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Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence

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Title: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
Description: Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling. - Provides authoritative insights into the latest in occupancy modeling - Examines the latest methods in analyzing detection/no detection data surveys - Addresses critical issues of imperfect detectability and its effects on species occurrence estimation - Discusses important study design considerations such as defining sample units, sample size determination and optimal effort allocation
Authors: Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Larissa Bailey, James E. Hines
Resource Type: eBook.
Subjects: Animal populations--Mathematical models, Animal populations--Estimates
Categories: MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Stochastic Processes
Database: eBook Collection (EBSCOhost)
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  Data: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
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  Data: Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling. - Provides authoritative insights into the latest in occupancy modeling - Examines the latest methods in analyzing detection/no detection data surveys - Addresses critical issues of imperfect detectability and its effects on species occurrence estimation - Discusses important study design considerations such as defining sample units, sample size determination and optimal effort allocation
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  Data: <searchLink fieldCode="AR" term="%22Darryl+I%2E+MacKenzie%22">Darryl I. MacKenzie</searchLink><br /><searchLink fieldCode="AR" term="%22James+D%2E+Nichols%22">James D. Nichols</searchLink><br /><searchLink fieldCode="AR" term="%22J%2E+Andrew+Royle%22">J. Andrew Royle</searchLink><br /><searchLink fieldCode="AR" term="%22Kenneth+H%2E+Pollock%22">Kenneth H. Pollock</searchLink><br /><searchLink fieldCode="AR" term="%22Larissa+Bailey%22">Larissa Bailey</searchLink><br /><searchLink fieldCode="AR" term="%22James+E%2E+Hines%22">James E. Hines</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Animal+populations--Mathematical+models%22">Animal populations--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Animal+populations--Estimates%22">Animal populations--Estimates</searchLink>
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      – Code: 591.788015118
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Animal populations--Mathematical models
        Type: general
      – SubjectFull: Animal populations--Estimates
        Type: general
    Titles:
      – TitleFull: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
        Type: main
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          Name:
            NameFull: Darryl I. MacKenzie
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            NameFull: James D. Nichols
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            NameFull: J. Andrew Royle
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            NameFull: Kenneth H. Pollock
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            NameFull: Larissa Bailey
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            NameFull: James E. Hines
      – PersonEntity:
          Name:
            NameFull: Darryl I. MacKenzie
      – PersonEntity:
          Name:
            NameFull: James D. Nichols
      – PersonEntity:
          Name:
            NameFull: J. Andrew Royle
      – PersonEntity:
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            NameFull: Kenneth H. Pollock
      – PersonEntity:
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            NameFull: Larissa Bailey
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            NameFull: James E. Hines
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2018
            – D: 15
              M: 11
              Type: profile
              Y: 2017
          Identifiers:
            – Type: isbn-print
              Value: 9780124071971
            – Type: isbn-electronic
              Value: 9780124072459
          Titles:
            – TitleFull: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
              Type: main
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