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Wild Life Management without Tears presents innovative ideas to manage wildlife areas in order to conserve and protect wildlife. Many a time, we don’t know what are the factors responsible for the decline in the number of tigers and other wild animals in an area and what exactly we should do to prevent it. This book is all about the success story of Pench Tiger Reserve, Seoni, Madhya Pradesh, which has been rated the number one tiger reserve in India by the Ministry of Environment and Forests since 2010. The valuable contribution of eco-tourism in the conservation of wildlife in the area has been explained. Man-animal conflict is another field dealt with in this book, which is very vital for the conservation of wild animals. The various habitat components that are necessary for the conservation of wildlife have been highlighted. This book will be useful for managers of wildlife areas and forest areas, students, environmentalists, policy makers and the public in general to understand the importance of wildlife and why it is necessary to conserve nature and wildlife for the very existence of mankind.
Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches. Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.
This book offers an all-encompassing resource for reliable information on the medical management of wild birds, mammals, amphibians, and turtles. Focusing on the medical information relevant to the wildlife setting, it covers triage, emergency care, and other key considerations in handling, diagnosing, and treating wild animals. The book's population-based approach encourages practitioners to understand individual animal care within the broader context. Medical Management of Wildlife Species: A Guide for Practitioners begins with a brief summary of natural history, and introductory chapters address general topics such as pre-release conditioning, post-release monitoring, and legal issues associated with handling wildlife species. Species-specific chapters provide practical information on medical management, including the most prevalent concerns for each species and the epidemiology of infectious diseases. Provides a complete reference to handling, diagnosing, and treating wild species Covers the full range of North American wildlife Includes concepts that can be applied to species globally Emphasizes information relevant to the wildlife setting Focuses on individual medicine, firmly grounded within population medicine for a broader approach Targeted at wildlife veterinarians, veterinary clinicians that will be presented with wildlife, veterinary technicians, and wildlife rehabilitators Medical Management of Wildlife Species is a must-have addition to the bookshelf of wildlife veterinarians and any veterinarian seeing occasional wild animals, as well as wildlife biologists and researchers.
Wild Life Management without Tears presents innovative ideas to manage wildlife areas in order to conserve and protect wildlife. Many a time, we don't know what are the factors responsible for the decline in the number of tigers and other wild animals in an area and what exactly we should do to prevent it. This book is all about the success story of Pench Tiger Reserve, Seoni, Madhya Pradesh, which has been rated the number one tiger reserve in India by the Ministry of Environment and Forests since 2010. The valuable contribution of eco-tourism in the conservation of wildlife in the area has been explained. Man-animal conflict is another field dealt with in this book, which is very vital for the conservation of wild animals. The various habitat components that are necessary for the conservation of wildlife have been highlighted. This book will be useful for managers of wildlife areas and forest areas, students, environmentalists, policy makers and the public in general to understand the importance of wildlife and why it is necessary to conserve nature and wildlife for the very existence of mankind.
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.
Conservation Biology in Sub-Saharan Africa comprehensively explores the challenges and potential solutions to key conservation issues in Sub-Saharan Africa. Easy to read, this lucid and accessible textbook includes fifteen chapters that cover a full range of conservation topics, including threats to biodiversity, environmental laws, and protected areas management, as well as related topics such as sustainability, poverty, and human-wildlife conflict. This rich resource also includes a background discussion of what conservation biology is, a wide range of theoretical approaches to the subject, and concrete examples of conservation practice in specific African contexts. Strategies are outlined to protect biodiversity whilst promoting economic development in the region. Boxes covering specific themes written by scientists who live and work throughout the region are included in each chapter, together with recommended readings and suggested discussion topics. Each chapter also includes an extensive bibliography. Conservation Biology in Sub-Saharan Africa provides the most up-to-date study in the field. It is an essential resource, available on-line without charge, for undergraduate and graduate students, as well as a handy guide for professionals working to stop the rapid loss of biodiversity in Sub-Saharan Africa and elsewhere.
To understand modern principles of sustainable management and the conservation of wildlife species requires intimate knowledge about demography, animal behavior, and ecosystem dynamics. With emphasis on practical application and quantitative skill development, this book weaves together these disparate elements in a single coherent textbook for senior undergraduate and graduate students. It reviews analytical techniques, explaining the mathematical and statistical principles behind them, and shows how these can be used to formulate realistic objectives within an ecological framework. This third edition is comprehensive and up-to-date, and includes: Brand new chapters that disseminate rapidly developing topics in the field: habitat use and selection; habitat fragmentation, movement, and corridors; population viability. analysis, the consequences of climate change; and evolutionary responses to disturbance A thorough updating of all chapters to present important areas of wildlife research and management with recent developments and examples. A new online study aid ? a wide variety of downloadable computer programs in the freeware packages R and Mathcad, available through a companion website. Worked examples enable readers to practice calculations explained in the text and to develop a solid understanding of key statistical procedures and population models commonly used in wildlife ecology and management. The first half of the book provides a solid background in key ecological concepts. The second half uses these concepts to develop a deeper understanding of the principles underlying wildlife management and conservation. Global examples of real-life management situations provide a broad perspective on the international problems of conservation, and detailed case histories demonstrate concepts and quantitative analyses. This third edition is also valuable to professional wildlife managers, park rangers, biological resource managers, and those working in ecotourism.