Open-population SCR model to estimate spatiotemporal variation in individual birth locations, detection rates, and survival
Data files
Mar 22, 2023 version files 536.10 KB
-
compute_lam0_lly.cpp
1.03 KB
-
fawn-mcmc-Dcov4-Lcov3-Scovs4-spotloss.R
45.66 KB
-
fitFawnModel.R
2.58 KB
-
formattedData_2015.RData
241.74 KB
-
formattedData_2016.RData
231.14 KB
-
README_model.rtf
7.47 KB
-
README.md
6.49 KB
Abstract
This is an open population SCR model developed by R. Chandler and K. Engebretsen. The full model incorporates 4 spatial covariates in birth location density submodel, 3 location-specific, temporal covariates in the detection submodel, and 4 spatial covariates in the survival submodel.
Formatted data is provided for the 2015 and 2016 fawning season in south Florida and the model can be fit using the script fitFawnModel.R.
180 passive trail cameras were deployed during 2015 and 2016 in South Florida to collect images of spotted white-tailed deer fawns. Individuals were identified by spot patterns, and capture histories were made for each individual fawn. Water depth values were extracted from hydrologic depth gauges (Everglades Depth Estimation Network). Landcover was derived from Florida Natural Areas Inventory Cooperative Land Cover (FNAI CLC) 3.2 site-level data at 10m resolution and reclassified into four categories. Trail status was binary, indicating if a camera was on-trail or off-trail. Human activity was derived from the number of photos of humans taken by each camera on each day.
These data and covariates were formatted and packaged within the "formattedData_2015.RData" and "formattedData_2016.RData" objects. These objects contain all the data and covariates needed to fit the models using the script "fitFawnModel.R".
Program R is required to open these files and run the model.