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What elk, wolves and caterpillars have in common—The perfect forager theorem
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作者 Piotr Weclaw Robert J. Hudson 《Open Journal of Ecology》 2013年第2期133-144,共12页
It is widely accepted that the Marginal Value Theorem (MVT) describes optimal foraging strategies of animals and the mechanism proposed by the MVT has been supported by a number of field observations. However, finding... It is widely accepted that the Marginal Value Theorem (MVT) describes optimal foraging strategies of animals and the mechanism proposed by the MVT has been supported by a number of field observations. However, findings of many researchers indicate that in natural conditions foragers do not always behave according to the MVT. To address this inconsistency, in a series of computer simulation experiments, we examined the behaviour of four types of foragers having specific foraging efficiencies and using the MVT strategies in 15 different landscapes in an ideal environment (no intra-and inter-specific interactions). We used data on elk (Cervus elaphus) to construct our virtual forager. Contrary to the widely accepted understanding of the MVT (residence time in a patch should be longer in environments where travel time between patches is longer) we found that in environments with the same average patch quality and varying average travel times between patches, patch residence times of some foragers are not affected by travel times. Based on our analysis we propose a mechanism responsible for this observation and formulate the perfect forager theorem (PFT). We also introduce the concepts of a foraging coefficient (F) and foragers’ hub (α), and propose a model to describe the relationship between the perfect forager and all other forager types. 展开更多
关键词 Resource Optimization OPTIMAL Use of Resources OPTIMAL FORAGING PERFECT Forager theorem Functional Response Curve Ecological Modeling marginal value theorem FORAGING Behaviour Computer Model SeekSMART
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基于移动辅助的无线传感器网络信息获取技术研究 被引量:1
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作者 赵辉 贾宗璞 《计算机应用研究》 CSCD 北大核心 2014年第11期3447-3450,3454,共5页
提出了一种基于边际值理论的移动代理辅助的无线传感器网络(WSN)自适应信息获取技术(EMVT)。这种方法来源于行为生态学。根据边际值理论,将整个传感器场分成小块,然后将每一块中的相关数据集中起来。每一个给定节点的观测值都被作为具... 提出了一种基于边际值理论的移动代理辅助的无线传感器网络(WSN)自适应信息获取技术(EMVT)。这种方法来源于行为生态学。根据边际值理论,将整个传感器场分成小块,然后将每一块中的相关数据集中起来。每一个给定节点的观测值都被作为具有一定相对标准差的边际信息源。移动代理通过当前传感器块收集到的信息估计出相关性,然后选择下一个观测节点。由于在动态变化的环境中不同块之间的相关性不同,有效的估计相关性模型方法就是有效数据的获取。基于边际值理论的估计方法能够利用较少的观测值保持感兴趣数据的保真度。仿真表明了方法的有效性。 展开更多
关键词 行为生态学 数据获取 边际值理论
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