Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s13592-016-0476-0
Titel (primär) Predictive systems models can help elucidate bee declines driven by multiple combined stressors
Autor Henry, M.; Becher, M.A.; Osborne, J.L.; Kennedy, P.J.; Aupinel, P.; Bretagnolle, V.; Brun, F.; Grimm, V.; Horn, J.; Requier, F.
Quelle Apidologie
Erscheinungsjahr 2017
Department OESA
Band/Volume 48
Heft 3
Seite von 328
Seite bis 339
Sprache englisch
Keywords Apis mellifera; field monitoring program; honeybees; mechanistic modeling; agent-based models
UFZ Querschnittsthemen RU5;
Abstract Bee declines are driven by multiple combined stresses, making it exceedingly difficult to identify
experimentally the most critical threats to bees and their pollination services.We highlight here the too often ignored potential of mechanistic models in identifying critical stress combinations. Advanced bee models are now available as open access tools and offer an unprecedented opportunity for bee biologists to explore bee resilience tipping points in a variety of environmental contexts.We provide general guidelines on how to run beemodels to help detect a priori critical stress combinations to be targeted in the field. This so-called funnel analysis should be performed in tight conjunction with the recent development of large-scale field monitoring programs for bee health surveillance.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18024
Henry, M., Becher, M.A., Osborne, J.L., Kennedy, P.J., Aupinel, P., Bretagnolle, V., Brun, F., Grimm, V., Horn, J., Requier, F. (2017):
Predictive systems models can help elucidate bee declines driven by multiple combined stressors
Apidologie 48 (3), 328 - 339 10.1007/s13592-016-0476-0