Using EMDS for CLs Mapping and Assessment: SE Demo Project. Keith Reynolds, USDA Forest Service Tim Sullivan, E&S Environmental Tim Lewis, U.S.

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1 Using EMDS for CLs Mapping and Assessment: SE Demo Project Partners: Keith Reynolds, USDA Forest Service Tim Sullivan, E&S Environmental Tim Lewis, U.S. EPA

2 What is EMDS? The Ecosystem Management Decision Support (EMDS) system is an application framework for knowledge-based decision support of ecological assessments at any geographic scale. EMDS integrates a state-of-the-art geographic information system (GIS) as well as knowledgebased reasoning and decision modeling technologies in the Microsoft Windows environment to provide decision support for ecosystem assessments.

3 What is EMDS? EMDS is an ArcMap extension Windows NT 4.0, 2000, XP COM-based (component object model) Major components Project environment (core) Logic engine (logic-based evaluation) Hotlink tool (intuitive graphic explanation, OCX interface) Data Acquisition Manager (priority of missing data) Priority Analyst (priority setting in planning)

4 What EMDS Doesn t Do? EMDS does not generate CL values External models are relied upon for this (e.g., MAGIC, PnET-BGC)

5 How Could It Be Applied to Critical Loads? Create central repository for CL Data Assess data needs and effects of data gaps on uncertainty Consistency of assessments across time and space Provide a tool all can use: Transparent Adaptable Expandable to other regions, U.S., N. Amer.

6 Some example questions that will be addressed in the project are: At a given watershed location, what is the mean (and max/min) modeled CL to prevent streamwater ANC (acid neutralizing capacity) from going below 50 µeq/l at any point in time between 2010 and 2050? Where are CL exceedences located under Clean Air Interstate Rule, when do those exceedences occur, and how large are they? What monitoring data are available and where are they? Where are the most at-risk resources located and what percentage of the landscape do they cover? Where do we expect to see the greatest benefit if new emissions control standards are implemented? Where do we need to monitor in order to assess future improvement?

7 National Forest Boundaries and Sampling Sites (N=268) Virginia Calk Class < > 150 Cherokee NF Pisgah NF Tennessee North Carolina Pisgah NF Cherokee NF Nantahala NF South Carolina Georgia Sumter Kilometers

8 (N=70)

9 Ecoregions Ecoregions Blue Ridge Broad Basins Eastern Blue Ridge Foothills High Mountains Limestone Valleys and Coves Northern Inner Piedmont Southern Crystalline Ridges and Mountains Southern Dissected Ridges and Knobs Southern Inner Piedmont Southern Limestone/Dolomite Valleys and Lo Southern Metasedimentary Mountains Southern Sandstone Ridges Southern Sedimentary Ridges Southern Shale Tennessee Valleys State Boundary Study Area Boundary Virginia North Carolina South Carolina Georgia Kilometers

10 Forest Vegetation Virginia Forest Type Loblolly-shortleaf pine Maple-beech-birch Nonforest Oak-hickory Oak-pine Spruce-fir White-red-jack pine Water Tennessee North Carolina South Carolina Georgia Kilometers

11 Geological Sensitivity Kentucky Virginia Tennessee North Carolina Geological Sensitivity Class Siliceous Argillaceous Felsic Mafic Carbonate Unclassified Study Area Boundary Georgia South Carolina State Boundary

12 Lithology Lithologic Type amphibolite biotite gneiss black shale claystone conglomerate diabase dolostone (dolomite) dunite felsic metavolcanic rock gabbro gneiss granite granitic gneiss greenstone limestone Tennessee mafic gneiss marble meta-argillite metasedimentary rock metavolcanic rock mica schist migmatite phyllite quartz diorite quartzite sandstone schist shale siltstone slate Virginia North Carolina South Carolina Georgia Kilometers

13 Acid-Sensitive Regions Kentucky Virginia Tennessee North Carolina Georgia South Carolina Streamwater sampling sites Siliceous lithologic types buffered by 750 m >1,000 m elevation State boundary Study area boundary