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Advanced Distance Sampling

Advanced Distance Sampling
Author: S. T. Buckland
Publisher: OUP Oxford
Total Pages: 434
Release: 2004-08-19
Genre: Mathematics
ISBN: 0191545198

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This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow up companion to Introduction to Distance Sampling (OUP, 2001). In this text, a general theoretical basis is established for methods of estimating animal abundance from sightings surveys, and a wide range of approaches to analysis of sightings data is explored. These approaches include: modelling animal detectability as a function of covariates, where the effects of habitat, observer, weather, etc. on detectability can be assessed; estimating animal density as a function of location, allowing for example animal density to be related to habitat and other locational covariates; estimating change over time in populations, a necessary aspect of any monitoring programme; estimation when detection of animals on the line or at the point is uncertain, as often occurs for marine populations, or when the survey region has dense cover; survey design and automated design algorithms, allowing rapid generation of sound survey designs using geographic information systems; adaptive distance sampling methods, which concentrate survey effort in areas of high animal density; passive distance sampling methods, which extend the application of distance sampling to species that cannot be readily detected in sightings surveys, but can be trapped; and testing of methods by simulation, so that performance of the approach in varying circumstances can be assessed.


Advanced Distance Sampling

Advanced Distance Sampling
Author: Stephen T. Buckland
Publisher:
Total Pages: 0
Release: 2023
Genre: Population biology
ISBN: 9781383021752

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Addressing new methodologies and technologies, this text focuses on the use of distance sampling to estimate the density and abundance of biological populations.


Advanced Distance Sampling

Advanced Distance Sampling
Author: Stephen T. Buckland
Publisher:
Total Pages: 0
Release: 2007
Genre: Mathematics
ISBN: 9780199225873

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This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow up companion to Introduction to Distance Sampling (OUP,2001).In this text, a general theoretical basis is established for methods of estimating animal abundance from sightings surveys, and a wide range of approaches to analysis of sightings data is explored. These approaches include: modelling animal detectability as a function of covariates, where theeffects of habitat, observer, weather, etc. on detectability can be assessed; estimating animal density as a function of location, allowing for example animal density to be related to habitat and other locational covariates; estimating change over time in populations, a necessary aspect of anymonitoring programme; estimation when detection of animals on the line or at the point is uncertain, as often occurs for marine populations, or when the survey region has dense cover; survey design and automated design algorithms, allowing rapid generation of sound survey designs using geographicinformation systems; adaptive distance sampling methods, which concentrate survey effort in areas of high animal density; passive distance sampling methods, which extend the application of distance sampling to species that cannot be readily detected in sightings surveys, but can be trapped; andtesting of methods by simulation, so that performance of the approach in varying circumstances can be assessed.


Advanced Distance Sampling

Advanced Distance Sampling
Author: S.T. Buckland
Publisher: OUP Oxford
Total Pages: 434
Release: 2004-08-19
Genre: Mathematics
ISBN: 9780198507833

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This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow up companion to Introduction to Distance Sampling (OUP, 2001).


Distance Sampling: Methods and Applications

Distance Sampling: Methods and Applications
Author: S. T. Buckland
Publisher: Springer
Total Pages: 285
Release: 2015-08-08
Genre: Medical
ISBN: 3319192191

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In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling. In the decade since the last book published, there have been a number of new developments. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while also including recent developments in method, software and application. Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying website. Some of the case studies use the software Distance, while others use R code. The book is in three parts. The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues. The second part develops a range of modelling approaches for distance sampling data. The third part describes variations in the basic method; discusses special issues that arise when sampling different taxa (songbirds, seabirds, cetaceans, primates, ungulates, butterflies, and plants); considers advances to deal with failures of the key assumptions; and provides a check-list for those conducting surveys.


Distance Sampling

Distance Sampling
Author: Stephen T. Buckland
Publisher:
Total Pages: 472
Release: 1993
Genre: Mathematics
ISBN:

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Introductory concepts. Introduction. Range of applications. Types of data. Known constants and parameters. Assumptions. Fundamental concept. Detection. History of methods. Program DISTANCE. Assumptions and modelling philosophy. Assumptions. Fundamental models. Philosophy and strategy. Robust models. Some analysis guidelines. Statistical theory. General formula. Hazard-rate modelling of the detection process. The key function formulation for distance data. Maximum likelihood methods. Choice of model. Estimation for clustered populations. Density, variance and interval estimation. Stratification and covariates. Line transects. Introduction. Example data. Truncation. Extensions and related work. Other models. Modelling variation in encounter rate and cluster size. Estimation of the probability of detection on the line or pint. On the concept of detection search effort. Fixed versus random sample size. Efficient simulation of distance data. Thoughts about a full likelihood approach. Distance sampling in three dimensions. ...


Distance Sampling

Distance Sampling
Author: S. T. Buckland
Publisher: Springer
Total Pages: 446
Release: 1993-05-27
Genre: Science
ISBN: 9780412426704

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one can choose a point instead and measure the radial distances of the animals detected. It is very appropriate that the leading exponents in this field have come together to produce an authoritative description on 'how to do it'. They bring with them many years of experience in this research area. This book is a must for all those involved in estimating animal abundance as the methods can be used for such a wide variety of animal species including birds and marine mammals. The methods also apply to clusters of animals such as schools of dolphins and to animal signs. The beauty of such methods lies in the fact that not every animal has to be seen when a population is investigated. At the heart of the methodology is a 'detectability' function which is estimated in some robust fashion from the distances to the animals actually seen. Many species are not always visible and may be detected by the sounds they make or by being flushed out into the open. Clearly animals can have widely different behaviour patterns so that different models will be needed for different situations. This book provides a tool box of such methods with a computer package which helps the researcher to select the right tool for each occasion. The authors have a reputation for being very thorough and, typically, they endeavour to cover every conceivable situation that might be encountered in the field.


Spatial Capture-Recapture

Spatial Capture-Recapture
Author: J. Andrew Royle
Publisher: Academic Press
Total Pages: 609
Release: 2013-08-27
Genre: Science
ISBN: 012407152X

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Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge. Spatial Capture-Recapture provides you with an extensive step-by-step analysis of many data sets using different software implementations. The authors' approach is practical – it embraces Bayesian and classical inference strategies to give the reader different options to get the job done. In addition, Spatial Capture-Recapture provides data sets, sample code and computing scripts in an R package. Comprehensive reference on revolutionary new methods in ecology makes this the first and only book on the topic Every methodological element has a detailed worked example with a code template, allowing you to learn by example Includes an R package that contains all computer code and data sets on companion website


Introduction to Distance Sampling

Introduction to Distance Sampling
Author: Stephen T. Buckland
Publisher:
Total Pages: 432
Release: 2001
Genre: Animal populations
ISBN: 9786610829521

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This book introduces the suite of techniques known as 'distance sampling', so-called because the common theme is the sampling of distances of objects from a line or point. The objects are usually animals or groups of animals ('clusters'), and the primary aim is to estimate their density or abundance in a survey area. In line transect sampling, the sampled distances are the shortest or perpendicular distance from a detected object to the line. It is the most widely used method for assessing the abundance of a wide range of terrestrial and marine animals. In point transect sampling, distances of detected objects from the sampled points are recorded. This book provides a comprehensive introduction to both techniques, and also describes several related techniques. "Introduction to Distance Sampling" updates the 1993 book "Distance Sampling," which was the first, and until now, only book devoted to the topic. The book is aimed at quantitative biologists and wildlife managers, and statisticians involved in wildlife monitoring programmes. Of particular significance in this update is the chapter on study design and field methods, which has been extensively rewritten and extended.; New technologies such as laser range finders, theodolites and the Geographical Positioning System (GPS) are discussed, and advice is given on a wide range of survey methods. Analysis methods have also been generalized, through the use of various types of multiplier. Many exercises have been introduced, to make the book more useful to graduate students in wildlife and conservation management.


Measuring Abundance

Measuring Abundance
Author: Graham Upton
Publisher: Pelagic Publishing Ltd
Total Pages: 278
Release: 2020-10-12
Genre: Science
ISBN: 1784272337

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Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring. This book brings together in one place, for the first time, the methods used to estimate the abundance of individuals in nature. The statistical basis of each method is detailed along with practical considerations for survey design and data collection. Methods are illustrated using data ranging from Alaskan shrubs to Yellowstone grizzly bears, not forgetting Costa Rican ants and Prince Edward Island lobsters. Where necessary, example code for use with the open source software R is supplied. When appropriate, reference is made to other widely used programs. After opening with a brief synopsis of relevant statistical methods, the first section deals with the abundance of stationary items such as trees, shrubs, coral, etc. Following a discussion of the use of quadrats and transects in the contexts of forestry sampling and the assessment of plant cover, there are chapters addressing line-intercept sampling, the use of nearest-neighbour distances, and variable sized plots. The second section deals with individuals that move, such as birds, mammals, reptiles, fish, etc. Approaches discussed include double-observer sampling, removal sampling, capture-recapture methods and distance sampling. The final section deals with the measurement of species richness; species diversity; species-abundance distributions; and other aspects of diversity such as evenness, similarity, turnover and rarity. This is an essential reference for anyone involved in advanced undergraduate or postgraduate ecological research and teaching, or those planning and carrying out data analysis as part of conservation survey and monitoring programmes.