Biological diversity :: frontiers in measurement and assessment /
Biological Diversity provides an up to date, authoritative review of the methods of measuring and assessing biological diversity, together with their application. The book's emphasis is on quantifying the variety, abundance, and occurrence of taxa, and on providing objective and clear guidance...
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Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Oxford ; New York :
Oxford University Press,
2011.
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Schriftenreihe: | Oxford biology
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Biological Diversity provides an up to date, authoritative review of the methods of measuring and assessing biological diversity, together with their application. The book's emphasis is on quantifying the variety, abundance, and occurrence of taxa, and on providing objective and clear guidance for both scientists and managers. This is a fast-moving field and one that is the focus of intense research interest. However the rapid development of new methods, the inconsistentand sometimes confusing application of old ones, and the lack of consensus in the literature about the best approach, means that there is a real need for a current synthesis. Biological Diversity covers fundamental measurement issues such as sampling, re-examines familiar diversity metrics (including species richness, diversity statistics, and estimates of spatial and temporal turnover), discusses species abundance distributions and how best to fit them, explores species occurrence and the spatial structure of biodiversity, and investigates alternative approaches used to assess trait, phylogenetic, and genetic diversity. The final section of the book turnsto a selection of contemporary challenges such as measuring microbial diversity, evaluating the impact of disturbance, assessing biodiversity in managed landscapes, measuring diversity in the imperfect fossil record, and using species density estimates in management and conservation. |
Beschreibung: | 1 online resource (xvii, 345 pages :) |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9780191576843 0191576840 1283580160 9781283580168 |
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245 | 0 | 0 | |a Biological diversity : |b frontiers in measurement and assessment / |c edited by Anne E. Magurran and Brian J. McGill. |
260 | |a Oxford ; |a New York : |b Oxford University Press, |c 2011. | ||
300 | |a 1 online resource (xvii, 345 pages :) | ||
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504 | |a Includes bibliographical references and index. | ||
505 | 0 | 0 | |g Machine generated contents note: |g 1. |t Challenges and opportunities in the measurement and assessment of biological diversity / |r Brian J. McGill -- |g 1.1. |t Introduction -- |g 1.2. |t State of the field -- |g 1.3. |t What is in this book -- |t Acknowledgements -- |g pt. I |t Basic Measurement Issues -- |g 2. |t An overview of sampling issues in species diversity and abundance surveys / |r Norman Mercado-Silva -- |g 2.1. |t Introduction -- |g 2.2. |t State of the field -- |g 2.2.1. |t Setting objectives -- |g 2.2.2. |t An important partner: the statistician -- |g 2.2.3. |t What species to sample -- |g 2.2.4. |t Where to sample -- |g 2.2.5. |t Bias, sampling error, and precision -- |g 2.2.6. |t How to sample -- |g 2.2.7. |t Quantifying the sample -- |g 2.2.8. |t When to sample -- |g 2.2.9. |t How many samples to collect -- |g 2.2.10. |t Comparing information from different surveys -- |g 2.2.11. |t Preparing for the field -- |g 2.3. |t Prospectus -- |g 2.4. |t Key points -- |g 3. |t Biodiversity monitoring: the relevance of detectability / |r Stuart E. Newson -- |g 3.1. |t Introduction -- |g 3.2. |t State of the field: which biodiversity measure? |
505 | 0 | 0 | |g 3.3. |t Detectability: are species counts relevant for monitoring biodiversity? -- |g 3.3.1. |t Individual detectability -- |g 3.3.2. |t Estimating individual detectability -- |g 3.3.3. |t Species detectability -- |g 3.4. |t Case study: the UK Breeding Bird Survey -- |g 3.5. |t Discussion -- |g 3.6. |t Prospectus -- |g 3.7. |t Key points -- |t Acknowledgements -- |g pt. II |t Diversity -- |g 4. |t Estimating species richness / |r Robert K. Colwell -- |g 4.1. |t Introduction -- |g 4.2. |t State of the field -- |g 4.2.1. |t Sampling models for biodiversity data -- |g 4.2.2. |t The species accumulation curve -- |g 4.2.3. |t Climbing the species accumulation curve -- |g 4.2.4. |t Species richness versus species density -- |g 4.2.5. |t Individual-based rarefaction -- |g 4.2.6. |t Sample-based rarefaction -- |g 4.2.7. |t Assumptions of rarefaction -- |g 4.2.8. |t Estimating asymptotic species richness -- |g 4.2.9. |t Comparing estimators of asymptotic species richness -- |g 4.2.10. |t Software for estimating species richness from sample data -- |g 4.3. |t Prospectus -- |g 4.4. |t Key points -- |t Acknowledgements -- |g 5. |t Measurement of species diversity / |r Brian J. McGill -- |g 5.1. |t Introduction -- |g 5.2. |t State of the art. |
505 | 0 | 0 | |6 880-01 |g 7.4.3. |t Using species abundance distributions to evaluate change -- |g 7.4.4. |t Assessing change using biodiversity indexes -- |g 7.5. |t Measuring change in the rate of change -- |g 7.6. |t Using temporal change to shed light on community structure -- |g 7.7. |t Partitioning diversity in space and time -- |g 7.8. |t Prospectus -- |g 7.9. |t Key points -- |g pt. III |t Distribution -- |g 8. |t Commonness and rarity / |r Peter A. Henderson -- |g 8.1. |t Introduction -- |g 8.2. |t State of the field -- |g 8.3. |t Commonness and rarity: ecological context -- |g 8.4. |t Assessing commonness and rarity -- |g 8.5. |t Prospectus -- |g 8.6. |t Key points -- |g 9. |t Species abundance distributions / |r Brian J. McGill -- |g 9.1. |t Introduction -- |g 9.2. |t State of the field -- |g 9.2.1. |t Visual approaches to SADs -- |g 9.2.2. |t Parametric approaches to SADs -- |g 9.2.3. |t Non-parametric approaches to SADs -- |g 9.2.4. |t Multivariate approaches to SADs -- |g 9.3. |t Identifying a useful, parsimonious subset of SAD metrics -- |g 9.3.1. |t Efficiency and bias -- |g 9.3.2. |t Independence of measures -- |g 9.3.3. |t Overall assessment of useful, parsimonious metrics of SADs -- |g 9.4. |t Prospectus -- |g 9.5. |t Key points -- |t Acknowledgements. |
505 | 0 | 0 | |g 10. |t Fitting and empirical evaluation of models for species abundance distributions / |r Maria Dornelas -- |g 10.1. |t Introduction -- |g 10.2. |t State of the field -- |g 10.2.1. |t Species abundance models -- |g 10.2.2. |t Obtaining predicted abundances -- |g 10.2.3. |t Choosing parameters -- |g 10.2.4. |t Goodness-of-fit testing -- |g 10.2.5. |t Model selection -- |g 10.3. |t Prospectus -- |g 10.3.1. |t Sampling theory for species abundance models -- |g 10.3.2. |t Parameter estimation -- |g 10.3.3. |t Goodness-of-fit testing -- |g 10.3.4. |t Model selection -- |g 10.3.5. |t Conclusions -- |g 10.4. |t Key points -- |g 11. |t Species occurrence and occupancy / |r Fangliang He -- |g 11.1. |t Introduction -- |g 11.2. |t State of the field -- |g 11.2.1. |t Occupancy-area relationships -- |g 11.2.2. |t Occupancy-abundance relationships -- |g 11.2.3. |t Species occupancy distributions -- |g 11.3. |t Prospectus -- |g 11.4. |t Key points -- |t Acknowledgements -- |g 12. |t Measuring the spatial structure of biodiversity / |r Brian J. McGill -- |g 12.1. |t Introduction -- |g 12.1.1. |t What spatial structure is of interest? -- |g 12.1.2. |t Number of variables recorded -- pattern or association? -- |g 12.1.3. |t Types of data. |
505 | 0 | 0 | |g 12.2. |t State of the art -- |g 12.2.1. |t Estimating intensity (first-order effects) -- |g 12.2.2. |t Studying effects at a distance (second-order effects) -- |g 12.2.3. |t Associations between two variables -- |g 12.2.4. |t Software available -- |g 12.3. |t Prospectus -- |g 12.4. |t Key points -- |t Acknowledgements -- |g pt. IV |t Alternative measures of diversity -- |g 13. |t A primer of trait and functional diversity / |r Evan Weiher -- |g 13.1. |t Introduction -- |g 13.1.1. |t General definitions -- |g 13.1.2. |t General importance -- |g 13.1.3. |t A brief history of trait and functional diversity -- |g 13.2. |t State of the field -- |g 13.2.1. |t Overview -- |g 13.2.2. |t Indices of trait and functional diversity -- |g 13.2.3. |t Partitioning the components of trait diversity -- |g 13.2.4. |t Methodological issues -- |g 13.2.5. |t Conceptual issues -- |g 13.3. |t Prospectus -- |g 13.3.1. |t Recommendations -- |g 13.3.2. |t Future directions -- |g 13.4. |t Key points -- |t Acknowledgements -- |g 14. |t Measuring phylogenetic biodiversity / |r Arne Ø. Mooers -- |g 14.1. |t Introduction -- |g 14.1.1. |t Overview -- |g 14.1.2. |t Approaching the study of phylogenetic diversity. |
505 | 0 | 0 | |g 14.2. |t State of the field -- |g 14.2.1. |t Null models -- |g 14.2.2. |t Simulation analyses -- |g 14.2.3. |t Simulation results -- |g 14.3. |t Prospectus -- |g 14.3.1. |t Phylogenetic diversity in conservation -- |g 14.3.2. |t Phylogenetic diversity in community ecology -- |g 14.3.3. |t Abundance vs presence-absence data -- |g 14.4. |t Key points -- |g 15. |t Genetic methods for biodiversity assessment / |r Hans-Werner Herrmann -- |g 15.1. |t Introduction -- |g 15.2. |t Genetic methods in biodiversity assessment -- |g 15.2.1. |t Mitochondrial, chloroplast, and nuclear DNA -- |g 15.2.2. |t Genome technologies -- |g 15.3. |t Biodiversity assessments -- |g 15.3.1. |t Phylogenies for biodiversity assessment using mtDNA and nuclear DNA -- |g 15.3.2. |t Non-invasively monitoring for biodiversity -- |g 15.3.3. |t DNA barcoding for biodiversity assessment -- |g 15.3.4. |t Genome technologies for biodiversity assessment -- |g 15.4. |t Prospectus -- |g 15.5. |t Key points -- |g pt. V |t Applications -- |g 16. |t Microbial diversity and ecology / |r Thomas P. Curtis -- |g 16.1. |t Introduction -- |g 16.2. |t The diversity concept -- |g 16.3. |t Phylogeny -- |g 16.4. |t rRNA as an evolutionary chronometer. |
505 | 0 | 0 | |g 16.5. |t Methods for assessing diversity -- |g 16.5.1. |t PCR-based methods -- |g 16.5.2. |t Pyrosequencing -- |g 16.5.3. |t Metagenomics -- |g 16.6. |t Sampling, scale, and thresholds -- |g 16.7. |t Mathematical tools for estimating diversity -- |g 16.7.1. |t Collectors curves -- |g 16.7.2. |t Chao's non-parametric estimators -- |g 16.7.3. |t Parametric estimators that assume a distribution -- |g 16.7.4. |t Estimating diversity by inferring a distribution from the data -- |g 16.8. |t Estimation of required sample size -- |g 16.9. |t In-depth metagenome analyses -- |g 16.10. |t Prospectus -- |g 16.11. |t Key points -- |g 17. |t Biodiversity and disturbance / |r Karl Inne Ugland -- |g 17.1. |t Introduction -- |g 17.2. |t What is a disturbance? -- |g 17.2.1. |t Source of the disturbance -- |g 17.2.2. |t Timescale -- |g 17.2.3. |t Spatial scale -- |g 17.2.4. |t Intensity -- |g 17.2.5. |t Specificity -- |g 17.2.6. |t Summary -- |g 17.3. |t State of the field: measuring the effects of disturbance on biodiversity -- |g 17.3.1. |t Univariate metrics -- |g 17.3.2. |t Species abundance distribution based metrics -- |g 17.3.3. |t Multivariate analysis -- |g 17.4. |t Prospectus -- |g 17.5. |t Key points -- |t Acknowledgements. |
505 | 0 | 0 | |g 18. |t Measuring biodiversity in managed landscapes / |r Melodie A. McGeoch -- |g 18.1. |t Introduction -- |g 18.2. |t State of the field -- |g 18.2.1. |t Variation in biodiversity measurement goals -- |g 18.2.2. |t Bioindicators and monitoring -- |g 18.2.3. |t Measuring biodiversity for management -- |g 18.2.4. |t Matrices for measurement -- |g 18.3. |t Prospectus -- |g 18.4. |t Key points -- |t Acknowledgements -- |g 19. |t Estimating extinction with the fossil record / |r S. Kathleen Lyons -- |g 19.1. |t Introduction -- |g 19.2. |t State of the field -- |g 19.2.1. |t Basic metrics -- |g 19.2.2. |t Survivorship curves -- |g 19.2.3. |t The importance of sampling -- |g 19.2.4. |t Relevant studies -- |g 19.2.5. |t Occurrence-based diversity estimates -- |g 19.2.6. |t Gap analyses -- |g 19.3. |t Prospectus -- |g 19.4. |t Key points. |
505 | 0 | 0 | |g 20. |t Estimating species density / |r Chi Yuan -- |g 20.1. |t Introduction -- |g 20.1.1. |t The problem: what is the density of species? -- |g 20.1.2. |t Defining the density of species -- |g 20.1.3. |t Species density takes on new importance in an era of environmental concern -- |g 20.2. |t Data set -- |g 20.2.1. |t Data description -- |g 20.2.2. |t Data manipulation -- |g 20.2.3. |t NP: our surrogate for A -- |g 20.3. |t Density estimates -- |g 20.3.1. |t First density estimate -- |g 20.3.2. |t Density estimates for subsets with a uniform plot size -- |g 20.4. |t Curvature in SPARs -- |g 20.5. |t Reducing the bias -- |g 20.5.1. |t Extrapolation -- |g 20.5.2. |t Estimators based on the frequency of scarce species -- |g 20.6. |t Applying bias reduction -- |g 20.7. |t Checking our results on the scale of all of Virginia -- |g 20.8. |t Why species density? -- |g 20.8.1. |t Species density as an environmental indicator -- |g 20.8.2. |t Species density as a topic of study -- |g 20.9. |t Key points -- |t Acknowledgements -- |g pt. VI |t Conclusions -- |g 21. |t Conclusions / |r Anne E. Magurran. |
588 | 0 | |a Print version record. | |
520 | |a Biological Diversity provides an up to date, authoritative review of the methods of measuring and assessing biological diversity, together with their application. The book's emphasis is on quantifying the variety, abundance, and occurrence of taxa, and on providing objective and clear guidance for both scientists and managers. This is a fast-moving field and one that is the focus of intense research interest. However the rapid development of new methods, the inconsistentand sometimes confusing application of old ones, and the lack of consensus in the literature about the best approach, means that there is a real need for a current synthesis. Biological Diversity covers fundamental measurement issues such as sampling, re-examines familiar diversity metrics (including species richness, diversity statistics, and estimates of spatial and temporal turnover), discusses species abundance distributions and how best to fit them, explores species occurrence and the spatial structure of biodiversity, and investigates alternative approaches used to assess trait, phylogenetic, and genetic diversity. The final section of the book turnsto a selection of contemporary challenges such as measuring microbial diversity, evaluating the impact of disturbance, assessing biodiversity in managed landscapes, measuring diversity in the imperfect fossil record, and using species density estimates in management and conservation. | ||
650 | 0 | |a Biodiversity. |0 http://id.loc.gov/authorities/subjects/sh87005569 | |
650 | 0 | |a Biodiversity |x Monitoring. |0 http://id.loc.gov/authorities/subjects/sh2003009653 | |
650 | 0 | |a Biodiversity conservation. |0 http://id.loc.gov/authorities/subjects/sh87005570 | |
650 | 6 | |a Biodiversité. | |
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650 | 6 | |a Biodiversité |x Conservation. | |
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700 | 1 | |a Magurran, Anne E., |d 1955- |0 http://id.loc.gov/authorities/names/n87887277 | |
700 | 1 | |a McGill, Brian J. | |
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776 | 0 | 8 | |i Print version: |t Biological diversity. |d Oxford ; New York : Oxford University Press, 2011 |z 9780199580675 |w (DLC) 2010029049 |w (OCoLC)642283168 |
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880 | 0 | 0 | |6 505-01/(S |g 5.2.1. |t Species diversity as variance -- |g 5.2.2. |t Species diversity as information -- |g 5.2.3. |t Traditional measures of various types of diversity -- |g 5.2.4. |t Addressing the difference between the empirical and ecological samples: estimating species diversity components using empirical samples -- |g 5.2.5. |t Testing for heterogeneity among ecological samples -- |g 5.3. |t Prospectus -- |g 5.4. |t Key points -- |g 6. |t Compositional similarity and β (beta) diversity / |r Robin L. Chazdon -- |g 6.1. |t Introduction -- |g 6.2. |t State of the field -- |g 6.2.1. |t Measures of relative compositional similarity and differentiation -- |g 6.2.2. |t Diversity and compositional similarity -- |g 6.2.3. |t Statistical estimation of assemblage differentiation and similarity -- |g 6.3. |t Prospectus -- |g 6.4. |t Key points -- |g 7. |t Measuring biological diversity in time (and space) / |r Anne E. Magurran -- |g 7.1. |t Introduction -- |g 7.2. |t State of the field: timescales of change and community boundaries -- |g 7.3. |t What is being measured? -- |g 7.4. |t Assessing change through time -- |g 7.4.1. |t Temporal turnover: species time curves -- |g 7.4.2. |t Temporal turnover: turnover indexes. |
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author_additional | Brian J. McGill -- Norman Mercado-Silva -- Stuart E. Newson -- Robert K. Colwell -- Peter A. Henderson -- Maria Dornelas -- Fangliang He -- Evan Weiher -- Arne Ø. Mooers -- Hans-Werner Herrmann -- Thomas P. Curtis -- Karl Inne Ugland -- Melodie A. McGeoch -- S. Kathleen Lyons -- Chi Yuan -- Anne E. Magurran. |
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contents | Challenges and opportunities in the measurement and assessment of biological diversity / Introduction -- State of the field -- What is in this book -- Acknowledgements -- Basic Measurement Issues -- An overview of sampling issues in species diversity and abundance surveys / Setting objectives -- An important partner: the statistician -- What species to sample -- Where to sample -- Bias, sampling error, and precision -- How to sample -- Quantifying the sample -- When to sample -- How many samples to collect -- Comparing information from different surveys -- Preparing for the field -- Prospectus -- Key points -- Biodiversity monitoring: the relevance of detectability / State of the field: which biodiversity measure? Detectability: are species counts relevant for monitoring biodiversity? -- Individual detectability -- Estimating individual detectability -- Species detectability -- Case study: the UK Breeding Bird Survey -- Discussion -- Diversity -- Estimating species richness / Sampling models for biodiversity data -- The species accumulation curve -- Climbing the species accumulation curve -- Species richness versus species density -- Individual-based rarefaction -- Sample-based rarefaction -- Assumptions of rarefaction -- Estimating asymptotic species richness -- Comparing estimators of asymptotic species richness -- Software for estimating species richness from sample data -- Measurement of species diversity / State of the art. Using species abundance distributions to evaluate change -- Assessing change using biodiversity indexes -- Measuring change in the rate of change -- Using temporal change to shed light on community structure -- Partitioning diversity in space and time -- Distribution -- Commonness and rarity / Commonness and rarity: ecological context -- Assessing commonness and rarity -- Species abundance distributions / Visual approaches to SADs -- Parametric approaches to SADs -- Non-parametric approaches to SADs -- Multivariate approaches to SADs -- Identifying a useful, parsimonious subset of SAD metrics -- Efficiency and bias -- Independence of measures -- Overall assessment of useful, parsimonious metrics of SADs -- Acknowledgements. Fitting and empirical evaluation of models for species abundance distributions / Species abundance models -- Obtaining predicted abundances -- Choosing parameters -- Goodness-of-fit testing -- Model selection -- Sampling theory for species abundance models -- Parameter estimation -- Conclusions -- Species occurrence and occupancy / Occupancy-area relationships -- Occupancy-abundance relationships -- Species occupancy distributions -- Measuring the spatial structure of biodiversity / What spatial structure is of interest? -- Number of variables recorded -- pattern or association? -- Types of data. State of the art -- Estimating intensity (first-order effects) -- Studying effects at a distance (second-order effects) -- Associations between two variables -- Software available -- Alternative measures of diversity -- A primer of trait and functional diversity / General definitions -- General importance -- A brief history of trait and functional diversity -- Overview -- Indices of trait and functional diversity -- Partitioning the components of trait diversity -- Methodological issues -- Conceptual issues -- Recommendations -- Future directions -- Measuring phylogenetic biodiversity / Approaching the study of phylogenetic diversity. Null models -- Simulation analyses -- Simulation results -- Phylogenetic diversity in conservation -- Phylogenetic diversity in community ecology -- Abundance vs presence-absence data -- Genetic methods for biodiversity assessment / Genetic methods in biodiversity assessment -- Mitochondrial, chloroplast, and nuclear DNA -- Genome technologies -- Biodiversity assessments -- Phylogenies for biodiversity assessment using mtDNA and nuclear DNA -- Non-invasively monitoring for biodiversity -- DNA barcoding for biodiversity assessment -- Genome technologies for biodiversity assessment -- Applications -- Microbial diversity and ecology / The diversity concept -- Phylogeny -- rRNA as an evolutionary chronometer. Methods for assessing diversity -- PCR-based methods -- Pyrosequencing -- Metagenomics -- Sampling, scale, and thresholds -- Mathematical tools for estimating diversity -- Collectors curves -- Chao's non-parametric estimators -- Parametric estimators that assume a distribution -- Estimating diversity by inferring a distribution from the data -- Estimation of required sample size -- In-depth metagenome analyses -- Biodiversity and disturbance / What is a disturbance? -- Source of the disturbance -- Timescale -- Spatial scale -- Intensity -- Specificity -- Summary -- State of the field: measuring the effects of disturbance on biodiversity -- Univariate metrics -- Species abundance distribution based metrics -- Multivariate analysis -- Measuring biodiversity in managed landscapes / Variation in biodiversity measurement goals -- Bioindicators and monitoring -- Measuring biodiversity for management -- Matrices for measurement -- Estimating extinction with the fossil record / Basic metrics -- Survivorship curves -- The importance of sampling -- Relevant studies -- Occurrence-based diversity estimates -- Gap analyses -- Key points. Estimating species density / The problem: what is the density of species? -- Defining the density of species -- Species density takes on new importance in an era of environmental concern -- Data set -- Data description -- Data manipulation -- NP: our surrogate for A -- Density estimates -- First density estimate -- Density estimates for subsets with a uniform plot size -- Curvature in SPARs -- Reducing the bias -- Extrapolation -- Estimators based on the frequency of scarce species -- Applying bias reduction -- Checking our results on the scale of all of Virginia -- Why species density? -- Species density as an environmental indicator -- Species density as a topic of study -- Conclusions / |
ctrlnum | (OCoLC)795705236 |
dewey-full | 578.7 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 578 - Natural history of organisms |
dewey-raw | 578.7 |
dewey-search | 578.7 |
dewey-sort | 3578.7 |
dewey-tens | 570 - Biology |
discipline | Biologie |
format | Electronic eBook |
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tag="082" ind1="7" ind2=" "><subfield code="a">578.7</subfield><subfield code="2">22</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Biological diversity :</subfield><subfield code="b">frontiers in measurement and assessment /</subfield><subfield code="c">edited by Anne E. Magurran and Brian J. McGill.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Oxford ;</subfield><subfield code="a">New York :</subfield><subfield code="b">Oxford University Press,</subfield><subfield code="c">2011.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xvii, 345 pages :)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Oxford biology</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">Machine generated contents note:</subfield><subfield code="g">1.</subfield><subfield code="t">Challenges and opportunities in the measurement and assessment of biological diversity /</subfield><subfield code="r">Brian J. McGill --</subfield><subfield code="g">1.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">1.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">1.3.</subfield><subfield code="t">What is in this book --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">pt. I</subfield><subfield code="t">Basic Measurement Issues --</subfield><subfield code="g">2.</subfield><subfield code="t">An overview of sampling issues in species diversity and abundance surveys /</subfield><subfield code="r">Norman Mercado-Silva --</subfield><subfield code="g">2.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">2.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">2.2.1.</subfield><subfield code="t">Setting objectives --</subfield><subfield code="g">2.2.2.</subfield><subfield code="t">An important partner: the statistician --</subfield><subfield code="g">2.2.3.</subfield><subfield code="t">What species to sample --</subfield><subfield code="g">2.2.4.</subfield><subfield code="t">Where to sample --</subfield><subfield code="g">2.2.5.</subfield><subfield code="t">Bias, sampling error, and precision --</subfield><subfield code="g">2.2.6.</subfield><subfield code="t">How to sample --</subfield><subfield code="g">2.2.7.</subfield><subfield code="t">Quantifying the sample --</subfield><subfield code="g">2.2.8.</subfield><subfield code="t">When to sample --</subfield><subfield code="g">2.2.9.</subfield><subfield code="t">How many samples to collect --</subfield><subfield code="g">2.2.10.</subfield><subfield code="t">Comparing information from different surveys --</subfield><subfield code="g">2.2.11.</subfield><subfield code="t">Preparing for the field --</subfield><subfield code="g">2.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">2.4.</subfield><subfield code="t">Key points --</subfield><subfield code="g">3.</subfield><subfield code="t">Biodiversity monitoring: the relevance of detectability /</subfield><subfield code="r">Stuart E. Newson --</subfield><subfield code="g">3.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">3.2.</subfield><subfield code="t">State of the field: which biodiversity measure?</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">3.3.</subfield><subfield code="t">Detectability: are species counts relevant for monitoring biodiversity? --</subfield><subfield code="g">3.3.1.</subfield><subfield code="t">Individual detectability --</subfield><subfield code="g">3.3.2.</subfield><subfield code="t">Estimating individual detectability --</subfield><subfield code="g">3.3.3.</subfield><subfield code="t">Species detectability --</subfield><subfield code="g">3.4.</subfield><subfield code="t">Case study: the UK Breeding Bird Survey --</subfield><subfield code="g">3.5.</subfield><subfield code="t">Discussion --</subfield><subfield code="g">3.6.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">3.7.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">pt. II</subfield><subfield code="t">Diversity --</subfield><subfield code="g">4.</subfield><subfield code="t">Estimating species richness /</subfield><subfield code="r">Robert K. Colwell --</subfield><subfield code="g">4.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">4.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">4.2.1.</subfield><subfield code="t">Sampling models for biodiversity data --</subfield><subfield code="g">4.2.2.</subfield><subfield code="t">The species accumulation curve --</subfield><subfield code="g">4.2.3.</subfield><subfield code="t">Climbing the species accumulation curve --</subfield><subfield code="g">4.2.4.</subfield><subfield code="t">Species richness versus species density --</subfield><subfield code="g">4.2.5.</subfield><subfield code="t">Individual-based rarefaction --</subfield><subfield code="g">4.2.6.</subfield><subfield code="t">Sample-based rarefaction --</subfield><subfield code="g">4.2.7.</subfield><subfield code="t">Assumptions of rarefaction --</subfield><subfield code="g">4.2.8.</subfield><subfield code="t">Estimating asymptotic species richness --</subfield><subfield code="g">4.2.9.</subfield><subfield code="t">Comparing estimators of asymptotic species richness --</subfield><subfield code="g">4.2.10.</subfield><subfield code="t">Software for estimating species richness from sample data --</subfield><subfield code="g">4.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">4.4.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">5.</subfield><subfield code="t">Measurement of species diversity /</subfield><subfield code="r">Brian J. McGill --</subfield><subfield code="g">5.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">5.2.</subfield><subfield code="t">State of the art.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="6">880-01</subfield><subfield code="g">7.4.3.</subfield><subfield code="t">Using species abundance distributions to evaluate change --</subfield><subfield code="g">7.4.4.</subfield><subfield code="t">Assessing change using biodiversity indexes --</subfield><subfield code="g">7.5.</subfield><subfield code="t">Measuring change in the rate of change --</subfield><subfield code="g">7.6.</subfield><subfield code="t">Using temporal change to shed light on community structure --</subfield><subfield code="g">7.7.</subfield><subfield code="t">Partitioning diversity in space and time --</subfield><subfield code="g">7.8.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">7.9.</subfield><subfield code="t">Key points --</subfield><subfield code="g">pt. III</subfield><subfield code="t">Distribution --</subfield><subfield code="g">8.</subfield><subfield code="t">Commonness and rarity /</subfield><subfield code="r">Peter A. Henderson --</subfield><subfield code="g">8.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">8.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">8.3.</subfield><subfield code="t">Commonness and rarity: ecological context --</subfield><subfield code="g">8.4.</subfield><subfield code="t">Assessing commonness and rarity --</subfield><subfield code="g">8.5.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">8.6.</subfield><subfield code="t">Key points --</subfield><subfield code="g">9.</subfield><subfield code="t">Species abundance distributions /</subfield><subfield code="r">Brian J. McGill --</subfield><subfield code="g">9.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">9.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">9.2.1.</subfield><subfield code="t">Visual approaches to SADs --</subfield><subfield code="g">9.2.2.</subfield><subfield code="t">Parametric approaches to SADs --</subfield><subfield code="g">9.2.3.</subfield><subfield code="t">Non-parametric approaches to SADs --</subfield><subfield code="g">9.2.4.</subfield><subfield code="t">Multivariate approaches to SADs --</subfield><subfield code="g">9.3.</subfield><subfield code="t">Identifying a useful, parsimonious subset of SAD metrics --</subfield><subfield code="g">9.3.1.</subfield><subfield code="t">Efficiency and bias --</subfield><subfield code="g">9.3.2.</subfield><subfield code="t">Independence of measures --</subfield><subfield code="g">9.3.3.</subfield><subfield code="t">Overall assessment of useful, parsimonious metrics of SADs --</subfield><subfield code="g">9.4.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">9.5.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">10.</subfield><subfield code="t">Fitting and empirical evaluation of models for species abundance distributions /</subfield><subfield code="r">Maria Dornelas --</subfield><subfield code="g">10.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">10.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">10.2.1.</subfield><subfield code="t">Species abundance models --</subfield><subfield code="g">10.2.2.</subfield><subfield code="t">Obtaining predicted abundances --</subfield><subfield code="g">10.2.3.</subfield><subfield code="t">Choosing parameters --</subfield><subfield code="g">10.2.4.</subfield><subfield code="t">Goodness-of-fit testing --</subfield><subfield code="g">10.2.5.</subfield><subfield code="t">Model selection --</subfield><subfield code="g">10.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">10.3.1.</subfield><subfield code="t">Sampling theory for species abundance models --</subfield><subfield code="g">10.3.2.</subfield><subfield code="t">Parameter estimation --</subfield><subfield code="g">10.3.3.</subfield><subfield code="t">Goodness-of-fit testing --</subfield><subfield code="g">10.3.4.</subfield><subfield code="t">Model selection --</subfield><subfield code="g">10.3.5.</subfield><subfield code="t">Conclusions --</subfield><subfield code="g">10.4.</subfield><subfield code="t">Key points --</subfield><subfield code="g">11.</subfield><subfield code="t">Species occurrence and occupancy /</subfield><subfield code="r">Fangliang He --</subfield><subfield code="g">11.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">11.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">11.2.1.</subfield><subfield code="t">Occupancy-area relationships --</subfield><subfield code="g">11.2.2.</subfield><subfield code="t">Occupancy-abundance relationships --</subfield><subfield code="g">11.2.3.</subfield><subfield code="t">Species occupancy distributions --</subfield><subfield code="g">11.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">11.4.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">12.</subfield><subfield code="t">Measuring the spatial structure of biodiversity /</subfield><subfield code="r">Brian J. McGill --</subfield><subfield code="g">12.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">12.1.1.</subfield><subfield code="t">What spatial structure is of interest? --</subfield><subfield code="g">12.1.2.</subfield><subfield code="t">Number of variables recorded -- pattern or association? --</subfield><subfield code="g">12.1.3.</subfield><subfield code="t">Types of data.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">12.2.</subfield><subfield code="t">State of the art --</subfield><subfield code="g">12.2.1.</subfield><subfield code="t">Estimating intensity (first-order effects) --</subfield><subfield code="g">12.2.2.</subfield><subfield code="t">Studying effects at a distance (second-order effects) --</subfield><subfield code="g">12.2.3.</subfield><subfield code="t">Associations between two variables --</subfield><subfield code="g">12.2.4.</subfield><subfield code="t">Software available --</subfield><subfield code="g">12.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">12.4.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">pt. IV</subfield><subfield code="t">Alternative measures of diversity --</subfield><subfield code="g">13.</subfield><subfield code="t">A primer of trait and functional diversity /</subfield><subfield code="r">Evan Weiher --</subfield><subfield code="g">13.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">13.1.1.</subfield><subfield code="t">General definitions --</subfield><subfield code="g">13.1.2.</subfield><subfield code="t">General importance --</subfield><subfield code="g">13.1.3.</subfield><subfield code="t">A brief history of trait and functional diversity --</subfield><subfield code="g">13.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">13.2.1.</subfield><subfield code="t">Overview --</subfield><subfield code="g">13.2.2.</subfield><subfield code="t">Indices of trait and functional diversity --</subfield><subfield code="g">13.2.3.</subfield><subfield code="t">Partitioning the components of trait diversity --</subfield><subfield code="g">13.2.4.</subfield><subfield code="t">Methodological issues --</subfield><subfield code="g">13.2.5.</subfield><subfield code="t">Conceptual issues --</subfield><subfield code="g">13.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">13.3.1.</subfield><subfield code="t">Recommendations --</subfield><subfield code="g">13.3.2.</subfield><subfield code="t">Future directions --</subfield><subfield code="g">13.4.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">14.</subfield><subfield code="t">Measuring phylogenetic biodiversity /</subfield><subfield code="r">Arne Ø. Mooers --</subfield><subfield code="g">14.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">14.1.1.</subfield><subfield code="t">Overview --</subfield><subfield code="g">14.1.2.</subfield><subfield code="t">Approaching the study of phylogenetic diversity.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">14.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">14.2.1.</subfield><subfield code="t">Null models --</subfield><subfield code="g">14.2.2.</subfield><subfield code="t">Simulation analyses --</subfield><subfield code="g">14.2.3.</subfield><subfield code="t">Simulation results --</subfield><subfield code="g">14.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">14.3.1.</subfield><subfield code="t">Phylogenetic diversity in conservation --</subfield><subfield code="g">14.3.2.</subfield><subfield code="t">Phylogenetic diversity in community ecology --</subfield><subfield code="g">14.3.3.</subfield><subfield code="t">Abundance vs presence-absence data --</subfield><subfield code="g">14.4.</subfield><subfield code="t">Key points --</subfield><subfield code="g">15.</subfield><subfield code="t">Genetic methods for biodiversity assessment /</subfield><subfield code="r">Hans-Werner Herrmann --</subfield><subfield code="g">15.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">15.2.</subfield><subfield code="t">Genetic methods in biodiversity assessment --</subfield><subfield code="g">15.2.1.</subfield><subfield code="t">Mitochondrial, chloroplast, and nuclear DNA --</subfield><subfield code="g">15.2.2.</subfield><subfield code="t">Genome technologies --</subfield><subfield code="g">15.3.</subfield><subfield code="t">Biodiversity assessments --</subfield><subfield code="g">15.3.1.</subfield><subfield code="t">Phylogenies for biodiversity assessment using mtDNA and nuclear DNA --</subfield><subfield code="g">15.3.2.</subfield><subfield code="t">Non-invasively monitoring for biodiversity --</subfield><subfield code="g">15.3.3.</subfield><subfield code="t">DNA barcoding for biodiversity assessment --</subfield><subfield code="g">15.3.4.</subfield><subfield code="t">Genome technologies for biodiversity assessment --</subfield><subfield code="g">15.4.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">15.5.</subfield><subfield code="t">Key points --</subfield><subfield code="g">pt. V</subfield><subfield code="t">Applications --</subfield><subfield code="g">16.</subfield><subfield code="t">Microbial diversity and ecology /</subfield><subfield code="r">Thomas P. Curtis --</subfield><subfield code="g">16.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">16.2.</subfield><subfield code="t">The diversity concept --</subfield><subfield code="g">16.3.</subfield><subfield code="t">Phylogeny --</subfield><subfield code="g">16.4.</subfield><subfield code="t">rRNA as an evolutionary chronometer.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">16.5.</subfield><subfield code="t">Methods for assessing diversity --</subfield><subfield code="g">16.5.1.</subfield><subfield code="t">PCR-based methods --</subfield><subfield code="g">16.5.2.</subfield><subfield code="t">Pyrosequencing --</subfield><subfield code="g">16.5.3.</subfield><subfield code="t">Metagenomics --</subfield><subfield code="g">16.6.</subfield><subfield code="t">Sampling, scale, and thresholds --</subfield><subfield code="g">16.7.</subfield><subfield code="t">Mathematical tools for estimating diversity --</subfield><subfield code="g">16.7.1.</subfield><subfield code="t">Collectors curves --</subfield><subfield code="g">16.7.2.</subfield><subfield code="t">Chao's non-parametric estimators --</subfield><subfield code="g">16.7.3.</subfield><subfield code="t">Parametric estimators that assume a distribution --</subfield><subfield code="g">16.7.4.</subfield><subfield code="t">Estimating diversity by inferring a distribution from the data --</subfield><subfield code="g">16.8.</subfield><subfield code="t">Estimation of required sample size --</subfield><subfield code="g">16.9.</subfield><subfield code="t">In-depth metagenome analyses --</subfield><subfield code="g">16.10.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">16.11.</subfield><subfield code="t">Key points --</subfield><subfield code="g">17.</subfield><subfield code="t">Biodiversity and disturbance /</subfield><subfield code="r">Karl Inne Ugland --</subfield><subfield code="g">17.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">17.2.</subfield><subfield code="t">What is a disturbance? --</subfield><subfield code="g">17.2.1.</subfield><subfield code="t">Source of the disturbance --</subfield><subfield code="g">17.2.2.</subfield><subfield code="t">Timescale --</subfield><subfield code="g">17.2.3.</subfield><subfield code="t">Spatial scale --</subfield><subfield code="g">17.2.4.</subfield><subfield code="t">Intensity --</subfield><subfield code="g">17.2.5.</subfield><subfield code="t">Specificity --</subfield><subfield code="g">17.2.6.</subfield><subfield code="t">Summary --</subfield><subfield code="g">17.3.</subfield><subfield code="t">State of the field: measuring the effects of disturbance on biodiversity --</subfield><subfield code="g">17.3.1.</subfield><subfield code="t">Univariate metrics --</subfield><subfield code="g">17.3.2.</subfield><subfield code="t">Species abundance distribution based metrics --</subfield><subfield code="g">17.3.3.</subfield><subfield code="t">Multivariate analysis --</subfield><subfield code="g">17.4.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">17.5.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">18.</subfield><subfield code="t">Measuring biodiversity in managed landscapes /</subfield><subfield code="r">Melodie A. McGeoch --</subfield><subfield code="g">18.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">18.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">18.2.1.</subfield><subfield code="t">Variation in biodiversity measurement goals --</subfield><subfield code="g">18.2.2.</subfield><subfield code="t">Bioindicators and monitoring --</subfield><subfield code="g">18.2.3.</subfield><subfield code="t">Measuring biodiversity for management --</subfield><subfield code="g">18.2.4.</subfield><subfield code="t">Matrices for measurement --</subfield><subfield code="g">18.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">18.4.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">19.</subfield><subfield code="t">Estimating extinction with the fossil record /</subfield><subfield code="r">S. Kathleen Lyons --</subfield><subfield code="g">19.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">19.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">19.2.1.</subfield><subfield code="t">Basic metrics --</subfield><subfield code="g">19.2.2.</subfield><subfield code="t">Survivorship curves --</subfield><subfield code="g">19.2.3.</subfield><subfield code="t">The importance of sampling --</subfield><subfield code="g">19.2.4.</subfield><subfield code="t">Relevant studies --</subfield><subfield code="g">19.2.5.</subfield><subfield code="t">Occurrence-based diversity estimates --</subfield><subfield code="g">19.2.6.</subfield><subfield code="t">Gap analyses --</subfield><subfield code="g">19.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">19.4.</subfield><subfield code="t">Key points.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">20.</subfield><subfield code="t">Estimating species density /</subfield><subfield code="r">Chi Yuan --</subfield><subfield code="g">20.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">20.1.1.</subfield><subfield code="t">The problem: what is the density of species? --</subfield><subfield code="g">20.1.2.</subfield><subfield code="t">Defining the density of species --</subfield><subfield code="g">20.1.3.</subfield><subfield code="t">Species density takes on new importance in an era of environmental concern --</subfield><subfield code="g">20.2.</subfield><subfield code="t">Data set --</subfield><subfield code="g">20.2.1.</subfield><subfield code="t">Data description --</subfield><subfield code="g">20.2.2.</subfield><subfield code="t">Data manipulation --</subfield><subfield code="g">20.2.3.</subfield><subfield code="t">NP: our surrogate for A --</subfield><subfield code="g">20.3.</subfield><subfield code="t">Density estimates --</subfield><subfield code="g">20.3.1.</subfield><subfield code="t">First density estimate --</subfield><subfield code="g">20.3.2.</subfield><subfield code="t">Density estimates for subsets with a uniform plot size --</subfield><subfield code="g">20.4.</subfield><subfield code="t">Curvature in SPARs --</subfield><subfield code="g">20.5.</subfield><subfield code="t">Reducing the bias --</subfield><subfield code="g">20.5.1.</subfield><subfield code="t">Extrapolation --</subfield><subfield code="g">20.5.2.</subfield><subfield code="t">Estimators based on the frequency of scarce species --</subfield><subfield code="g">20.6.</subfield><subfield code="t">Applying bias reduction --</subfield><subfield code="g">20.7.</subfield><subfield code="t">Checking our results on the scale of all of Virginia --</subfield><subfield code="g">20.8.</subfield><subfield code="t">Why species density? --</subfield><subfield code="g">20.8.1.</subfield><subfield code="t">Species density as an environmental indicator --</subfield><subfield code="g">20.8.2.</subfield><subfield code="t">Species density as a topic of study --</subfield><subfield code="g">20.9.</subfield><subfield code="t">Key points --</subfield><subfield code="t">Acknowledgements --</subfield><subfield code="g">pt. VI</subfield><subfield code="t">Conclusions --</subfield><subfield code="g">21.</subfield><subfield code="t">Conclusions /</subfield><subfield code="r">Anne E. Magurran.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Biological Diversity provides an up to date, authoritative review of the methods of measuring and assessing biological diversity, together with their application. The book's emphasis is on quantifying the variety, abundance, and occurrence of taxa, and on providing objective and clear guidance for both scientists and managers. This is a fast-moving field and one that is the focus of intense research interest. However the rapid development of new methods, the inconsistentand sometimes confusing application of old ones, and the lack of consensus in the literature about the best approach, means that there is a real need for a current synthesis. Biological Diversity covers fundamental measurement issues such as sampling, re-examines familiar diversity metrics (including species richness, diversity statistics, and estimates of spatial and temporal turnover), discusses species abundance distributions and how best to fit them, explores species occurrence and the spatial structure of biodiversity, and investigates alternative approaches used to assess trait, phylogenetic, and genetic diversity. The final section of the book turnsto a selection of contemporary challenges such as measuring microbial diversity, evaluating the impact of disturbance, assessing biodiversity in managed landscapes, measuring diversity in the imperfect fossil record, and using species density estimates in management and conservation.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Biodiversity.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh87005569</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Biodiversity</subfield><subfield code="x">Monitoring.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh2003009653</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Biodiversity conservation.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh87005570</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Biodiversité.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Biodiversité</subfield><subfield code="x">Surveillance.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Biodiversité</subfield><subfield code="x">Conservation.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SCIENCE</subfield><subfield code="x">Life Sciences</subfield><subfield code="x">Biological Diversity.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Biodiversity</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Biodiversity conservation</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Biodiversity</subfield><subfield code="x">Monitoring</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Magurran, Anne E.,</subfield><subfield code="d">1955-</subfield><subfield code="0">http://id.loc.gov/authorities/names/n87887277</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">McGill, Brian J.</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Biological diversity (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCFybrmFvBhmDGdWkRk4J8P</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="t">Biological diversity.</subfield><subfield code="d">Oxford ; New York : Oxford University Press, 2011</subfield><subfield code="z">9780199580675</subfield><subfield code="w">(DLC) 2010029049</subfield><subfield code="w">(OCoLC)642283168</subfield></datafield><datafield tag="856" ind1="1" ind2=" "><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=462693</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="1" ind2=" "><subfield code="l">CBO01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=462693</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="880" ind1="0" ind2="0"><subfield code="6">505-01/(S</subfield><subfield code="g">5.2.1.</subfield><subfield code="t">Species diversity as variance --</subfield><subfield code="g">5.2.2.</subfield><subfield code="t">Species diversity as information --</subfield><subfield code="g">5.2.3.</subfield><subfield code="t">Traditional measures of various types of diversity --</subfield><subfield code="g">5.2.4.</subfield><subfield code="t">Addressing the difference between the empirical and ecological samples: estimating species diversity components using empirical samples --</subfield><subfield code="g">5.2.5.</subfield><subfield code="t">Testing for heterogeneity among ecological samples --</subfield><subfield code="g">5.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">5.4.</subfield><subfield code="t">Key points --</subfield><subfield code="g">6.</subfield><subfield code="t">Compositional similarity and β (beta) diversity /</subfield><subfield code="r">Robin L. Chazdon --</subfield><subfield code="g">6.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">6.2.</subfield><subfield code="t">State of the field --</subfield><subfield code="g">6.2.1.</subfield><subfield code="t">Measures of relative compositional similarity and differentiation --</subfield><subfield code="g">6.2.2.</subfield><subfield code="t">Diversity and compositional similarity --</subfield><subfield code="g">6.2.3.</subfield><subfield code="t">Statistical estimation of assemblage differentiation and similarity --</subfield><subfield code="g">6.3.</subfield><subfield code="t">Prospectus --</subfield><subfield code="g">6.4.</subfield><subfield code="t">Key points --</subfield><subfield code="g">7.</subfield><subfield code="t">Measuring biological diversity in time (and space) /</subfield><subfield code="r">Anne E. 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id | ZDB-4-EBA-ocn795705236 |
illustrated | Illustrated |
indexdate | 2024-10-25T16:18:42Z |
institution | BVB |
isbn | 9780191576843 0191576840 1283580160 9781283580168 |
language | English |
oclc_num | 795705236 |
open_access_boolean | |
owner | MAIN |
owner_facet | MAIN |
physical | 1 online resource (xvii, 345 pages :) |
psigel | ZDB-4-EBA |
publishDate | 2011 |
publishDateSearch | 2011 |
publishDateSort | 2011 |
publisher | Oxford University Press, |
record_format | marc |
series2 | Oxford biology |
spelling | Biological diversity : frontiers in measurement and assessment / edited by Anne E. Magurran and Brian J. McGill. Oxford ; New York : Oxford University Press, 2011. 1 online resource (xvii, 345 pages :) text txt rdacontent computer c rdamedia online resource cr rdacarrier Oxford biology Includes bibliographical references and index. Machine generated contents note: 1. Challenges and opportunities in the measurement and assessment of biological diversity / Brian J. McGill -- 1.1. Introduction -- 1.2. State of the field -- 1.3. What is in this book -- Acknowledgements -- pt. I Basic Measurement Issues -- 2. An overview of sampling issues in species diversity and abundance surveys / Norman Mercado-Silva -- 2.1. Introduction -- 2.2. State of the field -- 2.2.1. Setting objectives -- 2.2.2. An important partner: the statistician -- 2.2.3. What species to sample -- 2.2.4. Where to sample -- 2.2.5. Bias, sampling error, and precision -- 2.2.6. How to sample -- 2.2.7. Quantifying the sample -- 2.2.8. When to sample -- 2.2.9. How many samples to collect -- 2.2.10. Comparing information from different surveys -- 2.2.11. Preparing for the field -- 2.3. Prospectus -- 2.4. Key points -- 3. Biodiversity monitoring: the relevance of detectability / Stuart E. Newson -- 3.1. Introduction -- 3.2. State of the field: which biodiversity measure? 3.3. Detectability: are species counts relevant for monitoring biodiversity? -- 3.3.1. Individual detectability -- 3.3.2. Estimating individual detectability -- 3.3.3. Species detectability -- 3.4. Case study: the UK Breeding Bird Survey -- 3.5. Discussion -- 3.6. Prospectus -- 3.7. Key points -- Acknowledgements -- pt. II Diversity -- 4. Estimating species richness / Robert K. Colwell -- 4.1. Introduction -- 4.2. State of the field -- 4.2.1. Sampling models for biodiversity data -- 4.2.2. The species accumulation curve -- 4.2.3. Climbing the species accumulation curve -- 4.2.4. Species richness versus species density -- 4.2.5. Individual-based rarefaction -- 4.2.6. Sample-based rarefaction -- 4.2.7. Assumptions of rarefaction -- 4.2.8. Estimating asymptotic species richness -- 4.2.9. Comparing estimators of asymptotic species richness -- 4.2.10. Software for estimating species richness from sample data -- 4.3. Prospectus -- 4.4. Key points -- Acknowledgements -- 5. Measurement of species diversity / Brian J. McGill -- 5.1. Introduction -- 5.2. State of the art. 880-01 7.4.3. Using species abundance distributions to evaluate change -- 7.4.4. Assessing change using biodiversity indexes -- 7.5. Measuring change in the rate of change -- 7.6. Using temporal change to shed light on community structure -- 7.7. Partitioning diversity in space and time -- 7.8. Prospectus -- 7.9. Key points -- pt. III Distribution -- 8. Commonness and rarity / Peter A. Henderson -- 8.1. Introduction -- 8.2. State of the field -- 8.3. Commonness and rarity: ecological context -- 8.4. Assessing commonness and rarity -- 8.5. Prospectus -- 8.6. Key points -- 9. Species abundance distributions / Brian J. McGill -- 9.1. Introduction -- 9.2. State of the field -- 9.2.1. Visual approaches to SADs -- 9.2.2. Parametric approaches to SADs -- 9.2.3. Non-parametric approaches to SADs -- 9.2.4. Multivariate approaches to SADs -- 9.3. Identifying a useful, parsimonious subset of SAD metrics -- 9.3.1. Efficiency and bias -- 9.3.2. Independence of measures -- 9.3.3. Overall assessment of useful, parsimonious metrics of SADs -- 9.4. Prospectus -- 9.5. Key points -- Acknowledgements. 10. Fitting and empirical evaluation of models for species abundance distributions / Maria Dornelas -- 10.1. Introduction -- 10.2. State of the field -- 10.2.1. Species abundance models -- 10.2.2. Obtaining predicted abundances -- 10.2.3. Choosing parameters -- 10.2.4. Goodness-of-fit testing -- 10.2.5. Model selection -- 10.3. Prospectus -- 10.3.1. Sampling theory for species abundance models -- 10.3.2. Parameter estimation -- 10.3.3. Goodness-of-fit testing -- 10.3.4. Model selection -- 10.3.5. Conclusions -- 10.4. Key points -- 11. Species occurrence and occupancy / Fangliang He -- 11.1. Introduction -- 11.2. State of the field -- 11.2.1. Occupancy-area relationships -- 11.2.2. Occupancy-abundance relationships -- 11.2.3. Species occupancy distributions -- 11.3. Prospectus -- 11.4. Key points -- Acknowledgements -- 12. Measuring the spatial structure of biodiversity / Brian J. McGill -- 12.1. Introduction -- 12.1.1. What spatial structure is of interest? -- 12.1.2. Number of variables recorded -- pattern or association? -- 12.1.3. Types of data. 12.2. State of the art -- 12.2.1. Estimating intensity (first-order effects) -- 12.2.2. Studying effects at a distance (second-order effects) -- 12.2.3. Associations between two variables -- 12.2.4. Software available -- 12.3. Prospectus -- 12.4. Key points -- Acknowledgements -- pt. IV Alternative measures of diversity -- 13. A primer of trait and functional diversity / Evan Weiher -- 13.1. Introduction -- 13.1.1. General definitions -- 13.1.2. General importance -- 13.1.3. A brief history of trait and functional diversity -- 13.2. State of the field -- 13.2.1. Overview -- 13.2.2. Indices of trait and functional diversity -- 13.2.3. Partitioning the components of trait diversity -- 13.2.4. Methodological issues -- 13.2.5. Conceptual issues -- 13.3. Prospectus -- 13.3.1. Recommendations -- 13.3.2. Future directions -- 13.4. Key points -- Acknowledgements -- 14. Measuring phylogenetic biodiversity / Arne Ø. Mooers -- 14.1. Introduction -- 14.1.1. Overview -- 14.1.2. Approaching the study of phylogenetic diversity. 14.2. State of the field -- 14.2.1. Null models -- 14.2.2. Simulation analyses -- 14.2.3. Simulation results -- 14.3. Prospectus -- 14.3.1. Phylogenetic diversity in conservation -- 14.3.2. Phylogenetic diversity in community ecology -- 14.3.3. Abundance vs presence-absence data -- 14.4. Key points -- 15. Genetic methods for biodiversity assessment / Hans-Werner Herrmann -- 15.1. Introduction -- 15.2. Genetic methods in biodiversity assessment -- 15.2.1. Mitochondrial, chloroplast, and nuclear DNA -- 15.2.2. Genome technologies -- 15.3. Biodiversity assessments -- 15.3.1. Phylogenies for biodiversity assessment using mtDNA and nuclear DNA -- 15.3.2. Non-invasively monitoring for biodiversity -- 15.3.3. DNA barcoding for biodiversity assessment -- 15.3.4. Genome technologies for biodiversity assessment -- 15.4. Prospectus -- 15.5. Key points -- pt. V Applications -- 16. Microbial diversity and ecology / Thomas P. Curtis -- 16.1. Introduction -- 16.2. The diversity concept -- 16.3. Phylogeny -- 16.4. rRNA as an evolutionary chronometer. 16.5. Methods for assessing diversity -- 16.5.1. PCR-based methods -- 16.5.2. Pyrosequencing -- 16.5.3. Metagenomics -- 16.6. Sampling, scale, and thresholds -- 16.7. Mathematical tools for estimating diversity -- 16.7.1. Collectors curves -- 16.7.2. Chao's non-parametric estimators -- 16.7.3. Parametric estimators that assume a distribution -- 16.7.4. Estimating diversity by inferring a distribution from the data -- 16.8. Estimation of required sample size -- 16.9. In-depth metagenome analyses -- 16.10. Prospectus -- 16.11. Key points -- 17. Biodiversity and disturbance / Karl Inne Ugland -- 17.1. Introduction -- 17.2. What is a disturbance? -- 17.2.1. Source of the disturbance -- 17.2.2. Timescale -- 17.2.3. Spatial scale -- 17.2.4. Intensity -- 17.2.5. Specificity -- 17.2.6. Summary -- 17.3. State of the field: measuring the effects of disturbance on biodiversity -- 17.3.1. Univariate metrics -- 17.3.2. Species abundance distribution based metrics -- 17.3.3. Multivariate analysis -- 17.4. Prospectus -- 17.5. Key points -- Acknowledgements. 18. Measuring biodiversity in managed landscapes / Melodie A. McGeoch -- 18.1. Introduction -- 18.2. State of the field -- 18.2.1. Variation in biodiversity measurement goals -- 18.2.2. Bioindicators and monitoring -- 18.2.3. Measuring biodiversity for management -- 18.2.4. Matrices for measurement -- 18.3. Prospectus -- 18.4. Key points -- Acknowledgements -- 19. Estimating extinction with the fossil record / S. Kathleen Lyons -- 19.1. Introduction -- 19.2. State of the field -- 19.2.1. Basic metrics -- 19.2.2. Survivorship curves -- 19.2.3. The importance of sampling -- 19.2.4. Relevant studies -- 19.2.5. Occurrence-based diversity estimates -- 19.2.6. Gap analyses -- 19.3. Prospectus -- 19.4. Key points. 20. Estimating species density / Chi Yuan -- 20.1. Introduction -- 20.1.1. The problem: what is the density of species? -- 20.1.2. Defining the density of species -- 20.1.3. Species density takes on new importance in an era of environmental concern -- 20.2. Data set -- 20.2.1. Data description -- 20.2.2. Data manipulation -- 20.2.3. NP: our surrogate for A -- 20.3. Density estimates -- 20.3.1. First density estimate -- 20.3.2. Density estimates for subsets with a uniform plot size -- 20.4. Curvature in SPARs -- 20.5. Reducing the bias -- 20.5.1. Extrapolation -- 20.5.2. Estimators based on the frequency of scarce species -- 20.6. Applying bias reduction -- 20.7. Checking our results on the scale of all of Virginia -- 20.8. Why species density? -- 20.8.1. Species density as an environmental indicator -- 20.8.2. Species density as a topic of study -- 20.9. Key points -- Acknowledgements -- pt. VI Conclusions -- 21. Conclusions / Anne E. Magurran. Print version record. Biological Diversity provides an up to date, authoritative review of the methods of measuring and assessing biological diversity, together with their application. The book's emphasis is on quantifying the variety, abundance, and occurrence of taxa, and on providing objective and clear guidance for both scientists and managers. This is a fast-moving field and one that is the focus of intense research interest. However the rapid development of new methods, the inconsistentand sometimes confusing application of old ones, and the lack of consensus in the literature about the best approach, means that there is a real need for a current synthesis. Biological Diversity covers fundamental measurement issues such as sampling, re-examines familiar diversity metrics (including species richness, diversity statistics, and estimates of spatial and temporal turnover), discusses species abundance distributions and how best to fit them, explores species occurrence and the spatial structure of biodiversity, and investigates alternative approaches used to assess trait, phylogenetic, and genetic diversity. The final section of the book turnsto a selection of contemporary challenges such as measuring microbial diversity, evaluating the impact of disturbance, assessing biodiversity in managed landscapes, measuring diversity in the imperfect fossil record, and using species density estimates in management and conservation. Biodiversity. http://id.loc.gov/authorities/subjects/sh87005569 Biodiversity Monitoring. http://id.loc.gov/authorities/subjects/sh2003009653 Biodiversity conservation. http://id.loc.gov/authorities/subjects/sh87005570 Biodiversité. Biodiversité Surveillance. Biodiversité Conservation. SCIENCE Life Sciences Biological Diversity. bisacsh Biodiversity fast Biodiversity conservation fast Biodiversity Monitoring fast Magurran, Anne E., 1955- http://id.loc.gov/authorities/names/n87887277 McGill, Brian J. has work: Biological diversity (Text) https://id.oclc.org/worldcat/entity/E39PCFybrmFvBhmDGdWkRk4J8P https://id.oclc.org/worldcat/ontology/hasWork Print version: Biological diversity. Oxford ; New York : Oxford University Press, 2011 9780199580675 (DLC) 2010029049 (OCoLC)642283168 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=462693 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=462693 Volltext 505-01/(S 5.2.1. Species diversity as variance -- 5.2.2. Species diversity as information -- 5.2.3. Traditional measures of various types of diversity -- 5.2.4. Addressing the difference between the empirical and ecological samples: estimating species diversity components using empirical samples -- 5.2.5. Testing for heterogeneity among ecological samples -- 5.3. Prospectus -- 5.4. Key points -- 6. Compositional similarity and β (beta) diversity / Robin L. Chazdon -- 6.1. Introduction -- 6.2. State of the field -- 6.2.1. Measures of relative compositional similarity and differentiation -- 6.2.2. Diversity and compositional similarity -- 6.2.3. Statistical estimation of assemblage differentiation and similarity -- 6.3. Prospectus -- 6.4. Key points -- 7. Measuring biological diversity in time (and space) / Anne E. Magurran -- 7.1. Introduction -- 7.2. State of the field: timescales of change and community boundaries -- 7.3. What is being measured? -- 7.4. Assessing change through time -- 7.4.1. Temporal turnover: species time curves -- 7.4.2. Temporal turnover: turnover indexes. |
spellingShingle | Biological diversity : frontiers in measurement and assessment / Challenges and opportunities in the measurement and assessment of biological diversity / Introduction -- State of the field -- What is in this book -- Acknowledgements -- Basic Measurement Issues -- An overview of sampling issues in species diversity and abundance surveys / Setting objectives -- An important partner: the statistician -- What species to sample -- Where to sample -- Bias, sampling error, and precision -- How to sample -- Quantifying the sample -- When to sample -- How many samples to collect -- Comparing information from different surveys -- Preparing for the field -- Prospectus -- Key points -- Biodiversity monitoring: the relevance of detectability / State of the field: which biodiversity measure? Detectability: are species counts relevant for monitoring biodiversity? -- Individual detectability -- Estimating individual detectability -- Species detectability -- Case study: the UK Breeding Bird Survey -- Discussion -- Diversity -- Estimating species richness / Sampling models for biodiversity data -- The species accumulation curve -- Climbing the species accumulation curve -- Species richness versus species density -- Individual-based rarefaction -- Sample-based rarefaction -- Assumptions of rarefaction -- Estimating asymptotic species richness -- Comparing estimators of asymptotic species richness -- Software for estimating species richness from sample data -- Measurement of species diversity / State of the art. Using species abundance distributions to evaluate change -- Assessing change using biodiversity indexes -- Measuring change in the rate of change -- Using temporal change to shed light on community structure -- Partitioning diversity in space and time -- Distribution -- Commonness and rarity / Commonness and rarity: ecological context -- Assessing commonness and rarity -- Species abundance distributions / Visual approaches to SADs -- Parametric approaches to SADs -- Non-parametric approaches to SADs -- Multivariate approaches to SADs -- Identifying a useful, parsimonious subset of SAD metrics -- Efficiency and bias -- Independence of measures -- Overall assessment of useful, parsimonious metrics of SADs -- Acknowledgements. Fitting and empirical evaluation of models for species abundance distributions / Species abundance models -- Obtaining predicted abundances -- Choosing parameters -- Goodness-of-fit testing -- Model selection -- Sampling theory for species abundance models -- Parameter estimation -- Conclusions -- Species occurrence and occupancy / Occupancy-area relationships -- Occupancy-abundance relationships -- Species occupancy distributions -- Measuring the spatial structure of biodiversity / What spatial structure is of interest? -- Number of variables recorded -- pattern or association? -- Types of data. State of the art -- Estimating intensity (first-order effects) -- Studying effects at a distance (second-order effects) -- Associations between two variables -- Software available -- Alternative measures of diversity -- A primer of trait and functional diversity / General definitions -- General importance -- A brief history of trait and functional diversity -- Overview -- Indices of trait and functional diversity -- Partitioning the components of trait diversity -- Methodological issues -- Conceptual issues -- Recommendations -- Future directions -- Measuring phylogenetic biodiversity / Approaching the study of phylogenetic diversity. Null models -- Simulation analyses -- Simulation results -- Phylogenetic diversity in conservation -- Phylogenetic diversity in community ecology -- Abundance vs presence-absence data -- Genetic methods for biodiversity assessment / Genetic methods in biodiversity assessment -- Mitochondrial, chloroplast, and nuclear DNA -- Genome technologies -- Biodiversity assessments -- Phylogenies for biodiversity assessment using mtDNA and nuclear DNA -- Non-invasively monitoring for biodiversity -- DNA barcoding for biodiversity assessment -- Genome technologies for biodiversity assessment -- Applications -- Microbial diversity and ecology / The diversity concept -- Phylogeny -- rRNA as an evolutionary chronometer. Methods for assessing diversity -- PCR-based methods -- Pyrosequencing -- Metagenomics -- Sampling, scale, and thresholds -- Mathematical tools for estimating diversity -- Collectors curves -- Chao's non-parametric estimators -- Parametric estimators that assume a distribution -- Estimating diversity by inferring a distribution from the data -- Estimation of required sample size -- In-depth metagenome analyses -- Biodiversity and disturbance / What is a disturbance? -- Source of the disturbance -- Timescale -- Spatial scale -- Intensity -- Specificity -- Summary -- State of the field: measuring the effects of disturbance on biodiversity -- Univariate metrics -- Species abundance distribution based metrics -- Multivariate analysis -- Measuring biodiversity in managed landscapes / Variation in biodiversity measurement goals -- Bioindicators and monitoring -- Measuring biodiversity for management -- Matrices for measurement -- Estimating extinction with the fossil record / Basic metrics -- Survivorship curves -- The importance of sampling -- Relevant studies -- Occurrence-based diversity estimates -- Gap analyses -- Key points. Estimating species density / The problem: what is the density of species? -- Defining the density of species -- Species density takes on new importance in an era of environmental concern -- Data set -- Data description -- Data manipulation -- NP: our surrogate for A -- Density estimates -- First density estimate -- Density estimates for subsets with a uniform plot size -- Curvature in SPARs -- Reducing the bias -- Extrapolation -- Estimators based on the frequency of scarce species -- Applying bias reduction -- Checking our results on the scale of all of Virginia -- Why species density? -- Species density as an environmental indicator -- Species density as a topic of study -- Conclusions / Biodiversity. http://id.loc.gov/authorities/subjects/sh87005569 Biodiversity Monitoring. http://id.loc.gov/authorities/subjects/sh2003009653 Biodiversity conservation. http://id.loc.gov/authorities/subjects/sh87005570 Biodiversité. Biodiversité Surveillance. Biodiversité Conservation. SCIENCE Life Sciences Biological Diversity. bisacsh Biodiversity fast Biodiversity conservation fast Biodiversity Monitoring fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh87005569 http://id.loc.gov/authorities/subjects/sh2003009653 http://id.loc.gov/authorities/subjects/sh87005570 |
title | Biological diversity : frontiers in measurement and assessment / |
title_alt | Challenges and opportunities in the measurement and assessment of biological diversity / Introduction -- State of the field -- What is in this book -- Acknowledgements -- Basic Measurement Issues -- An overview of sampling issues in species diversity and abundance surveys / Setting objectives -- An important partner: the statistician -- What species to sample -- Where to sample -- Bias, sampling error, and precision -- How to sample -- Quantifying the sample -- When to sample -- How many samples to collect -- Comparing information from different surveys -- Preparing for the field -- Prospectus -- Key points -- Biodiversity monitoring: the relevance of detectability / State of the field: which biodiversity measure? Detectability: are species counts relevant for monitoring biodiversity? -- Individual detectability -- Estimating individual detectability -- Species detectability -- Case study: the UK Breeding Bird Survey -- Discussion -- Diversity -- Estimating species richness / Sampling models for biodiversity data -- The species accumulation curve -- Climbing the species accumulation curve -- Species richness versus species density -- Individual-based rarefaction -- Sample-based rarefaction -- Assumptions of rarefaction -- Estimating asymptotic species richness -- Comparing estimators of asymptotic species richness -- Software for estimating species richness from sample data -- Measurement of species diversity / State of the art. Using species abundance distributions to evaluate change -- Assessing change using biodiversity indexes -- Measuring change in the rate of change -- Using temporal change to shed light on community structure -- Partitioning diversity in space and time -- Distribution -- Commonness and rarity / Commonness and rarity: ecological context -- Assessing commonness and rarity -- Species abundance distributions / Visual approaches to SADs -- Parametric approaches to SADs -- Non-parametric approaches to SADs -- Multivariate approaches to SADs -- Identifying a useful, parsimonious subset of SAD metrics -- Efficiency and bias -- Independence of measures -- Overall assessment of useful, parsimonious metrics of SADs -- Acknowledgements. Fitting and empirical evaluation of models for species abundance distributions / Species abundance models -- Obtaining predicted abundances -- Choosing parameters -- Goodness-of-fit testing -- Model selection -- Sampling theory for species abundance models -- Parameter estimation -- Conclusions -- Species occurrence and occupancy / Occupancy-area relationships -- Occupancy-abundance relationships -- Species occupancy distributions -- Measuring the spatial structure of biodiversity / What spatial structure is of interest? -- Number of variables recorded -- pattern or association? -- Types of data. State of the art -- Estimating intensity (first-order effects) -- Studying effects at a distance (second-order effects) -- Associations between two variables -- Software available -- Alternative measures of diversity -- A primer of trait and functional diversity / General definitions -- General importance -- A brief history of trait and functional diversity -- Overview -- Indices of trait and functional diversity -- Partitioning the components of trait diversity -- Methodological issues -- Conceptual issues -- Recommendations -- Future directions -- Measuring phylogenetic biodiversity / Approaching the study of phylogenetic diversity. Null models -- Simulation analyses -- Simulation results -- Phylogenetic diversity in conservation -- Phylogenetic diversity in community ecology -- Abundance vs presence-absence data -- Genetic methods for biodiversity assessment / Genetic methods in biodiversity assessment -- Mitochondrial, chloroplast, and nuclear DNA -- Genome technologies -- Biodiversity assessments -- Phylogenies for biodiversity assessment using mtDNA and nuclear DNA -- Non-invasively monitoring for biodiversity -- DNA barcoding for biodiversity assessment -- Genome technologies for biodiversity assessment -- Applications -- Microbial diversity and ecology / The diversity concept -- Phylogeny -- rRNA as an evolutionary chronometer. Methods for assessing diversity -- PCR-based methods -- Pyrosequencing -- Metagenomics -- Sampling, scale, and thresholds -- Mathematical tools for estimating diversity -- Collectors curves -- Chao's non-parametric estimators -- Parametric estimators that assume a distribution -- Estimating diversity by inferring a distribution from the data -- Estimation of required sample size -- In-depth metagenome analyses -- Biodiversity and disturbance / What is a disturbance? -- Source of the disturbance -- Timescale -- Spatial scale -- Intensity -- Specificity -- Summary -- State of the field: measuring the effects of disturbance on biodiversity -- Univariate metrics -- Species abundance distribution based metrics -- Multivariate analysis -- Measuring biodiversity in managed landscapes / Variation in biodiversity measurement goals -- Bioindicators and monitoring -- Measuring biodiversity for management -- Matrices for measurement -- Estimating extinction with the fossil record / Basic metrics -- Survivorship curves -- The importance of sampling -- Relevant studies -- Occurrence-based diversity estimates -- Gap analyses -- Key points. Estimating species density / The problem: what is the density of species? -- Defining the density of species -- Species density takes on new importance in an era of environmental concern -- Data set -- Data description -- Data manipulation -- NP: our surrogate for A -- Density estimates -- First density estimate -- Density estimates for subsets with a uniform plot size -- Curvature in SPARs -- Reducing the bias -- Extrapolation -- Estimators based on the frequency of scarce species -- Applying bias reduction -- Checking our results on the scale of all of Virginia -- Why species density? -- Species density as an environmental indicator -- Species density as a topic of study -- Conclusions / |
title_auth | Biological diversity : frontiers in measurement and assessment / |
title_exact_search | Biological diversity : frontiers in measurement and assessment / |
title_full | Biological diversity : frontiers in measurement and assessment / edited by Anne E. Magurran and Brian J. McGill. |
title_fullStr | Biological diversity : frontiers in measurement and assessment / edited by Anne E. Magurran and Brian J. McGill. |
title_full_unstemmed | Biological diversity : frontiers in measurement and assessment / edited by Anne E. Magurran and Brian J. McGill. |
title_short | Biological diversity : |
title_sort | biological diversity frontiers in measurement and assessment |
title_sub | frontiers in measurement and assessment / |
topic | Biodiversity. http://id.loc.gov/authorities/subjects/sh87005569 Biodiversity Monitoring. http://id.loc.gov/authorities/subjects/sh2003009653 Biodiversity conservation. http://id.loc.gov/authorities/subjects/sh87005570 Biodiversité. Biodiversité Surveillance. Biodiversité Conservation. SCIENCE Life Sciences Biological Diversity. bisacsh Biodiversity fast Biodiversity conservation fast Biodiversity Monitoring fast |
topic_facet | Biodiversity. Biodiversity Monitoring. Biodiversity conservation. Biodiversité. Biodiversité Surveillance. Biodiversité Conservation. SCIENCE Life Sciences Biological Diversity. Biodiversity Biodiversity conservation Biodiversity Monitoring |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=462693 |
work_keys_str_mv | AT magurranannee biologicaldiversityfrontiersinmeasurementandassessment AT mcgillbrianj biologicaldiversityfrontiersinmeasurementandassessment |