Adam C. Pope, Tobias J. Kock, Russell W. Perry, Karen M. Cogliati, Kathleen G. O’Malley, Christina A. Murphy, Dalton J. Hance, Scott D. Fielding
{"title":"使用基于亲子关系的标签估算大鳞大麻哈鱼鱼苗在大型蓄水库中的存活率","authors":"Adam C. Pope, Tobias J. Kock, Russell W. Perry, Karen M. Cogliati, Kathleen G. O’Malley, Christina A. Murphy, Dalton J. Hance, Scott D. Fielding","doi":"10.1007/s10641-024-01564-9","DOIUrl":null,"url":null,"abstract":"<p>Research efforts focusing on salmonid populations have highlighted the need to better understand demographic parameters for the fry and parr life stages. Monitoring these small fish presents a challenge because negative effects from handling and tagging can bias subsequent parameter estimates. Removal models and associated sampling designs represent one class of mark-recapture models with potential to be applied to very small juvenile salmon, yet existing methods associated with removal studies are not well-suited for all study environments. For example, populations residing in large storage reservoirs may yield low capture probabilities when subjected to removal sampling, making unbiased estimation of survival using traditional removal models difficult. To address this limitation, we developed a sampling design and associated model using parentage-based tagging in hatchery-raised juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>) to estimate survival over a 2-year study period in a large storage reservoir in western Oregon, USA. Individual fish were identified to family groups, serving as replicate batch marks in a robust design removal model framework. Results from a simulation suggested that parameter estimates were unbiased even at very low capture probabilities, although the use of model constraints (i.e., covariates or constant parameter values) was necessary to achieve this. Model fitting to field data supported a trend in survival over time, with survival increasing with time since release in the first study year but decreasing in the second.</p>","PeriodicalId":11799,"journal":{"name":"Environmental Biology of Fishes","volume":"77 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using parentage-based tagging to estimate survival of Chinook salmon fry in a large storage reservoir\",\"authors\":\"Adam C. Pope, Tobias J. Kock, Russell W. Perry, Karen M. Cogliati, Kathleen G. O’Malley, Christina A. Murphy, Dalton J. Hance, Scott D. Fielding\",\"doi\":\"10.1007/s10641-024-01564-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Research efforts focusing on salmonid populations have highlighted the need to better understand demographic parameters for the fry and parr life stages. Monitoring these small fish presents a challenge because negative effects from handling and tagging can bias subsequent parameter estimates. Removal models and associated sampling designs represent one class of mark-recapture models with potential to be applied to very small juvenile salmon, yet existing methods associated with removal studies are not well-suited for all study environments. For example, populations residing in large storage reservoirs may yield low capture probabilities when subjected to removal sampling, making unbiased estimation of survival using traditional removal models difficult. To address this limitation, we developed a sampling design and associated model using parentage-based tagging in hatchery-raised juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>) to estimate survival over a 2-year study period in a large storage reservoir in western Oregon, USA. Individual fish were identified to family groups, serving as replicate batch marks in a robust design removal model framework. Results from a simulation suggested that parameter estimates were unbiased even at very low capture probabilities, although the use of model constraints (i.e., covariates or constant parameter values) was necessary to achieve this. Model fitting to field data supported a trend in survival over time, with survival increasing with time since release in the first study year but decreasing in the second.</p>\",\"PeriodicalId\":11799,\"journal\":{\"name\":\"Environmental Biology of Fishes\",\"volume\":\"77 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Biology of Fishes\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s10641-024-01564-9\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Biology of Fishes","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10641-024-01564-9","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECOLOGY","Score":null,"Total":0}
Using parentage-based tagging to estimate survival of Chinook salmon fry in a large storage reservoir
Research efforts focusing on salmonid populations have highlighted the need to better understand demographic parameters for the fry and parr life stages. Monitoring these small fish presents a challenge because negative effects from handling and tagging can bias subsequent parameter estimates. Removal models and associated sampling designs represent one class of mark-recapture models with potential to be applied to very small juvenile salmon, yet existing methods associated with removal studies are not well-suited for all study environments. For example, populations residing in large storage reservoirs may yield low capture probabilities when subjected to removal sampling, making unbiased estimation of survival using traditional removal models difficult. To address this limitation, we developed a sampling design and associated model using parentage-based tagging in hatchery-raised juvenile Chinook salmon (Oncorhynchus tshawytscha) to estimate survival over a 2-year study period in a large storage reservoir in western Oregon, USA. Individual fish were identified to family groups, serving as replicate batch marks in a robust design removal model framework. Results from a simulation suggested that parameter estimates were unbiased even at very low capture probabilities, although the use of model constraints (i.e., covariates or constant parameter values) was necessary to achieve this. Model fitting to field data supported a trend in survival over time, with survival increasing with time since release in the first study year but decreasing in the second.
期刊介绍:
Environmental Biology of Fishes is an international journal that publishes original studies on the ecology, life history, epigenetics, behavior, physiology, morphology, systematics and evolution of marine and freshwater fishes. Empirical and theoretical papers are published that deal with the relationship between fishes and their external and internal environment, whether natural or unnatural. The journal concentrates on papers that advance the scholarly understanding of life and draw on a variety of disciplines in reaching this understanding.
Environmental Biology of Fishes publishes original papers, review papers, brief communications, editorials, book reviews and special issues. Descriptions and submission requirements of these article types can be found in the Instructions for Authors.