And finally, here's a picture from fieldwork on the South Fork of the Yuba River, where this study took place 🙂

Overall, we sought to evaluate the degree to which landscape genetics recapitulates phylogenetics, the spatial scales at which each is best applied, and the relative benefit of each method in the context of understanding spatial population structure.

At a finer scale, we find 8/14 (57%) river canyons include samples from a single clade, while the remaining 6/14 (43%) river canyons include samples from two clades, and no river canyons included samples from three or more clades.

In terms of phylogeographic structure, major clades are defined as the six primary monophyletic groups in the phylogeny.

We find some degree of specificity with three of the clades each containing samples from individual drainages, while two of the clades span several drainages.

We find a lot of concordance in landscape genetics inferences at all but the largest spatial scale tested, where river canyons are important features maintaining genetic cohesion across the landscape.

We explicitly varied spatial scale to test the effect of different scales of analysis on landscape genetic inferences.

We also compare landscape genetics results informed by population genetic data with phylogeographical results informed by phylogenetic data.

This study was inspired by ideas put forward by
@ljrissler
in a fantastic 2016 paper on the union of phylogeography and landscape genetics https://www.pnas.org/doi/10.1073/pnas.1601073113

Happy to share that our latest paper is out today in this month's issue of Molecular Ecology! 🦎🏔️🧬

"Biogeographic inferences across spatial and evolutionary scales"

https://onlinelibrary.wiley.com/doi/epdf/10.1111/mec.16861

Planning for #Evol2023? Come a day early for pre-conference events & workshops - take a behind-the-scenes tour of UNM’s Museum of Southwestern Biology or participate in workshops on career development, grant writing, or phenomes! Info and registration at http://evolutionmeetings.org

And we find a similar effect as the population-based approach, and the strength of "isolation by climate" we see across this range is equivalent to ~100 km of linear distance.

We also took a look at this problem in an individual- rather than population-based approach to see how strong this effect is compared to isolation by distance across ~800 km of range.

And we find a strong association between climate overlap values and Fst values across these sites.

We find that within temperate zones, even adjacent mountain ranges can differ greatly in climate overlap values between high-and low-elevation sites.

We took a look at whether Janzen's 1967 hypothesis plays a role within temperate zones, rather than across temperate-tropical comparisons.

Happy to share that our latest paper is out today in this month's issue of
@ASNAmNat 🦎🗻🧬

"Temperate Zone Isolation by Climate: An Extension of Janzen’s 1967 Hypothesis"

https://www.journals.uchicago.edu/doi/10.1086/722558

Today's #CornFax will also be it's own 🧵on a new preprint from yours truly and colleagues!

🌽 Where does maize come from? 🌽

(if threads ain't your thing, the preprint is https://www.biorxiv.org/content/10.1101/2023.01.31.526540v1)

Maize doesn't look like other grasses, and this led to more than 100 years of confusion about its origins. Even accomplished 20th century botanists like Edgar Anderson were still unsure of what continent maize came from!

1/8

Here's a link I was given to share access https://onlinelibrary.wiley.com/share/author/AWYHPBVUHKQVTAUGYSHE?target=10.1111/mec.16861

New paper out today in #MolecularEcology early view!

"Biogeographic inferences across spatial and evolutionary scales"

https://onlinelibrary.wiley.com/doi/abs/10.1111/mec.16861

@inundata @ivory hmm better than Metatext?

Now that I’ve been using @ivory for a day, Mastodon all of a sudden feels so much more enjoyable. By far the best Mastodon iOS app.