Filters: partyWithName: Elaine Gallenberg (X)
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In 2019 a pilot study was conducted to determine the feasibility of using distance sampling to estimate density and population size of goose and eider nests on the Yukon-Kuskokwim Delta (YKD). Distance sampling (Buckland et al. 2001) is a common and well-understood method to estimate wildlife population size or density, especially for sparse and hard-to-detect populations. A main advantage of distance sampling is that it accounts for imperfect detection and gives precise estimates for a given level of effort relative to other methods. The objectives for the pilot project in 2019 was to (1) determine if distance sampling is feasible on the YKD, (2) determine what aspects of the field protocol need to be changed or...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
The document reviews the theory of distance sampling, important assumptions, and case studies where distance sampling has been used. Reported in this document are results from some power analysis to guide design of a pilot study. This report became part of a Master’s thesis project and was used for development of a field protocol.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: DATA ANALYSIS AND VISUALIZATION,
DATA ANALYSIS AND VISUALIZATION,
Document,
EARTH SCIENCE SERVICES,
EARTH SCIENCE SERVICES,
This document is a report on a project for a Masters student thesis to understand distance sampling to estimate eider and goose nest density. The abstract from the report is:The U.S. Fish and Wildlife Service currently conducts annual surveys to estimate bird nest abundanceon the Yukon-Kuskokwim Delta, Alaska. The current method involves intensive searching on large plots withthe goal of finding every nest on the plot. Distance sampling is a well-established transect-based methodto estimate density or abundance that accounts for imperfect detection of objects. It relies on estimatingthe probability of detecting an object given its distance from the transect line, or the detection function.Simulations were done using...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOLOGICAL CLASSIFICATION,
BIOSPHERE,
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