Ulrich Schlechtriemen

ORCID: 0000-0003-2233-0345
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About
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Research Areas
  • Agricultural safety and regulations
  • Genetically Modified Organisms Research
  • Pesticide Residue Analysis and Safety
  • Insect and Pesticide Research
  • Pesticide and Herbicide Environmental Studies
  • Insect Resistance and Genetics
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Species Distribution and Climate Change
  • Allergic Rhinitis and Sensitization
  • Plant and animal studies
  • Pesticide Exposure and Toxicity
  • Food Allergy and Anaphylaxis Research
  • Environmental Toxicology and Ecotoxicology
  • Insect and Arachnid Ecology and Behavior
  • Crop Yield and Soil Fertility
  • Agronomic Practices and Intercropping Systems
  • Atmospheric chemistry and aerosols
  • Environmental DNA in Biodiversity Studies

Feuerwehr Dortmund
2016

Abstract Background Tree bark measurements conducted between 2014 and 2017 in a biosphere reserve Germany have indicated the presence of pesticides from conventional agriculture ambient air. In present study, we quantified related substances air at 69 sites using passive samplers ventilation filter mats. It is, to our knowledge, so far most comprehensive data set on their products Germany. Results Samples were collected 2019 analysed for over 500 substances. One hundred nine (109) detected,...

10.1186/s12302-021-00553-4 article EN cc-by Environmental Sciences Europe 2021-10-07

Abstract Insect declines and biodiversity loss have attracted much attention in recent years, but lack of comprehensive data, conflicting interests among stakeholders insufficient policy guidance hinder progress preserving biodiversity. The project DINA (Diversity Insects Nature protected Areas) investigates insect communities 21 nature reserves Germany. All selected conservation sites border arable land, with agricultural practices assumed to influence populations. We taught citizen...

10.1007/s10531-021-02209-4 article EN cc-by Biodiversity and Conservation 2021-05-28

Risk assessment for GMOs such as Bt maize requires detailed data concerning pollen deposition onto non-target host-plant leaves. A field study of on lepidopteran leaves was therefore undertaken in 2009–2012 Germany. During the flowering period, we used situ microscopy at a spatial resolution adequate to monitor feeding behaviour butterfly larvae. The plant-specific were supplemented with standardised measurements release rates and obtained by volumetric monitors passive samplers. In 2010,...

10.1186/s12302-016-0082-9 article EN cc-by Environmental Sciences Europe 2016-04-26

To better understand the influence of land use and meteorological parameters on air pollutants, we deployed passive samplers in 15 regions with different eastern Austria. The consisted polyurethane PUF polyester PEF filter matrices, which were analyzed for 566 substances by gas-chromatography/mass-spectrometry. In a previous article, highlighted widespread contamination ambient pesticides that depends surrounding parameters. Here report that, addition to agricultural pesticides, eight other...

10.1016/j.scitotenv.2022.160643 article EN cc-by The Science of The Total Environment 2022-11-30

Maize is wind pollinated and produces huge amounts of pollen. In consequence, the Cry toxins expressed in pollen Bt maize will be dispersed by surrounding vegetation leading to exposure non-target organisms (NTO). NTO like lepidopteran larvae may affected uptake Bt-pollen deposited on their host plants. Although some information available estimate deposition plants, recorded data are based indirect measurements such as shaking or washing off pollen, removing with adhesive tapes. These...

10.3390/insects2010012 article EN cc-by Insects 2011-02-21

Abstract BackgroundTree bark measurements conducted between 2014 and 2017 in a biosphere reserve have indicated the presence of pesticides from conventional agriculture ambient air Germany. In present study, we quantified related substances at 69 sites using passive samplers ventilation filter mats. It is, to our knowledge, so far most comprehensive dataset on their products ResultsSamples were collected 2019 analysed for over 500 substances, which 109 detected, including 28 that are not...

10.21203/rs.3.rs-495444/v1 preprint EN cc-by Research Square (Research Square) 2021-05-11
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