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Spatial effects, sampling errors, and task specialization in the honey bee
Insectes Sociaux ( IF 1.3 ) Pub Date : 2010-02-24 , DOI: 10.1007/s00040-010-0077-2
B R Johnson 1
Affiliation  

Task allocation patterns should depend on the spatial distribution of work within the nest, variation in task demand, and the movement patterns of workers, however, relatively little research has focused on these topics. This study uses a spatially explicit agent based model to determine whether such factors alone can generate biases in task performance at the individual level in the honey bees, Apis mellifera. Specialization (bias in task performance) is shown to result from strong sampling error due to localized task demand, relatively slow moving workers relative to nest size, and strong spatial variation in task demand. To date, specialization has been primarily interpreted with the response threshold concept, which is focused on intrinsic (typically genotypic) differences between workers. Response threshold variation and sampling error due to spatial effects are not mutually exclusive, however, and this study suggests that both contribute to patterns of task bias at the individual level. While spatial effects are strong enough to explain some documented cases of specialization; they are relatively short term and not explanatory for long term cases of specialization. In general, this study suggests that the spatial layout of tasks and fluctuations in their demand must be explicitly controlled for in studies focused on identifying genotypic specialists.

中文翻译:

蜜蜂的空间效应、采样误差和任务专业化

任务分配模式应取决于巢内工作的空间分布、任务需求的变化以及工人的移动模式,然而,相对较少的研究关注这些主题。本研究使用基于空间显性代理的模型来确定仅这些因素是否会在蜜蜂(Apis mellifera)的个体水平上产生任务表现的偏差。专业化(任务表现的偏差)被证明是由于局部任务需求导致的强烈抽样误差、相对于巢穴大小的相对缓慢移动的工人以及任务需求的强烈空间变化造成的。迄今为止,专业化主要通过反应阈值概念进行解释,该概念侧重于工人之间的内在(通常是基因型)差异。然而,由于空间效应引起的响应阈值变化和抽样误差并不相互排斥,这项研究表明,两者都会导致个体层面的任务偏差模式。虽然空间效应足以解释一些记录在案的专业化案例;它们是相对短期的,不能解释长期的专业化案例。总的来说,这项研究表明,在专注于识别基因型专家的研究中,必须明确控制任务的空间布局和需求的波动。它们是相对短期的,不能解释长期的专业化案例。总的来说,这项研究表明,在专注于识别基因型专家的研究中,必须明确控制任务的空间布局和需求的波动。它们是相对短期的,不能解释长期的专业化案例。总的来说,这项研究表明,在专注于识别基因型专家的研究中,必须明确控制任务的空间布局和需求的波动。
更新日期:2010-02-24
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