使用VA'A独木舟进行参与式监测,确定推动微塑料分布的关键环境因素
Alexandre David Dantas1, Lucio Brabo2, Tatiane Martins Garcia2
1Instituto de Ciências do Mar (LABOMAR), Universidade Federal do Ceará (UFC), Fortaleza, Brazil; Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio), Parque Nacional de Jericoacoara (PNJ), Jijoca de Jericoacoara, Ceará, Brazil..
Marine pollution bulletin
|November 22, 2025
概括
公民科学家在Va'a独木舟上监测沿海水域的微塑料 (MP) 污染. 在城市化地区发现了更高的MP密度和多样性,而风速是最强的预测因素.
科学领域:
- 环境科学 环境科学
- 海洋生物学 海洋生物学
- 生态毒理学 生态毒理学
背景情况:
- 微塑料 (MP) 污染在沿海环境中越来越令人担忧.
- 了解MP分布对于有效的监测和缓解策略至关重要.
- 综合水上运动和科学的参与式研究为环境监测提供了一种新的方法.
研究的目的:
- 评估两个城市化水平相反的沿海地区的MP数量,组成和分布.
- 使用参与式方法确定MP密度的关键环境和本地预测因素.
- 评估使用Va'a独木舟进行基于公民科学的MP监测的有效性.
主要方法:
- 在水上运动活动中使用Va'a独木舟的低成本参与式方法.
- 从两个沿海地点收集和分析了23,159个微塑料物品.
- 应用增强回归树 (BRT) 模型来确定MP密度预测器.
主要成果:
- 平均MP密度为0.47项/m2,在高度城市化地区的密度和多样性更高.
- BRT模型解释了66%的差异,确定风速,地点城市化和降雨量作为关键预测因素.
- 风速是MP密度最强的预测因素,其次是地点和月度降雨量.
结论:
- 使用Va'a独木舟进行参与式监测对于强大的MP数据收集和公民参与是有效的.
- 当地水力动力学,城市化和雨水驱动的下水对沿海MP分布有很大影响.
- 这种可扩展的公民科学模型可以加强区域和全球的微塑料污染倡议.
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