INCORPORATING AVAILABILITY FOR DETECTION IN ESTIMATES OF BIRD ABUNDANCE

By D. Diefenbach, Matthew Marshall, Jennifer A. Mattice, Daniel W. Brauning. 2007

116 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology

View Paper: https://www.semanticscholar.org/paper/7e37c50851c6b0d369fd1722aebad4bd102f9f54

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. P. B. Conn
2. Daniel Fink
3. Douglas H. Johnson
4. Steve Kelling
5. James D. Nichols
6. Wesley M. Hochachka
7. Diana Stralberg
8. F. Schmiegelow

In Ecology

1. D. Dawson
2. L. Thomas
3. P. B. Conn
4. James D. Nichols
5. Douglas H. Johnson
6. M. Efford
7. J. Andrew Royle
8. Daniel Fink

Citations in the corpus

• Calibrating indices of avian density from non‐standardized survey data: making the most of a messy situation (2013, methodology): “Our density estimator assumes that p and q result from independent processes that can be estimated separately and then combined to adjust the survey counts for detection bias (Diefenbach et al. 2007; Handel et al. 2009).”
• In Defense of Indices: The Case of Bird Surveys (2008, methodology): “Furthermore, Diefenbach et al. (2007) found that availability of marked populations of grasshopper sparrows (Ammodramus savannarum) and Henslow’s sparrows (Ammodramus henslowii) was low during the period when birds are usually surveyed.”
• Bird population density estimated from acoustic signals (2009, background): “Intermittent vocalization, which leads to incomplete availability of birds for detection, is a general problem for passive field methods of density estimation (Diefenbach et al. 2007; Nichols et al. 2009).”
• Inferences About Landbird Abundance from Count Data: Recent Advances and Future Directions (2009, background): “Diefenbach et al. (2007) concluded that substantial bias and heterogeneity in abundance estimates would be obtained if this source of detection probability were not incorporated in population estimates.”
• Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions (2021, background): “Some facets of observer effort affect whether a species is available for detection— e.g. whether it is a time of day when the species is present in that place and behaves in a way that makes it detectable (Diefenbach et al., 2007; Hochachka et al., 2009).”