Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.agee.2022.108215 |
Lizenz  |
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| Titel (primär) | Applying generic landscape-scale models of natural pest control to real data: Associations between crops, pests and biocontrol agents make the difference |
| Autor | Bonato, M.; Martin, E.A.; Cord, A.F.; Seppelt, R.; Beckmann, M.
; Strauch, M.
|
| Quelle | Agriculture, Ecosystems & Environment |
| Erscheinungsjahr | 2023 |
| Department | CLE; iDiv |
| Band/Volume | 342 |
| Seite von | art. 108215 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Supplements | https://ars.els-cdn.com/content/image/1-s2.0-S0167880922003644-mmc1.docx |
| Keywords | Natural pest control; Predictive modeling; Landscape complexity; Agricultural management |
| Abstract | Managing agricultural land to maximize the supply of natural pest control can help reduce pesticide use.
Tools that are able to represent the relationship between landscape structure,
field management and natural pest control can help in deciding which management
practices should be used and where. However, the reliability and the predictive
power of generic models of natural pest control is largely unknown. We applied
an existing generic model of natural pest control potential based on landscape
structure to nine sites in five European countries and tested the resulting
values against field measurements of natural pest control. Subsequently, we
added information on local level factors to test the possibility of improving
model performance and predictive power. The results showed that there is
generally little or no evidence of correlation between modeled and
field-measured values of natural pest control. Moreover, we found high
variability in the results, depending on the associations of crops, pests and biocontrol
agents considered (e.g. Oilseed rape-Pollen beetle-Parasitoids) and on
the different case studies. Factors at the local level, such as conservation
tillage, had an overall positive effect on natural pest control, and their
inclusion in the models typically increased their predictive power. Our results
underline the importance of developing predictive models of natural pest
control which are tailored towards specific associations between crops, pests
and biocontrol agents, consider local level factors and are trained using field
measurements. They would serve as important tools within farmers' decision
making, ultimately supporting the shift toward a low-pesticide agriculture. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26703 |
| Bonato, M., Martin, E.A., Cord, A.F., Seppelt, R., Beckmann, M., Strauch, M. (2023): Applying generic landscape-scale models of natural pest control to real data: Associations between crops, pests and biocontrol agents make the difference Agric. Ecosyst. Environ. 342 , art. 108215 10.1016/j.agee.2022.108215 |
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