A Framework for Using Ensemble Species Distribution Models for Geographic Attribution in Forensic Palynology

Haoyu Wang, Jennifer A. Miller, T. Grubesic, Shalene Jha
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引用次数: 1

Abstract

As a next-generation DNA sequencing technique, metabarcoding aids in identifying biotic trace materials such as pollen, fungal spores, and other environmental DNA samples. This paper aims to develop a geographic attribution framework using pollen samples associated with objects or persons of interest to reduce search space for law enforcement investigations. We use plant occurrence data from the open-source Global Biodi-versity Information Facility (GBIF) to model individual genus and species distributions which were subsequently combined to inform possible geolocations objects or persons of interest have traveled. Results indicate that the geographic attribution frame-work could potentially aid forensic investigations by eliminating geographic search areas to determine the possible location history of people and objects.
综合物种分布模型在法医孢粉学地理归因中的应用框架
元条形码作为下一代DNA测序技术,有助于鉴定花粉、真菌孢子和其他环境DNA样本等生物痕量物质。本文旨在利用与感兴趣的对象或人员相关的花粉样本开发地理归因框架,以减少执法调查的搜索空间。我们使用来自开源的全球生物多样性信息设施(GBIF)的植物发生数据来模拟单个属和物种的分布,这些分布随后被结合起来,以通知可能的地理位置,目标或感兴趣的人已经旅行过。结果表明,地理归因框架可以通过消除地理搜索区域来确定人和物体可能的位置历史,从而为法医调查提供潜在的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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