrixSoil organic matterSoil structureTrophic cascades

Identifiers

PMID33520468
PMCPMC7812927

What OpenQuestion holds

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LicenceCC BY
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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.