Code and Data Files to Construct an Integral Projection Model for Giant Gartersnakes (Thamnophis gigas) in the Sacramento Valley, California, 1995-2017
June 17, 2020
This dataset includes data on the growth, fecundity, and survival of Giant Gartersnakes (Thamnophis gigas) in the Sacramento Valley of California from 1995-2017. In addition, the dataset 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.
These data support the following publication:
Rose, J.P., Ersan, J.S., Wylie, G.D., Casazza, M.L. and Halstead, B.J., 2019. Demographic factors affecting population growth in giant gartersnakes. The Journal of Wildlife Management, 83(7), pp.1540-1551.
Citation Information
| Publication Year | 2020 |
|---|---|
| Title | Code and Data Files to Construct an Integral Projection Model for Giant Gartersnakes (Thamnophis gigas) in the Sacramento Valley, California, 1995-2017 |
| DOI | 10.5066/P9IBSR18 |
| Authors | Jonathan P Rose, Brian J Halstead |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Western Ecological Research Center - Headquarters |
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Demographic factors affecting population growth in giant gartersnakes
Demographic models provide insight into which vital rates and life stages contribute most to population growth. Integral projection models (IPMs) offer flexibility in matching model structure to a species’ demography. For many rare species, data are lacking for key vital rates, and uncertainty might dissuade researchers from attempting to build a demographic model. We present work that highlights
Authors
Jonathan P. Rose, Julia Ersan, Glenn D. Wylie, Michael L. Casazza, Brian J. Halstead
Related Content
Demographic factors affecting population growth in giant gartersnakes
Demographic models provide insight into which vital rates and life stages contribute most to population growth. Integral projection models (IPMs) offer flexibility in matching model structure to a species’ demography. For many rare species, data are lacking for key vital rates, and uncertainty might dissuade researchers from attempting to build a demographic model. We present work that highlights
Authors
Jonathan P. Rose, Julia Ersan, Glenn D. Wylie, Michael L. Casazza, Brian J. Halstead