共 60 条
Emerging technologies for behavioral research in changing environments
被引:34
作者:
Couzin, Iain D.
[1
,2
,3
]
Heins, Conor
[1
,2
,3
]
机构:
[1] Max Planck Inst Anim Behav, Dept Collect Behav, Constance, Germany
[2] Univ Konstanz, Ctr Adv Study Collect Behav, Constance, Germany
[3] Univ Konstanz, Dept Biol, Constance, Germany
关键词:
TRACKING;
SYSTEM;
TOOLS;
D O I:
10.1016/j.tree.2022.11.008
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
The first response exhibited by animals to changing environments is typically behavioral. Behavior is thus central to predicting, and mitigating, the impacts that natural and anthropogenic environmental changes will have on populations and, consequently, ecosystems. Yet the inherently multiscale nature of behavior, as well as the complexities associated with inferring how animals perceive their world, and make decisions, has constrained the scope of behavioral research. Major technological advances in electronics and in machine learning, however, provide increasingly powerful means to see, analyze, and interpret behavior in its natural complexity. We argue that these disruptive technologies will foster new approaches that will allow us to move beyond quantitative descriptions and reveal the underlying generative processes that give rise to behavior.
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页码:346 / 354
页数:9
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