Details

Autor(en) / Beteiligte

• Lin, Qinqin
• Chen, Yong
• Zhu, Jiangfeng

Titel

A comparative analysis of the ecological impacts of Chinese tuna longline fishery on the Eastern Pacific Ocean

Ist Teil von

• Ecological indicators, 2022-10, Vol.143, p.109284, Article 109284

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2022

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• [Display omitted] •The ecological impacts of Chinese tuna longline fishery on the Eastern Pacific Ocean were assessed for the first time.•Sharks were considered the most vulnerable species in the Eastern Pacific Ocean and require additional management attention.•Species vulnerability was driven more by susceptibility than by productivity attributes.•Quantitative assessment methods are recommended when reliable data are available. Ecological Risk Assessment (ERA) has been widely applied in data-poor fisheries to identify potentially vulnerable species and prioritize future research. We performed an ERA study using semi-quantitative Productivity-Susceptibility Analysis (PSA) to analyze the relative vulnerability of 24 species caught by the Chinese tuna longline fishery operating in the Eastern Pacific Ocean (EPO). The PSA results in our study were compared with those of all longline fisheries in the EPO and validated by the quantitative vulnerability assessment (EASI) applied to EPO longline and purse-seine fisheries. We conducted a sensitivity analysis of the attributes used in the PSA. Of the 24 species assessed, five species were classified as highly vulnerable, including the target species of Bigeye tuna (Thunnus obesus) and four shark species, with the remaining species being moderately vulnerable. Our findings revealed good concurrence with the PSA study considering all longline fisheries but differed significantly from EASI. There were seven medium vulnerability species in our assessment corresponding to low vulnerability in the EASI study, which is largely attributed to the precautionary attribute scoring and vulnerability classification criteria used in PSA. The sensitivity analysis suggested that species vulnerability was more likely to be influenced by susceptibility attributes than productivity attributes, especially Areal Overlap with RMSE value of 0.146. Given these findings, while it is reasonable to adopt the PSA approach until we have more reliable data, there is a need to move further toward quantitative assessment.