Methods for monitoring tiger and prey populations /

Methods for monitoring tiger and prey populations /

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Bibliographic Details
Imprint:Singapore : Springer, 2017.
Description:1 online resource
Language:English
Subject:
Tiger -- Monitoring.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11384598
Hidden Bibliographic Details
Other authors / contributors:Karanth, K. Ullas, editor.
Nichols, James D., editor.
ISBN:9789811054365
9811054363
9789811054358
9811054355
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed November 2, 2017).
Summary:This book addresses issues of monitoring populations of tigers, ungulate prey species and habitat occupancy, with relevance to similar assessments of large mammal species and general biodiversity. It covers issues of rigorous sampling, modeling, estimation and adaptive management of animal populations using cutting-edge tools, such as camera-traps, genetic identification and Geographic Information Systems (GIS), applied under the modern statistical approach of Bayesian and likelihood-based inference. Of special focus here are animal survey data derived for use under spatial capture-recapture, occupancy, distance sampling, mixture-modeling and connectivity analysees. Because tigers are an icons of global conservation, in last five decades, enormous amounts of commitment and resources have been invested by tiger range countries and the conservation community for saving wild tigers. However, status of the big cat remains precarious. Rigorous monitoring of surviving wild tiger populations continues to be essential for both understanding and recovering wild tigers. However, many tiger monitoring programs lack the necessary rigor to generate the reliable results. While the deployment of technologies, analyses, computing power and human-resource investments in tiger monitoring have greatly progressed in the last couple of decades, a full comprehension of their correct deployment has not kept pace in practice. In this volume, Dr. Ullas Karanth and Dr. James Nichols, world leaders in tiger biology and quantitative ecology, respectively, address this key challenge. The have collaborated with an extraordinary array of 30 scientists with expertise in a range of necessary disciplines - biology and ecology of tigers, prey and habitats; advanced statistical theory and practice; computation and programming; practical field-sampling methods that employ technologies as varied as camera traps, genetic analyses and geographic information systems. The book is a 'tour de force' of cutting-edge methodologies for assessing not just tigers but also other predators and their prey. The 14 chapters here are lucidly presented in a coherent sequence to provide tiger-specific answers to fundamental questions in animal population assessment: why monitor, what to monitor and how to monitor. While highlighting robust methods, the authors also clearly point out those that are in use, but unreliable. The managerial dimension of tiger conservation described here, the task of matching monitoring objectives with skills and resources to integrate tiger conservation under an adaptive framework, also renders this volume useful to wildlife scientists as well as conservationists.
Other form:Print version: Methods for monitoring tiger and prey populations. Singapore : Springer, 2017 9811054355 9789811054358
Standard no.:10.1007/978-981-10-5436-5
10.1007/978-981-10-5
Table of Contents:
  • Foreword
  • Preface
  • References
  • Acknowledgments
  • Editorial Acknowledgments
  • Author Acknowledgments
  • Contents
  • Contributors
  • Blurbs
  • About the Editors
  • 1 Role of Monitoring in Global Tiger Conservation
  • 1.1 Introduction
  • 1.1.1 Status of Wild Tigers
  • 1.1.2 Social and Cultural Underpinnings of Tiger Conservation
  • 1.1.3 Scientific Underpinnings of Tiger Conservation
  • 1.1.4 History of Tiger Conservation Efforts
  • 1.2 Why Monitoring Tiger Populations is a Critical Conservation Need
  • 1.2.1 Planning, Targeting, and Managing Conservation Interventions1.2.2 Tracking and Auditing Conservation Successes or Failures
  • 1.2.3 Adaptively Learning and Making Management Predictions
  • 1.3 Demographic Parameters to be Monitored in Tiger and Prey Populations
  • 1.3.1 Measuring Spatial Distribution and Habitat Use Intensity
  • 1.3.2 Measurement of Potential Tiger Numbers and Actual Population Dynamics
  • 1.4 Challenges and Opportunities in Monitoring Tiger and Prey Populations
  • 1.5 Conclusion
  • References
  • 2 Tiger Ecology in Relation to Monitoring Issues
  • 2.1 Introduction2.2 General Biology, Behavior, and Ecology of the Tiger
  • 2.2.1 Morphology and Physiological Adaptations
  • 2.2.2 Taxonomy, Evolution, and Biogeography
  • 2.2.3 Social Organization, Spacing, and Land Tenure
  • 2.2.4 Ecological Determinants of Tiger Population Dynamics
  • 2.2.5 Tiger Population Dynamic Parameters: Abundance, Survival, Recruitment, and Movement
  • 2.3 Challenges to Reliable Monitoring: Tiger Ecology and Environmental Factors
  • 2.3.1 Tiger Ecology in Relation to Monitoring
  • 2.3.2 Environmental Variables that Govern Tiger Monitoring
  • 2.3.3 Issues of Access for Survey Personnel2.4 Basic Steps Toward Establishing Reliable Tiger Monitoring Programs
  • 2.4.1 Adopting a Unified, Sampling-Based Approach to Tiger Monitoring
  • 2.4.2 Importance of Defining and Setting Clear, Practical Monitoring Objectives
  • 2.4.3 Assessing Resources Available for Monitoring
  • 2.4.4 Matching Resources to Objectives
  • 2.5 Conclusion
  • References
  • 3 Animal Population Monitoring: A Unified Conceptual Framework
  • 3.1 Introduction
  • 3.2 Statistical Framework
  • 3.2.1 Basic Issues in Counting Animals
  • 3.2.2 Observability/Detectability3.2.3 Spatial Sampling
  • 3.2.4 Canonical Estimator
  • 3.2.5 Indices
  • 3.3 Discussion
  • References
  • 4 Concepts: Assessing Tiger Habitat Occupancy Dynamics
  • 4.1 Introduction
  • 4.2 Detection-Nondetection Surveys
  • 4.3 Basics of Single-Season Occupancy Modeling
  • 4.3.1 Basic Model
  • 4.3.2 Covariate Relationships
  • 4.3.3 Assumptions
  • 4.3.4 Example
  • 4.4 Dynamic Occupancy Models
  • 4.4.1 Motivation
  • 4.4.2 Survey Design
  • 4.4.3 Basic Model
  • 4.4.4 Assumptions
  • 4.5 Extensions
  • 4.6 Discussion

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