Núcleo de Ecologia Aquática e Pesca da Amazônia (NEAP), Universidade Federal do Pará, Avenida Perimetral 2651, Belém, Brasil.
Laboratório de Ictiologia, Universidade Federal do Espírito Santo, Goiabeiras, 29075-910 Vitória, Espírito Santo, Brasil.
Sci Total Environ. 2024 Jan 10;907:167769. doi: 10.1016/j.scitotenv.2023.167769. Epub 2023 Oct 23.
Pollution by plastics is a worldwide problem on par with climatic change and biological invasions. In coastal sediments, plastic particles tend to accumulate and persist over the long term. We assessed the plastic pollution using a standardized surface sediment sampling protocol on 22 sandy beaches along >4600 km of the Brazilian coast. The abundance, size, color, type, and polymeric composition of all meso- and microplastic items found in the surveys were processed to disclose spatial patterns of distribution and pollution associated drivers. A General Linear Model (GLM) was run to investigate how the predictor variables influenced overall beach plastic amounts and by plastic type and size class. Overall, 3114 plastic items were found, with microplastics comprising just over half of all items (54 %). Most items were either white (60 %) or blue (13 %), while polystyrene foam (45 %) and fragments (39 %) comprised the most abundant plastic types. The principal polymers were Polyethylene (40 %) and Polypropylene (32 %). The analyses indicated that the distribution of plastic litter along beaches is determined by three predictive variables: the distance to the nearest estuary (-), tourism (+), and the number of inhabitants in the nearest urban center (+). Tourist (highly-visited) beaches and those near estuarine runoffs or urban centers presented the highest plastic pollution rates. The unveiling of plastic pollution patterns through a large-scale systematic survey is essential for future management guidance and science-based decisions for mitigating and solving the plastic pollution crisis.
塑料污染是一个与气候变化和生物入侵相当的全球性问题。在沿海沉积物中,塑料颗粒往往会长期积累和存在。我们使用标准化的表层沉积物采样方案,对巴西海岸线上 22 个沙滩进行了评估,这些沙滩分布在 4600 多公里的海岸线上。我们对所有中观和微观塑料物品的丰度、大小、颜色、类型和聚合组成进行了处理,以揭示分布和相关污染驱动因素的空间模式。我们运行了一个广义线性模型 (GLM),以调查预测变量如何影响海滩塑料总量以及塑料类型和大小类别的分布。总的来说,我们发现了 3114 个塑料物品,其中微塑料占所有物品的一半以上(54%)。大多数物品要么是白色(60%)要么是蓝色(13%),而聚苯乙烯泡沫(45%)和碎片(39%)是最常见的塑料类型。主要聚合物是聚乙烯(40%)和聚丙烯(32%)。分析表明,海滩上塑料垃圾的分布由三个预测变量决定:距最近河口的距离(-)、旅游(+)和最近城市中心的居民人数(+)。游客(高访问量)海滩和靠近河口或城市中心的海滩的塑料污染率最高。通过大规模系统调查揭示塑料污染模式对于未来的管理指导和基于科学的决策至关重要,有助于缓解和解决塑料污染危机。