Evidence map›Paper›PMID 28058804›Full record

ArticlePest management science2017

Pesticide exposure assessment for surface waters in the EU. Part 2: Determination of statistically based run-off and drainage scenarios for Germany.

Martin Bach, Mirjam Diesner, Dietlinde Großmann, Djamal Guerniche, Udo Hommen, Michael Klein, Roland Kubiak, Alexandra Müller, Thomas G Preuss, Jan Priegnitz and 3 more

Abstract read
In one paragraph

Article in Pest management science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

13 authors.

Martin BachInstitute of Landscape Ecology and Resources Management, Giessen University, Germany.
Mirjam DiesnerGerman Federal Environment Agency (UBA), Dessau, Germany.
Dietlinde GroßmannGerman Federal Environment Agency (UBA), Dessau, Germany.
Djamal GuernicheInstitute of AgroEcology, RLP AgroScience, Neustadt/Weinstraße, Germany.
Udo HommenFraunhofer Institute of Molecular Biology and Applied Ecology, Schmallenberg, Germany.
Michael KleinFraunhofer Institute of Molecular Biology and Applied Ecology, Schmallenberg, Germany.
Roland KubiakInstitute of AgroEcology, RLP AgroScience, Neustadt/Weinstraße, Germany.
Alexandra MüllerGerman Federal Environment Agency (UBA), Dessau, Germany.
Thomas G PreussRWTH Aachen University, Aachen, Germany.
Jan PriegnitzGerman Federal Environment Agency (UBA), Dessau, Germany.
Stefan ReichenbergerFootways S.A.S., Orléans Cedex 2, France.
Kai ThomasInstitute of AgroEcology, RLP AgroScience, Neustadt/Weinstraße, Germany.
Matthias TrappInstitute of AgroEcology, RLP AgroScience, Neustadt/Weinstraße, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to assess surface water exposure to active substances of plant protection products (PPPs) in the European Union (EU), the FOCUS (FOrum for the Co-ordination of pesticide fate models and their USe) surface water workgroup introduced four run-off and six drainage scenarios for Step 3 of the tiered FOCUSsw approach. These scenarios may not necessarily represent realistic worst-case situations for the different Member States of the EU. Hence, the suitability of the scenarios for risk assessment in the national authorisation procedures is not known.

resultsUsing Germany as an example, the paper illustrates how national soil-climate scenarios can be developed to model entries of active substances into surface waters from run-off and erosion (using the model PRZM) and from drainage (using the model MACRO). In the authorisation procedure for PPPs on Member State level, such soil-climate scenarios can be used to determine exposure endpoints with a defined overall percentile.

conclusionThe approach allows the development of national specific soil-climate scenarios and to calculate percentile-based exposure endpoints. The scenarios have been integrated into a software tool analogous to FOCUS-SWASH which can be used in the future to assess surface water exposure in authorisation procedures of PPPs in Germany. © 2017 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Statistics as TopicClimateEnvironmental MonitoringGermanyPesticidesWater Pollutants, ChemicalPesticidesWater Pollutants, Chemicaldrainageerosionexposure assessmentGERDArun-offsurface water

Identifiers

PMID28058804
PMCPMC5396381

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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.