Data In Support Of Accounting For Spatio-Temporal Variation In Catachability In Joint Species Distribution Models

Fish data on six species (black crappie (Pomoxis nigromaculatus), bluegill (Lepomis macrochirus), largemouth bass (Micropterus salmoides), northern pike (Esox lucius), walleye (Sander vitreus), and yellow perch (perca flavescens)) caught in gill nets and trap nets between 2000 and 2019 during Minnesota Department of Natural Resources (MNDNR) fisheries surveys done in the months of June through September. Fish catch and effort (number of nets set overnight) comes from over 1,000 Minnesota lakes. In addition to fisheries data, we included additional information concerning lake characteristics, predicted water temperature, and watershed land use. Lake area and maximum depth were obtained from MNDNR public databases. Watershed land use was calculated using the 2016 National Land Cover Database. Water clarity, which is described by annual lake-specific median values derived from remotely sensed Secchi depth courtesy of Max Gilnes. Lastly, water temperatures simulated with the general lake model were also included. Data is now being released as part of the publication process related to the paper that references this data; which is listed below.

本数据集收录了2000年至2019年间，明尼苏达州自然资源部(Minnesota Department of Natural Resources, MNDNR)于6至9月开展的渔业调查中，利用刺网(gill nets)与陷阱网(trap nets)捕获的6种鱼类数据，具体包括黑刺盖太阳鱼(Pomoxis nigromaculatus)、蓝鳃太阳鱼(Lepomis macrochirus)、大口黑鲈(Micropterus salmoides)、白斑狗鱼(Esox lucius)、白斑梭鲈(Sander vitreus)以及黄鲈(Perca flavescens)。渔获量与捕捞努力量(夜间布设网具的数量)数据源自超过1000个明尼苏达州湖泊。除渔业调查数据外，本数据集还补充纳入了湖泊特征、预测水温及流域土地利用相关信息：湖泊面积与最大水深取自MNDNR公开数据库；流域土地利用数据基于2016年全国土地覆盖数据库(National Land Cover Database)计算获得；水体透明度采用马克斯·吉尔尼斯(Max Gilnes)提供的遥感塞氏深度(Secchi depth)数据推导得到的湖泊年度中位值来表征；此外还纳入了通过通用湖泊模型模拟得到的水温数据。本数据集随引用本数据的相关研究论文的出版流程同步发布，相关论文信息如下。