R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections"
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2017-01-01
2017-08-31
2017-08-31
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2019-09-20
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Title
R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections"
Published Date
2019-09-23
Author Contact
Severud, William J
seve0135@umn.edu
seve0135@umn.edu
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Simulation Data
Statistical Computing Software Code
Observational Data
Simulation Data
Statistical Computing Software Code
Abstract
This collection of files provides data and R code supporting the publication "Comparing survey and multiple recruitment-mortality models to assess growth rates and population projections" in Ecology and Evolution. We provide all necessary data not included in the manuscript to reproduce the analysis of growth rates and population projections of moose in northeastern Minnesota.
Description
See ReadMe text file for a comprehensive description of all uploaded data files.
Referenced by
Severud, WJ, GD DelGiudice, and JK Bump. Comparing survey and multiple recruitment-mortality models to assess growth rates and population projections. Ecology and Evolution.
https://doi.org/10.1002/ece3.5725
https://doi.org/10.1002/ece3.5725
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Funding information
Minnesota Environmental and Natural Resources Trust Fund
Wildlife Restoration (Pittman-Robertson) Program
Minnesota Department of Natural Resources Section of Wildlife’s Wildlife Populations and Research Unit
Minnesota Deer Hunters Association
National Science Foundation NSF ID#1545611
National Science Foundation NSF ID#1556676
Wildlife Restoration (Pittman-Robertson) Program
Minnesota Department of Natural Resources Section of Wildlife’s Wildlife Populations and Research Unit
Minnesota Deer Hunters Association
National Science Foundation NSF ID#1545611
National Science Foundation NSF ID#1556676
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Suggested citation
Severud, William J; DelGiudice, Glenn D; Bump, Joseph K. (2019). R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/bd01-3547.
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DRUM.html
R script for stochastic simulation
(746.23 KB)
DRUM.Rmd
R script for stochastic simulation (executable version)
(886 B)
DeterministicProjections.csv
Deterministic projections
(2.05 KB)
PopulationComparisons.csv
Population comparison
(506 B)
ReadMe.txt
README
(7.04 KB)
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