They didn't include her website, so here it is: bloom-wild.com
They didn't include her website, so here it is: bloom-wild.com
My sister on the local news, promoting native plants
www.fox5dc.com/video/170780...
This is so depressing. Ceding the future to other countries while we make our air dirtier and our planet hotter. Gift link, if you dare. Really hope this horrible bill fails completely.
wapo.st/44EZL4X
Thanks, Nicole!
Our analysis of BBS data (through 2023) just came out!
doi.org/10.5066/P1F2...
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
2nd chapter of my PhD just published in @methodsinecoevol.bsky.social
doi.org/10.1111/2041...
Another step towards linking animal migration and population dynamics using integrated modelling! The secret lies in a neat equation relating survival and transition probabilities between migratory regions
I'm currently seeking PhD candidates to help me work on exciting ecological forecasting problems using #rstats ecogambler.netlify.app/opportunities/ π
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....
Image featuring two birds: on the left, a Long-billed Curlew standing amidst vegetation, and on the right, an 'Akikiki perched on a tree branch, with a blurred green background.
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. πͺΆ
Check out our article here!
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.
Our article in @methodsinecoevol.bsky.social on migratory connectivity, data integration, bidirectional data, and more just came out! π§΅ (eventually)
besjournals.onlinelibrary.wiley.com/doi/10.1111/...
This would be grand! Of course Zotero would have to guess which articles I actually read and which ones I just skimmed the abstract.
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...
We also developed updated vignettes detailing how to use the MigConnectivity package (smbc-nzp.github.io/MigConnectiv...).
β’ Basic plotting of transition probabilities and other estimates
β’ In addition to bootstrapping, allow users to estimate transition probabilities using MCMC (for some data types)
β’ New data simulation functions
β’ Separating estimation of transition probabilities and MC into different functions (estTransition and estStrength)
β’ 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:
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?
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.
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.
Our article in @methodsinecoevol.bsky.social on migratory connectivity, data integration, bidirectional data, and more just came out! π§΅ (eventually)
besjournals.onlinelibrary.wiley.com/doi/10.1111/...
Bald bearded guy selfie at a concert. I'm the background are the band They Might Be Giants.
Why does They Might Be Giants keep photobombing my selfies?
Maybe more than a little...
Punk, industrial, high-energy hip hop, metal, international dance music... I think for me it's less about getting into the zone and more about staying awake
Excited to share a new opportunity in my new lab at Cambridge!
We are looking for a highly motivated, early-career, postdoctoral scientist to be part of a growing effort in #connectivity conservation.
3-yr position housed in the Cambridge Conservation Initiative!
www.jobs.cam.ac.uk/job/49330/