{"title":"空间调查力度减少对白令海东部海底温度指数的影响","authors":"C. Yeung, S. Kotwicki, S. Rohan","doi":"10.7755/fb.121.3.5","DOIUrl":null,"url":null,"abstract":"— Bottom temperature is routinely measured as part of the bottom-trawl survey conducted every summer on the continental shelf of the eastern Bering Sea by the NOAA Alaska Fisheries Science Center. These data are widely used in ecosystem, stock assessment, and ocean modeling. We assessed the effect of alternative sampling designs and effort reduction on the quality of bottom-temperature information from the survey. Simple-random and stratified-random sampling were simulated and compared with the systematic sampling of fixed stations in the regular grid used in the standard survey, with respect to the use of survey data in the estimation of bottom temperatures and related indices. The effort simulated ranged from 34% to 100% of the full effort. In the simulated surveys, the use of each of the 3 sampling designs resulted in values of bottom-temperature metrics that are close to those from the real survey, even with as little as half the effort. Lower effort resulted in larger and more variable prediction errors of the indices. The decrease in prediction performance is most noticeable at the 34% effort level. Systematic sampling performed slightly better than simple-random and stratified-random sampling. One reason for this difference in performance is that random sampling may have been less effective than the standard sampling in capturing a small cold pool that is characteristic of the current warm ocean state.","PeriodicalId":50442,"journal":{"name":"Fishery Bulletin","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of reduction in spatial survey effort on indices of bottom temperature for the eastern Bering Sea\",\"authors\":\"C. Yeung, S. Kotwicki, S. Rohan\",\"doi\":\"10.7755/fb.121.3.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"— Bottom temperature is routinely measured as part of the bottom-trawl survey conducted every summer on the continental shelf of the eastern Bering Sea by the NOAA Alaska Fisheries Science Center. These data are widely used in ecosystem, stock assessment, and ocean modeling. We assessed the effect of alternative sampling designs and effort reduction on the quality of bottom-temperature information from the survey. Simple-random and stratified-random sampling were simulated and compared with the systematic sampling of fixed stations in the regular grid used in the standard survey, with respect to the use of survey data in the estimation of bottom temperatures and related indices. The effort simulated ranged from 34% to 100% of the full effort. In the simulated surveys, the use of each of the 3 sampling designs resulted in values of bottom-temperature metrics that are close to those from the real survey, even with as little as half the effort. Lower effort resulted in larger and more variable prediction errors of the indices. The decrease in prediction performance is most noticeable at the 34% effort level. Systematic sampling performed slightly better than simple-random and stratified-random sampling. One reason for this difference in performance is that random sampling may have been less effective than the standard sampling in capturing a small cold pool that is characteristic of the current warm ocean state.\",\"PeriodicalId\":50442,\"journal\":{\"name\":\"Fishery Bulletin\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fishery Bulletin\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.7755/fb.121.3.5\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"FISHERIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fishery Bulletin","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.7755/fb.121.3.5","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FISHERIES","Score":null,"Total":0}
Effect of reduction in spatial survey effort on indices of bottom temperature for the eastern Bering Sea
— Bottom temperature is routinely measured as part of the bottom-trawl survey conducted every summer on the continental shelf of the eastern Bering Sea by the NOAA Alaska Fisheries Science Center. These data are widely used in ecosystem, stock assessment, and ocean modeling. We assessed the effect of alternative sampling designs and effort reduction on the quality of bottom-temperature information from the survey. Simple-random and stratified-random sampling were simulated and compared with the systematic sampling of fixed stations in the regular grid used in the standard survey, with respect to the use of survey data in the estimation of bottom temperatures and related indices. The effort simulated ranged from 34% to 100% of the full effort. In the simulated surveys, the use of each of the 3 sampling designs resulted in values of bottom-temperature metrics that are close to those from the real survey, even with as little as half the effort. Lower effort resulted in larger and more variable prediction errors of the indices. The decrease in prediction performance is most noticeable at the 34% effort level. Systematic sampling performed slightly better than simple-random and stratified-random sampling. One reason for this difference in performance is that random sampling may have been less effective than the standard sampling in capturing a small cold pool that is characteristic of the current warm ocean state.
期刊介绍:
The quarterly Fishery Bulletin is one of the oldest and most respected fisheries journals in the world. It has been an official publication of the U.S. Government since 1881, under various titles, and is the U.S. counterpart to other highly regarded governmental fisheries science publications. It publishes original research and interpretative articles in all scientific fields that bear on marine fisheries and marine mammal science.