Distance Sampling: Recent Advances and Future Directions View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002

AUTHORS

S. T. Buckland , L. Thomas , F. F. C. Marques , S. Strindberg , S. L. Hedley , J. H. Pollard , D. L. Borchers , M. L. Burt

ABSTRACT

We briefly describe distance sampling, then review recent advances that enhance its usefulness for wildlife and conservation management: Covariate models for the detection function.Double-platform methods for when detection on the line or at the point is uncertain.Spatial distance sampling models.Indirect distance sampling surveys.Automated design algorithms.Adaptive distance sampling designs. Covariate models for the detection function. Double-platform methods for when detection on the line or at the point is uncertain. Spatial distance sampling models. Indirect distance sampling surveys. Automated design algorithms. Adaptive distance sampling designs. The standard software for distance sampling analyses is described, and plans for future versions are outlined. In many distance sampling surveys, the main goal is to estimate trends in abundance over time. We anticipate that wildlife managers will in future wish to embed population dynamics models in these trend estimates, and we outline a state-space framework that allows this. More... »

PAGES

79-97

Book

TITLE

Quantitative Methods for Current Environmental Issues

ISBN

978-1-4471-1171-9
978-1-4471-0657-9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4471-0657-9_4

DOI

http://dx.doi.org/10.1007/978-1-4471-0657-9_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006207227


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