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在船队细分和次区域尺度上探索渔业威胁:最少的专家知识以及基于恢复力与干扰的方法作为软骨鱼类保护工具

Exploring fishing threat at fleet segment and subregional scale: Least expert knowledge and a resilience versus disturbance-based approach as conservation's tools for cartilaginous fish.

作者信息

Scacco Umberto, Di Crescenzo Simone, Sbrana Alice

机构信息

National Centre of Laboratories-Biology Italian Institute for Environmental Protection and Research (ISPRA) Rome Italy.

Department of Bio Ecological Sciences University of Tuscia Viterbo Italy.

出版信息

Ecol Evol. 2023 Mar 19;13(3):e9881. doi: 10.1002/ece3.9881. eCollection 2023 Mar.

Abstract

Based on an explorative but rigorous elicitation framework, we obtained the bycatch fishing probability at the fishing fleet segment level using expert estimates. Based on the knowledge of three scientific experts, we developed a new and creative structured method for smart and fast fishery-related risk assessments for species of high conservation concern. In order to test the method here propose, we applied it to 76 cartilaginous fish species (included in the IUCN Red Lists) and on five different fishing segments at both Italian and Mediterranean scale. The method produced qualitative results specific to the threat posed by fishing for each species and each segment with information between and within the segments. Based on the interpretation of resilience-disturbance interactions developed for ecological systems, the quantitative results provided reliable cumulative metrics, measuring the extinction risk due to fishing and the response to overfishing for the species considered. Additionally, the results highlight that the method perform best on a small geographic scale. Therefore, the application of this new method on other subregional or local scales where very few data are available (e.g., fishing effort) could be a valuable tool for the preliminary assessment for species of conservation concern. In fact, despite the absence of detailed catch data at local geographic scales, the flexibility of this method could help to highlight potential fishery-related conservation problems and thus redirect conservation strategies for threatened marine species such as many sharks and rays species.

摘要

基于一个探索性但严谨的启发式框架,我们利用专家估计得出了捕捞船队细分层面的兼捕概率。基于三位科学专家的知识,我们开发了一种新颖且有创意的结构化方法,用于对高度受保护关注物种进行智能快速的渔业相关风险评估。为了测试这里提出的方法,我们将其应用于76种软骨鱼类(列入世界自然保护联盟红色名录)以及意大利和地中海范围内的五个不同捕捞细分区域。该方法针对每个物种和每个细分区域的捕捞所构成的威胁产生了特定的定性结果,并提供了细分区域之间和内部的信息。基于为生态系统开发的恢复力 - 干扰相互作用的解释,定量结果提供了可靠的累积指标,衡量了所考虑物种因捕捞导致的灭绝风险以及对过度捕捞的响应。此外,结果表明该方法在小地理尺度上表现最佳。因此,在其他几乎没有可用数据(如捕捞努力)的次区域或地方尺度上应用这种新方法,可能是对受保护关注物种进行初步评估的宝贵工具。事实上,尽管在当地地理尺度上缺乏详细的渔获数据,但该方法的灵活性有助于突出潜在的渔业相关保护问题,从而重新调整对许多鲨鱼和鳐鱼等受威胁海洋物种的保护策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6ae/10025082/2e7b1ec9c18e/ECE3-13-e9881-g007.jpg

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