5 edition of Occupancy estimation and modeling found in the catalog.
Occupancy estimation and modeling
Published
2006
by Elsevier/Academic Press in Burlington, MA
.
Written in
Edition Notes
Includes bibliographical references (p. 293-312) and index
| Statement | Darryl I. MacKenzie ... [et al] |
| Contributions | MacKenzie, Darryl I |
| Classifications | |
|---|---|
| LC Classifications | QL752 .O23 2006 |
| The Physical Object | |
| Pagination | xviii, 324 p. : |
| Number of Pages | 324 |
| ID Numbers | |
| Open Library | OL17189720M |
| ISBN 10 | 0120887665 |
| LC Control Number | 2005051372 |
James E. Hines, in Occupancy Estimation and Modeling (Second Edition), Single-Season Studies: Modeling Occupancy and Detection. The joint modeling of the data from each unit may be used to address interesting biological hypotheses, such as whether groups of similar species at different units have a similar occupancy probability. Examines models for analyzing presence/absence data in occupancy measurement, and explores its importance in accurate population estimation. Using multiple models, this .
The following critiques express the opinions of the individual evaluators regarding the strengths, weaknesses, and value of the books they review. As such, the appraisals are subjective assessments and do not necessarily reflect the opinions of the editors or any official policy of the American Ornithologists' by: 1. Occupancy modeling. Now that we’ve created a data frame with detection histories and covariates, we can use unmarked to fit a single-season occupancy model. As mentioned above, readers can discover more about occupancy models and the variety of modeling approaches in MacKenzie et al.
Estimating percent-area-occupied and related dynamics from presence-absence data. Estimation of occupancy rates and associated dynamics (i.e. extinction and colonization) from presence-absence data is fundamental to many habitat models (Cabeza et al. ), metapopulation studies (Hanski & Gilpin ) and monitoring efforts. Such studies are. Publication type: Book chapter: Publication Subtype: Book Chapter: Title: Occupancy estimation and modeling for rare and elusive populations: Year Published.
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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 ing 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.
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.
Exercises in Occupancy Modeling and Estimation. The exercises presented here are designed as a teaching tool to explore the occupancy models described in the book, Occupancy Estimation and Modeling, by Darryl MacKenzie, James D.
Nichols, J. Andrew Royle, Kenneth Pollock, Larrisa L. Bailey, and James E. Hines. Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys.
Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct /5(12).
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 ing 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 3/5(6).
Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct.
Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based/5.
Occupancy models solve this problem and produce unbiased estimates of occupancy and related parameters. Required data (detection/non-detec-tion information) are relatively simple and inexpensive to collect.
Software is available free of charge to aid in-vestigators in occupancy estimation. Response Variables in Wildlife Studies. 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. Contents. Exercises in Occupancy Estimation and Modeling; Donovan and Hines Chapter 3 Page 3 1/29/ SINGLE-SPECIES, SINGLE-SEASON OCCUPANCY SPREADSHEET EXERCISE OBJECTIVES: • To learn and understand the basic occupancy model, and how it fits into a multinomial maximum likelihood Size: 2MB.
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. show more/5(18). WILD Occupancy Modeling Page 1 Occupancy estimation & modeling • Many interesting questions and applied problems in ecology and conservation require data from large spatial scales through a number of years • Often it is not possible to monitor abundance and/or vital rates across large spatial scales through timeFile Size: KB.
Single-season occupancy model – incorporating covariates If we run this simple model and view the real parameter estimates from this model, we see: Single-season occupancy model – incorporating covariates In occupancy analysis we are often interested in how the probability of occupancy varies among sitesFile Size: 2MB.
I am reading the book "Occupancy estimation and modelling". The occupancy model and ecological niche modelling are similar in the ability of estimating species distribution. Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys.
Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct. 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. About the Book. 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. This is the first book to examine the latest methods in analyzing presence/absence data surveys.
Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy.
Occupancy Estimation and Modeling. Inferring patterns and dynamics of species occurrence Article (PDF Available) in Wildlife Biology 12(4) December with Reads.
Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct /5(18).
Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct /5(9).
PRESENCE - Estimates patch occupancy rates and related parameters. This work is in collaboration with Darryl MacKenzie, and is largely funded by the Amphibian Research and Monitoring Initiative (ARMI). Contact Darryl if you would like to learn more about this nce - Provides an R interface for running occupancy models available in Program PRESENCE plus some.Darryl MacKenzie is again lead author on the second edition of Occupancy Estimation and Modelling.
Numerous extensions of the earlier methods, that have been developed since the publication of the first edition, are described in this greatly expanded version.
