Predictive systems models can help elucidate bee declines driven by multiple combined stressors
Predictive systems models can help elucidate bee declines driven by multiple combined stressors
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DOI：
10.1007/s13592-016-0476-0
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发表时间：
2017-05-01
期刊：
影响因子：
2.4
通讯作者：
Requier, Fabrice
中科院分区：
文献类型：
--
作者：
Henry, Mickael;Becher, Matthias A.;Requier, Fabrice
蜜蜂的减少是由多种复合压力驱动的，这使得从实验上识别对蜜蜂及其授粉服务最关键的威胁是极其困难的。我们在这里强调了机械模型在识别临界应力组合方面经常被忽视的潜力。先进的蜜蜂模型现在可以作为开放获取工具使用，并为蜜蜂生物学家提供了一个前所未有的机会来探索各种环境背景下的蜜蜂弹性临界点。我们提供了关于如何运行蜜蜂模型以帮助检测现场目标的先验临界应力组合的一般指南。这种所谓的漏斗分析应该与蜜蜂健康监测的大规模现场监测计划的最新发展紧密结合起来进行。
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 bee models 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.