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在乌克兰入侵后,用于追踪木材的框架
Thomas Mortier1,2, Jakub Truszkowski3,4, Marigold Norman1
1World Forest ID, Washington, DC, USA.
Nature plants
|March 12, 2024
概括
本研究引入了一种结合稳定同位素比率分析 (SIRA) 和微量元素分析 (TEA) 的新方法,以验证木材来源和确定采伐地点,这对于打击非法砍伐和执行制裁至关重要.
科学领域:
- 环境科学 环境科学
- 法医科学 法医科学 法医科学
- 地质化学 地质化学
背景情况:
- 科学测试,如稳定同位素比率分析 (SIRA) 和微量元素分析 (TEA),对于验证植物来源,打击森林砍伐和执行经济制裁至关重要.
- 现有的方法缺乏结合SIRA和TEA进行全面原产地验证和确定的稳健模型.
研究的目的:
- 开发和验证结合SIRA和TEA的综合模型,用于木材原产地验证和采伐地点确定.
- 创建一个大型的东欧木材参考数据库,对关键物种 (Betula,Fagus,Pinus,Quercus).
- 建立统计测试来验证声称的木材来源和确定采伐地点的概率模型.
主要方法:
- 开发一个大型的东欧木材参考数据库.
- 使用统计测试来对声称来源进行原产地验证.
- 使用高斯过程实现一个概率模型,整合SIRA,TEA和属分布数据来确定位置.
主要成果:
- 该验证方法成功地拒绝了40-60%的模拟虚假原产地声明,拒绝正确声明的比例很低.
- 该确定方法可以预测木材采伐地点,准确度为180至230公里.
- 将多种数据类型与木材可追溯性的概率建模结合的有效性得到证明.
结论:
- 开发的综合方法显著提高了验证木材来源和确定采伐地点的能力.
- 这种方法为监管机构提供了一种强大的工具,可以打击非法木材贸易并执行制裁.
- 结合各种数据集和先进的统计建模是改善木材来源调查的关键.
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