Jeff Hostetler
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jeffhostecology.bsky.social
Jeff Hostetler
@jeffhostecology.bsky.social
450 followers 270 following 40 posts
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.
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Reposted by Jeff Hostetler
New paper out, led by @villarreal-miguel.bsky.social. There's a disconnect between remote sensing advances and application to ecology (including only 11 UAS papers in Landscape Ecology!). We provide a guide for using drones to answer ecological ?s: link.springer.com/article/10.1... #uas #drones
Reposted by Jeff Hostetler
Reposted by Jeff Hostetler
Reposted by Jeff Hostetler
Long-billed Curlew and 'Akikiki may be an ocean apart, but they have at least one thing in common: They both benefit from funds coming from the United States federal budgeting (AKA, appropriations) process. 🪶
Check out our article here!
📖Published📖

Check out our new research article 👉 Challenges and opportunities for data integration to improve estimation of migratory connectivity 🐦🌎 🧪 Read more here 👇
buff.ly
Reposted by Jeff Hostetler
Are you looking to get a graduate degree in Fisheries, Wildlife, and Conservation Sciences? This funded MS project at OSU is focused on testing a range of non-invasive method for small mammals (enclosed camera trapping + thermal cameras mounted on drones) against SCR applied to live trapping data.
This would be grand! Of course Zotero would have to guess which articles I actually read and which ones I just skimmed the abstract.
I wish zotero made me a little end of year graph showing me my reading history like storygraph does. How many non bird papers did I read?
#goodreads #storygraph
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...
We also developed updated vignettes detailing how to use the MigConnectivity package (smbc-nzp.github.io/MigConnectiv...).
MigConnectivity package
smbc-nzp.github.io
• 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
• 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
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?
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.