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This is an updated version of the best selling first edition, Ecological Census Techniques, with updating, some new chapters and authors. Almost all ecological and conservation work involves carrying out a census or survey. This practically focussed book describes how to plan a census, the practical details and shows with worked examples how to analyse the results. The first three chapters describe planning, sampling and the basic theory necessary for carrying out a census. In the subsequent chapters international experts describe the appropriate methods for counting plants, insects, fish, amphibians, reptiles, mammals and birds. As many censuses also relate the results to environmental variability, there is a chapter explaining the main methods. Finally, there is a list of the most common mistakes encountered when carrying out a census.
Wild birds are counted for a wide variety of reasons and by a bewildering array of methods. However, detailed descriptions of the techniques used and the rationale adopted are scattered in the literature, and the newcomer to bird census work or the experienced bird counter in search of a wider view, may well have difficulty in coming to grips with the subject as a whole. While not an end in itself, numerical and distributional census work is a fundamental part of many scientific and conservation studies, and one in which the application of given standards is vital if results are not to be distorted or applied in a misleading way.This book provides a concise guide to the various census techniques and to the opportunities and pitfalls which each entails. The common methods are described in detail, and illustrated through an abundance of diagrams showing examples of actual and theoretical census studies. Anyone with a bird census job to plan should be able to select the method best suited to the study at hand, and to apply it to best effect within the limits inherent in it and the constraints of the particular study.The Royal Society for the Protection of Birds and the British Trust for Ornithology have for many years pioneered the collaboration of amateurs and professionals in various census studies. Three members of their staff, each with extensive field experience, now pool the knowledge of these investigations to lay the groundwork for sound census work in future years.
To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.
Ecological Methods by the late T.R. E. Southwood and revised over the years by P. A. Henderson has developed into a classic reference work for the field biologist. It provides a handbook of ecological methods and analytical techniques pertinent to the study of animals, with an emphasis on non-microscopic animals in both terrestrial and aquatic environments. It remains unique in the breadth of the methods presented and in the depth of the literature cited, stretching right back to the earliest days of ecological research. The universal availability of R as an open source package has radically changed the way ecologists analyse their data. In response, Southwood's classic text has been thoroughly revised to be more relevant and useful to a new generation of ecologists, making the vast resource of R packages more readily available to the wider ecological community. By focusing on the use of R for data analysis, supported by worked examples, the book is now more accessible than previous editions to students requiring support and ideas for their projects. Southwood's Ecological Methods provides a crucial resource for both graduate students and research scientists in applied ecology, wildlife ecology, fisheries, agriculture, conservation biology, and habitat ecology. It will also be useful to the many professional ecologists, wildlife biologists, conservation biologists and practitioners requiring an authoritative overview of ecological methodology.
This Handbook, first published in 2005, provides standard procedures for planning and conducting a survey of any species or habitat and for evaluating the data.
This practical volume brings together a group of distinguished primate researchers to synthesise field, laboratory, and conservation management techniques for primate ecology and conservation.
This book introduces experimental design and data analysis / interpretation as well as field monitoring skills for both plants and animals. Clearly structured throughout and written in a student-friendly manner, the main emphasis of the book concentrates on the techniques required to design a field based ecological survey and shows how to execute an appropriate sampling regime. The book evaluates appropriate methods, including the problems associated with various techniques and their inherent flaws (e.g. low sample sizes, large amount of field or laboratory work, high cost etc). This provides a resource base outlining details from the planning stage, into the field, guiding through sampling and finally through organism identification in the laboratory and computer based data analysis and interpretation. The text is divided into six distinct chapters. The first chapter covers planning, including health and safety together with information on a variety of statistical techniques for examining and analysing data. Following a chapter dealing with site characterisation and general aspects of species identification, subsequent chapters describe the techniques used to survey and census particular groups of organisms. The final chapter covers interpreting and presenting data and writing up the research. The emphasis here is on appropriate wording of interpretation and structure and content of the report.
To provide useful and meaningful information, long-term ecological programs need to implement solid and efficient statistical approaches for collecting and analyzing data. This volume provides rigorous guidance on quantitative issues in monitoring, with contributions from world experts in the field. These experts have extensive experience in teaching fundamental and advanced ideas and methods to natural resource managers, scientists and students. The chapters present a range of tools and approaches, including detailed coverage of variance component estimation and quantitative selection among alternative designs; spatially balanced sampling; sampling strategies integrating design- and model-based approaches; and advanced analytical approaches such as hierarchical and structural equation modelling. Making these tools more accessible to ecologists and other monitoring practitioners across numerous disciplines, this is a valuable resource for any professional whose work deals with ecological monitoring. Supplementary example software code is available online at www.cambridge.org/9780521191548.
Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays offers many fresh and important contributions to the study of ecological inference.