Darío San Segundo Molina
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dario-ssm.bsky.social
Darío San Segundo Molina
@dario-ssm.bsky.social
PhD Candidate at Universidad de Alcalá.
Focused on thermal ecology of major crop pests.
December 3, 2025 at 10:30 PM
Same fort me Paco, It's also been a pleasure for me :) Thanks a lot for your effort!
November 20, 2025 at 7:32 PM
gracias :))
November 20, 2025 at 6:29 PM
Gracias Julen :)
November 20, 2025 at 5:51 PM
If you have any question or if you want to contribute and/or report possible bugs, please open an issue in the repo (github.com/EcologyR/map...). Thanks! :)
github.com/EcologyR/map...
github.com
November 20, 2025 at 4:34 PM
This workshop has been one of the best moments in these PhD years, as it was celebrated in an inspiring place near Grazalema, in Southern Spain
November 20, 2025 at 4:34 PM
mappestRisk has been possible thanks to the Workshop on R packages for ecology (ecologyr.github.io/workshop/), a great initiative by
@frodsan.bsky.social
). The R packages BlueCarbon (github.com/EcologyR/Blu...) and labeler (github.com/EcologyR/lab...) are also results of this workshop.
November 20, 2025 at 4:34 PM
We also thanks authors of recent open-source software products, and particularly to
@padpadpadpad.bsky.social and @franwin.co.uk for the development of `rTPC` R package.
github.com/padpadpadpad...
padpadpadpad/rTPC
R package to help fit Thermal Performance Curves. Contribute to padpadpadpad/rTPC development by creating an account on GitHub.
github.com
November 20, 2025 at 4:34 PM
You can install the package directly from CRAN by running in R `install.packages("mappestRisk")` or from its GitHub development version using `remotes::install_github("EcologyR/mappestRisk")`
cran.r-project.org/web/packages...
mappestRisk: Create Maps Forecasting Risk of Pest Occurrence
There are three different modules: (1) model fitting and selection using a set of the most commonly used equations describing developmental responses to temperature helped by already existing R packag...
cran.r-project.org
November 20, 2025 at 4:34 PM
4. The function map_risk() automatically downloads climatic data from WorldClim (worldclim.org/data/worldcl...) for the user-defined target region and calculate how many months per year would have optimal temperatures for pest development. The output is a raster map with the potential pest risk.
November 20, 2025 at 4:34 PM
4. Calculate the range of temperatures that result optimal for pest development with therm_suit_bounds().
November 20, 2025 at 4:34 PM
3. Simulate multiple curves with bootstrap to propagate uncertainty in the parameters of the fitted TPCs and draw ribbons with predict_curves() and plot_uncertainties()
November 20, 2025 at 4:34 PM
2. Visualize and compare fitted curves easily with plot_devmodels().
November 20, 2025 at 4:34 PM
We suggest following this workflow:

1. Fit thermal performance curves (TPCs) with multiple nonlinear models using fit_devmodels() (For now, 16 TPC model equations; we'll include soon new equations available in the development version of `rTPC` package
November 20, 2025 at 4:34 PM
We hope that this package contributes to facilitate ecological forecasts on pest risk for the scientific community and R users.

If you have any question or if you want to contribute and/or report possible bugs, please open an issue in the repo (github.com/EcologyR/map...).

Thanks! :)
EcologyR/mappestRisk
Contribute to EcologyR/mappestRisk development by creating an account on GitHub.
github.com
November 20, 2025 at 1:50 PM
which was celebrated in an inspiring place near Grazalema, in Southern Spain.
November 20, 2025 at 1:50 PM
…and would not have been possible without the R packages for ecology workshop (ecologyr.github.io/workshop/), a great initiative by @frodsan.bsky.social).
The R packages BlueCarbon (github.com/EcologyR/Blu...) and labeler (github.com/EcologyR/lab...) are also results of this workshop.
November 20, 2025 at 1:50 PM
We also thanks authors of recent open-source software products, and particularly to @padpadpadpad.bsky.social and all the contributors to `rTPC` and `nls.multstart` R packages.
November 20, 2025 at 1:50 PM
This package has been developed by the collaboration of @frodsan.bsky.social an.bsky.social, @ambarbosa.bsky.social osa.bsky.social, u.bsky.social and myself (@dario-ssm.bsky.social).
November 20, 2025 at 1:50 PM