随机步行与空间和时间重置可以解释的个人和殖民地级搜索模式
Valentin Lecheval1,2,3, Elva J H Robinson4, Richard P Mann3
1Department of Biology, Institute for Theoretical Biology, Humboldt Universität zu Berlin , Berlin, Germany.
Journal of the Royal Society, Interface
|July 31, 2024
概括
由于重新设置巢的行为,在食范围中呈指数分布. 它们的搜索模式揭示了个体运动如何创建新兴的殖民地采集区,这对于理解中央地点采集区至关重要.
科学领域:
- 生态生态学 生态生态学
- 数学生物学 数学生物学
- 动物行为 动物行为
背景情况:
- 中心地方的采集者,像一样,利用巢穴周围的资源.
- 群体的集体食范围是从单个的移动中产生的,但根本的机制尚未完全理解.
研究的目的:
- 用随机步行与随机重置来模拟寻食物的运动.
- 调查不同的重置机制如何影响殖民地新兴的食范围.
- 将模型预测与实验室和现场观测的经验数据进行比较.
主要方法:
- 开发了一个随机步行模型,结合了随机重置,模拟随机时间返回.
- 分析了模型的数学属性,以预测食的空间分布.
- 将模型输出与关于运动模式的实验数据进行比较.
主要成果:
- 所有经过测试的重置机制都强有力的预测了食的指数分布,与它们与巢的距离有关.
- 返回的可能性下降与经验数据一致,这表明采集者可能会随着时间的推移扩大它们的范围.
- 该模型成功地捕获了食行为的关键方面.
结论:
- 随机步行模型对理解中心位置食至关重要.
- 的食行为受到返回巢的概率和时间的影响.
- 这项研究为研究寻找策略和殖民地级食动态开辟了新的途径.
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