Predicting natural enemy efficacy in biological control using ex-ante analyses.
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| Title: | Predicting natural enemy efficacy in biological control using ex-ante analyses. |
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| Authors: | Gutierrez AP; Center for the Analysis of Sustainable Agroecological Systems, Kensington, CA, 94707-1035, USA. CASAS.global@berkeley.edu.; Division of Ecosystem Science, College of Natural Resources, University of California, Berkeley, CA, 94720-3114, USA. CASAS.global@berkeley.edu., Ponti L; Center for the Analysis of Sustainable Agroecological Systems, Kensington, CA, 94707-1035, USA.; Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile (ENEA), Centro Ricerche Casaccia, Via Anguillarese 301, 00123, Roma, Italy., Neuenschwander P; International Institute of Tropical Agriculture, Biological Control Center for Africa, 08 B.P. 0932, Cotonou, Benin., Yaninek JS; Department of Entomology, Purdue University, West Lafayette, IN, 47907-2089, USA., Herren HR; The Millennium Institute, Washington, DC, USA. |
| Source: | Scientific reports [Sci Rep] 2025 Dec 29; Vol. 15 (1), pp. 44886. Date of Electronic Publication: 2025 Dec 29. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-29022-1 |
