<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>     naa a22        4500</leader>
  <controlfield tag="001">510752373</controlfield>
  <controlfield tag="003">CHVBK</controlfield>
  <controlfield tag="005">20180411083109.0</controlfield>
  <controlfield tag="007">cr unu---uuuuu</controlfield>
  <controlfield tag="008">180411e20130201xx      s     000 0 eng  </controlfield>
  <datafield tag="024" ind1="7" ind2="0">
   <subfield code="a">10.1007/s11270-012-1423-y</subfield>
   <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(NATIONALLICENCE)springer-10.1007/s11270-012-1423-y</subfield>
  </datafield>
  <datafield tag="245" ind1="0" ind2="0">
   <subfield code="a">Bioavailability and Analytical Measurement of Copper Residuals in Sediments</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Ben Willis, Bethany Alley, John Rodgers Jr.]</subfield>
  </datafield>
  <datafield tag="520" ind1="3" ind2=" ">
   <subfield code="a">Analytical measurements are commonly used to screen for toxicity or lack of toxicity from sediment-associated copper. Comparisons of analytical measurements with toxicological responses can be useful for determining the practicality of analytical measurements for assessing the toxicity of copper in sediments. The purpose of this research was to determine the utility of method detection limits (MDLs; i.e., minimum concentration of an analyte such as copper that can be measured with 99% confidence with a specific analytical method and matrix) to predict the bioavailability of copper in five different sediments. The specific objectives of this research were to (1) select and characterize five sediments with different characteristics, (2) amend and measure a range of copper concentrations in the five sediments to determine MDLs and bioavailability of copper amendments in those sediments, (3) discern relationships with sediment characteristics to MDLs and bioavailability of copper in the five sediments, and (4) compare MDLs and observed toxicity to Hyalella azteca Saussure as an indicator of copper bioavailability in the five sediments. The lowest copper concentrations that elicited an observable adverse effect ranged from 15 to 550mg Cu/kg, and the MDLs ranged from 1.5 to 6mg Cu/kg. The MDLs and measured copper concentrations were not adequately predictive of the bioavailability and toxicity of copper in the five sediments. No adverse effects were observed for H. azteca exposed for 10days to the sediment from California with simultaneously extractable metals &gt; acid-volatile sulfides. Since the lowest observed effects concentrations of copper in the five sediments ranged two orders of magnitude, the National Oceanic and Atmospheric Administration screening values (threshold and probable effect levels) were not predictive of H. azteca responses to the copper-amended sediments.</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
   <subfield code="a">Springer Science+Business Media Dordrecht, 2013</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Toxicity</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Method detection limit</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Accumulation</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">Risks</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Willis</subfield>
   <subfield code="D">Ben</subfield>
   <subfield code="u">School of Agricultural, Forest, and Environmental Sciences, Clemson University, 261 Lehotsky Hall, 29634, Clemson, SC, USA</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Alley</subfield>
   <subfield code="D">Bethany</subfield>
   <subfield code="u">School of Agricultural, Forest, and Environmental Sciences, Clemson University, 261 Lehotsky Hall, 29634, Clemson, SC, USA</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Rodgers Jr.</subfield>
   <subfield code="D">John</subfield>
   <subfield code="u">School of Agricultural, Forest, and Environmental Sciences, Clemson University, 261 Lehotsky Hall, 29634, Clemson, SC, USA</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
   <subfield code="t">Water, Air, &amp; Soil Pollution</subfield>
   <subfield code="d">Springer Netherlands</subfield>
   <subfield code="g">224/2(2013-02-01), 1-10</subfield>
   <subfield code="x">0049-6979</subfield>
   <subfield code="q">224:2&lt;1</subfield>
   <subfield code="1">2013</subfield>
   <subfield code="2">224</subfield>
   <subfield code="o">11270</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="u">https://doi.org/10.1007/s11270-012-1423-y</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="908" ind1=" " ind2=" ">
   <subfield code="D">1</subfield>
   <subfield code="a">research-article</subfield>
   <subfield code="2">jats</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">856</subfield>
   <subfield code="E">40</subfield>
   <subfield code="u">https://doi.org/10.1007/s11270-012-1423-y</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Willis</subfield>
   <subfield code="D">Ben</subfield>
   <subfield code="u">School of Agricultural, Forest, and Environmental Sciences, Clemson University, 261 Lehotsky Hall, 29634, Clemson, SC, USA</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Alley</subfield>
   <subfield code="D">Bethany</subfield>
   <subfield code="u">School of Agricultural, Forest, and Environmental Sciences, Clemson University, 261 Lehotsky Hall, 29634, Clemson, SC, USA</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Rodgers Jr</subfield>
   <subfield code="D">John</subfield>
   <subfield code="u">School of Agricultural, Forest, and Environmental Sciences, Clemson University, 261 Lehotsky Hall, 29634, Clemson, SC, USA</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">773</subfield>
   <subfield code="E">0-</subfield>
   <subfield code="t">Water, Air, &amp; Soil Pollution</subfield>
   <subfield code="d">Springer Netherlands</subfield>
   <subfield code="g">224/2(2013-02-01), 1-10</subfield>
   <subfield code="x">0049-6979</subfield>
   <subfield code="q">224:2&lt;1</subfield>
   <subfield code="1">2013</subfield>
   <subfield code="2">224</subfield>
   <subfield code="o">11270</subfield>
  </datafield>
  <datafield tag="900" ind1=" " ind2="7">
   <subfield code="a">Metadata rights reserved</subfield>
   <subfield code="b">Springer special CC-BY-NC licence</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="898" ind1=" " ind2=" ">
   <subfield code="a">BK010053</subfield>
   <subfield code="b">XK010053</subfield>
   <subfield code="c">XK010000</subfield>
  </datafield>
  <datafield tag="949" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="F">NATIONALLICENCE</subfield>
   <subfield code="b">NL-springer</subfield>
  </datafield>
 </record>
</collection>
