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|a Newman, Michael C.
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|a Quantitative ecotoxicology /
|c Michael C. Newman.
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|a 2nd ed.
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|a Boca Raton, FL :
|b Taylor & Francis,
|c 2012.
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|a 1 online resource
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|a "This book provides a quantitative treatment of the science of ecotoxicology. The first chapters consider fundamental concepts and definitions essential to understanding the fate and effects of toxicants at various levels of ecological organization as covered in the remaining chapters. Scientific ecotoxicology and associated topics are defined. The historical perspective, rationale, and characteristics are outlined for the strong inferential and quantitative approach advocated in this book. The general measurement process is discussed, and methodologies for defining and controlling variance, which could otherwise exclude valid conclusions regarding ecotoxicological endeavors, are considered. Ecotoxicological concepts at increasing levels of ecological organization are discussed in the second part of the book. Quantitative methods used to measure toxicant effects are outlined in this section. The final chapter summarizes the book with a brief discussion of ecotoxicological assessment. Numerous figures and tables accompany text, with many statistical tables found in the appendix for quick reference. Although the book primarily focuses on aquatic systems, with appropriate modification the concepts and methods can be applied to terrestrial systems"--
|c Provided by publisher
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|a Includes bibliographical references and index.
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|a Print version record.
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|a Introduction; Ecotoxicology as a Scientific Discipline; Toxicants and Biosphere; Toxicant Effects in Ecosystems; Toxicant Fate in Ecosystems; Organization of Knowledge Based on Explanatory Principles; Bayesian Inference; Toward Strongest Possible Inference and Clear Ecological Relevance; References; ; The Measurement Process ; General; Regions of Quantitation; Blank Correction; Accuracy and Precision; Variance Structure; Sample Size; Outliers; Summary; References; ; Bioaccumulation ; General Modeling Bioaccumulation: General Approach; Modeling Bioaccumulation: Alternative Approaches; Intrinsic Factors Affecting Bioaccumulation; Summary; References; ; Lethal and Other Quantal Responses to Stress ; General; Dose-Response at a Set Endpoint; Time to Death; Quantifying the Effects of Extrinsic Factors; Quantifying Effects of Intrinsic
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|a Factors; Toxicant Mixtures; Summary; References; ; Statistical Tests for Detection of Chronic Lethal and Sublethal Stress ; General; Method Selection; One-Way Analysis of Variance; Test of Normality: Shapiro-Wilk's Test; Test for Homogeneity of Variances: Bartlett's Test; Treatment Means Compared to the Control Mean; Monotonic Trend: Williams's Test; Steel's Multiple Treatment-Control Rank Sum Test; Wilcoxon Rank Sum Test with Bonferroni's Adjustment; A Second Look at Statistical Testing; Inferring Biological Significance from Statistical Significance; Summary; References; ; Population and Metapopulation Effects ; General; Epidemiology; Population Size; Demography; Spatial Distribution of Individuals; Population Genetics; Summary; References; ; Community Effects; General; Simple Species Interactions; Community Structure and Function; Composite
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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|a Pollution
|x Measurement.
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|a Environmental toxicology
|x Mathematics.
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|a Pollution.
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|a Ecotoxicology
|x methods
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|a Environmental Pollution
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|a Pollution
|x Mesure.
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|a Écotoxicologie
|x Mathématiques.
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|a Pollution.
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|a SCIENCE
|x Environmental Science.
|2 bisacsh
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|i has work:
|a Quantitative ecotoxicology (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH9whxKmFxCvMKWXb88HRX
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Print version:
|a Newman, Michael C.
|t Quantitative ecotoxicology.
|b 2nd ed.
|d Boca Raton, FL : Taylor & Francis, 2012
|z 9781439835647
|w (DLC) 2012021096
|w (OCoLC)462926155
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1010259
|z Texto completo
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|6 505-00/(S
|a <P><STRONG>Introduction<BR></STRONG>Ecotoxicology as a Scientific Discipline<BR>Toxicants and Biosphere<BR>Toxicant Effects in Ecosystems<BR>Toxicant Fate in Ecosystems<BR>Organization of Knowledge Based on Explanatory Principles<BR>Bayesian Inference<BR>Toward Strongest Possible Inference and Clear Ecological Relevance<BR>References<BR><BR><STRONG>The Measurement Process</STRONG><BR>General<BR>Regions of Quantitation<BR>Blank Correction<BR>Accuracy and Precision<BR>Variance Structure<BR>Sample Size<BR>Outliers<BR>Summary<BR>References<BR><BR><STRONG>Bioaccumulation</STRONG><BR>General</P><P>Modeling Bioaccumulation: General Approach<BR>Modeling Bioaccumulation: Alternative Approaches<BR>Intrinsic Factors Affecting Bioaccumulation<BR>Summary<BR>References<BR><BR><STRONG>Lethal and Other Quantal Responses to Stress</STRONG><BR>General<BR>Dose-Response at a Set Endpoint<BR>Time to Death<BR>Quantifying the Effects of Extrinsic Factors<BR>Quantifying Effects of Intrinsic Factors<BR>Toxicant Mixtures<BR>Summary<BR>References<BR><BR><STRONG>Statistical Tests for Detection of Chronic Lethal and Sublethal Stress</STRONG><BR>General<BR>Method Selection<BR>One-Way Analysis of Variance<BR>Test of Normality: Shapiro-Wilk's Test<BR>Test for Homogeneity of Variances: Bartlett's Test<BR>Treatment Means Compared to the Control Mean<BR>Monotonic Trend: Williams's Test<BR>Steel's Multiple Treatment-Control Rank Sum Test<BR>Wilcoxon Rank Sum Test with Bonferroni's Adjustment<BR>A Second Look at Statistical Testing<BR>Inferring Biological Significance from Statistical Significance<BR>Summary<BR>References<BR><BR><STRONG>Population and Metapopulation Effects</STRONG><BR>General<BR>Epidemiology<BR>Population Size<BR>Demography<BR>Spatial Distribution of Individuals<BR>Population Genetics<BR>Summary<BR>References<BR><BR><STRONG>Community Effects<BR></STRONG>General<BR>Simple Species Interactions<BR>Community Structure and Function<BR>Composite Indices<BR>Metacommunities<BR>Trophic Exchange<BR>Summary<BR>References<BR><BR><STRONG>Summary<BR></STRONG>Application<BR>Facilitating Growth of the Science<BR>References<BR></P><STRONG><P>Appendices</P></STRONG><P>Appendix 1: Factors for Estimating Standard Deviation and Control Limits for Range</P><P>Appendix 2: One-Sample Tolerance Probability Comparisons between <EM>n<SUB>m</SUB></EM>* and <EM>n<SUB>m</P></SUB></EM><P>Appendix 3: Critical Values of <I>T </I>Used to Test for Single Outliers (One-Sided Test)</P><P>Appendix 4: Critical Values for λ Used to Test for Multiple Outliers (α = 0.05)</P><P>Appendix 5: Response Metameters for Proportion Affected</P><P>Appendix 6: Maximum Likelihood Values for Dixon's Up-and-Down Method</P><P>Appendix 7: E Values Used to Estimate 95% Confidence Intervals for LT50 with the</P><P>Litchfield Method</P><P>Appendix 8: Coefficients (<EM>a<SUB>n-i+1</SUB></EM>) for Shapiro-Wilk's Test for Normality</P><P>Appendix 9: Percentage Points of Shapiro-Wilk's <EM>W</EM><I> </I>Test for Normality</P><P>Appendix 10: Dunnett's <EM>t</EM><I> </I>for One-Sided Comparisons between <EM>p</EM><I> </I>Treatment Means and a Control for α = 0.05</P><P>Appendix 11: Dunnett's <EM>t</EM><I> </I>for Two-Sided Comparisons between <EM>p</EM><I> </I>Treatment Means and a Control for α = 0.05</P><P>Appendix 12: Bonferroni's Adjusted <EM>t</EM><I> </I>Values for One-Sided Test and α = 0.01</P><P>Appendix 13: Bonferroni's Adjusted <EM>t</EM><I> </I>Values for One-Sided Test and α = 0.05</P><P>Appendix 14: Bonferroni's Adjusted <EM>t</EM><I> </I>Values for Two-Sided Test and α = 0.01</P><P>Appendix 15: Bonferroni's Adjusted <EM>t</EM><I> </I>Values for Two-Sided Test and α = 0.05</P><P>Appendix 16: Dunn-Šidák's <EM>t</EM><I> </I>for Comparisons between <EM>p</EM><I> </I>Treatment Means and a Control for α = 0.01, 0.05, 0.10, and 0.20 (One-Sided Test)</P><P>Appendix 17: Dunn-Šidák's <EM>t</EM><I> </I>for Comparisons between <EM>p</EM><I> </I>Treatment Means and a Control for α = 0.01, 0.05, 0.10, and 0.20 (Two-Sided Test)</P><P>Appendix 18: Williams's <EM>t<SUB>i</EM><I>, </I>α</SUB> for <EM>w</EM><I> </I>= 1 and Extrapolation β<SUB><EM>t</SUB></EM><I> </I>(Superscript) for a One-Sided Test and α = 0.01</P><P>Appendix 19: Williams's <EM>t<SUB>i</EM><I>, </I>α</SUB> for <EM>w</EM><I> </I>= 1 and Extrapolation β<SUB><EM>t</SUB></EM><I> </I>(Superscript) for a One-Sided Test and α = 0.05</P><P>Appendix 20: Williams's <EM>t<SUB>i</EM><I>, </I>α</SUB> for <EM>w</EM><I> </I>= 1 and Extrapolation β<SUB><EM>t</SUB></EM><I> </I>(Superscript) for a Two-Sided Test and α = 0.01</P><P>Appendix 21: Williams's <EM>t<SUB>i</EM><I>, </I>α</SUB> for <EM>w</EM><I> </I>= 1 and Extrapolation β<SUB><EM>t</SUB></EM><I> </I>(Superscript) for a Two-Sided Test and α = 0.05</P><P>Appendix 22: Significant Values of Steel's Rank Sums for a One-Sided Test with α = 0.05 or 0.01</P><P>Appendix 23: Significant Values of Steel's Rank Sums for a Two-Sided Test with α = 0.05 or 0.01</P><P>Appendix 24: Wilcoxon (Mann-Whitney) Rank-Sum Test Critical Values with Bonferroni's Adjustments: One-Sided Test and α = 0.05</P><P>Appendix 25: Wilcoxon Rank-Sum Test Critical Values with Bonferroni's Adjustments: Two-Sided Test and α = 0.05</P><P>Appendix 26: SAS Code for Implementing the Jonckheere-Terpstra Test</P><P>Appendix 27: Balancing α, β, and Effect Size (ES)</P><P>Appendix 28: Basic Matrix Methods</P><P>Appendix 29: Values of θ Used for Maximum Likelihood Estimation of Mean and Standard Deviation of Truncated Data</P><STRONG><P>Index</P></STRONG>
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