Assists with natural resource management reporting
EnSym provides practitioners with tools to access external data bases and generate site-specific management plans to guide landholders in the delivery of on-ground environmental works. EnSym links with GPS (Global Positioning System) technology to save time and reduce the costs of managing, reporting and processing data.
Assists in the application of market-based approaches to environmental management
Market-based approaches have proven to be successful in achieving cost-effective environmental outcomes. EnSym distils complex information and generates practical outputs to enable the broad application of these market-based approaches. In Victoria (Australia), EnSym has been used to map management sites, process site information and field data, and estimate environmental impacts for a variety of environmental projects.
Simulates hydrological outcomes
Modifying the landscape has an impact on both the surface and groundwater systems, including the volume of water available for production and environmental purposes. EnSym can estimate how changes to land use will impact on groundwater levels and surface water quality (erosion and nutrient transport) and quantity (stream flow).
Improves understanding about landscape connectivity and function
Landscape connectivity and configuration have a significant impact on landscape function, particularly the movement of many indigenous species and the location of refuge areas during climate change and drought. EnSym can estimate the benefits of actions in any given location, based on its contribution to landscape function.
Provides a research platform for scientists
EnSym is an effective system for testing and applying new and emerging science. EnSym has simulation and statistical tools with a simple interface that enables researchers to analyse and visualise spatial and temporal modelling outputs. Multiple programming languages can be used in one platform, providing researchers with access to a wide range of scientific biophysical and empirical landscape models.
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