Analysis of the North American Breeding Bird Survey Using Hierarchical Models

By John R. Sauer, W. Link. 2011

284 citations recorded by the source corpus.

Subfields: Ecological Modeling, Economics and Econometrics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/3de3d971c91e621dc05889109375427501439176

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Citations in the corpus

Integrated population models facilitate ecological understanding and improved management decisions (2018, methodology): “State-space models have recently been adopted for analyzing waterfowl count data from the eastern survey area (Zimmerman et al. 2012) and have been used in other applications (Sauer and Link 2011).”
Old‐growth forests buffer climate‐sensitive bird populations from warming (2018, methodology): “We used the population trends at the scale of individual BBS routes calculated using hierarchical models (estimating equations; Sauer & Link, 2011).”
Spatially explicit integrated population models (2014, background): “For example, the North American Breeding Bird Survey (Sauer & Link, 2011) yields spatiallyreferenced count data and the Monitoring Avian Productivity and Survival (DeSante & Kaschube, 2009) project yields spatial capture- recapture data.”
The first 50 years of the North American Breeding Bird Survey (2017, methodology): “Maintenance of the simple survey design in the face of these methodolog- ical developments is not due to apathy or a lack of inspiration; the BBS programs in Canada, Mexico, and the United States have encouraged these developments by sponsoring many research programs designed to test new counting me”
A plan for the North American Bat Monitoring Program (NABat) (2015, methodology): “Single surveys of routes can be analyzed using log-linear models in a similar fashion as the North American Breeding Bird Survey (BBS) (Sauer and Link 2011).”
Synthesizing multiple data types for biological conservation using integrated population models (2018, methodology): “…in an IPM framework (i.e., with local-scale capture-recapture data) has the potential to reveal large-scale population trends, shifts in species niches, and/or the varying importance of demographic processes across spatial and temporal scales (Sauer and Link, 2011; Sullivan et al., 2014).”
The North American Breeding Bird Survey 1966–2011: Summary Analysis and Species Accounts (2013, methodology): “For most species, ni,t is similar to the historical weighted mean counts used to scale annual indexes, but for a few species the addition of these variance components leads to annual indexes that are larger than the mean counts (Sauer and Link 2011).”
The eBird enterprise: An integrated approach to development and application of citizen science (2014, methodology): “…work to model bird occurrences, we need to evaluate, adapt, and extend existing approaches for abundance modeling (e.g., Royle and Dorazio, 2008; Sauer and Link, 2011) in order to deal with the issue of non-stationarity of associations through space and time, and to ensure that analyses can be…”