Skip to main content

Code files


Start Date
End Date
Publication Date


Rose, J.P., and Halstead, B.J., 2020, Code and data files to construct an Integral Projection Model for Giant Gartersnakes (Thamnophis gigas) in the Sacramento Valley, California, 1995-2017: U.S. Geological Survey data release,


This data release includes R code to replicate the Integral Projection Model construction and analysis presented in the paper "Demographic drivers of population growth in a threatened snake" by Rose et al. published in Journal of Wildlife Management in 2019.


Point of Contact :
Jonathan P Rose
Originator :
Jonathan P Rose, Brian J Halstead
Metadata Contact :
Jonathan P Rose
USGS Mission Area :
SDC Data Owner :
Western Ecological Research Center
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item. 1.61 KB 1.09 KB
ggs_bayesian_IPM.R 22.38 KB
ggs_demographic_functions.R 1.42 KB
ggs_deterministic_IPM_analysis.R 2.54 KB
ggs_IPM_analysis_run.R 1.84 KB
ggs_IPM_eviction_test.R 6.15 KB
ggs_IPM_ms_figures.R 32.34 KB
ggs_IPM_parameters.R 2.98 KB
ggs_stochastic_IPM_analysis.R 22.18 KB
ggs_vital_rate_function_elasticity.R 4.74 KB
code.json 13.56 KB


These data were collected to better understand the demography of Giant Gartersnakes in the Sacramento Valley. The Integral Projection Model was constructed to identify which life-stage transitions (e.g., survival, fecundity) have the greatest influence of the growth rate of Giant Gartersnake populations.


  • USGS Western Ecological Research Center


Data source
Input directly

Item Actions

View Item as ...

Save Item as ...

View Item...