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Code of "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/FE09XJ
Published version
1.0
Publication date
2025-10-29
License
CC BY 4.0

Description

The here presented dataset provides code to replicate the analysis of Möhring et al. (2025) on expected effects of a global transformation of agricultural pest management based on 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. The code in R can be used to replicate results of the analysis.

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
Readme_Moehring_Code_Eff-Glob-Trans-Agricult-Pest-Man.txttext/plain10707MD5 ea405603fc96ff4bd847cc1a3c5ec9aa
Codebook_cords_local_experts.csvtext/csv269MD5 5667863d8af2ee061d10016418a992f8
Replication_Mohring et al_Code_R.txttext/plain82910MD5 ff72f5333d6b51a0efa038e08b35807b
spam2020V1r0_global_H_TA.csvtext/csv13010295MD5 67edee273e104a8b13f9ed15df3808e5
Codebook_spam2020V1r0_global_H_TA.csvtext/csv111MD5 e8e45fdce0069af29051c7766eaae9ab
cords_local_experts.csvtext/csv13071MD5 b7f2ce30e4031db1d1aed4f175af9113

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, Code of "Expected Effects of a Global Transformation of Agricultural Pest Management", doi:10.60507/FK2/FE09XJ, V1.0

Additional Dataverse fields

Id514
Dataset Typedataset
Internal Version Number16
Latest Version Publishing StateRELEASED
Release Time2025-10-29T09:10:39Z
Create Time2025-10-25T22:46:29Z
Citation Date2025-10-29
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
Code of "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
    0000-0003-0292-4402
  2. Author Name
    Ba, Malick
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0001-7323-8739
    Expandedvalue
    Person Name
    Ba, Malick
    @id
    https://orcid.org/0000-0001-7323-8739
    Scheme
    ORCID
    @type
    https://schema.org/Person
  3. Author Name
    Braga, Anna
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0002-7052-0226
    Expandedvalue
    Person Name
    Braga, Anna
    @id
    https://orcid.org/0000-0002-7052-0226
    Scheme
    ORCID
    @type
    https://schema.org/Person
  4. Author Name
    Gaba, Sabrina
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    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
    primitive
    Value
    https://orcid.org/0000-0002-3214-7547
    Expandedvalue
    Person Name
    Gagic, Vesna
    @id
    https://orcid.org/0000-0002-3214-7547
    Scheme
    ORCID
    @type
    https://schema.org/Person
  6. Author Name
    Kudsk, Per
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-2431-3610
    Expandedvalue
    Person Name
    Kudsk, Per
    @id
    https://orcid.org/0000-0003-2431-3610
    Scheme
    ORCID
    @type
    https://schema.org/Person
  7. Author Name
    Larsen, Ashley
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0001-7491-9245
    Expandedvalue
    Person Name
    Larsen, Ashley
    @id
    https://orcid.org/0000-0001-7491-9245
    Scheme
    ORCID
    @type
    https://schema.org/Person
  8. Author Name
    Mesnage, Robin
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-1732-4741
    Expandedvalue
    Person Name
    Mesnage, Robin
    @id
    https://orcid.org/0000-0003-1732-4741
    Scheme
    ORCID
    @type
    https://schema.org/Person
  9. Author Name
    Niggli, Urs
  10. Author Name
    Qaim, Matin
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-4143-0763
    Expandedvalue
    Person Name
    Qaim, Matin
    @id
    https://orcid.org/0000-0003-4143-0763
    Scheme
    ORCID
    @type
    https://schema.org/Person
  11. Author Name
    Schreinemachers, Pepijn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-1596-3179
    Expandedvalue
    Person Name
    Schreinemachers, Pepijn
    @id
    https://orcid.org/0000-0003-1596-3179
    Scheme
    ORCID
    @type
    https://schema.org/Person
  12. Author Name
    Stamm, Christian
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0001-5888-6535
    Expandedvalue
    Person Name
    Stamm, Christian
    @id
    https://orcid.org/0000-0001-5888-6535
    Scheme
    ORCID
    @type
    https://schema.org/Person
  13. Author Name
    de Vries, Wim
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0001-9974-0612
    Expandedvalue
    Person Name
    de Vries, Wim
    @id
    https://orcid.org/0000-0001-9974-0612
    Scheme
    ORCID
    @type
    https://schema.org/Person
  14. Author Name
    Finger, Robert
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0002-0634-5742
    Expandedvalue
    Person Name
    Finger, Robert
    @id
    https://orcid.org/0000-0002-0634-5742
    Scheme
    ORCID
    @type
    https://schema.org/Person
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 code to replicate the analysis of Möhring et al. (2025) on expected effects of a global transformation of agricultural pest management based on 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. The code in R can be used to replicate results of the analysis.
    Ds Description Date
    2025-10-26
Subject subject
  1. Agricultural Sciences
  2. Earth and Environmental Sciences
  3. Social Sciences
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
    R
    Software Version
    4.2.1
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, "Dataset for „Expected Effects of a Global Transformation of Agricultural Pest Management“", https://doi.org/10.60507/FK2/XWSS9W, 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). International Food Policy Research Institute (IFPRI), 2024, "Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0.0", https://doi.org/10.7910/DVN/SWPENT, Harvard Dataverse, V1.

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