Code of "Expected Effects of a Global Transformation of Agricultural Pest Management"doi:10.60507/FK2/FE09XJbonndata2025-10-291Möhring, 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, V1Code of "Expected Effects of a Global Transformation of Agricultural Pest Management"doi:10.60507/FK2/FE09XJMöhring, NiklasBa, MalickBraga, AnnaGaba, SabrinaGagic, VesnaKudsk, PerLarsen, AshleyMesnage, RobinNiggli, UrsQaim, MatinSchreinemachers, PepijnStamm, Christiande Vries, WimFinger, RobertRIZSEZ0 209440Metaprogram SuMCropAM22000Excellence Strategy Grant EXC-2070-390732324-PhenoRobbonndataMöhring, NiklasMöhring, Niklas2025-10-26Agricultural SciencesEarth and Environmental SciencesSocial SciencesAgricultural SciencesEarth and Environmental SciencesSocial SciencesThe 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.2022-03-202022-10-20QuantitativeSurvey dataMöhring, 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.<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a>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, bonndataMöhring, 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.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.Codebook_cords_local_experts.csvCodebook auxiliary dataset for replication 1text/csvCodebook_spam2020V1r0_global_H_TA.csvCodebook auxiliary dataset for replication 2text/csvcords_local_experts.csvAuxiliary dataset for replication 1text/csvReadme_Moehring_Code_Eff-Glob-Trans-Agricult-Pest-Man.txtReadmetext/plainReplication_Mohring et al_Code_R.txtCode for replication of Möhring et al. (2025) in Rtext/plainspam2020V1r0_global_H_TA.csvAuxiliary dataset for replication 2text/csv