Morgan Sparks

hatchR: A toolset to predict when fish hatch and emerge ABSTRACT. Understanding the timing of key life history events is essential for effective fish conservation and management. Traditionally, predicting hatch

Excited to share a new pub by @bmmaitland.bsky.social, myself, Eli Felts, Allison Swartz, and Paul Frater

hatchR is a software ecosystem (R package and Shiny app) that allows users to predict developmental phenology for wild fishes using wild thermal regimes.

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Please reach out with questions, comments, or bugs.

Feel free to test drive the applications here:
elifelts.shinyapps.io/hatchR_demo/

We continue to build out additional applications. We just added a function to back calculate for spawn timing if embryos are observed hatching or emerging, as well as building out application to non-fish species. We currently have an example in the works with tailed frogs!

This software could be used in variety of applications ranging from planning field work or activities that might impact developing embryos (e.g. culvert replacement) to broad ecological studies.

hatchR allows users to easily create species- or population specific parameterizations to account for species not included in the base software or account for locally adapted populations.

hatchR works by using effective value models which allows users to account for variable development rates as daily temperatures vary. This circumvents traditional ATU models which are less accurate and precise than hatchR.

Predict Fish Hatch and Emergence Timing Predict hatch and emergence timing for a wide range of wild fishes using the effective value framework (Sparks et al., (2019) <DOI:10.1139/cjfas-2017-0468>). hatchR offers users access to established ...

If you're interested, definitely read the manuscript but also visit the project website where we've provided substantial articles and case studies of how to operate the software from scratch.

bmait101.github.io/hatchR/

hatchR: A toolset to predict when fish hatch and emerge ABSTRACT. Understanding the timing of key life history events is essential for effective fish conservation and management. Traditionally, predicting hatch

Excited to share a new pub by @bmmaitland.bsky.social, myself, Eli Felts, Allison Swartz, and Paul Frater

hatchR is a software ecosystem (R package and Shiny app) that allows users to predict developmental phenology for wild fishes using wild thermal regimes.

academic.oup.com/fisheries/ad...

Let’s be honest, that’s really a Harry Potter name

starwars.fandom.com/wiki/Salacio...

Looking for them!

Still got it

This project is a collaborative effort among, @morgan-sparks.bsky.social, Eli Feltz, Allison Swartz, and Paul Frater.

A manuscript is forthcoming, and we appreciate any use and feedback folks have!

hatchR offers users access to established phenological models and the flexibility to incorporate custom parameterizations using external datasets. The package includes functions for model selection, phenology prediction, and visualization. Users include researchers, managers, and educators.

hatchR logo showing an incubating fish egg in gravel and a recently emerged fry.

🚨New R package🚨 = hatchR

We are pleased to announce the release of hatchR on CRAN!

hatchR is an R package for predicting hatch and emergence timing for a wide range of wild fishes.

Website: bmait101.github.io/hatchR/
Release notes: github.com/bmait101/hat...

#rstats #fishsci #phenology #fish