{"title":"影响上萨斯奎哈纳河(Upper Susquehanna River)河眼(Sander玻璃体)年级班级实力的因素","authors":"Robert T. Wnuk","doi":"10.5325/jpennacadscie.88.1.0020","DOIUrl":null,"url":null,"abstract":"\n Age-0 Walleye were monitored in the upper Susquehanna River from 1995 through 2010. I used these data to examine factors that influenced year class strength and to construct a predictive model. Mean river flow in May demonstrated the strongest relationship with year class strength (r2 = 0.57). A model consisting of May flow, June flow, and July air temperature explained 86.7% of the variation in the data from 1995 through 2006. This model successfully predicted Walleye year class strength for data from 2007 through 2010 (mean prediction error = 13.1/hr).","PeriodicalId":85037,"journal":{"name":"Journal of the Pennsylvania Academy of Science","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors Influencing Walleye (Sander vitreus) Year Class Strength in the Upper Susquehanna River\",\"authors\":\"Robert T. Wnuk\",\"doi\":\"10.5325/jpennacadscie.88.1.0020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Age-0 Walleye were monitored in the upper Susquehanna River from 1995 through 2010. I used these data to examine factors that influenced year class strength and to construct a predictive model. Mean river flow in May demonstrated the strongest relationship with year class strength (r2 = 0.57). A model consisting of May flow, June flow, and July air temperature explained 86.7% of the variation in the data from 1995 through 2006. This model successfully predicted Walleye year class strength for data from 2007 through 2010 (mean prediction error = 13.1/hr).\",\"PeriodicalId\":85037,\"journal\":{\"name\":\"Journal of the Pennsylvania Academy of Science\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Pennsylvania Academy of Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5325/jpennacadscie.88.1.0020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Pennsylvania Academy of Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5325/jpennacadscie.88.1.0020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Factors Influencing Walleye (Sander vitreus) Year Class Strength in the Upper Susquehanna River
Age-0 Walleye were monitored in the upper Susquehanna River from 1995 through 2010. I used these data to examine factors that influenced year class strength and to construct a predictive model. Mean river flow in May demonstrated the strongest relationship with year class strength (r2 = 0.57). A model consisting of May flow, June flow, and July air temperature explained 86.7% of the variation in the data from 1995 through 2006. This model successfully predicted Walleye year class strength for data from 2007 through 2010 (mean prediction error = 13.1/hr).