Efficiency Of Adaptive Cluster Sampling for Estimating Density of Wintering Waterfowl
Entry ID: brdlsc0007

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Summary
Abstract: An evaluation of adaptive cluster sampling was based on a simulation
experiment where samples were drawn from an enumeration of three
species of waterfowl wintering in central Florida. The initial
samples were taken either by simple random sampling or with
probability proportional to available habitat. Efficiency of adaptive
cluster sampling relative to simple random sampling was highest when
1) ... View entire text

Purpose: Objective was to evaluate adaptive sampling for three species of
waterfowl. The evaluation was based on a simulation experiment for
which the samples were drawn from an enumeration of ring-necked ducks
(Athys collaris), blue-winged teal (Anas discors), and green-winged
teal (Anas crecca) in 5,000 km2 of central Florida. The population
density of ring-necked ducks was of primary concern because of the
species' importance to waterfowl harvest in Florida.
Geographic Coverage
Spatial coordinates   
  N: 30.0   S: 25.0   E: -80.0   W: -85.0

Data Set Citation
Dataset Originator/Creator: David R. Smith
Dataset Title: Efficiency of adaptive cluster sampling for estimating density of wintering waterfowl
Dataset Release Date: 1995
Dataset Release Place: Athens, GA
Dataset Publisher: U. Georgia, School of Forest Res., Georgia Coop. Fish and Wildife Research Unit
Temporal Coverage
Start Date: 1992-12-13
Stop Date: 1992-12-15
ISO Topic Category
Quality The surveys were flown under clear skies and the ducks occupied open
habitats resulting in good conditions for counting. Nevertheless,
detectability was probably not perfect causing some ducks to be missed
or counted more than once. In aerial surveys of wildlife that result
in imperfect counts, the density estimate is often used as a
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Access Constraints None
Use Constraints None
Data Set Progress
COMPLETE
Originating Center
Data Center
Leetown Science Center, Biological Resources Division, U.S. Geological Survey, U.S. Department of the Interior Supplemental Info
Data Center URL: http://www.lsc.usgs.gov/

Data Center Personnel
Name: DAVID R. SMITH
Phone: 304-724-4467
Fax: 304-724-4415
Email: david_r_smith at usgs.gov
Contact Address:
U.S. Fish and Wildlife Service
1700 Leetown Road
City: Kearneysville
Province or State: WV
Postal Code: 25430
Country: USA
Personnel
Role: TECHNICAL CONTACT
Phone: 304-724-4467
Fax: 304-724-4415
Email: david_r_smith at usgs.gov
Contact Address:
U.S. Fish and Wildlife Service
1700 Leetown Road
City: Kearneysville
Province or State: WV
Postal Code: 25430
Country: USA
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Publications/References
Citation Information:
Originator: David R. Smith, Georgia Cooperative Fish and Wildlife Research
Unit, School of Forest Resources
Publication Date: 199506
Title: Efficiency of adaptive cluster sampling for estimating
density of
wintering waterfowl
Series Information:
Series Name: Biometrics
Issue Identification: 51
Other Citation Details:
pp. 777-788
Extended Metadata Properties
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Creation and Review Dates
Last DIF Revision Date: 2013-10-18
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