Methodological considerations when using local knowledge to infer spatial patterns of resource exploitation in an Irish Sea fishery
Methodological considerations when using local knowledge to infer spatial patterns of resource exploitation in an Irish Sea fishery
复制标题
使用当地知识推断爱尔兰海渔业资源开发的空间模式时的方法学考虑
DOI：
10.1016/j.biocon.2014.10.013
复制
发表时间：
2014
影响因子：
5.9
通讯作者：
M. Kaiser
中科院分区：
文献类型：
--
作者：
J. Shepperson;L. Murray;Sally Cook;H. Whiteley;M. Kaiser
尽管地方知识（LK）提供可靠，快速和低成本的数据的潜力，它的使用一直受到限制，由于缺乏对准确性和偏见的理解。我们比较了渔民的空间LK数据和渔船监测系统（VMS）的渔业独立数据，以分析渔民派生和独立派生的信息之间的一致性。我们研究了样本量和规模对匹配的影响，以表明未来研究的最合适的方法。虽然LK提供了捕捞范围的合理估计，但估计的捕捞强度与渔船监测系统数据的相关性较差。LK和VMS数据之间的一致性受到LK知识来源的样本量的显著影响。单个LK样本的准确度可能存在相当大的差异，因此必须最大化样本量，以缓冲不可靠的LK样本。较细的网格提供了更准确的捕鱼范围的表示，但是，捕鱼强度更准确时，使用较粗的网格分辨率。使用较大的网格还可以缓冲在确定强度时小样本大小的一些不准确性。当地知识可以提供与传统科学数据类似准确度的数据，这在数据匮乏的情况下特别有用，例如在发展中国家和目前没有强制性渔船监测系统记录系统的近海渔业。然而，应最大限度地提高采样群落的比例，以最大限度地减少个体渔民之间的不准确性。
Despite the potential of local knowledge (LK) to provide reliable, quick, and low cost data, its use has been limited due to the lack of understanding of the accuracy and biases. We compared fishers’ spatial LK data and fishery independent data from vessel monitoring systems (VMS) to analyse the concurrence between fisher derived and independently derived information. We examined the effect of sample size and scale on the match, to indicate the most appropriate approaches for future studies. Whilst LK provided a reasonable estimate of fishing extent, the estimated intensity of fishing was less well correlated with the VMS data. The agreement between LK and VMS data was significantly affected by the sample size from which LK knowledge was derived. There can be considerable variation in the accuracy of individual LK samples, therefore the sample size must be maximised to buffer for unreliable LK samples. A finer grid provided a more accurate representation of fishing extent; however, fishing intensity was more accurate when a coarser grid resolution was used. The use of a larger grid could also buffer some of the inaccuracy of a small sample size when determining intensity. Local knowledge can provide data of a similar accuracy to conventional scientific data, which is of particular use in data poor situations, e.g. in developing countries and for inshore fisheries that have no current mandatory VMS recording systems. However, the proportion of the community sampled should be maximised to minimise inaccuracy between individual fishers.