iiinova — where your digital self keeps evolving

Kari Norman @karinorman.bsky.social · 17/06/2026

Wow, stunning figures as always Michael!

Kari Norman @karinorman.bsky.social · 19/02/2026

We're hoping these results can help identify geographic regions of highest priority for targeted forest management and raise alarm bells for these previously unidentified species that may be exposed to greatest risk.

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Kari Norman @karinorman.bsky.social · 19/02/2026

We also identified species predicted to have greatest exposure to high severity fire (in the western US) across their global range, including some fire-loving species (White-headed Woodpecker, Mountain Quail) and fire-prone species (Flammulated Owl, Brown-capped Rosy-finch).

Histogram showing species with highest predicted exposure to high severity fire, with the flammulated owl being the most exposed species.

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Kari Norman @karinorman.bsky.social · 19/02/2026

We found ~30% of hotspots are expected to burn at high severity, and of those hotspots the majority were historically exposed to predominantly low severity regimes, indicating a significant mismatch between what the resident biodiversity is adapted to and what it may be exposed to in the future.

Bar plots showing how avian hotspots are distributed across predicted low and high severity fire.

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Kari Norman @karinorman.bsky.social · 19/02/2026

Using eBird data products and forecasted fire severity we identified hotspots of bird species richness, functional richness, and community uniqueness and classified them into "areas of concern" or "refugia" based on whether they're predicted to burn at high or low severity.

A series of maps of the western US showing where different aspects of avian diversity intersect with fire severity types.

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Reposted by Kari Norman

Timothée Poisot @ctrlalttim.com · 14/01/2026

This is a real tour de force by Maria Isabel. This paper is, put together, a whole century of CPU time done with the help of Calcul Québec. We will also be moving some of the outputs to BON-in-a-Box, @geobon.org cloud-based tool to facilitate the reporting of biodiversity indicators.

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Carl Boettiger @cboettig.bsky.social · 08/01/2026

We're hiring a full-time research software engineer for biodiversity & bioacoustics! Position offers a strong research component with independence + research pub opportunities and real-world impact. expected salary range $111K - $116K. dse.berkeley.edu/news/were-hi...

dse.berkeley.edu

We’re Hiring! Help Build the Future of Biodiversity Research | The Eric and Wendy Schmidt Center for Data Science & Environment at Berkeley

We’re excited to announce a new, full-time position opening for a Research Software Engineer / Data Scientist, who will focus on biodiversity and bioacoustics research.

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Kari Norman @karinorman.bsky.social · 19/12/2025

Thought our experience earlier this year receiving 8 reviews, some of which were for the wrong paper, was a bizarre one-off. Apparently not!

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Kari Norman @karinorman.bsky.social · 18/12/2025

Yes, a great time was had by all 👍👍👍

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Reposted by Kari Norman

gavin jones @ecologyofgavin.bsky.social · 05/12/2025

I’m recruiting a PhD and MSC student for fall 2026 working on the movement ecology and conservation of Mexican spotted owls in SW forests and rocky canyonlands. Exciting partnership with Los Alamos National Laboratory. Great vibrant lab group, high impact research! 🦉 gavinmjones.com/opportunities/

gavinmjones.com

Opportunities

***PhD and MSc openings – Movement ecology and conservation*** I will periodically support graduate students, postdocs, and other staff through the Biology Department at the University of New…

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Kari Norman @karinorman.bsky.social · 28/11/2025

With all the conversation surrounding the environmental impact of AI, we decided to give our two cents on what it all means for ecologists! esajournals.onlinelibrary.wiley.com/doi/10.1002/...

esajournals.onlinelibrary.wiley.com

The role of AI in ecology’s computational carbon footprint

Click on the article title to read more.

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Reposted by Kari Norman

Keila Stark (she/her) @keila-stark.bsky.social · 04/11/2025

Most major theories in ecology assume some sort of equilibrium, but only ~half of empirical tests acknowledge it & even fewer observed it in their system. Does this matter? How did the idea become so pervasive in ecology anyway? Find out in our new paper! onlinelibrary.wiley.com/doi/10.1111/...

onlinelibrary.wiley.com

The Equilibrium Conundrum

Although an assumption of equilibrium dynamics underlies most ecological theory, the evidence for this dynamic in nature and in empirical studies is scarce. This creates an unfortunate disconnect bet...

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Kari Norman @karinorman.bsky.social · 24/03/2025

Really excited to have been a part of this one! Hopefully sparks some conversation about what exactly we want our protected areas to *do*.

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Kari Norman @karinorman.bsky.social · 12/02/2025

Some postdoc work up now up as a preprint! ecoevorxiv.org/repository/v... Choosing sites for monitoring biodiversity is critical for robust inference - so which algorithm should you use to pick sites? We found similar performance for algos and outline the features that might influence your decision.

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Reposted by Kari Norman

Katherine Siegel @katherinesiegel.bsky.social · 21/01/2025

New paper from me + @lauradee.bsky.social on using causal inference methods and concepts in ecology! onlinelibrary.wiley.com/doi/10.1111/... (1/5)

Two directed acyclic graphs showing causal relationships. The first shows a simple relationship between the presence of rare plant species (x), illustrated with icons of individual plants, and grassland productivity (y), illustrated with icons of grasses. There is an arrow going from x to y. The second shows the same relationship, but this time with omitted variables (u). The omitted variables include observed omitted variables (like precipitation) and unobserved omitted variables (like legacies of agricultural activity). These are illustrated with an icon of a rain cloud, a fence, and a shovel. There are dashed arrows going from the omitted variables to both x and y.

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Kari Norman @karinorman.bsky.social · 07/01/2025

tl;dr: big changes can happen in the functional space even when species-based metrics look otherwise stable through time, and on the flip side, losses/gains of species or changes in species identity can have little to no impact on the functional space Please dm me for a pdf if you're paywalled!

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Kari Norman @karinorman.bsky.social · 07/01/2025

We also found that individual studies fell into four general groups: no change in species or functional metrics, functional diversity change independent of species change, loss of functional redundancy, and increasing species richness.

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Kari Norman @karinorman.bsky.social · 07/01/2025

We found no trend across communities in functional richness, evenness, or divergence - in line with other species-based work. This also held true for almost all models of the means of individual trait axes.

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Kari Norman @karinorman.bsky.social · 07/01/2025

My inaugural post is for my paper recently out in GEB! A contribution to the conversation around local biodiversity change, we reconstructed thousands of functional diversity time series to assess shifts in functional structure for bird & mammal communities. onlinelibrary.wiley.com/doi/10.1111/...

onlinelibrary.wiley.com

No General Trend in Functional Diversity in Bird and Mammal Communities Despite Compositional Change

Aim Despite unprecedented environmental change due to anthropogenic pressure, recent work has found increasing dissimilarity due to turnover but no overall trend in species diversity through time at...

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