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Investigating Detection and Roadside Bias in Surveys of Grassland Birds in the Northern Great Plains, ND 2015, MT 2017-2018

Dates

Publication Date
Start Date
2015-05-21
End Date
2018-07-14

Citation

Buhl, T.K., and Shaffer, T.L., 2023, Investigating Detection and Roadside Bias in Surveys of Grassland Birds in the Northern Great Plains, ND 2015, MT 2017-2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9JNSTKL.

Summary

A biologist and field crew from Northern Prairie Wildlife Research Center visited sites nine times throughout the breeding season (late May to mid-July) to record counts of grassland birds. Surveyors applied North American Breeding Bird Survey methodology to obtain counts at On-, Near-, and Off-road Stops, but unlike the North American Breeding Bird Survey, which features a single survey at each site, three replicate surveys were conducted on back-to-back-to-back days during each survey period to facilitate estimation of detection and occupancy probabilities. Assignment of surveyors to individual sites followed a design protocol that allows observer effects to also be estimated. The biologist visited each site once during the breeding [...]

Contacts

Point of Contact :
Thomas K Buhl
Originator :
Thomas K Buhl, Terry L Shaffer
Metadata Contact :
Thomas K Buhl
Publisher :
U.S. Geological Survey
SDC Data Owner :
Northern Prairie Wildlife Research Center
USGS Mission Area :
Ecosystems
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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Investigating Detection and Roadside Bias in Surveys of Grassland Birds in the Northern Great Plains, ND 2015, MT 2017-2018.csv 2.22 MB text/csv

Purpose

The primary objective was to assess how occurrence and detection of grassland birds are influenced by roadside sampling methods, seasonal timing of surveys, and fine-grained habitat features such as fences, utility lines, and other man-made perches that are often associated with roads. This study will enable better interpretation of North American Breeding Bird Survey results, leading to improved population monitoring and more robust estimates of population size. The study also will strengthen inferences made from spatial models used to guide grassland bird conservation, as well as increase confidence in population data used in listing decisions.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9JNSTKL

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