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Evaluation of line transect sampling for density estimates of chiru Pantholops hodgsoni in the Aru Basin, Tibet
Author(s) -
Bårdsen BårdJ⊘rgen,
Fox Joseph Larkin
Publication year - 2006
Publication title -
wildlife biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.566
H-Index - 52
eISSN - 1903-220X
pISSN - 0909-6396
DOI - 10.2981/0909-6396(2006)12[89:eoltsf]2.0.co;2
Subject(s) - transect , sampling (signal processing) , distance sampling , structural basin , physical geography , environmental science , geography , ecology , endangered species , geology , habitat , biology , geomorphology , filter (signal processing) , computer science , computer vision
The chiru or Tibetan antelope Pantholops hodgsoni has dramatically decreased in number over recent decades, and efficient monitoring of the density and distribution of chiru is vital to the management of this endangered species. We evaluated line transect sampling methodology, using track and cross‐county transects, and assessed its conformity to underlying assumptions for use in estimating density of chiru in the ca 2,300 km 2 Aru Basin, Tibet. Although violations of some assumptions were apparent, they were generally not substantial, and simple adjustments of sampling design can reduce their effects in future surveys. Sampling effort was not sufficient to demonstrate clear seasonal differences in chiru density between summer and autumn. However, cross‐country transects on the west side of the study area did show a statistically significant higher autumn than summer density, and encounter rates (the number of detections per km) were significantly higher for both transect types in autumn. We tested for an expected negative bias associated with track transects, and although a clear difference in estimated density was not found, a significantly higher encounter rate was present for cross‐country than for track transects. With increased sampling effort and a more effective design in future surveys, line transect sampling will be a useful methodology for assessment of chiru populations.

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