five

Indirect estimation of contact selectivity for gill nets using hierarchical models

收藏
DataCite Commons2025-04-28 更新2025-05-07 收录
下载链接:
https://figshare.com/articles/dataset/Indirect_estimation_of_contact_selectivity_for_gill_nets_using_hierarchical_models/27633387/1
下载链接
链接失效反馈
官方服务:
资源简介:
Data used to indirectly estimate contact selectivity for experimental gillnets using walleye catches in Lake Erie as a case study. Specifically, two different configurations of experimental gill nets were fished throughout Lake Erie's western and central basins during 2007-2008 and 2011-2013. Most notably, these gear configurations differed in construction material (monofilament vs. multifilament mesh) and mesh sizes present (monofilament range = 1.5 to 7.0 inch stretch measure in 0.5 inch increments; multifilament range = 2.0 to 5.0 inch stretch measure in 0.25 inch increments), but also in other aspects such has twine diameter, too (see specific details in Vandergoot et al. 2011; Kraus et al. 2017).Data are organized into a series of individual tabs that contain set-specific abiotic information (abiotic_data), set-specific walleye catch data with length and weight observations for individual fish (raw_catch_data), summarized catches of walleye by 25-mm length bins for each mesh size present across all net sets for each gear configuration (mono_pooled_catch_data; multifilament_pooled_catch_data), catches of walleye by 25-mm length bins for each mesh size present for individual net sets for each gear configuration (mono_set_catch_data; multi_set_catch_data), and set-specific covariates used to explore correlations with estimated parameter deviations (covariates). Specific details for each tab's contents can be found in the data_dictionary tab.All R code used in analyses present in Faust et al. (2025) can be found online at https://github.com/faustmd/hierarchical_selectivity.<b>Literature cited</b>Faust, M.D., T.O. Brenden, and C.L. Cahill. <i>Accepted</i>. Indirect estimation of contact selectivity for gill nets using hierarchical models. Canadian Journal of Fisheries and Aquatic Sciences.<br>Kraus, R.T., C.S. Vandergoot, P.M. Kocovsky, M.W. Rogers, H.A. Cook, and T.O. Brenden. 2017. Reconciling catch differences from multiple fishery independent gill net surveys. Fisheries Research 188: 17-22.Vandergoot, C.S., P.M. Kocovsky, T.O. Brenden, and W. Liu. 2011. Selectivity evaluation for two experimental gill-net configurations used to sample Lake Erie walleyes. North American Journal of Fisheries Management 31: 832-842.<br><br><br><br><br>

本数据集以伊利湖(Lake Erie)白斑狗鱼(walleye)的捕捞数据为案例研究对象,用于间接估算实验刺网(gillnets)的接触选择性。具体而言,2007—2008年与2011—2013年期间,研究团队在伊利湖西部及中部湖区布设了两种不同配置的实验刺网开展捕捞作业。两种刺网的核心差异体现在网片结构材料与网目尺寸:单丝网片(monofilament)的网目拉伸尺寸范围为1.5至7.0英寸,以0.5英寸为增量逐级递增;复丝网片(multifilament)的网目拉伸尺寸范围为2.0至5.0英寸,以0.25英寸为增量逐级递增。此外,两种刺网在网线直径等其他参数方面亦存在区别,详细参数可参见Vandergoot等人2011年、Kraus等人2017年的研究文献。 本数据集以多个独立工作表(tabs)进行组织,各工作表包含的内容如下: 1. abiotic_data:收录各捕捞站位的非生物环境信息; 2. raw_catch_data:收录各捕捞站位的白斑狗鱼捕捞数据,包含单尾个体的体长与体重观测记录; 3. mono_pooled_catch_data与multifilament_pooled_catch_data:按25毫米体长组汇总的白斑狗鱼捕捞量,对应两种网具配置下所有捕捞站位中出现的各网目尺寸; 4. mono_set_catch_data与multi_set_catch_data:按25毫米体长组划分的白斑狗鱼捕捞量,对应两种网具配置下单个捕捞站位的各网目尺寸; 5. covariates:收录各捕捞站位的协变量数据,用于探究与估算参数偏差的相关性。 各工作表的具体内容细节可查阅data_dictionary工作表。 Faust等人2025年研究中分析所用的全部R代码可通过以下在线链接获取:https://github.com/faustmd/hierarchical_selectivity. <b>参考文献</b> Faust, M.D., T.O. Brenden, 与 C.L. Cahill. 已接收. 基于分层模型的刺网接触选择性间接估算. 《加拿大渔业与水产科学期刊》(Canadian Journal of Fisheries and Aquatic Sciences). <br>Kraus, R.T., C.S. Vandergoot, P.M. Kocovsky, M.W. Rogers, H.A. Cook, 与 T.O. Brenden. 2017. 多套渔业独立刺网调查捕捞量差异的调和. 《渔业研究》(Fisheries Research)188: 17-22. Vandergoot, C.S., P.M. Kocovsky, T.O. Brenden, 与 W. Liu. 2011. 用于伊利湖白斑狗鱼采样的两种实验刺网配置的选择性评估. 《北美渔业管理期刊》(North American Journal of Fisheries Management)31: 832-842. <br><br><br><br><br>
提供机构:
figshare
创建时间:
2025-04-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作