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Towards a mechanistic framework that explains correlated random walk behaviour: Correlated random walkers can optimize their fitness when foraging under the risk of predation
Affiliation:1. Key Laboratory of Drinking Water Science and Technology, Research Centre for Eco-Environmental Sciences, Chinese Academy Sciences, 18#, Shuangqing Rd., Haidian District, Beijing 100085, China;2. University of Chinese Academy of Sciences, 19#, Yuquan Rd., Shijingshan District, Beijing 100049, China;3. Wison Engineering (China) Co. Ltd., 699 Zhongke Rd., Zhangjiang Hi-techPark, Pudong District, Shanghai 201210, China;1. School of Computer Science, University of Windsor, Canada N9B 3P4;2. Department of Biological Science, University of Windsor, Canada N9B 3P4;3. School of Computer Science, Department of Biological Science, Great Lakes Institute for Environmental Research, University of Windsor, Canada N9B 3P4;1. Massey University, Palmerston North, New Zealand;2. Agresearch Ltd., c/o Hopkirk Research Institute, Private Bag 11008, Palmerston North 4442, New Zealand;3. Ministry for Primary Industries, PO Box 40742, Upper Hutt 5018, New Zealand;1. College of Information Technology, Shanghai Ocean University, Shanghai 201306, China;2. College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China;3. School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China;1. Department of Radiation Oncology, University of Maryland Medical Center, Baltimore, Maryland;2. Department of Radiation Oncology, College of Medicine, University of Florida, Gainesville, Florida
Abstract:
Keywords:Correlated random walkers  Optimal foraging  Predation
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