SALT Lofoten, P.O. Box 91, 8301 Svolvaer, Norway.
Department of Genetics and Genome Biology, College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester LE1 7RH, UK.
Mar Pollut Bull. 2019 Jan;138:364-375. doi: 10.1016/j.marpolbul.2018.11.021. Epub 2018 Nov 29.
Increased plastic consumption and poor waste management have resulted in litter representing an ever-increasing threat to the marine environment. To identify sources and evaluate mitigation measures, beach litter has been monitored. Using data from two citizen science protocols (CSPs) and OSPAR monitoring of Norwegian beaches, this study 1) identifies the most abundant litter types, 2) compares OSPAR to citizen science data, and 3) examines how to improve the management relevance of beach litter data. The dominant litter types were; food and drink- and fishery related items, and unidentifiable plastic pieces. Data from CSPs are consistent with OSPAR data in abundance and diversity, although few OSPAR beaches limit verification of CSP data. In contrast to OSPAR, the CSPs estimate the weight of the litter. CSPs lack important variables which could explain why some litter types are abundant in some particular areas. The latter could be improved by recording GPS positions.
塑料消耗量的增加和废物管理不善导致垃圾对海洋环境造成的威胁日益严重。为了确定来源并评估缓解措施,已经对海滩垃圾进行了监测。本研究利用两项公民科学方案(CSP)和 OSPAR 对挪威海滩的监测数据,1)确定了最丰富的垃圾类型,2)比较了 OSPAR 与公民科学数据,3)研究了如何提高海滩垃圾数据的管理相关性。主要的垃圾类型是:食品和饮料相关物品、渔业相关物品以及无法辨认的塑料碎片。CSP 的数据在丰富度和多样性方面与 OSPAR 数据一致,尽管很少有 OSPAR 海滩对 CSP 数据进行验证。与 OSPAR 不同的是,CSP 估计了垃圾的重量。CSP 缺乏可以解释为什么某些垃圾类型在某些特定地区大量存在的重要变量。后者可以通过记录 GPS 位置来改进。