What animal has a furry body, a short tail, and sharp claws? Prairie dogs! But do you know where prairie dogs live? Or what sounds a prairie dog makes? Read this book to find out! Learn all about different animals in the Animal Close-Ups series—part of the Lightning Bolt BooksTM collection. With high-energy designs, exciting photos, and fun text, Lightning Bolt BooksTM bring nonfiction topics to life!
The prairie dog is a colonial, keystone species of the grassland ecosystem of western North America. Myriad animals regularly visit colony-sites to feed on the grass there, to use the burrows for shelter or nesting, or to prey on the prairie dogs. Unfortunately, prairie dogs are disappearing, and the current number is only about 2% of the number encountered by Lewis and Clark in the early 1800s. Part I of Conservation of the Black-Tailed Prairie Dog summarizes ecology and social behavior for pivotal issues such as when prairie dogs breed, how far they disperse, how they affect other organisms, and how much they compete with livestock. Part II documents how loss of habitat, poisoning, plague, and recreational shooting have caused the precipitous decline of prairie dog populations over the last 200 years. Part III proposes practical solutions that can ensure the long-term survival of the prairie dog and its grassland ecosystem, and also are fair to private landowners. We cannot expect farmers and ranchers to bear all the costs of conservation while the rest of us enjoy all the benefits. With 700 references, 37 tables, 75 figures and photographs, and a glossary, Conservation of the Black-Tailed Prairie Dog is a unique and vital contribution for wildlife managers, politicians, environmentalists, and curious naturalists.
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. - Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest - Written in a step-by-step approach that allows for eased understanding by non-statisticians - Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data - All example data as well as additional functions are provided in the R-package blmeco
A leading anthropologist studies the science behind "feeling at home" to show us how home made us human Home is where the heart is. Security, comfort, even love, are all feelings that are centered on the humble abode. But what if there is more to the feeling of being at home? Neuroanthropologist John S. Allen believes that the human habitat is one of the most important products of human cognitive, technological, and cultural evolution over the past two million years. In Home, Allen argues that to "feel at home" is more than just an expression, but reflects a deep-seated cognitive basis for the human desire to have, use, and enjoy a place of one's own. Allen addresses the very basic question: How did a place to sleep become a home? Within human evolution, he ranks house and home as a signature development of our species, as it emerged alongside cooperative hunting, language, and other critical aspects of humanity. Many animals burrow, making permanent home bases, but primates, generally speaking, do not: most wander, making nests at night wherever they might find themselves. This is often in home territory, but it isn't quite home. Our hominid ancestors were wanderers, too -- so how did we, over the past several million years, find our way home? To tell that story Allen will take us through evolutionary anthropology, neuroscience, the study of emotion, and modern sociology. He examines the home from the inside (of our heads) out: homes are built with our brains as much as with our hands and tools. Allen argues that the thing that may have been most critical in our evolution is not the physical aspect of a home, but developing a feeling of defining, creating, and being in a home, whatever its physical form. The result was an environment, relatively secure against whatever horrors lurked outside, that enabled the expensive but creative human mind to reach its full flowering. Today, with the threat of homelessness, child foster-care, and foreclosure, this idea of having a home is more powerful than ever. In a clear and accessible writing style, Allen sheds light on the deep, cognitive sources of the pleasures of having a home, the evolution of those behaviors, and why the deep reasons why they matter. Home is the story about how humans evolved to create a space not only for shelter, but also for nurturing creativity, innovation, and culture -- and why "feeling at home" is a fundamental aspect of the human condition.
