Vertebrates Zoology Research Group, CIBIO Research Institute, University of Alicante, Alicante, Spain.
PLoS One. 2013;8(1):e54352. doi: 10.1371/journal.pone.0054352. Epub 2013 Jan 23.
Optimal foraging theory predicts that animals will tend to maximize foraging success by optimizing search strategies. However, how organisms detect sparsely distributed food resources remains an open question. When targets are sparse and unpredictably distributed, a Lévy strategy should maximize foraging success. By contrast, when resources are abundant and regularly distributed, simple brownian random movement should be sufficient. Although very different groups of organisms exhibit Lévy motion, the shift from a Lévy to a brownian search strategy has been suggested to depend on internal and external factors such as sex, prey density, or environmental context. However, animal response at the individual level has received little attention.
METHODOLOGY/PRINCIPAL FINDINGS: We used GPS satellite-telemetry data of Egyptian vultures Neophron percnopterus to examine movement patterns at the individual level during consecutive years, with particular interest in the variations in foraging search patterns during the different periods of the annual cycle (i.e. breeding vs. non-breeding). Our results show that vultures followed a brownian search strategy in their wintering sojourn in Africa, whereas they exhibited a more complex foraging search pattern at breeding grounds in Europe, including Lévy motion. Interestingly, our results showed that individuals shifted between search strategies within the same period of the annual cycle in successive years.
CONCLUSIONS/SIGNIFICANCE: Results could be primarily explained by the different environmental conditions in which foraging activities occur. However, the high degree of behavioural flexibility exhibited during the breeding period in contrast to the non-breeding period is challenging, suggesting that not only environmental conditions explain individuals' behaviour but also individuals' cognitive abilities (e.g., memory effects) could play an important role. Our results support the growing awareness about the role of behavioural flexibility at the individual level, adding new empirical evidence about how animals in general, and particularly scavengers, solve the problem of efficiently finding food resources.
最优觅食理论预测,动物会通过优化搜索策略来最大限度地提高觅食成功率。然而,生物体如何探测到稀疏分布的食物资源仍然是一个悬而未决的问题。当目标稀疏且分布不可预测时,莱维策略应该最大限度地提高觅食成功率。相比之下,当资源丰富且分布规律时,简单的布朗随机运动就足够了。尽管非常不同的生物体群体表现出莱维运动,但从莱维到布朗搜索策略的转变被认为取决于内部和外部因素,如性别、猎物密度或环境背景。然而,动物在个体水平上的反应却很少受到关注。
方法/主要发现:我们使用埃及秃鹫 Neophron percnopterus 的 GPS 卫星遥测数据,在连续几年的个体水平上检查了运动模式,特别关注在不同的年度周期(即繁殖期与非繁殖期)期间觅食搜索模式的变化。我们的结果表明,秃鹫在非洲的冬季停留期间遵循布朗搜索策略,而在欧洲的繁殖地则表现出更复杂的觅食搜索模式,包括莱维运动。有趣的是,我们的结果表明,个体在同一年内的不同时期内会在搜索策略之间转换。
结论/意义:结果主要可以用觅食活动发生的不同环境条件来解释。然而,在繁殖期与非繁殖期之间表现出的高度行为灵活性是具有挑战性的,这表明不仅环境条件解释了个体的行为,而且个体的认知能力(例如记忆效应)也可能发挥重要作用。我们的结果支持了在个体水平上行为灵活性的作用日益受到重视的观点,为一般动物,特别是食腐动物如何有效地寻找食物资源提供了新的经验证据。