...
首页> 外文期刊>Turkish Journal of Fisheries & Aquatic Sciences >Size-Selectivity of Trammel Nets for Two Herbivorous Fish Species in Coral Reef Fisheries of Jeddah, Saudi Arabia
【24h】

Size-Selectivity of Trammel Nets for Two Herbivorous Fish Species in Coral Reef Fisheries of Jeddah, Saudi Arabia

机译:沙特阿拉伯吉达珊瑚礁渔业中两种食草鱼类物种的筛网尺寸选择性

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Acanthurus sohal and Siganus rivulatus in Jeddah fisheries was investigated using three different inner-panel mesh sizes: 50, 56, and 62 mm. The SELECT method was used to calculate selectivity parameters. Five models were fitted to estimate the selectivity curves, namely: normal location, normal scale, lognormal, gamma and bi-modal. In addition, lengthgirth (Gmax) and length-weight relationships were determined. Based on the lowest deviance/degrees of freedom ratio, the lognormal model provided the best fit for S. rivulatus catch, with modal lengths of 18.3, 20.5, and 22.7 cm, whereas the bi-modal model provided the best fit for A. sohal catch, with modal lengths of 19.30, 21.62, and 23.93 cm for 50, 56 and 62 mm mesh sizes, respectively. The length-girth relationship could be described by the linear equation: Gmax = 0.69+0.67xTL for S. rivulatus and Gmax=1.32+0.712xTL for A. sohal. The length-weight relationship could be described by the power equation: W=0.024xTL2.81 for A. sohal and W=0.015xTL2.99 for S. rivulatus. We recommend using trammel nets with a minimum inner-panel mesh size of 62 mm for the rational exploitation of the two species.
机译:使用三种不同的内部面板网孔尺寸:50、56和62 mm,研究了吉达渔业中的Acanthurus sohal和Siganus rivulatus。 SELECT方法用于计算选择性参数。拟合了五个模型来估计选择性曲线,即:正常位置,正常标度,对数正态,伽玛和双峰。另外,确定了长度(G max )和长度-重量关系。基于最低偏差/自由度比,对数正态模型最适合S. rivulatus渔获,其模态长度为18.3、20.5和22.7 cm,而双峰模型最适合拟南芥捕集器,分别针对50、56和62 mm的网眼,模态长度分别为19.30、21.62和23.93 cm。长度与围长的关系可以用线性方程描述:短吻链霉菌的G max = 0.69 + 0.67xTL,A。sohal的G max = 1.32 + 0.712xTL 。长度-重量关系可以用幂方程描述:So. sohal为W = 0.024xTL 2.81 ,而S. rivulatus为W = 0.015xTL 2.99 。我们建议使用最小内板网眼尺寸为62毫米的特拉梅尔网,以合理利用这两个物种。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号