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Predicting climate change impacts on poikilotherms
doi: 10.5066/p9yygi5r
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.
- DataONE, Santa Barbara, CA, USA United States
- AUS (United States) United States
- United States Marine Corps United States
- United States Department of the Interior United States
- United States Department of the Interior United States
climate change, physiology, cru, poikilotherms
climate change, physiology, cru, poikilotherms
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).0 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
