Description: Task 1: Rectify GIS Files For Analysis
To ensure that all scientists conducting the necessary analyses are using the same concept polygons, TNC will rectify the shape file(s) provided by Batelle. All of the 22 polygons for the project concepts will need to be combined into one shapefile, with an attribute table that includes fields for project number, project name, and area . Data sources: • shapefiles from Batelle
• project concept description document (Appendix 1)
Deliverables: 1. A rectified GIS file with 22 concept polygons that can be used by TNC and other scientists to evaluate the concepts for their ability to contribute to the individual indicators. 2. A georeferenced map showing all of the project concepts. 3. Table showing the total area of each project concept.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Priority group green. The green management group has projects with moderate benefits and low impacts. The ERSA project team recommends this group as the highest priority for collaborative implementation.
Description: Task 3: Conduct Relevant Farm Analysis
For all of the concept polygons, TNC will conduct the following analysis for farm impacts and benefits. 1. Acres of converted farmland – Using Skagit County Comprehensive Plan and Zoning District shapefiles, for each concept, TNC will calculate the area that falls under each zoning category. The proportion of a concept that falls within AG-NRL or OSRSI with a history of farming will then be used by the SHD Team to calculate this indicator. Other zoning categories likely to occur within concept polygons include RRv, RB, RI, NRI, and RMI among others. 2. Landownership – Using Skagit County parcel maps, TNC will identify the types of landownership found within each project concept including private, public, or a combination of private and public. 3. Avoid farmland easements – TNC will identify any project concepts that overlap parcels either Skagit County Farmland Legacy Program or NRCS farmland protection easements. The number of easements and acres in preserved status should be calculated for each concept. Deliverables:
1. Table showing by project concept the area of different zoning categories found within each concept polygon. 2. Table showing by project concept ownership status of parcels within each concept polygon. 3. Table showing by project concept the number and total area of preserved farmland within the concept polygon.
4. A georeferenced map showing concept polygons coded by ownership status (public, private or a combination of both). 5. A georeferenced map showing concept polygons and preserved farmland parcels, highlighting areas of overlap. Data sources: • Skagit County Comprehensive Plan and Zoning District Shape file, found at http://www.skagitcounty.net/Departments/GIS/Digital/compplan.htm
• Skagit County Parcel Map and Data
• Skagit County Data on Farmland Legacy Program
Description: Task 5: GIS Analysis to Inform Fish Objective 2 (Suitable Chinook Habitat) and 6 (Marsh Habitat Diversity)
Using the XYZ coordinates from the “with-project” model surface from PNNL, TNC will determine the elevational profile of each project concept polygon. The XYZ coordinates of the “with-project” model surface will be used to create a raster file of the ground surface. [It is understood that this method will smooth the ground surface to some degree, but is preferred because it provides a surface with the old river- or bay-front dike or levee removed.] The project polygons will be overlaid on this surface and a 100-foot wide buffer, representing the footprint of a new setback levee/dike, will be removed along the landward edges of each project polygon where setback levees are needed. The attached file indicates which project polygons contain setback dikes or levees and along which edges of the project the dikes/levees are located. The remaining areas (excluding setback levee/dike footprints) within each polygon surface will then be broken down into 1-foot bins. For each project concept, less any setback dike or levee footprint, TNC will determine the number of acres that is represented by each 1-foot elevational range.
Data sources:
• XYZ coordinates of model surface nodes from PNNL for “with-project” conditions.
• Project concept polygons (as used for previous analyses).
Deliverables: 1. A table that contains the number of acres within each 1-foot elevational bin within each project concept, less the area encompassed by a setback levee or dike.
2. A georeferenced map showing the plan view distribution of 1-foot elevational bins for each project concept.