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利用几何相似原理将传统的过滤性渔具选择性曲线转化为选择性曲面。运用选择性方程,并假设不同网目大小的渔具对相同尺寸渔获个体的渔获服从多项分布后,对过滤性渔具的网目选择性建立模型。使用极大似然估计法对模型进行拟合,同时,通过假设检验对模型进行简化。使用平行作业法试验条件下的张网渔具的黄鲫(Setipinnataty)渔获数据进行模型拟合。结果显示,所建模型可以在没有对照网的情况下估算出各不同网目大小网囊的选择率,并同样适用于套网法试验条件下的选择性分析。模型的建立为今后进行过滤性渔具网目选择性试验方法改革提供了理论参考。通过与SELECT模型比较,认为模型使用选择性方程并区分渔获能力和捕捞努力量使得模型更具普遍性。
Using the principle of geometric similarity to convert the traditional filtered fishing gear selectivity curve into a selective curved surface. Using the selectivity equation, and assuming that fishing gear of different mesh sizes catch multiple individuals of the same size, the model of mesh selectivity of the fishing gear is established. The model is fitted using maximum likelihood estimation, and the model is simplified by hypothesis testing. Seypinnataty catch data from the net fishing gear under parallel working test were used for model fitting. The results show that the proposed model can estimate the selectivity of different sizes of mesh in the absence of the control mesh and is also suitable for the selective analysis under the experimental conditions. The establishment of the model provides a theoretical reference for the future reform of the selective test methods for the fishing gear nets. By comparing with the SELECT model, it is considered that the model uses a selective equation and distinguishes between catch and fishing effort making the model more universal.