Metapop simulates the evolution of meta-populations of monoecious plants accross heterogeneous landscapes. Long Description (required)
Metapop simulates the evolution of meta-populations of monoecious plants accross heterogeneous landscapes. Based on quantitative genetics theory, Metapop is individual-based, genetically and spatially explicit, its structure embodies several interacting modules. Each simulation is parameterized through a configuration environment composed of textual files. The evolutionary scenario defined is simulated by the model which produces raw data. Finally, output modules process the raw data and enable the monitoring and the analysis of evolutionary changes at the level of quantitative traits, their underlying genes or neutral markers. Fstat and Genepop files of individual values can be generated, which allows the user to further process the data with other packages. A comprehensive description of
the use of Metapop is given in the following parts. A synthesis text file MTP cheatsheet.txt is available in the main directory for a quick help on basic commands. https://quercusportal.pierroton.inra.fr/index.php?p=METAPOP u241918@bcm.edu
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 30362291 ],
Soularue JP, Thöni A, Arnoux L, Le Corre V, Kremer A ,
Metapop: An individual-based model for simulating the evolution of tree populations in spatially and temporally heterogeneous landscapes. ,
Mol Ecol Resour ,
01-01-2019 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=30362291, Primary Citation