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Natural resources managers are regularly required to make decisions regarding upcoming restoration treatments, often based on little more than business as usual practices. To assist in the decision-making process, we created a tool that predicts site-specific soil moisture and climate for the upcoming year, and provides guidance on whether common restoration activities (i.e. seeding, planting) will be successful based on these conditions. This tool is hosted within the Land Treatment Exploration Tool (LTET), an application already used by land managers that delivers a report of site condition and treatment history. Incorporated within the short-term drought forecaster (STDF) is a rigorous statistical process,...
Categories: Project;
Tags: 2019,
All Funded Projects,
Completed,
Computational Tools and Services,
Data and Information Assets,
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