DG-Sim SyncroSim Package

GitHub release

Simulate demographics of wildlife populations

DG-Sim is an open-source SyncroSim Base Package for forecasting wildlife population size and harvest.

The DG-Sim package consists of a general population-modeling framework which uses a stochastic, stage-structured matrix approach to project wildlife abundance over time. Built upon the SyncroSim software platform, DG-Sim is a wildlife harvest management tool capable of exploring the effects of alternative future harvest quotas and scenarios. Users of DG-Sim can choose to incorporate model inputs for their population of interest including, but not limited to: birth rate estimates, natural mortality rates, target harvest levels, and initial sub‐population size. The stochastic nature of DG‐Sim allows model projections to incorporate uncertainty in model inputs.

DG-Sim has been continuously developed with a user-friendly interface in mind. As such, users of the package are given the flexibility and control to interactively undertake “what‐if” analyses of model projections. DG-Sim’s accessible framework has helped support natural resource governance projects such as a community-led harvest calculator for muskoxen in Greenland, allowing for collaborative harvest management planning between community, industry, and government (Cuyler, Daniel, Enghoff et al., 2020). DG-Sim currently offers multi-language support in English, Greenlandic, and Danish.


This package requires the latest version of SyncroSim.

How to Install

Open SyncroSim and select File -> Packages… -> Install…, then select the DG-Sim package and click OK.

Alternatively, download the latest release from GitHub. Open SyncroSim and select File -> Packages… -> Install From File…, then navigate to the downloaded package file with the extension .ssimpkg.

Getting Started

For more information on DG-Sim, including a Quickstart Tutorial, see the Getting Started page.

Browse source code at http://github.com/ApexRMS/dgsim/
Report a bug at http://github.com/ApexRMS/dgsim/issues


Leonardo Frid (Author, maintainer)
Colin Daniel (Author)
Alex Embrey (Author)