リスクを避ける都会の鳥たち(City birds shy away from risk)

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2023-04-02 マックス・プランク研究所

都市環境での生活はグレートテイルドグラックルにとってリスキーだが、食べ物を見つけるための効果的な戦略を持つことが重要。研究では、オスのグラックルが餌の場所をより速く再学習する傾向があることが示され、これは都市環境での生存能力を高める可能性がある。また、予測不能な環境ではリスク感知型の学習者がより優れた適応能力を持つことも示された。

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都市侵略を率いる:リスクに敏感な学習は勝利の戦略である Leading an urban invasion: risk-sensitive learning is a winning strategy

Alexis J Breen,Dominik Deffner
eLife  Reviewed preprint version 2:February 23, 2024 (this version)
DOI:https://doi.org/10.7554/eLife.89315.2

リスクを避ける都会の鳥たち(City birds shy away from risk)

Abstract

In the unpredictable Anthropocene, a particularly pressing open question is how certain species invade urban environments. Sex-biased dispersal and learning arguably influence movement ecology, but their joint influence remains unexplored empirically, and might vary by space and time. We assayed reinforcement learning in wild-caught, temporarily-captive core-, middle- or edge-range great-tailed grackles—a bird species undergoing urban-tracking rapid range expansion, led by dispersing males. We show: across populations, both sexes initially perform similarly when learning stimulus-reward pairings, but, when reward contingencies reverse, male—versus female—grackles finish ‘relearning’ faster, making fewer choice-option switches. How do male grackles do this? Bayesian cognitive modelling revealed male grackles’ choice behaviour is governed more strongly by the ‘weight’ of relative differences in recent foraging payoffs—i.e., they show more pronounced risk-sensitive learning. Confirming this mechanism, agent-based forward simulations of reinforcement learning—where we simulate ‘birds’ based on empirical estimates of our grackles’ reinforcement learning—replicate our sex-difference behavioural data. Finally, evolutionary modelling revealed natural selection should favour risk-sensitive learning in hypothesised urban-like environments: stable but stochastic settings. Together, these results imply risk-sensitive learning is a winning strategy for urban-invasion leaders, underscoring the potential for life history and cognition to shape invasion success in human-modified environments.

生物環境工学
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