Szostek Claire L, Murray Lee G, Bell Ewen, Kaiser Michel J
School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey LL59 5AB, UK.
School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey LL59 5AB, UK.
Mar Environ Res. 2017 Aug;129:329-346. doi: 10.1016/j.marenvres.2017.06.012. Epub 2017 Jun 20.
Knowledge of the extent and intensity of fishing activities is critical to inform management in relation to fishing impacts on marine conservation features. Such information can also provide insight into the potential socio-economic impacts of closures (or other restrictions) of fishing grounds that could occur through the future designation of Marine Conservation Zones (MCZs). We assessed the accuracy and validity of fishing effort data (spatial extent and relative effort) obtained from Fishers' Local Knowledge (LK) data compared to that derived from Vessel Monitoring System (VMS) data for a high-value shellfish fishery, the king scallop (Pecten maximus L.) dredge fishery in the English Channel. The spatial distribution of fishing effort from LK significantly correlated with VMS data and the correlation increased with increasing grid cell resolution. Using a larger grid cell size for data aggregation increases the estimation of the total area of seabed impacted by the fishery. In the absence of historical VMS data for vessels ≤15 m LOA (Length Overall), LK data for the inshore fleet provided important insights into the relative effort of the inshore (<6 NM from land) king scallop fishing fleet in the English Channel. The LK data provided a good representation of the spatial extent of inshore fishing activity, whereas representation of the offshore fishery was more precautionary in terms of defining total impact. Significantly, the data highlighted frequently fished areas of particular importance to the inshore fleet. In the absence of independent sources of geospatial information, the use of LK can inform the development of marine planning in relation to both sustainable fishing and conservation objectives, and has application in both developed and developing countries where VMS technology is not utilised in fisheries management.
了解捕捞活动的范围和强度对于指导渔业管理、评估其对海洋保护特征的影响至关重要。此类信息还能洞察未来指定海洋保护区(MCZ)可能导致的渔场关闭(或其他限制措施)所产生的潜在社会经济影响。我们评估了从渔民本地知识(LK)数据获取的捕捞努力数据(空间范围和相对努力程度)与从船舶监测系统(VMS)数据得出的数据相比的准确性和有效性,该评估针对的是一种高价值贝类渔业——英吉利海峡的王扇贝(Pecten maximus L.)拖网渔业。来自本地知识的捕捞努力的空间分布与船舶监测系统数据显著相关,且随着网格单元分辨率的提高,相关性增强。使用更大的网格单元尺寸进行数据汇总,会增加对受渔业影响的海底总面积的估计。在缺乏长度总长(LOA)≤15米船舶的历史船舶监测系统数据的情况下,近海船队的本地知识数据为了解英吉利海峡近海(距陆地<6海里)王扇贝捕捞船队的相对努力程度提供了重要见解。本地知识数据很好地呈现了近海捕捞活动的空间范围,而在界定总影响方面,对近海渔业的呈现则更为保守。重要的是,这些数据突出了对近海船队尤为重要的频繁捕捞区域。在缺乏独立地理空间信息来源的情况下,利用本地知识可为与可持续捕捞和保护目标相关的海洋规划制定提供参考,并且在渔业管理中未使用船舶监测系统技术的发达国家和发展中国家均有应用。