透视图(图形)
资源(消歧)
现实主义
存水弯(水管)
变化(天文学)
生态学
计算机科学
心理学
认知心理学
人工智能
认识论
生物
地理
物理
哲学
气象学
天体物理学
计算机网络
作者
Lea Pollack,Amelia Munson,Matthew S. Savoca,Pete C. Trimmer,Sean M. Ehlman,Michael A. Gil,Andrew Sih
标识
DOI:10.1016/j.tree.2021.10.011
摘要
Following rapid environmental change, why do some animals thrive, while others struggle? We present an expanded, cue-response framework for predicting variation in behavioral responses to novel situations. We show how signal detection theory can be used when individuals have three behavioral options (approach, avoid, or ignore). Based on this theory, we outline predictions about which animals are more likely to make mistakes around novel conditions (i.e., fall for a trap or fail to use an undervalued resource) and the intensity of that mismatch (i.e., severe versus moderate). Explicitly considering three options provides a more holistic perspective and allows us to distinguish between severe and moderate traps, which could guide management strategies in a changing world.
科研通智能强力驱动
Strongly Powered by AbleSci AI