Evidence map›Paper›PMID 36166755›Full record

ArticleEnvironmental science & technology2022

Spatial Control of Microbial Pesticide Degradation in Soil: A Model-Based Scenario Analysis.

Erik Schwarz, Swamini Khurana, Arjun Chakrawal, Luciana Chavez Rodriguez, Johannes Wirsching, Thilo Streck, Stefano Manzoni, Martin Thullner, Holger Pagel

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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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 4 institutions in 3 countries.

Erik SchwarzDepartment of Physical Geography, Stockholm University, 10691 Stockholm, Sweden.ORCID 0000-0001-8728-2730
Swamini KhuranaDepartment of Physical Geography, Stockholm University, 10691 Stockholm, Sweden.ORCID 0000-0003-4437-2394
Arjun ChakrawalDepartment of Physical Geography, Stockholm University, 10691 Stockholm, Sweden.ORCID 0000-0003-4572-4347
Luciana Chavez RodriguezInstitute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, 70599 Stuttgart, Germany.
Johannes WirschingInstitute of Soil Science and Land Evaluation, Soil Biology, University of Hohenheim, 70599 Stuttgart, Germany.
Thilo StreckInstitute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, 70599 Stuttgart, Germany.
Stefano ManzoniDepartment of Physical Geography, Stockholm University, 10691 Stockholm, Sweden.
Martin ThullnerDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research (UFZ), 04318 Leipzig, Germany.ORCID 0000-0001-9723-4601
Holger PagelInstitute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, 70599 Stuttgart, Germany.ORCID 0000-0003-2424-351X
University of Hohenheim · DEStockholm University · SEFederal Institute for Geosciences and Natural Resources · DEHelmholtz Centre for Environmental Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial pesticide degraders are heterogeneously distributed in soil. Their spatial aggregation at the millimeter scale reduces the frequency of degrader-pesticide encounter and can introduce transport limitations to pesticide degradation. We simulated reactive pesticide transport in soil to investigate the fate of the widely used herbicide 4-chloro-2-methylphenoxyacetic acid (MCPA) in response to differently aggregated distributions of degrading microbes. Four scenarios were defined covering millimeter scale heterogeneity from homogeneous (pseudo-1D) to extremely heterogeneous degrader distributions and two precipitation scenarios with either continuous light rain or heavy rain events. Leaching from subsoils did not occur in any scenario. Within the topsoil, increasing spatial heterogeneity of microbial degraders reduced macroscopic degradation rates, increased MCPA leaching, and prolonged the persistence of residual MCPA. In heterogeneous scenarios, pesticide degradation was limited by the spatial separation of degrader and pesticide, which was quantified by the spatial covariance between MCPA and degraders. Heavy rain events temporarily lifted these transport constraints in heterogeneous scenarios and increased degradation rates. Our results indicate that the mild millimeter scale spatial heterogeneity of degraders typical for arable topsoil will have negligible consequences for the fate of MCPA, but strong clustering of degraders can delay pesticide degradation.

Indexed as

2-Methyl-4-chlorophenoxyacetic AcidHerbicidesPesticidesSoil PollutantsSoilSoil Microbiology2-Methyl-4-chlorophenoxyacetic AcidHerbicidesPesticidesSoilSoil Pollutantspesticide fatereactive transport modelingscale transition theorysmall-scale heterogeneityspatial moment analysis

Identifiers

PMID36166755
PMCPMC9583605
OpenAlexW4297340684

What OpenQuestion holds

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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.