20200529 10193500 1.0 FALSE WorkingForestsAttributes_050520 -2299251.559100 -1896387.122600 2431839.652700 3147963.888400 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) USA_Contiguous_Albers_Equal_Area_Conic_USGS_version <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.3.0'><WKT>PROJCS[&quot;USA_Contiguous_Albers_Equal_Area_Conic_USGS_version&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-96.0],PARAMETER[&quot;Standard_Parallel_1&quot;,29.5],PARAMETER[&quot;Standard_Parallel_2&quot;,45.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,23.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;Esri&quot;,102039]]</WKT><XOrigin>-16901100</XOrigin><YOrigin>-6972200</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102039</WKID><LatestWKID>102039</LatestWKID></ProjectedCoordinateSystem> 20200529 10190700 20200529 10190700 150000000 5000 20200529 ArcGIS Metadata 1.0 WorkingForestsAttributes_050520 vector digital data <DIV STYLE="text-align:Left;"><DIV><P><SPAN>Overview of Spatial Design Goals and Process: A key principle of Landscape Conservation Design is that “Stakeholders design landscape configurations that promote resilient and sustainable social-ecological systems” (Campellone et al, 2018). From Campellone et al: (2018): “A beneficial aspect of stakeholder engagement in spatial design is the development of a deeper trust that the models used to identify priorities integrate their interests with other information and knowledge, which furthers social learning and collective agreement on resource allocation and landscape objectives (Melillo et al., 2014). Overall, the co-development of a spatial design helps organize landscape elements while maintaining and improving stakeholder buy-in (De Groot, Alkemade, Braat, Hein, &amp;amp; Willemen, 2009; Melillo et al., 2014).”Analytical Question: Create a prototype landscape design that integrates multiple values on the landscape including wildlife conservation, forest and agriculture production, recreation, cultural and human health. The prototype will be created based upon readily available data. This analysis will be used to understand landscape-scale conservation and working landscape priorities, while incorporating other important values. The blueprint will be used to represent a sustainable landscape in the future. We can include social network perspective as part of a potential suite of design products, such as implementation capacity.Desired Outcome: A map or maps that represents a balance of multiple values on the landscape, with a focus on conservation and working landscape values.</SPAN></P></DIV></DIV> This feature class represents key attributes that are important for working forests. This is for version 1.0 of the spatial design process of the Cascades to... Tom Miewald, USFWS; Erin Butts, USFWS; John Mankowski, Mankowski Environmental. Tom Miewald US Fish and Wildlife Service Conservation Planner 971.413.4142 911 NE 11th Portland OR 97232 thomas_miewald@fws.gov Cascades to Coast Landscape Collaborative Spatial Design Oregon Washington Coastal Ecoregion Landscape Conservation Design Working Lands forestry tree age distance to mills zoning site class Cascades to Coast Landscape Collaborative Spatial Design Oregon Washington Coastal Ecoregion Landscape Conservation Design Working Lands forestry tree age distance to mills zoning site class <DIV STYLE="text-align:Left;"><DIV><P><SPAN>These data are produced for dialogue on the intersection of several different values on the landscape, including working lands, conservation and ecosystem services.</SPAN></P></DIV></DIV> Esri ArcGIS 12.3.2.15850 true -127.067133 -119.544736 48.995982 41.787941 1 -127.067133 -119.544736 48.995982 41.787941 60007 WorkingForestsAttributes_050520 Feature Class 60007 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 0 0 Shape Feature geometry. Esri Coordinates defining the features. Shape Geometry 0 0 0 PUID PUID Integer 4 0 0 TreeAge TreeAge Double 8 0 0 Importance for CCLC working lands assessment: 'Large blocks of 10-year-old trees will be important for harvest, say, 30 years from now."( WFPA: Mark Doumit, Doug Hooks,Darin Cramer, John Ehrenreich, Jason Callahan,John Mankowski). This attribute is from the OSU LEMMA data set. "Basal area weighted stand age based on field recorded or modeled ages of dom/codom trees". https://lemma.forestry.oregonstate.edu/data/structure-maps MillDistance MillDist Double 8 0 0 Importance for CCLC working lands assessment: "Longer-term sustainability if the processing infrastructure is close. If you are beyond 50-100 miles from these, logs become hard to sell because of transportation costs. Good examples of this problem are the Forks area along the Oly Peninsula, and eastern Cascades where it is difficult to find markets for forest products, particularly low value wood from thinning for forest health improvement.". Source: Working Farms and Forests Spatial Design Team; "WFPA: Mark Doumit, Doug Hooks,Darin Cramer, John Ehrenreich, Jason Callahan,John Mankowski. Mill locations are based upon U.S. Wood-Using Mill Locations - 2005 (https://www.srs.fs.usda.gov/econ/data/mills/). These data were intersected with the BLM roads data for OR and WA, along with the ArcGIS Pro Network Analyst to assess driving distance from mills, making contours of driving distance. These data were rasterized and summarized by the CCLC hexagonal planning units. ContiguousForest ContigForest Double 8 0 0 importance for CCLC working lands assessment: Large blocks of high-quality forest provide the raw materials for a timber industry. Source: Working Farms and Forests Spatial Design Team; "WFPA: Mark Doumit, Doug Hooks,Darin Cramer, John Ehrenreich, Jason Callahan,John Mankowski. Land ownership, management and zoning data were compiled across the entire region across several different data sets. A moving window was used to calculate. This is an alternative to the ContiguousForest2 field. AgricultureZoning AGRICULTURE Double 8 0 0 Compilation of zoning data across the CCLC region. Data from Oregon were derived from the statewide zoning data set. Data from Washington were collected and compiled from different counties across the region. ForestZoning FOREST Double 8 0 0 Compilation of zoning data across the CCLC region. Data from Oregon were derived from the statewide zoning data set. Data from Washington were collected and compiled from different counties across the region. PublicForestZoning PUBLIC_FOREST Double 8 0 0 Compilation of zoning data across the CCLC region. Data from Oregon were derived from the statewide zoning data set. Data from Washington were collected and compiled from different counties across the region. SiteClass SiteClass Integer 4 0 0 importance for CCLC working lands assessment: 'site class or site index, which is mappable, shows where the most productive sites for growing trees exist. Site indexes for some species are grouped together into site classes, with Site Class I being the highest site, and Site Class V or VI being the lowest. Trees growing on Site Class I lands are highly productive, typically growing on rich soil, with access to moisture and protection from the wind. Alluvial sites at low elevations often fall into this category. Conversely, Site Class V trees are generally growing on poor soils, in droughty climates, or at the upper edge of their elevational range.."( WFPA: Mark Doumit, Doug Hooks,Darin Cramer, John Ehrenreich, Jason Callahan,John Mankowski). Washington data is derived from: http://geo.wa.gov/datasets/wadnr::site-class. Oregon data is derived from SSURGO data. The field fprod_r contains the representative value for forest productivity in ft3/ac/yr. It also has low and high forest productivity values for the component. For more details on the tables see the SSURGO table and columns report and/or the column descriptions report (https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053631 1 Trees growing on Site Class I lands are highly productive, typically growing on rich soil, with access to moisture and protection from the wind. https://openoregon.pressbooks.pub/forestmeasurements/chapter/6-2-overview-of-site-index/ 2 3 4 5 Site Class V trees are generally growing on poor soils, in droughty climates, or at the upper edge of their elevational range. https://openoregon.pressbooks.pub/forestmeasurements/chapter/6-2-overview-of-site-index/ 6 (Red Alder) The soils major species code indicated Red Alder http://geo.wa.gov/datasets/wadnr::site-class 7 (ND/GP) No data), NA, or gravel pit http://geo.wa.gov/datasets/wadnr::site-class 8 (NC/MFP) Non-commercial or marginal commercial forest land http://geo.wa.gov/datasets/wadnr::site-class 9 (NC/MFP) Non-commercial or marginal commercial forest land http://geo.wa.gov/datasets/wadnr::site-class PrivateForest PrivFor SmallInteger 2 0 0 ContiguousForest2 ContigForest2 Integer 4 0 0 importance for CCLC working lands assessment: Large blocks of high-quality forest provide the raw materials for a timber industry. Source: Working Farms and Forests Spatial Design Team; "WFPA: Mark Doumit, Doug Hooks,Darin Cramer, John Ehrenreich, Jason Callahan,John Mankowski. Land ownership, management and zoning data were compiled across the entire region across several different data sets. Lands that were private and zoned as forestry were spatially dissolved, creating contiguous blocks of working forests. PUIDXwalk PUIDXwalk Integer 4 0 0 This is a crosswalk field. Shape_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Length Double 8 0 0 Shape_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 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