4.7 Article

Mapping marine debris risk using expert elicitation, empirical data, and spatial modelling

期刊

ENVIRONMENTAL SCIENCE & POLICY
卷 138, 期 -, 页码 44-55

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsci.2022.09.017

关键词

Delphi method; Environmental management; Risk analysis; Exposure; Plastic pollution

资金

  1. NSW Government
  2. UNSW Sydney Scientia PhD program

向作者/读者索取更多资源

Anthropogenic debris has widespread impacts on aquatic ecosystems, causing entanglement, ingestion, and bioaccumulation. The consequences of debris on individual organisms are known, but their impacts at management scales are poorly understood. This study provides a methodology to estimate specific debris items' risks to different organisms within a management area. Risk is determined by the consequence of interaction and the likelihood of exposure. The study identifies high-risk debris items and spatially assesses their variability, allowing for informed management decisions.
Anthropogenic debris is a widespread and prevalent component of aquatic systems. Organisms are increasing exposed to debris, leading to detrimental impacts through pathways such as entanglement, ingestion, and bio-accumulation. Multiple taxa interact with debris, and while the consequences to individual organisms are known in principle, their impacts at scales relevant to management are poorly understood. Despite uncertainties, decision-makers are tasked with addressing issues associated with debris and require an estimate of risks. Here, we provide a methodology to estimate the risk posed by specific debris items to a range of organisms within a management area. Risk was determined as a function of both (1) the consequence of an interaction, and (2) the likelihood of exposure, estimated through expert elicitation and empirical debris data, respectively. Using the New South Wales (NSW) Marine Estate as a case study, the methodology identified specific debris items posing risks to seven biological 'assets' (benthic assemblages, cetaceans, fish and sharks, planktonic assemblages, shorebirds, seabirds, turtles) through several pathways. Items posing 'high risk' to these biological groups included fishing-related items (fishing line, nets, traps and pots) through pathways of ingestion and entangle-ment. Microplastics and hard-plastic fragments also posed high risk via ingestion and bioaccumulation. The values were then assessed spatially, using marine debris databases, identifying variability in risk across the Marine Estate and thus, priority areas for management. By identifying the prominent debris items causing risks to specific and multiple assets, resources may be better allocated to maximise the efficacy of interventions.

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