Skip to main content

Rua Mordecai

We propose to support the revision and implementation of the South Atlantic Landscape Conservation Cooperative’s Conservation Blueprint by integrating its Ecosystem Indicators into a structured decision support system that makes explicit how the Indicators are interrelated and how these will respond to management and policy interventions aimed at improving the conservation status of the South Atlantic region. Our specific objectives are to (1) develop ecological production functions that predict theecological impacts of selected conservation actions relative to current conditions, and to propagate these impacts through other affected systems or functions; (2) codify protocols for updating and curating geospatial...
We will develop SMART-SLEUTH, an advanced spatially explicit modeling framework designed to augment the current SLEUTH model with sophisticated smart-growth capabilities. Based on the latest version of SLEUTH, we will create an open-source GIS-enabled software package that will implement SMART-SLEUTH with advanced modules and tools for evaluating, predicting, and visualizing smart growth scenarios and outcomes. In this software package, a more user friendly Graphic User Interface (GUI), a multi-level automatic calibration approach built on machine learning algorithms, and new spatial landscape metrics for quantifying land change patterns will provide enhanced support for complex model configuration, calibration,...
The Nature Conservancy (TNC) recently completed an unprecedented assessment of almost 14,000 dams in the Northeastern United States. The Northeast Aquatic Connectivity (NAC) project allows fisheries managers and other interested parties to assess dams at multiple scales based on their potential to benefit anadromous and resident fish species if removed or bypassed. This work has continued, with support from NOAA and USFWS, in the Chesapeake Bay watershed, where data refinements and further analysis have produced a web map and tool that allow users to interactively prioritize dams for mitigation at multiple scales and with varying criteria.The Southeast Aquatic Resources Partnership (SARP) has recently completed...
Project Goals and Objectives:1) increase the utility of the International Shorebird Survey (ISS) for making shorebird management and conservation decisions within the South Atlantic Landscape Conservation Cooperative, and2) create a single data management system that can service all partners along the Atlantic coastProject Summary:The utility of the International Shorebird Survey (ISS) has been greatly improved with an upgraded, user-friendly interface for data entry and retrieval. Manomet and ISS have contributed to the increasingly powerful citizen science bird records mechanism in eBird. Historic ISS data collected largely by volunteers as well as professional federal and state biologists over the last 40 years...
thumbnail
Draft Blueprint 2020The Blueprint is a living spatial plan for sustaining natural and cultural resources in the face of future change. It identifies opportunities for shared conservation action, prioritizing the lands and waters of the South Atlantic based on natural and cultural resource indicator models and a connectivity analysis. So far, more than 500 people from over 150 organizations have actively participated in developing the Blueprint. To learn more about the Blueprint, visit the Blueprint page.Priority CategoriesHighest priority for shared action: the most important areas for natural and cultural resources based on indicator condition. This class covers 10% of the South Atlantic geography.High priority...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.