GSR: Simulator - Vortex
Attribute | Value |
---|---|
Title | Vortex |
Short Description | VORTEX is an individual-based simulation model for population viability analysis (PVA). |
Long Description | VORTEX is an individual-based simulation model for population viability analysis (PVA). This program will help you understand the effects of deterministic forces as well as demographic, environmental, and genetic stochastic (or random) events on the dynamics of wildlife populations. VORTEX models population dynamics as discrete, sequential events (e.g., births, deaths, catastrophes, etc.) that occur according to defined probabilities. The probabilities of events are modeled as constants or as random variables that follow specified distributions. Since the growth or decline of a simulated population is strongly influenced by these random events, separate model iterations or “runs” using the exact same input parameters will produce different results. Consequently, the model is repeated many times to reveal the distribution of fates that the population might experience under a given set of input conditions. |
Version | 10.0.5 |
Project Started | 1993 |
Last Release | 3 years, 8 months ago |
Homepage | https://scti.tools/vortex/ |
Citations |
|
GSR Certification | Accessibility |
Last evaluated | 11-05-2020 (1233 days ago) |
Attribute Category | Attribute |
---|---|
Target | |
Type of Simulated Data | Genotype at Genetic Markers, Sex Chromosomes (Requires complex use of features of the model ), |
Variations | Biallelic Marker, Multiallelic Marker, Other (Phenotypes; with user-specified inheritance mechanism), |
Simulation Method | Forward-time, |
Input | |
Data Type | Allele Frequencies, Other (Extensive data on demographic rates), |
File format | Genepop, XML (Will be available in version 10.), Program Specific, |
Output | |
Data Type | Genotype or Sequence, Phenotypic Trait, Individual Relationship (Pedigree information), Demographic (Extensive reporting of demographic data), Diversity Measures, |
Sequencing Reads | |
File Format | Genepop, Program Specific, |
Sample Type | Extended or Complete Pedigrees, |
Phenotype | |
Trait Type | Binary or Qualitative, Quantitative (Possible, but with sophisticated use of functions in the program), Multiple, |
Determinants | Environmental Factors (Possible, but with difficulty), Gene-Environment Interaction, |
Evolutionary Features | |
Demographic | |
Population Size Changes | Bottleneck, Carrying Capacity, |
Gene Flow | Stepping Stone Models, Island Models, Sex or Age-Specific Migration Rates, Admixed Population, User-defined Matrix, |
Spatiality | |
Life Cycle | Age structured, User-Defined transition matrices, |
Mating System | Random Mating, Monogamous, Polygamous, Selfing, Age- or Stage-Specific, Assortative or Disassortative (With complicated use of program functions), |
Fecundity | Randomly Distributed, Individually Determined, Influenced by Environment, |
Natural Selection | |
Determinant | Single-locus, Multi-locus, Fitness of Offspring, Phenotypic Trait, Environmental Factors, |
Models | Directional Selection, Multi-locus models, Epistasis, Random Fitness Effects, Disruptive, Phenotype Threshold, Frequency-Dependent, Other (Program is highly flexible. fitness can be defined as any function of genotypes, age, sex, population status), |
Recombination | |
Mutation Models | k-Allele Model (In version 10), Infinite-allele Model (In version 10), |
Events Allowed | Varying Demographic Features, Population Events, Varying Genetic Features, Change of Mating Systems, |
Other | |
Interface | Command-line, Graphical User Interface, |
Development | |
Tested Platforms | Windows, |
Language | C or C++, |
License | |
GSR Certification | Documentation, Application, Support, |
Number of Primary Citations: 2
Number of Non-Primary Citations: 5
The following 5 publications are selected examples of applications that used Vortex.
2018
Hileman, E. T., R. B. King, and L. J. Faust., Eastern massasauga demography and extinction risk under prescribed-fire scenarios., The Journal of Wildlife Management, 01-26-2018
2017
Licht D.S., Bison conservation in Northern Great Plains national parks: no need to panic., Great Plains Research, 01-28-2017
Licht D.S., Modeling viability of a potential Canada lynx reintroduction to Isle Royale National Park., Natural Areas Journal, 01-30-2017
Pacioni, C., Williams, M., Lacy, R.C., Spencer, P.B.S. and Wayne, A.F., Predators and genetic fitness: key threatening factors for the conservation of bettong species. Pacific, Concervation Biology, 01-31-2017
2008
Ballou, J.D., K. Traylor-Holzer, A. Turner, A.F. Malo, D. Powell, J. Maldonado, and L. Eggert., Simulation model for contraceptive management of the Assateague Island feral horse population using individual-based data, Wildlife Research, 10-30-2008