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【bio-news】Interface：大黄蜂与系列犯罪的相似性
据美国《科学》杂志在线新闻报道，犯罪学使用的模型能够反映大黄蜂如何在花中觅食。研究人员在最近出版的英国皇家学会《界面》（Interface）杂志上报告了这一研究成果。这种名为地缘剖绘的技术能够使警方通过罪案地点判断罪犯所处的位置，而对于大黄蜂来说，这一模型能够在实验室中准确跟踪昆虫在花中的觅食轨迹，并且精确找到大黄蜂的起始位置。研究人员希望能够利用这项技术研究其他动物的觅食模式。
原始出处：
Interface，10.1098/rsif.2008.0242，Nigel E. Raine, D. Kim Rossmo, Steven C. Le Comber
Geographic profiling applied to testing models of bumble-bee foraging
Nigel E. Raine1, D. Kim Rossmo2, Steven C. Le Comber3
1 Research Centre for Psychology, School of Biological and Chemical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, UK
2Department of Criminal Justice, Texas State University-San Marcos, San Marcos, TX 78666, USA
3 School of Biological and Chemical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, UK
摘要
Geographic profiling (GP) was originally developed as a statistical tool to help police forces prioritize lists of suspects in investigations of serial crimes. GP uses the location of related crime sites to make inferences about where the offender is most likely to live, and has been extremely successful in criminology. Here, we show how GP is applicable to experimental studies of animal foraging, using the bumble-bee Bombus terrestris. GP techniques enable us to simplify complex patterns of spatial data down to a small number of parameters (2–3) for rigorous hypothesis testing. Combining computer model simulations and experimental observation of foraging bumble-bees, we demonstrate that GP can be used to discriminate between foraging patterns resulting from (i) different hypothetical foraging algorithms and (ii) different food item (flower) densities. We also demonstrate that combining experimental and simulated data can be used to elucidate animal foraging strategies: specifically that the foraging patterns of real bumble-bees can be reliably discriminated from three out of nine hypothetical foraging algorithms. We suggest that experimental systems, like foraging bees, could be used to test and refine GP model predictions, and that GP offers a useful technique to analyse spatial animal behaviour data in both the laboratory and field.
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作者:admin@医学,生命科学 2011-04-09 05:14
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