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The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement. Animal Movement is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of modeling approaches are reconciled in the book using a consistent notation. Models are organized into groups based on how they treat the underlying spatio-temporal process of movement. Connections among approaches are highlighted to allow the reader to form a broader view of animal movement analysis and its associations with traditional spatial and temporal statistical modeling. After an initial overview examining the role that animal movement plays in ecology, a primer on spatial and temporal statistics provides a solid foundation for the remainder of the book. Each subsequent chapter outlines a fundamental type of statistical model utilized in the contemporary analysis of telemetry data for animal movement inference. Descriptions begin with basic traditional forms and sequentially build up to general classes of models in each category. Important background and technical details for each class of model are provided, including spatial point process models, discrete-time dynamic models, and continuous-time stochastic process models. The book also covers the essential elements for how to accommodate multiple sources of uncertainty, such as location error and latent behavior states. In addition to thorough descriptions of animal movement models, differences and connections are also emphasized to provide a broader perspective of approaches.
The book is based on data collected during the past 10 years by Zackenberg Ecological Research Operations (ZERO) at Zackenberg Research Station in northeast Greenland. This volume covers the function of Arctic ecosystems based on the most comprehensive long-term data set in the world from a well-defined Arctic ecosystem. Editors offer a comprehensive and authoritative analysis of how climate variability is influencing an Arctic ecosystem and how the Arctic ecosystems have inherent feedback mechanisms interacting with climate variability or change. - The latest research on the functioning of Arctic ecosystems - Supplements current books on Arctic climate impact assessment as a case study for ecological specialists - Discusses the complex perpetuating effects on Earth - Vital information on modeling ecosystem responses to understand future climates
At least since Darwin argued that the difference in cognitive abilities between animals and humans is one of degree and not of kind, the study of animal cognition has been an active and dynamic subfield of behavioral sciences. It has, however, been based almost entirely on experimental studies of animals in captivity and belongs - as a field - more snugly in the realm of Psychology (or Ethology), with relatively little application to understanding the behavior of animals in the wild. Movement Ecology, in contrast, is a more recent branch of Ecology devoted almost entirely to the analysis of animal movements in the wild. Technological developments allow for animals to be tracked in the wild in ever-increasing numbers, precision, and duration. Movement ecology has, to some extent, “chased the data”, reflecting the practical need to analyze and interpret those data. Much of the most important developments of recent decades are devoted to dealing with the trickier aspects of the statistical analysis of movement data - which in their multidimensionality, autocorrelation, gappiness and measurement error, and behavioral complexity pose no shortage of hairy statistical problems.
This thematic volume represents an important and exciting benchmark in the study of food webs and other ecological networks, synthesizing and showcasing current research and highlighting future directions for the development of the field. - Updates and informs the reader on the latest research findings - Written by leading experts in the field - Highlights areas for future investigation
This thematic volume represents an important and exciting benchmark in the study of integrative ecology, synthesizing and showcasing current research and highlighting future directions for the development of the field. - Updates and informs the reader on the latest research findings - Written by leading experts in the field - Highlights areas for future investigation
Networks of Invasion bridges a conceptual gap between ecological network studies and invasion biology studies. This book contains chapters detailing pressing concerns regarding invasive species in food webs, but also extends the idea of networks of invasion to other systems, such as mutualistic networks or even the human microbiome. Chapters describe the tools, models, and empirical methods adapted for tackling invasions in ecological networks. - Contains chapters detailing pressing concerns regarding invasive species in food webs - Deals with topical and important reviews on the physiology, populations, and communities of plants and animals
Spatial patterns of movement are fundamental to the ecology of animal populations, influencing their social organization, mating systems, demography, and the spatial distribution of prey and competitors. However, our ability to understand the causes and consequences of animal home range patterns has been limited by the descriptive nature of the statistical models used to analyze them. In Mechanistic Home Range Analysis, Paul Moorcroft and Mark Lewis develop a radically new framework for studying animal home range patterns based on the analysis of correlated random work models for individual movement behavior. They use this framework to develop a series of mechanistic home range models for carnivore populations. The authors' analysis illustrates how, in contrast to traditional statistical home range models that merely describe pattern, mechanistic home range models can be used to discover the underlying ecological determinants of home range patterns observed in populations, make accurate predictions about how spatial distributions of home ranges will change following environmental or demographic disturbance, and analyze the functional significance of the movement strategies of individuals that give rise to observed patterns of space use. By providing researchers and graduate students of ecology and wildlife biology with a more illuminating way to analyze animal movement, Mechanistic Home Range Analysis will be an indispensable reference for years to come.