Concepts: Integrating population survey data from different spatial scales, sampling methods, and species
Edited by: K. Ullas Karanth and James D. Nichols
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
Abstract
Conservationists and managers are continually under pressure from the public, the media, and political policy makers to provide “tiger numbers,” not just for protected reserves, but also for large spatial scales, including landscapes, regions, states, nations, and even globally. Estimating the abundance of tigers within relatively small areas (e.g., protected reserves) is becoming increasingly tractable (see Chaps. 9 and 10), but doing so for larger spatial scales still presents a formidable challenge. Those who seek “tiger numbers” are often not satisfied by estimates of tiger occupancy alone, regardless of the reliability of the estimates (see Chaps. 4 and 5). As a result, wherever tiger conservation efforts are underway, either substantially or nominally, scientists and managers are frequently asked to provide putative large-scale tiger numbers based either on a total count or on an extrapolation of some sort (see Chaps. 1 and 2).
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | Concepts: Integrating population survey data from different spatial scales, sampling methods, and species |
| DOI | 10.1007/978-981-10-5436-5_12 |
| Year Published | 2017 |
| Language | English |
| Publisher | Springer |
| Contributing office(s) | Wetland and Aquatic Research Center |
| Description | 8 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Monograph |
| Larger Work Title | Methods for monitoring tiger and prey populations |
| First page | 247 |
| Last page | 254 |
| Google Analytic Metrics | Metrics page |