Jeff Hostetler
@jeffhostecology.bsky.social
Quantitative population and migration ecologist at U.S. Geological Survey Eastern Ecological Science Center in Laurel, MD. Among other things, I analyze Breeding Bird Survey data.
They didn't include her website, so here it is: bloom-wild.com
Bloom Wild | Native Plant Consulting & Garden Design – Transform your garden with native plants! Bloom Wild offers garden consultation, design, installation, care & coaching to create eco-friendly lan...
bloom-wild.com
September 15, 2025 at 5:26 PM
They didn't include her website, so here it is: bloom-wild.com
Thanks, Nicole!
February 26, 2025 at 11:54 PM
Thanks, Nicole!
Reposted by Jeff Hostetler
Post-migratory movements in the nonbreeding season are in fact displayed by a surprising number of birds around the world, with diverse resource- or weather-based cues. Two former students in the lab wrote a paper documenting examples of this: onlinelibrary.wiley.com/doi/full/10....
Post‐migratory nonbreeding movements of birds: A review and case study
While many migratory birds are conceptualized as using a single wintering site, technological advances that enable detailed tracking of individual birds are uncovering more examples of post-migratory....
onlinelibrary.wiley.com
January 25, 2025 at 9:03 PM
Post-migratory movements in the nonbreeding season are in fact displayed by a surprising number of birds around the world, with diverse resource- or weather-based cues. Two former students in the lab wrote a paper documenting examples of this: onlinelibrary.wiley.com/doi/full/10....
Thanks to all my coauthors (including @clarkrushing.bsky.social and several others not yet on Bluesky) on this large, collaborative undertaking! And thanks to anyone who's been waiting on me to complete this thread for your patience...
January 13, 2025 at 6:16 PM
Thanks to all my coauthors (including @clarkrushing.bsky.social and several others not yet on Bluesky) on this large, collaborative undertaking! And thanks to anyone who's been waiting on me to complete this thread for your patience...
Anyway, check out our open access paper for all this plus three real world examples (Painted Buntings, Yellow Warblers, and Bald Eagles) and more! doi.org/10.1111/2041...
Challenges and opportunities for data integration to improve estimation of migratory connectivity
Understanding migratory connectivity, or the linkage of populations between seasons, is critical for effective conservation and management of migratory wildlife. A growing number of tools are avai...
doi.org
January 13, 2025 at 6:16 PM
Anyway, check out our open access paper for all this plus three real world examples (Painted Buntings, Yellow Warblers, and Bald Eagles) and more! doi.org/10.1111/2041...
We also developed updated vignettes detailing how to use the MigConnectivity package (smbc-nzp.github.io/MigConnectiv...).
MigConnectivity package
smbc-nzp.github.io
January 13, 2025 at 6:16 PM
We also developed updated vignettes detailing how to use the MigConnectivity package (smbc-nzp.github.io/MigConnectiv...).
• Basic plotting of transition probabilities and other estimates
• In addition to bootstrapping, allow users to estimate transition probabilities using MCMC (for some data types)
• New data simulation functions
• In addition to bootstrapping, allow users to estimate transition probabilities using MCMC (for some data types)
• New data simulation functions
January 13, 2025 at 6:16 PM
• Basic plotting of transition probabilities and other estimates
• In addition to bootstrapping, allow users to estimate transition probabilities using MCMC (for some data types)
• New data simulation functions
• In addition to bootstrapping, allow users to estimate transition probabilities using MCMC (for some data types)
• New data simulation functions
• Separating estimation of transition probabilities and MC into different functions (estTransition and estStrength)
• Allowing integration of any combination of GPS, geolocator, isotope, genetic, and mark-recapture data in estimating transition probabilities
• Allowing integration of any combination of GPS, geolocator, isotope, genetic, and mark-recapture data in estimating transition probabilities
January 13, 2025 at 6:16 PM
• Separating estimation of transition probabilities and MC into different functions (estTransition and estStrength)
• Allowing integration of any combination of GPS, geolocator, isotope, genetic, and mark-recapture data in estimating transition probabilities
• Allowing integration of any combination of GPS, geolocator, isotope, genetic, and mark-recapture data in estimating transition probabilities
We provide functionality to apply this method in version 0.4 of our package, MigConnectivity (cran.r-project.org/web/packages...). Other new features include:
MigConnectivity: Estimate Migratory Connectivity for Migratory Animals
Allows the user to estimate transition probabilities for migratory animals between any two phases of the annual cycle, using a variety of different data types. Also quantifies the strength of migrator...
cran.r-project.org
January 13, 2025 at 6:16 PM
We provide functionality to apply this method in version 0.4 of our package, MigConnectivity (cran.r-project.org/web/packages...). Other new features include:
It turns out it's possible to estimate unbiased breeding to nonbreeding transition probabilities with a weighted bootstrap, as long as one has migration data from all nonbreeding regions and estimates of the relative abundances of those regions.
January 13, 2025 at 6:16 PM
It turns out it's possible to estimate unbiased breeding to nonbreeding transition probabilities with a weighted bootstrap, as long as one has migration data from all nonbreeding regions and estimates of the relative abundances of those regions.
Through simulation, we show that this approach often generates biased transition probability estimates with bidirectional migration data. How then to integrate these increasingly common data types?
January 13, 2025 at 6:16 PM
Through simulation, we show that this approach often generates biased transition probability estimates with bidirectional migration data. How then to integrate these increasingly common data types?
Earlier we had developed methods for estimating transition probabilities and MC (a measure of migratory connectivity strength) using statistical bootstrapping (doi.org/10.1111/2041...), but only from unidirectional migration data.
Quantifying the strength of migratory connectivity
Technological advancements have spurred rapid growth in the study of migratory connectivity, the linkage of individuals and populations between seasons of the annual cycle. The strength of migrat...
doi.org
January 13, 2025 at 6:16 PM
Earlier we had developed methods for estimating transition probabilities and MC (a measure of migratory connectivity strength) using statistical bootstrapping (doi.org/10.1111/2041...), but only from unidirectional migration data.
In this paper, we show how one can integrate bidirectional migration data (e.g., animals whose breeding location is known and nonbreeding location is estimated with animals whose nonbreeding location is known and breeding location is estimated) to estimate migratory transition probabilities.
January 13, 2025 at 6:16 PM
In this paper, we show how one can integrate bidirectional migration data (e.g., animals whose breeding location is known and nonbreeding location is estimated with animals whose nonbreeding location is known and breeding location is estimated) to estimate migratory transition probabilities.
Migratory connectivity, the linkages of migratory populations between seasons, is a rapidly growing field. As more migration data from multiple sources become available, flexible methods to estimate migratory transition probabilities using data integration are key.
January 13, 2025 at 6:16 PM
Migratory connectivity, the linkages of migratory populations between seasons, is a rapidly growing field. As more migration data from multiple sources become available, flexible methods to estimate migratory transition probabilities using data integration are key.