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Posts by Caleb Robbins

Thanks for this solution! I'm getting some great use fitting simple non-linear models to small datasets where the compilation >> sampling time.

3 months ago 2 0 0 0
Postdoctoral Researcher, Biology Postdoctoral Researcher: A Postdoctoral Research Associate position is available at the University of South Dakota in Dr. Jeff Wesner’s lab in the Department of Biology. The NSF-funded project will ex...

Pleased to announce that we are looking for a post-doc to join @wesnerlab.bsky.social to study the relationship between body size, temperature and nutrients in stream ecosystems. Position details can be found here: yourfuture.sdbor.edu/postings/45969
Happy to answer any questions!

5 months ago 9 10 0 0

One of those is like "I think it's spelled Iraan but it's somewhere roundaboutsch'ere"

9 months ago 4 0 2 0
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The mass loss time series in our data set were better or equivalently fit to 2-3 parameter models compared to the usual 1 parameter negative exponential model that generates k. There's a lot of time-varying breakdown rates to explore and analyze in nature!

11 months ago 4 0 0 0
Time series showing A) Lagging, B) Constant, and C) Leading decomposition trajectories, with common analytical decomposition model fits to each time series. Panel D) shows the Weibull model fit for every time series in the data set. Negative exponential (constant decay) is equivalent to the Weibull fit when Weibull alpha = 1.

Time series showing A) Lagging, B) Constant, and C) Leading decomposition trajectories, with common analytical decomposition model fits to each time series. Panel D) shows the Weibull model fit for every time series in the data set. Negative exponential (constant decay) is equivalent to the Weibull fit when Weibull alpha = 1.

Litter decomposition in streams is usually studied by calculating a breakdown rate, k, which assumes that the rate is constant through time - ever wondered how generally that assumption holds? Just accepted in L&O Letters: www.researchgate.net/publication/...

11 months ago 9 2 1 1
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What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge Near-term, iterative ecological forecasts can be used to help understand and proactively manage ecosystems. To date, more forecasts have been developed for aquatic ecosystems than other ecosystems wo...

So exciting to see @freyaolsson.bsky.social's forecast synthesis paper officially published today!

"What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge"
doi.org/10.1002/eap....

1 year ago 18 8 0 1

Thanks!

1 year ago 0 0 0 0
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1 year ago 1 0 1 0
Does polymixis complicate prediction of high‐frequency dissolved oxygen in lakes and reservoirs? As lake and reservoir ecosystems transition across major environmental regimes (e.g., mixing regime) resulting from anthropogenic change, setting predictive expectations is imperative. We tested the ...

Howdy. New pub using high frequency dissolved oxygen profiles and machine learning in some southern US reservoirs. with @nicolewagner.bsky.social, Thad Scott, Dennis Trolle, Anders Nielsen, and Jeff Sadler. aslopubs.onlinelibrary.wiley.com/doi/10.1002/...

1 year ago 6 0 1 0