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Dataset for "Expected Effects of a Global Transformation of Agricultural Pest Management"

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Important usage condition: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/XWSS9W
Published version
2.0
Publication date
2025-10-29
License
CC BY 4.0

Description

The here presented dataset provides information on expected effects of a global transformation of agricultural pest management from an online survey conducted in 2022 with 517 senior scientific experts from key agricultural regions and disciplines. The assessment framework covers 24 indicators in the economic, human health, food security, social, and environmental domains. It is anonymized. It further contains information on respondent characteristics and co-variates for the socio-economic and environmental state of the assessed regions from literature. The data was collected in 2022 with an online survey in Limesurvey. The data was collected to assess expected effects of a global transformation to pest management with zero or minimal pesticide use. This is a pressing challenge in global agriculture and relates to national and global policy targets on pesticide reduction. This is an updated version of the data. We encountered a coding error in the anonymization of the non-anonymous data for our analysis in Möhring et al. (2025). Due to the coding error, duplicates of entries with identical geographic coordinates were introduced in the data. This reduces the sample size from 517 to 473. We did not recognize this earlier since it happened in the anonymization step before the analysis. We re-run all analyses and conclusions were not affected.

Creators

Keywords

Crop protection, Sustainable, Transformation, Global, Survey

Files

Before downloading: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
Mohring_etal_data_replication_updated.csvtext/csv225336MD5 04eb47e4f15b4c534668cc4c3aa338af
Readme_Moehring_Eff-Glob-Trans-Agricult-Pest-Man.txttext/plain10547MD5 0bd714840a094e83c794475e8c44f8d2
Codebook_Moehring_Eff-Glob-Trans-Agricult-Pest-Man.csvtext/csv11969MD5 c1b84f6b395cbbfd7915ac084037bf1e
Results_updated_overview.pdfapplication/pdf117712MD5 13e40df886ebefefa448167a8adee099

Citation

Möhring, Niklas; Ba, Malick; Braga, Anna; Gaba, Sabrina; Gagic, Vesna; Kudsk, Per; Larsen, Ashley; Mesnage, Robin; Niggli, Urs; Qaim, Matin; Schreinemachers, Pepijn; Stamm, Christian; de Vries, Wim; Finger, Robert, 2025-10-29, Dataset for "Expected Effects of a Global Transformation of Agricultural Pest Management", doi:10.60507/FK2/XWSS9W, V2.0

Additional Dataverse fields

Id662
Dataset Typedataset
Internal Version Number8
Latest Version Publishing StateRELEASED
Release Time2026-04-13T10:48:21Z
Create Time2026-03-18T14:54:43Z
Citation Date2025-10-29
File Access RequestTrue

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Citation Metadata

Title title
Dataset for "Expected Effects of a Global Transformation of Agricultural Pest Management"
Author author
  1. Author Name
    Möhring, Niklas
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
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    Multiple
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    https://orcid.org/0000-0003-0292-4402
    Expandedvalue
    Person Name
    Möhring, Niklas
    @id
    https://orcid.org/0000-0003-0292-4402
    Scheme
    ORCID
    @type
    https://schema.org/Person
  2. Author Name
    Ba, Malick
    Author Identifier Scheme
    ORCID
    Author Identifier
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    False
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    primitive
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    https://orcid.org/0000-0001-7323-8739
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    Person Name
    Ba, Malick
    @id
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    Scheme
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  3. Author Name
    Braga, Anna
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
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    Multiple
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    https://orcid.org/0000-0002-7052-0226
    Expandedvalue
    Person Name
    Braga, Anna
    @id
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    Scheme
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  4. Author Name
    Gaba, Sabrina
    Author Identifier Scheme
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    Author Identifier
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    Type Class
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    https://orcid.org/0000-0002-7145-6713
    Expandedvalue
    Person Name
    Gaba, Sabrina
    @id
    https://orcid.org/0000-0002-7145-6713
    Scheme
    ORCID
    @type
    https://schema.org/Person
  5. Author Name
    Gagic, Vesna
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
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    Value
    https://orcid.org/0000-0002-3214-7547
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    Person Name
    Gagic, Vesna
    @id
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  6. Author Name
    Kudsk, Per
    Author Identifier Scheme
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    Kudsk, Per
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  7. Author Name
    Larsen, Ashley
    Author Identifier Scheme
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    Person Name
    Larsen, Ashley
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    Scheme
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  8. Author Name
    Mesnage, Robin
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
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    False
    Type Class
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    Value
    https://orcid.org/0000-0003-1732-4741
    Expandedvalue
    Person Name
    Mesnage, Robin
    @id
    https://orcid.org/0000-0003-1732-4741
    Scheme
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  9. Author Name
    Niggli, Urs
  10. Author Name
    Qaim, Matin
    Author Identifier Scheme
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    Author Identifier
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    https://orcid.org/0000-0003-4143-0763
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    Person Name
    Qaim, Matin
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  11. Author Name
    Schreinemachers, Pepijn
    Author Identifier Scheme
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    Schreinemachers, Pepijn
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  12. Author Name
    Stamm, Christian
    Author Identifier Scheme
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    Person Name
    Stamm, Christian
    @id
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    Scheme
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  13. Author Name
    de Vries, Wim
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
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    Type Class
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    Value
    https://orcid.org/0000-0001-9974-0612
    Expandedvalue
    Person Name
    de Vries, Wim
    @id
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    Scheme
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  14. Author Name
    Finger, Robert
    Author Identifier Scheme
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    Author Identifier
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    Type Class
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    Value
    https://orcid.org/0000-0002-0634-5742
    Expandedvalue
    Person Name
    Finger, Robert
    @id
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    Scheme
    ORCID
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Dataset Contact datasetContact
  1. Dataset Contact Name
    Möhring, Niklas
    Dataset Contact Affiliation
    University of Bonn
    Dataset Contact Email
    mohring@uni-bonn.de
Ds Description dsDescription
  1. Ds Description Value
    The here presented dataset provides information on expected effects of a global transformation of agricultural pest management from an online survey conducted in 2022 with 517 senior scientific experts from key agricultural regions and disciplines. The assessment framework covers 24 indicators in the economic, human health, food security, social, and environmental domains. It is anonymized. It further contains information on respondent characteristics and co-variates for the socio-economic and environmental state of the assessed regions from literature. The data was collected in 2022 with an online survey in Limesurvey. The data was collected to assess expected effects of a global transformation to pest management with zero or minimal pesticide use. This is a pressing challenge in global agriculture and relates to national and global policy targets on pesticide reduction. This is an updated version of the data. We encountered a coding error in the anonymization of the non-anonymous data for our analysis in Möhring et al. (2025). Due to the coding error, duplicates of entries with identical geographic coordinates were introduced in the data. This reduces the sample size from 517 to 473. We did not recognize this earlier since it happened in the anonymization step before the analysis. We re-run all analyses and conclusions were not affected.
    Ds Description Date
    2025-10-26
Subject subject
  1. Agricultural Sciences
  2. Earth and Environmental Sciences
  3. Social Sciences
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    Crop protection
Free Keyword freeKeyword
  1. Free Keyword Value
    Crop protection
  2. Free Keyword Value
    Sustainable
  3. Free Keyword Value
    Transformation
  4. Free Keyword Value
    Global
  5. Free Keyword Value
    Survey
Publication publication
  1. Publication Relation Type
    IsSupplementTo
    Publication Citation
    Möhring, N., Ba, M. N., Braga, A., Gaba, S., Gagic, V., Kudsk, P., Larsen, A., Mesnage, R., Niggli, U., Qaim, M., Schreinemachers, P., Stamm, C., de Vries, W., Finger, R. (2025). Expected Effects of a Global Transformation of Agricultural Pest Management. Nature Communications, 16, 10901 (2025). https://doi.org/10.1038/s41467-025-66982-4
Language language
  1. English
Grant Number grantNumber
  1. Grant Number Agency
    Swiss National Science Foundation
    Grant Number Value
    IZSEZ0 209440
  2. Grant Number Agency
    INRAE
    Grant Number Value
    Metaprogram SuMCrop
  3. Grant Number Agency
    Fresh and Secure Trade Alliance
    Grant Number Value
    AM22000
  4. Grant Number Agency
    DFG
    Grant Number Value
    Excellence Strategy Grant EXC-2070-390732324-PhenoRob
Depositor depositor
Möhring, Niklas
Date Of Deposit dateOfDeposit
2025-10-26
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2022-03-20
    Date Of Collection End
    2022-10-20
Kind Of Data kindOfData
  1. Quantitative
  2. Survey data
Software software
  1. Software Name
    LimeSurvey Community Edition
    Software Version
    5.6.10+230313
Related Datasets relatedDatasets
  1. Möhring, Niklas; Ba, Malick; Braga, Anna; Gaba, Sabrina; Gagic, Vesna; Kudsk, Per; Larsen, Ashley; Mesnage, Robin; Niggli, Urs; Qaim, Matin; Schreinemachers, Pepijn; Stamm, Christian; de Vries, Wim; Finger, Robert, 2025, "Code of „Expected Effects of a Global Transformation of Agricultural Pest Management“", https://doi.org/10.60507/FK2/FE09XJ, bonndata
Data Sources dataSources
  1. Möhring, N., Ba, M. N., Braga, A., Gaba, S., Gagic, V., Kudsk, P., Larsen, A., Mesnage, R., Niggli, U., Qaim, M., Schreinemachers, P., Stamm, C., de Vries, W., Finger, R. (2025). Expected Effects of a Global Transformation of Agricultural Pest Management. Nature Communications (In Press). World Bank, 2022. https://data.worldbank.org/ (last accessed January, 13th, 2023). United Nations, 2022. https://hdr.undp.org/data-center (last accessed January, 17th, 2023). World in Data, 2022. https://ourworldindata.org/ (last accessed January, 17th, 2023). Tang, F. H., Lenzen, M., McBratney, A., & Maggi, F. (2021). Risk of pesticide pollution at the global scale. Nature Geoscience, 1-5. Oerke, E. C. (2006). Crop losses to pests. The Journal of Agricultural Science, 144, 31.

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