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This handbook is a guide to the federal Endangered Species Act, the primary U.S. law aimed at protecting species of animals and plants from human threats to their survival. It is intended for lawyers, government agency employees, students, community activists, businesspeople, and any citizen who wants to understand the Act--its history, provisions, accomplishments, and failures.
For centuries, criminologists have looked for scientific ways to study, understand, and ultimately prevent crime. In this volume, a unique offense, poaching, is explored in various contexts to determine what opportunity structures favor this crime and how situational crime prevention may reduce its prevalence. The data sources used range from publically available secondary data about animal populations, to interviews with hunters, to actual law enforcement data collected inside protected areas. Various methods are utilized to look for patterns in poaching behaviour regarding where poachers strike, which species they target and their modus operandi. Collectively, the volume shows that principles of criminal opportunity theory and situational crime prevention are useful for studying and preventing poaching in a variety of contexts. The methods employed by each chapter are easily replicated and meant to stimulate empirical poaching research where data is available. While the theoretical grounding of this volume is drawn from criminology, it is written for a broad audience of academics, practitioners and those interested in wildlife conservation.
The population explosion that began in the 1960s has been accompanied by a decrease in the quality of the natural environment, e.g. pollution of the air, water and soil with essential and toxic trace elements. Numerous poisonings of people and animals with highly toxic anthropogenic Hg and Cd in the 20th century prompted the creation of the abiotic environment, mainly in developed countries. However, the system is insufficient for long-term exposure to low concentrations of various substances that are mainly ingested through food and water. This problem could be addressed by the monitoring of sentinels – organisms that accumulate trace elements and as such reflect the rate and degree of environmental pollution. Usually these are long-lived vertebrates – herbivorous, omnivorous and carnivorous birds and mammals, especially game species. This book describes the responses of the sentinels most commonly used in ecotoxicological studies to 17 trace elements.
Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.
This textbook presents a comprehensive overview of the environmental impacts of various types of adventure tourism and how these can be best managed. This volume follows on from the authors previous textbook – ‘Outdoor Recreation: Environmental Impacts and Management’ and continues the aim of developing a deeper understanding of how tourist numbers impact the environment and to provide practical solutions to these problems. Combining their own first-hand experience and research with extensive literature review the authors' present several popular adventure tourism destinations from across the globe, including the Arctic, the Himalayas, Africa, Australia and Scotland as case studies. Chapters cover the particular challenges faced by each region: including impacts on animals and birds; the spread of invasive plant species and diseases; trail impacts on vegetation; impacts on geological, historical and archaeological sites and pollution and waste issues. A discussion and evaluation of the possible management actions for minimising these impacts and how outdoor recreation tourists can be regulated concludes each chapter. This practical and engaging textbook will be invaluable to students and scholars of adventure tourism and outdoor recreation as well as practitioners and managers working in the field.
From the lush forests of Appalachia to the frozen tundra of Alaska, and from the tallgrass prairies of the Midwest to the subtropical rainforests of Hawaii, the United States harbors a remarkable array of ecosystems. These ecosystems in turn sustain an exceptional variety of plant and animal life. For species such as salamanders and freshwater turtles, the United States ranks as the global center of diversity. Among the nation's other unique biological features are California's coast redwoods, the world's tallest trees, and Nevada's Devils Hole pupfish, which survives in a single ten-by-seventy-foot desert pool, the smallest range of any vertebrate animal. Precious Heritage draws together for the first time a quarter century of information on U.S. biodiversity developed by natural heritage programs from across the country. This richly illustrated volume not only documents those aspects of U.S. biodiversity that are particularly noteworthy, but also considers how our species and ecosystems are faring, what is threatening them, and what is needed to protect the nation's remaining natural inheritance. Above all, Precious Heritage is a celebration of the extraordinary biological diversity of the United States.
Carrion, or dead animal matter, is an inherent component of aquatic and terrestrial ecosystems worldwide, and is exploited by a wide diversity of organisms from different trophic levels, including microbes, arthropods and vertebrates. Further, carrion consumption by scavengers, i.e. scavenging, supports key ecosystem functions and services such as recycling nutrients and energy, disposing of carcasses and regulating disease spread. Yet, unlike dead plant matter, dead animal decomposition has received little attention in the fields of ecology, wildlife conservation and environmental management, and as a result the management of carrion for maintaining biodiversity and functional ecosystems has been limited. This book addresses the main ecological patterns and processes relating to the generation and consumption of carrion both in terrestrial and aquatic ecosystems. It also discusses a number of conservation concerns and associated management issues, particularly regarding the increasing role of human-mediated carrion in ecosystems. Lastly, the book outlines future research lines in carrion ecology and management, and identifies the major challenges for scavengers and scavenging processes in the Anthropocene.