RangeShifter

RangeShifter simulates spatial eco-evolutionary dynamics to model individual-based population, dispersal (including evolving emigration, transfer, and settlement rules), and genetic (neutral and adaptive) responses to temporally changing landscapes and management scenarios.

Key Features:

• Process-Based Modelling: Utilizes process-based models to predict species responses to environmental change and management interventions.
• Dynamic Landscapes Simulation: Simulates ecological dynamics on temporally changing landscapes to represent range expansions and contractions.
• Explicit Genetic Modelling: Implements an explicit genetic architecture enabling simulation of neutral and adaptive genetic processes.
• Evolutionary Dispersal Dynamics: Supports evolving emigration, transfer, and settlement rules to model dispersal evolution under changing conditions.
• Individual-Based Models: Represents populations as intricate individual-based models capturing demographic and behavioural variation.
• Implementation: Implemented in object-oriented C++ and redeveloped for cross-platform operation including high-performance computing clusters.

Scientific Applications:

• Reintroduction Strategies: Simulates outcomes of alternative reintroduction scenarios to inform strategy evaluation.
• Range Expansion Patterns: Investigates species range expansion across dynamically changing landscapes.
• Population Viability Assessments: Assesses population viability across complex landscapes incorporating ecological and evolutionary processes.

Methodology:

Implemented in object-oriented C++ to perform computationally efficient individual-based simulations and redeveloped for cross-platform execution including high-performance computing clusters.