Tyson Wepprich's repositories
butterfly_trends
Analysis of population trends of butterflies monitored in Ohio since 1995.
Chap1-Bfly-Landuse-Climate
Species' responses to climate variability
counting-butterflies
Correct citizen science counts for abundance estimates
ddrp-cohorts-v1
The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-line interface that has already been adapted for online use. The platform can use a variety of gridded weather and climate data types for any historical (post-hoc), real-time, or future (downscaled GCM) time period. Model products include gridded (raster) and graphical outputs of number of completed generations, phenological/pest events, and climate suitability (i.e., establishment risk maps).
ddrp_v2
A final production version of the DDRP platform that includes cohorts, parallel processing, and improving mapping routines. The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-line interface that has already been adapted for online use. The platform can use a variety of gridded weather and climate data types for any historical (post-hoc), real-time, or future (downscaled GCM) time period. Model products include gridded (raster) and graphical outputs of number of completed generations, phenological/pest events, and climate suitability (i.e., establishment risk maps).
dynamic_shift_detector
A new tool for detecting changes in dynamic rules in population time series data
Grevstad_etal_2021
Code and data to reproduce manuscript analysis and figures
multivoltine
Testing the lost generation hypothesis
phenology-butterflies
Species' physiological traits and springtime emergence
RMark
R package for interface to MARK for mark-recapture data analysis
tysonwepprich.github.io
Build a Jekyll blog in minutes, without touching the command line.
Wepprich_etal_2024_voltinism
Code and data accompanying Wepprich et al. 2024 manuscript