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首页> 外文期刊>ICES Journal of Marine Science >Modelling fishing location choice within mixed fisheries: English North Sea beam trawlers in 2000 and 2001
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Modelling fishing location choice within mixed fisheries: English North Sea beam trawlers in 2000 and 2001

机译:模拟混合渔业中的捕鱼地点选择:2000年和2001年的英国北海拖网渔船

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Numerous studies have proposed methodologies to model fisher behaviour with the aim of predicting the outcomes of decision-making on board a fishing vessel. Both short- and long-term processes (e.g. investment) impact fleet dynamics. The proposed structure of the models has tended to depend upon the nature of the fishery and the control variables (technical restrictions, quotas, effort control, and/or closed areas). For example, within the context of multi-stock, multi-fleet fisheries (mixed fisheries), a skipper will allocate effort (as input to the production process) to harvest a range of species. Spatial complexity is normally excluded in models of behaviour. In this paper, two spatial analyses are presented for modelling location choice: an analysis based on a random utility model (RUM), and a simplified simulation model of individual vessels that depends on the results of the RUM. These models are applied to the English beam-trawl fleet operating in the North Sea in 2000. The results from the RUM indicate that the number of trips, the average trip length, and the average effort in each ICES rectangle are significant variables affecting location choice, in addition to catch rate for the previous year (1999), weighted by value. The last result is used as an assumption in a simulation model of fishing effort, i.e. fishers make decisions on spatial location of operation on the basis of past catch rates. The simulation model is used to predict the distribution of the same fleet for one month during the temporary closure in the North Sea in 2001. The predicted values for effort relate well to the fishing patterns observed.
机译:许多研究提出了对渔民行为进行建模的方法,目的是预测渔船上决策的结果。短期和长期流程(例如投资)都会影响车队动态。模型的拟议结构倾向于取决于渔业的性质和控制变量(技术限制,配额,工作量控制和/或封闭区域)。例如,在多种群,多船队渔业(混合渔业)的背景下,船长将分配工作量(作为生产过程的投入)以收获一系列物种。行为模型通常不包括空间复杂性。在本文中,提出了两种用于对位置选择进行建模的空间分析:基于随机效用模型(RUM)的分析以及取决于RUM结果的单个船舶的简化仿真模型。这些模型应用于2000年在北海运营的英国拖网船队。RUM的结果表明,每个ICES矩形中的行程次数,平均行程长度和平均作用力是影响位置选择的重要变量,以及上一年度(1999)的捕获率,并按价值加权。最后的结果在捕捞努力的模拟模型中用作假设,即渔民根据过去的捕捞率来决定作业的空间位置。该模拟模型用于预测2001年北海临时关闭期间同一船队在一个月内的分布情况。预测的努力值与所观察到的捕捞模式密切相关。

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