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| Author | : Phillip Cassey |
| Publisher | : |
| Total Pages | : 12 |
| Release | : 1999 |
| Genre | : Animal populations |
| ISBN | : |
| Author | : S. T. Buckland |
| Publisher | : OUP Oxford |
| Total Pages | : 434 |
| Release | : 2004-08-19 |
| Genre | : Mathematics |
| ISBN | : 0191545198 |
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.
| Author | : S. T. Buckland |
| Publisher | : Springer |
| Total Pages | : 285 |
| Release | : 2015-08-08 |
| Genre | : Medical |
| ISBN | : 3319192191 |
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.
| Author | : Phillip Cassey |
| Publisher | : |
| Total Pages | : 246 |
| Release | : 1997 |
| Genre | : Animal populations |
| ISBN | : |
| Author | : Stephen T. Buckland |
| Publisher | : |
| Total Pages | : 472 |
| Release | : 1993 |
| Genre | : Mathematics |
| ISBN | : |
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. ...
| Author | : S. T. Buckland |
| Publisher | : Springer |
| Total Pages | : 446 |
| Release | : 2011-09-28 |
| Genre | : Science |
| ISBN | : 9789401115759 |
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.
| Author | : S.T. Buckland |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2013-05-14 |
| Genre | : Science |
| ISBN | : 9789401115728 |
Our environment and natural food resources are continually coming under threat so that the monitoring of population trends is essential today. Whaling is a good example. Here politics and conservation often clash, and over the years more and more restrictions have been applied through the efforts of the International Whaling Commission in an endeavour to save some of our whale species from extinction. Localized fisheries also need to be monitored and quotas set each year. In some countries, sports fishing and hunting are popular so that information is needed about the populations being exploited in order to determine such things as the duration of hunting season and bag limits. Methods of estimating animal abundance have been developing steadily since the 1940s but over the last 20 years activity in this area has intensified and of this growth were two the subject has begun to blossom. At the centre of the authors of this book, David Anderson and Kenneth Burnham, who have widely published in this field. The need for computers in this area was soon recognized and David and Ken were joined by Jeffrey Laake who, with his computing expertise, helped to develop suitable software packages for implementing some of the new techniques. In the 1980s Stephen Buckland entered the arena and began to make his presence felt. Among other contributions, he firmly established the role of Monte Carlo and bootstrapping techniques in population estimation where the unique role of the computer could be fully exploited.
| Author | : Stephen T. Buckland |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2007 |
| Genre | : Mathematics |
| ISBN | : 9780199225873 |
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.
| Author | : S.T. Buckland |
| Publisher | : OUP Oxford |
| Total Pages | : 434 |
| Release | : 2004-08-19 |
| Genre | : Mathematics |
| ISBN | : 9780198507833 |
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).
| Author | : D.L. Borchers |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 321 |
| Release | : 2013-03-09 |
| Genre | : Mathematics |
| ISBN | : 1447137086 |
The first accessible introduction to the many various wildlife assessment methods! This book uses a new approach that makes the full range of methods accessible in a way that has not previously been possible. Accompanied by free, user-friendly software to get some "hands-on" experience with the methods and how they perform in different contexts.
