Population Ecology in Practice

Population Ecology in Practice
Author: Dennis L. Murray
Publisher: John Wiley & Sons
Total Pages: 448
Release: 2020-02-10
Genre: Science
ISBN: 0470674148

A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology. The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to ecological data. The book covers new tools for designing robust field studies; estimation of abundance and demographic rates; matrix population models and analyses of population dynamics; and current approaches for genetic and spatial analysis. Each chapter is illustrated by empirical examples based on real datasets, with a companion website that offers online exercises and examples of computer code in the R statistical software platform. Fills a niche for a book that emphasizes applied aspects of population analysis Covers many of the current methods being used to analyse population dynamics and structure Illustrates the application of specific analytical methods through worked examples based on real datasets Offers readers the opportunity to work through examples or adapt the routines to their own datasets using computer code in the R statistical platform Population Ecology in Practice is an excellent book for upper-level undergraduate and graduate students taking courses in population ecology or ecological statistics, as well as established researchers needing a desktop reference for contemporary methods used to develop robust population assessments.

Statistical Models

Statistical Models
Author: David A. Freedman
Publisher: Cambridge University Press
Total Pages: 459
Release: 2009-04-27
Genre: Mathematics
ISBN: 1139477315

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

The Basic Practice of Statistics

The Basic Practice of Statistics
Author: David S. Moore
Publisher: Palgrave Macmillan
Total Pages: 975
Release: 2010
Genre: Mathematics
ISBN: 1429224266

This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.

Statistical Ecology in Practice

Statistical Ecology in Practice
Author: Stephen Waite
Publisher: Addison-Wesley Longman Limited
Total Pages: 414
Release: 2000-01
Genre: Science
ISBN: 9780582236349

This text combines principles of good field ecology research design with practical statistical analysis, suited to the needs of advanced students taking Field Ecology courses or undertaking projects that contribute to their final degree classification.

Statistics in Practice

Statistics in Practice
Author: David S. Moore
Publisher: Macmillan Higher Education
Total Pages: 937
Release: 2014-07-18
Genre: Mathematics
ISBN: 1464196656

Statistics in Practice is an exciting new addition to W.H. Freeman’s introductory statistics list. Co-authored by David Moore, it maintains his pioneering data analysis approach but incorporates significant changes designed to help students. Statistics in Practice introduces data collection early, covers tests of proportions first before tests of means, and engages students with its conversational writing style. SIP is a modern approach to the introductory statistics course, clearly showing the importance of statistics to students during their academic life and beyond.

Practical Methods in Ecology

Practical Methods in Ecology
Author: Peter A. Henderson
Publisher: John Wiley & Sons
Total Pages: 176
Release: 2009-04-13
Genre: Science
ISBN: 1444312278

There are few books available that provide a good introduction tothe methods and techniques for ecological research. This book willbe invaluable to lecturers teaching field courses and studentsundertaking project work in ecology. Each chapter will focus on an ecological technique. It will havean introductory section that describes the ecological principlesand theory. This will then be followed by example applications.These will focus on three most common habitats where teachers takestudents for fieldwork; the seashore, ponds and lakes, fields andwoodland. Gives specific worked examples from the main ecosystems usedfor undergraduate study - seashore, lakes/ponds, field andwoodland. Only introductory text specifically focused on fieldtechniques. Great 'how-to' guide that will show student exactly how tocarry out each method. Only text to emphasise the principles behind the techniques -taking a methods based approach rather than a taxonomic approach(eg chapters split into population measures, biodiversity measures,species richness measures rather than methods for invertebrates,methods for mammals, methods for birds etc). Greater emphasis on the equipment involved - how to make it,where to buy it. Good references to further reading and advancedtechniques.

Statistical Ecology

Statistical Ecology
Author: Linda J. Young
Publisher: Springer Science & Business Media
Total Pages: 581
Release: 2013-04-17
Genre: Science
ISBN: 1475728298

Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist. Unique to this book is a focus on ecological data for single-species populations, from sampling through modeling. Examples come from real situations in pest management, forestry, wildlife biology, plant protection, and environmental studies, as well as from classical ecology. All those using this book will acquire a strong foundation in the statistical methods of modern ecological research. This textbook is for late undergraduate and graduate students, and for professionals.

Analyzing Ecological Data

Analyzing Ecological Data
Author: Alain Zuur
Publisher: Springer
Total Pages: 686
Release: 2007-08-29
Genre: Science
ISBN: 0387459723

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Geostatistics for Environmental Scientists

Geostatistics for Environmental Scientists
Author: Richard Webster
Publisher: John Wiley & Sons
Total Pages: 330
Release: 2007-10-22
Genre: Mathematics
ISBN: 9780470517260

Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited. Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved.