Matthew D. Robertson, Stephen R. Midway, Holly S. Embke, Anna L. Kaz, Mitchel Lang, Craig Paukert, Nicholas A. Sievert, Lyndsie Wszola, Abigail J. Lynch
Recreational fisheries represent a socially, ecologically, and economically significant component of global fisheries. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) database includes inland recreational fisheries survey data across the United States to facilitate large-scale analyses. However, because survey methods differ, a statistical method capable of integrating these surveys is necessary to assess patterns and relationships across regions. Here, we developed a hierarchical generalized linear mixed modeling approach to estimate the relationship between daily recreational fisheries catch and effort based on waterbody, socio-economic, and ecological covariates. We applied this approach to CreelCat data on lentic waterbodies and found that recreational fisheries catch and effort were non-linearly related (i.e., catch per unit of effort declined as effort increased), where effort varied regionally and by waterbody area, median county age, and distance to nearest primary road. This modeling approach could be used to inform data-poor regions or waterbodies, make comparisons across spatial scales, and, with the inclusion of socio-economic and ecological factors, inform management techniques in an era of shifting demographics and landscapes.
{"title":"Estimating lentic recreational fisheries catch and effort across the United States","authors":"Matthew D. Robertson, Stephen R. Midway, Holly S. Embke, Anna L. Kaz, Mitchel Lang, Craig Paukert, Nicholas A. Sievert, Lyndsie Wszola, Abigail J. Lynch","doi":"10.1111/fme.12650","DOIUrl":"10.1111/fme.12650","url":null,"abstract":"<p>Recreational fisheries represent a socially, ecologically, and economically significant component of global fisheries. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) database includes inland recreational fisheries survey data across the United States to facilitate large-scale analyses. However, because survey methods differ, a statistical method capable of integrating these surveys is necessary to assess patterns and relationships across regions. Here, we developed a hierarchical generalized linear mixed modeling approach to estimate the relationship between daily recreational fisheries catch and effort based on waterbody, socio-economic, and ecological covariates. We applied this approach to CreelCat data on lentic waterbodies and found that recreational fisheries catch and effort were non-linearly related (i.e., catch per unit of effort declined as effort increased), where effort varied regionally and by waterbody area, median county age, and distance to nearest primary road. This modeling approach could be used to inform data-poor regions or waterbodies, make comparisons across spatial scales, and, with the inclusion of socio-economic and ecological factors, inform management techniques in an era of shifting demographics and landscapes.</p>","PeriodicalId":50444,"journal":{"name":"Fisheries Management and Ecology","volume":"31 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46569813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laura M. MacPherson, Jessica R. Reilly, Kenton R. Neufeld, Michael G. Sullivan, Andrew J. Paul, Fiona D. Johnston
Complexity of addressing cumulative effects that vary in space and time, especially for species occupying large ranges, makes conservation and recovery of populations difficult. In Alberta, declines of all three native stream trout species led to them being listed as species at risk. We developed a novel, semi-quantitative cumulative effects modelling process to quantify threats using stressor-response curves with a single common response scale, wherein inputs were determined for each population, and outputs were used to create population-specific recovery action hypotheses to inform management. Using a case study of bull trout recovery in Rocky Creek, Alberta, we tested these hypotheses using a before–after control-impacted design. Recovery actions positively affected bull trout, and the modelling approach provided insight into threats (sedimentation and angling effort) that most likely limited the population.
{"title":"Prioritizing bull trout recovery actions using a novel cumulative effects modelling framework","authors":"Laura M. MacPherson, Jessica R. Reilly, Kenton R. Neufeld, Michael G. Sullivan, Andrew J. Paul, Fiona D. Johnston","doi":"10.1111/fme.12649","DOIUrl":"10.1111/fme.12649","url":null,"abstract":"<p>Complexity of addressing cumulative effects that vary in space and time, especially for species occupying large ranges, makes conservation and recovery of populations difficult. In Alberta, declines of all three native stream trout species led to them being listed as species at risk. We developed a novel, semi-quantitative cumulative effects modelling process to quantify threats using stressor-response curves with a single common response scale, wherein inputs were determined for each population, and outputs were used to create population-specific recovery action hypotheses to inform management. Using a case study of bull trout recovery in Rocky Creek, Alberta, we tested these hypotheses using a before–after control-impacted design. Recovery actions positively affected bull trout, and the modelling approach provided insight into threats (sedimentation and angling effort) that most likely limited the population.</p>","PeriodicalId":50444,"journal":{"name":"Fisheries Management and Ecology","volume":"31 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/fme.12649","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47347781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Timo D. Rittweg, Clive Trueman, Elias Ehrlich, Michael Wiedenbeck, Robert Arlinghaus
<p>Accurate age estimates are crucial for assessing the life-histories of fish and providing management advice, but validation studies are rare for many species. We corroborated age estimates with annual cycles of oxygen isotopes (δ<sup>18</sup>O) in otoliths of 86 northern pike (<i>Esox lucius</i>) from the southern Baltic Sea, compared results with visual age estimates from scales and otoliths, and assessed bias introduced by different age-estimation structures on von Bertalanffy growth models and age-structured population models. Age estimates from otoliths were accurate, while age estimates from scales significantly underestimated the age of pike older than 6 years compared to the corroborated reference age. Asymptotic length (<math>