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Predicting climate change impacts on poikilotherms

Authors: Tyler Wagner;

Predicting climate change impacts on poikilotherms

Abstract

This software involves files to fit the physiologically-guided abundance (PGA) model ('fish_predictions_pga.R'), a naive model ('fish_predictions_naive.R'), and a PGA model using simulated data ('PGA_sim.R'). Each R file calls as associated .stan file that contains the model code that is executed by stan when running the R code ('fish_prediction.stan', 'fish_prediction_naive.stan', and 'fish_prediction_sim.stan', respecively.). The R scripts are currently setup to fit the model to bluegill data, but this can be changed to either yellow perch or cisco within the R scrip. The data for fitting the models can be found at https://hdl.handle.net/11299/228403.

Country
United States
Keywords

climate change, physiology, cru, poikilotherms

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average