Publication Details |
Category | Text Publication |
Reference Category | Journals |
DOI | 10.1007/s13592-016-0476-0 |
Title (Primary) | Predictive systems models can help elucidate bee declines driven by multiple combined stressors |
Author | Henry, M.; Becher, M.A.; Osborne, J.L.; Kennedy, P.J.; Aupinel, P.; Bretagnolle, V.; Brun, F.; Grimm, V.; Horn, J.; Requier, F. |
Source Titel | Apidologie |
Year | 2017 |
Department | OESA |
Volume | 48 |
Issue | 3 |
Page From | 328 |
Page To | 339 |
Language | englisch |
Keywords | Apis mellifera; field monitoring program; honeybees; mechanistic modeling; agent-based models |
UFZ wide themes | 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. |
Persistent UFZ Identifier | 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 |