Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richnessoffers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management.
This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields.
Dr Kery is a Population Ecologist with the Swiss Ornithological Institute and a courtesy professor ("Privatdozent") at the University of Zürich/Switzerland, from where he received his PhD in Ecology in 2000. He is an expert in the estimation and modeling of abundance, distribution and species richness in "metapopulation designs" (i.e., collections of replicate sites). For most of his work, he uses the Bayesian model fitting software BUGS and JAGS, about which he has published two books with Academic Press (2010 and 2012). He has authored/coauthored 70 peer-reviewed articles and four book chapters. Since 2007, and for a total of 103 days, he has taught 23 statistical modeling workshops about the methods in the proposed book at research institutes and universities all over the world.
Dr Royle is currently a Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal sampling and demographic modeling. Much of his research over the last 10 years has been devoted to the development of methods illustrated in our new book. He has authored or coauthored more than 100 journal articles, and co-authored the books Spatial Capture Recapture, Hierarchical Modeling and Inference in Ecology and Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, all published by Academic Press.
Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R
Step-by-step instructions for fitting models to messy, real-world data
Balanced view of different statistical approaches
Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling)
Techniques for data manipulation and graphical display
Companion Web site with data and R code for all examples
This book introduces the reader to a balanced coverage ofconcepts and theories central to community ecology, using examplesdrawn from terrestrial, freshwater, and marine systems, andfocusing on animal, plant, and microbial species. Thehistorical development of key concepts is described usingdescriptions of classic studies, while examples of exciting newdevelopments in recent studies are used to point toward futureadvances in our understanding of community organization.Throughout, there is an emphasis on the crucial interplay betweenobservations, experiments, and mathematical models.
This second updated edition is a valuable resource for advancedundergraduates, graduate students, and establishedscientists who seek a broad overview of community ecology.The book has developed from a course in community ecology that hasbeen taught by the author since 1983.
Figures and tables can be downloaded for free from ahref="http://www.wiley.com/go/morin/communityecology"www.wiley.com/go/morin/communityecology/a
"During the entire course of my Ph.D. I've been(embarrasingly) looking for a way to teach myself the fundamentalsof statistical analysis. At this point in my education, I've cometo realize that often times, simply knowing the basics is enoughfor you to properly apply even the most complex analytical methods.‘Statistics for Terrified Biologists’ has been justsuch a book - it was more than worth the $40 I spent on it, andwhile my 'book clubs' aren't meant to be reviews, I highlyrecommend the book to anyone who's in a similar predicament to myown." –Carlo Artieri's Blog Book Club
The typical biology student is “hardwired” to bewary of any tasks involving the application of mathematics andstatistical analyses, but the plain fact is much of biologyrequires interpretation of experimental data through the use ofstatistical methods.
This unique textbook aims to demystify statistical formulae forthe average biology student. Written in a lively and engagingstyle, Statistics for Terrified Biologists draws on theauthor’s 30 years of lecturing experience. One of theforemost entomologists of his generation, van Emden has anextensive track record for successfully teaching statisticalmethods to even the most guarded of biology students.
For the first time basic methods are presented usingstraightforward, jargon-free language. Students are taught to usesimple formulae accurately to interpret what is being measured witheach test and statistic, while at the same time learning torecognize overall patterns and guiding principles. Complemented bysimple illustrations and useful case studies, this is an idealstatistics resource tool for undergraduate biology andenvironmental science students who lack confidence in theirmathematical abilities.