Development and evaluation of a regression-based model to predict cesium concentration ratios for freshwater fish
Data from published studies and World Wide Web sources were combined to produce and test a regression model to predict Cs concentration ratios for freshwater fish species. The accuracies of predicted concentration ratios, which were computed using 1) species trophic levels obtained from random resam...
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| Veröffentlicht in: | Journal of environmental radioactivity 2014-08, Vol.134, p.89-98 |
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| creator | Pinder, John E. Rowan, David J. Rasmussen, Joseph B. Smith, Jim T. Hinton, Thomas G. Whicker, F.W. |
| description | Data from published studies and World Wide Web sources were combined to produce and test a regression model to predict Cs concentration ratios for freshwater fish species. The accuracies of predicted concentration ratios, which were computed using 1) species trophic levels obtained from random resampling of known food items and 2) K concentrations in the water for 207 fish from 44 species and 43 locations, were tested against independent observations of ratios for 57 fish from 17 species from 25 locations. Accuracy was assessed as the percent of observed to predicted ratios within factors of 2 or 3. Conservatism, expressed as the lack of under prediction, was assessed as the percent of observed to predicted ratios that were less than 2 or less than 3. The model's median observed to predicted ratio was 1.26, which was not significantly different from 1, and 50% of the ratios were between 0.73 and 1.85. The percentages of ratios within factors of 2 or 3 were 67 and 82%, respectively. The percentages of ratios that were |
| doi_str_mv | 10.1016/j.jenvrad.2014.03.003 |
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•We developed a model to predict Cs concentration ratios for freshwater fish species.•The model uses only two variables to predict a species CR for any location.•One variable is the K concentration in the freshwater.•The other is a species mean trophic level measure easily obtained from fishbase.org.•The median observed to predicted ratio for 57 independent test cases was 1.26.</description><identifier>ISSN: 0265-931X</identifier><identifier>EISSN: 1879-1700</identifier><identifier>DOI: 10.1016/j.jenvrad.2014.03.003</identifier><identifier>PMID: 24699402</identifier><identifier>CODEN: JERAEE</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Animal, plant and microbial ecology ; Animals ; Applied ecology ; Biological and medical sciences ; Cesium - analysis ; Cs concentration ratios ; Ecotoxicology, biological effects of pollution ; Fishes - metabolism ; Fresh Water ; Fresh water environment ; Freshwater ; Freshwater fish ; Fundamental and applied biological sciences. Psychology ; K concentrations ; Life Sciences ; Perca fluviatilis ; Predictive model ; Regression ; Techniques ; Trophic levels</subject><ispartof>Journal of environmental radioactivity, 2014-08, Vol.134, p.89-98</ispartof><rights>2014 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 Elsevier Ltd. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-d460c1e4393ba7177d4283ee955f1edf0cad4be0f51ea324538f1dfe81e06d1a3</citedby><cites>FETCH-LOGICAL-c509t-d460c1e4393ba7177d4283ee955f1edf0cad4be0f51ea324538f1dfe81e06d1a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0265931X14000812$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28509699$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24699402$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02614041$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Pinder, John E.</creatorcontrib><creatorcontrib>Rowan, David J.</creatorcontrib><creatorcontrib>Rasmussen, Joseph B.</creatorcontrib><creatorcontrib>Smith, Jim T.</creatorcontrib><creatorcontrib>Hinton, Thomas G.</creatorcontrib><creatorcontrib>Whicker, F.W.</creatorcontrib><title>Development and evaluation of a regression-based model to predict cesium concentration ratios for freshwater fish</title><title>Journal of environmental radioactivity</title><addtitle>J Environ Radioact</addtitle><description>Data from published studies and World Wide Web sources were combined to produce and test a regression model to predict Cs concentration ratios for freshwater fish species. The accuracies of predicted concentration ratios, which were computed using 1) species trophic levels obtained from random resampling of known food items and 2) K concentrations in the water for 207 fish from 44 species and 43 locations, were tested against independent observations of ratios for 57 fish from 17 species from 25 locations. Accuracy was assessed as the percent of observed to predicted ratios within factors of 2 or 3. Conservatism, expressed as the lack of under prediction, was assessed as the percent of observed to predicted ratios that were less than 2 or less than 3. The model's median observed to predicted ratio was 1.26, which was not significantly different from 1, and 50% of the ratios were between 0.73 and 1.85. The percentages of ratios within factors of 2 or 3 were 67 and 82%, respectively. The percentages of ratios that were <2 or <3 were 79 and 88%, respectively. An example for Perca fluviatilis demonstrated that increased prediction accuracy could be obtained when more detailed knowledge of diet was available to estimate trophic level.
•We developed a model to predict Cs concentration ratios for freshwater fish species.•The model uses only two variables to predict a species CR for any location.•One variable is the K concentration in the freshwater.•The other is a species mean trophic level measure easily obtained from fishbase.org.•The median observed to predicted ratio for 57 independent test cases was 1.26.</description><subject>Animal, plant and microbial ecology</subject><subject>Animals</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>Cesium - analysis</subject><subject>Cs concentration ratios</subject><subject>Ecotoxicology, biological effects of pollution</subject><subject>Fishes - metabolism</subject><subject>Fresh Water</subject><subject>Fresh water environment</subject><subject>Freshwater</subject><subject>Freshwater fish</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>K concentrations</subject><subject>Life Sciences</subject><subject>Perca fluviatilis</subject><subject>Predictive model</subject><subject>Regression</subject><subject>Techniques</subject><subject>Trophic levels</subject><issn>0265-931X</issn><issn>1879-1700</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1v1DAQhiMEotvCTwD5gkQPCTOx83VCVfko0kpcQOJmee0x61USb-0kiH-PlyzlCKexR887M3rfLHuBUCBg_eZQHGhcgjJFCSgK4AUAf5RtsG26HBuAx9kGyrrKO47fLrLLGA8Aqd-WT7OLUtRdJ6DcZPfvaKHeHwcaJ6ZGw2hR_awm50fmLVMs0PdAMaZ_vlORDBu8oZ5Nnh0DGacnpim6eWDajzoNCav2d4nM-sBs0u9_qInS08X9s-yJVX2k5-d6lX398P7L7V2-_fzx0-3NNtcVdFNuRA0aSfCO71SDTWNE2XKirqoskrGglRE7AlshKV6KircWjaUWCWqDil9l1-vcverlMbhBhZ_SKyfvbrby1EvuoACBCyb29coeg7-fKU5ycFFT36uR_BwlVjUg5x2W_4GWdcOrRtQJrVZUBx9jIPtwBoI8hSgP8hyiPIUogcsUYtK9PK-YdwOZB9Wf1BLw6gyoqFVvgxq1i3-5NjmY0MS9XTlKPi-OgozaUYrJuEB6ksa7f5zyCx_1vis</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Pinder, John E.</creator><creator>Rowan, David J.</creator><creator>Rasmussen, Joseph B.</creator><creator>Smith, Jim T.</creator><creator>Hinton, Thomas G.</creator><creator>Whicker, F.W.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QH</scope><scope>7ST</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>H97</scope><scope>L.G</scope><scope>SOI</scope><scope>1XC</scope></search><sort><creationdate>20140801</creationdate><title>Development and evaluation of a regression-based model to predict cesium concentration ratios for freshwater fish</title><author>Pinder, John E. ; Rowan, David J. ; Rasmussen, Joseph B. ; Smith, Jim T. ; Hinton, Thomas G. ; Whicker, F.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-d460c1e4393ba7177d4283ee955f1edf0cad4be0f51ea324538f1dfe81e06d1a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Animals</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>Cesium - analysis</topic><topic>Cs concentration ratios</topic><topic>Ecotoxicology, biological effects of pollution</topic><topic>Fishes - metabolism</topic><topic>Fresh Water</topic><topic>Fresh water environment</topic><topic>Freshwater</topic><topic>Freshwater fish</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>K concentrations</topic><topic>Life Sciences</topic><topic>Perca fluviatilis</topic><topic>Predictive model</topic><topic>Regression</topic><topic>Techniques</topic><topic>Trophic levels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pinder, John E.</creatorcontrib><creatorcontrib>Rowan, David J.</creatorcontrib><creatorcontrib>Rasmussen, Joseph B.</creatorcontrib><creatorcontrib>Smith, Jim T.</creatorcontrib><creatorcontrib>Hinton, Thomas G.</creatorcontrib><creatorcontrib>Whicker, F.W.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of environmental radioactivity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pinder, John E.</au><au>Rowan, David J.</au><au>Rasmussen, Joseph B.</au><au>Smith, Jim T.</au><au>Hinton, Thomas G.</au><au>Whicker, F.W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and evaluation of a regression-based model to predict cesium concentration ratios for freshwater fish</atitle><jtitle>Journal of environmental radioactivity</jtitle><addtitle>J Environ Radioact</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>134</volume><spage>89</spage><epage>98</epage><pages>89-98</pages><issn>0265-931X</issn><eissn>1879-1700</eissn><coden>JERAEE</coden><abstract>Data from published studies and World Wide Web sources were combined to produce and test a regression model to predict Cs concentration ratios for freshwater fish species. The accuracies of predicted concentration ratios, which were computed using 1) species trophic levels obtained from random resampling of known food items and 2) K concentrations in the water for 207 fish from 44 species and 43 locations, were tested against independent observations of ratios for 57 fish from 17 species from 25 locations. Accuracy was assessed as the percent of observed to predicted ratios within factors of 2 or 3. Conservatism, expressed as the lack of under prediction, was assessed as the percent of observed to predicted ratios that were less than 2 or less than 3. The model's median observed to predicted ratio was 1.26, which was not significantly different from 1, and 50% of the ratios were between 0.73 and 1.85. The percentages of ratios within factors of 2 or 3 were 67 and 82%, respectively. The percentages of ratios that were <2 or <3 were 79 and 88%, respectively. An example for Perca fluviatilis demonstrated that increased prediction accuracy could be obtained when more detailed knowledge of diet was available to estimate trophic level.
•We developed a model to predict Cs concentration ratios for freshwater fish species.•The model uses only two variables to predict a species CR for any location.•One variable is the K concentration in the freshwater.•The other is a species mean trophic level measure easily obtained from fishbase.org.•The median observed to predicted ratio for 57 independent test cases was 1.26.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>24699402</pmid><doi>10.1016/j.jenvrad.2014.03.003</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of environmental radioactivity, 2014-08, Vol.134, p.89-98 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Animal, plant and microbial ecology Animals Applied ecology Biological and medical sciences Cesium - analysis Cs concentration ratios Ecotoxicology, biological effects of pollution Fishes - metabolism Fresh Water Fresh water environment Freshwater Freshwater fish Fundamental and applied biological sciences. Psychology K concentrations Life Sciences Perca fluviatilis Predictive model Regression Techniques Trophic levels |
| title | Development and evaluation of a regression-based model to predict cesium concentration ratios for freshwater fish |
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