Fábio Ricardo da Rosa, E. Avigliano, Fabrice Duponchelle, Luciana Alves Pereira, M. Hauser, L. S. A. Barroco, Carlos Edwar de Carvalho Freitas, R. Sousa
{"title":"对耳石中的 87Sr/86Sr 比率进行元分析,以确定鱼类移动的阈值","authors":"Fábio Ricardo da Rosa, E. Avigliano, Fabrice Duponchelle, Luciana Alves Pereira, M. Hauser, L. S. A. Barroco, Carlos Edwar de Carvalho Freitas, R. Sousa","doi":"10.20950/1678-2305/bip.2023.49.e832","DOIUrl":null,"url":null,"abstract":"Unpublished data were combined with a literature review to test a hypothesis of whether there is a pattern for classifying fish as “movers” or “residents” according to variability in strontium isotope ( 87 Sr/ 86 Sr) ratios in otoliths as a function of its environmental fingerprint. The variability in Sr ratios found in the otoliths of fish specimens as a percentage of isotopic environmental variability was used to determine the intensity of movement in a given study area (POEVSri index). A classic meta-analysis and a frequentist regression were applied to obtain a logistic model to describe the pattern. The meta-analysis returned a POEVSri limit of 28.95% for sedentary individuals and the logistic model shows a high probability of movement for POEVSri indices over 32%. There is a gradient of movement probabilities in the POEVSri interval from 8 to 32%, with each class having equal odds when POEVSri is approximately 20%. Regarding applicability for future studies, if aspects such as sufficient spatial and seasonal water sampling are addressed, the model provides two different thresholds for fish: a priori “movers” are those with POEVSri ≥ 32%, and resident fish have POEVSri ≤ 8%.","PeriodicalId":9062,"journal":{"name":"Boletim do Instituto de Pesca","volume":"233 8","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Meta-analysis of 87Sr/86Sr ratios in otoliths to establish thresholds for determining fish movement\",\"authors\":\"Fábio Ricardo da Rosa, E. Avigliano, Fabrice Duponchelle, Luciana Alves Pereira, M. Hauser, L. S. A. Barroco, Carlos Edwar de Carvalho Freitas, R. Sousa\",\"doi\":\"10.20950/1678-2305/bip.2023.49.e832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Unpublished data were combined with a literature review to test a hypothesis of whether there is a pattern for classifying fish as “movers” or “residents” according to variability in strontium isotope ( 87 Sr/ 86 Sr) ratios in otoliths as a function of its environmental fingerprint. The variability in Sr ratios found in the otoliths of fish specimens as a percentage of isotopic environmental variability was used to determine the intensity of movement in a given study area (POEVSri index). A classic meta-analysis and a frequentist regression were applied to obtain a logistic model to describe the pattern. The meta-analysis returned a POEVSri limit of 28.95% for sedentary individuals and the logistic model shows a high probability of movement for POEVSri indices over 32%. There is a gradient of movement probabilities in the POEVSri interval from 8 to 32%, with each class having equal odds when POEVSri is approximately 20%. Regarding applicability for future studies, if aspects such as sufficient spatial and seasonal water sampling are addressed, the model provides two different thresholds for fish: a priori “movers” are those with POEVSri ≥ 32%, and resident fish have POEVSri ≤ 8%.\",\"PeriodicalId\":9062,\"journal\":{\"name\":\"Boletim do Instituto de Pesca\",\"volume\":\"233 8\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Boletim do Instituto de Pesca\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.20950/1678-2305/bip.2023.49.e832\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"FISHERIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Boletim do Instituto de Pesca","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.20950/1678-2305/bip.2023.49.e832","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FISHERIES","Score":null,"Total":0}
Meta-analysis of 87Sr/86Sr ratios in otoliths to establish thresholds for determining fish movement
Unpublished data were combined with a literature review to test a hypothesis of whether there is a pattern for classifying fish as “movers” or “residents” according to variability in strontium isotope ( 87 Sr/ 86 Sr) ratios in otoliths as a function of its environmental fingerprint. The variability in Sr ratios found in the otoliths of fish specimens as a percentage of isotopic environmental variability was used to determine the intensity of movement in a given study area (POEVSri index). A classic meta-analysis and a frequentist regression were applied to obtain a logistic model to describe the pattern. The meta-analysis returned a POEVSri limit of 28.95% for sedentary individuals and the logistic model shows a high probability of movement for POEVSri indices over 32%. There is a gradient of movement probabilities in the POEVSri interval from 8 to 32%, with each class having equal odds when POEVSri is approximately 20%. Regarding applicability for future studies, if aspects such as sufficient spatial and seasonal water sampling are addressed, the model provides two different thresholds for fish: a priori “movers” are those with POEVSri ≥ 32%, and resident fish have POEVSri ≤ 8%.
期刊介绍:
To publish original articles of research and short communications in the following áreas: Fisheries, Aquaculture, Zootechnology, Limnology, Oceanography, Biology and Pathology of aquatic organisms. The publication depends on the approval of the Editorial Board, based on the peer review.