The first step is to enter a few of parameters for population structure - as well as number of populations (i.e. regions) - for the model.
Note: all fields left blank will either throw an error or default to a value of 0. If needed, you can switch to a tutorial / walk-through of the model by clicking the following button.
We use an adjusted Leslie Matrix model expressed in terms of parameters listed above. This equation corresponds to a two-sex model structure.
This Population Viability Analysis (PVA) application uses an adjusted Leslie Matrix structure with initial number of individuals, survival rates, and birth rates (for females if two-sex is used) in some set number of age-classes (n variable in figure). Population biomass is calculated as well as stocking and harvesting amounts and intervals (set later in this application).
This example figure shows a three population (i.e. three regions) with relative region-fitness from density dependence of young as well as region-to-region connectivity (arrows). In later pages we will set carrying capacity values and density dependence scalars for young, old, and mature-males (if two-sex).
Enter the number of metapopuations (or regions):
The number of regions can be between 1 - 3. A three-region meta-population model will have connectance between nodes 1-2, nodes 1-3, and nodes 2-3 (and vice versa).
Enter the number of age classes for this PVA:
The number of age classes can be between 1 - 10 per sex. Thus, a two-sex PVA structure could have up to 20 age classes (10 males and 10 females).
Enter whether or not this is a one or two sex model:
Note: if using the two-sex option, the number you entered for age-classes will be doubled so that there are that many age-classes for both males and females.
After entering all of the data:
Generate a responsive PVA framework based on the number of nodes and age classes. In the next page, you can add region and age class specific demographic and environmental rates.
Next: enter population parameters