Spatial dynamics and ecology of large ungulate populations in tropical forests of India / N. Samba Kumar, K. Ullas Karanth, James D. Nichols, Srinivas Vaidyanathan, Beth Gardner, Jagdish Krishnaswamy.
2021
QH183
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Title
Spatial dynamics and ecology of large ungulate populations in tropical forests of India / N. Samba Kumar, K. Ullas Karanth, James D. Nichols, Srinivas Vaidyanathan, Beth Gardner, Jagdish Krishnaswamy.
Author
ISBN
9789811569340 (electronic book)
9811569347 (electronic book)
9811569339
9789811569333
9811569347 (electronic book)
9811569339
9789811569333
Published
Singapore : Springer, [2021]
Language
English
Description
1 online resource (xxvii, 195 pages) : illustrations (some color)
Item Number
10.1007/978-981-15-6934-0 doi
Call Number
QH183
Dewey Decimal Classification
577.30954
Summary
Large ungulates in tropical forests are among the most threatened taxa of mammals. Excessive hunting, degradation of and encroachments on their natural habitats by humans have contributed to drastic reductions in wild ungulate populations in recent decades. As such, reliable assessments of ungulate-habitat relationships and the spatial dynamics of their populations are urgently needed to provide a scientific basis for conservation efforts. However, such rigorous assessments are methodologically complex and logistically difficult, and consequently many commonly used ungulate population survey methods do not address key problems. As a result of such deficiencies, key parameters related to population distribution, abundance, habitat ecology and management of tropical forest ungulates remain poorly understood. This book addresses this critical knowledge gap by examining how population abundance patterns in five threatened species of large ungulates vary across space in the tropical forests of the Nagarahole-Bandipur reserves in southwestern India. It also explains the development and application of an innovative methodology - spatially explicit line transect sampling - based on an advanced hierarchical modelling under the Bayesian inferential framework, which overcomes common methodological deficiencies in current ungulate surveys. The methods and results presented provide valuable reference material for researchers and professionals involved in studying and managing wild ungulate populations around the globe.
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Includes bibliographical references.
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Online resource; title from PDF title page (SpringerLink, viewed January 26, 2021).
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Print version: 9789811569333
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Table of Contents
Chapter 1. The conservation issue
Chapter 2. Development of hierarchical spatial models for assessing ungulate abundance and habitat relationships
Chapter 3. Model-based assessment of ungulate-habitat relationships
Chapter 4. Assessing threats to ungulates and management responses
Chapter 5. Conservation of tropical forest ungulates: the way forward.
Chapter 2. Development of hierarchical spatial models for assessing ungulate abundance and habitat relationships
Chapter 3. Model-based assessment of ungulate-habitat relationships
Chapter 4. Assessing threats to ungulates and management responses
Chapter 5. Conservation of tropical forest ungulates: the way forward.