Details zur Publikation

Referenztyp Zeitschriften
DOI / URL Link
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.;
Journal / Serie Apidologie
Erscheinungsjahr 2017
Department OESA;
Band/Volume 48
Heft 3
Sprache englisch;
POF III (gesamt) T11;
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.
ID 18024
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