Https: Work.ink En L 161 Shinytool
Current work is focused on improving landscape-level assessments of dryland resistance and resilience (Bradford et al. 2019) and integrating results into decision support tools for managers. Several tools have emerged that help managers identify appropriate seed sources by assessing the long-term climate trajectories within seed zones [e.g., the Seedlot Selection Tool designed to help forest managers match seedlots with planting sites based on climate information ( ), the Climate Distance Mapper tool designed to help resource managers match seed sources with restoration sites ( -werc-shinytools.shinyapps.io/Climate_Distance_Mapper/), and a tool to aid sampling efforts along climate gradients for an area of interest ( )]. Additional tools in development will quantify future ecological drought at a given location (Bradford and Andrews 2018) and assess the probability of a planned restoration treatment avoiding drought-induced mortality. The Land Treatment Exploration Tool (Pilliod et al. 2018) identifies past land uses, disturbances, and treatments near proposed restoration projects to help managers understand what restoration methods and seed mixes are more likely to be successful. In combination, these findings and tools can help resource managers maximize the efficacy and long-term effectiveness of restoration efforts across heterogeneous landscapes.
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