<?xml version="1.0" encoding="UTF-8"?><metadata>
<idinfo>
<descript>
<abstract>Oregon Conservation Strategy Ecoregions, developed and released by ODFW, September, 2015. All ecoregions except the Nearshore ecoregion are provided from Oregon Biodiversity Information Center (ORBIC) March, 2010 ecoregion dataset, which were based on US EPA Level III Ecoregions. All Oregon Ecoregions modify the US EPA Level III Ecoregions and are clipped to jurisdictional borders of Oregon. The Nearshore ecoregion, and Coast Range/Nearshore boundary were provided from the Oregon State Boundary dataset, found on Oregon GEO Spatial Data Library (credit provided to BLM. Juristidictional boundaries were used to ensure all of Oregon is divided into appropriate ecoregions, as defined in the revised Oregon Conservation Strategy. The Coast Range/Nearshore boundary (land/water interface) represents the boundary of these ecoregions at a coarse scale, and is not intended to provide specific boundary of the Nearshore ecoregion, which includes some portions of estuaries and the entire inter-tidal, "splash" zone. </abstract>
<purpose>Provide coarse scale boundaries for the ecoregions documented within the revised Oregon Conservation Strategy.</purpose>
<supplinf>Oregon Biodiversity Information Center (ORBIC), March 2010
ORBIC actions: Obtained Level III Ecoregions from US EPA (full description of the EPA layer's development is below). Clipped to Oregon State jurisdictional border. Merged "Snake River Plains" ecoregion into the "Northern Basin and Range" ecoregion. Merged minor inclusions of West Cascades ecoregion that were surrounded by East Cascades into the East Cascades ecoregion. Assigned ORBIC-convention Ecoregion names and abbreviations to the resultant 8 Ecoregions, and created a new ninth Ecoregion for the marine and estuarine waters .
Marine/Estuary Ecoregion Development:
Detailed Oregon jurisdictional borders, including coastal line work and coastal and riverine islands, were obtained from Bureau of Land Management-developed shapefile, obtained from Oregon Geospatial Enterprise Office (http://gis.oregon.gov/DAS/EISPD/GEO/docs/metadata/or_state_boundary.htm). Estuary shapefile was the Scranton/Adamus Oregon Estuary dataset, developed 2004. Estuaries were not delineated by BLM. Estuaries greater than 100 acres in size were further developed : from the Scranton shapefile, features with HGM codes of W, MSL, MSH were extracted. Because water features from the Scranton dataset often extend well upstream from estuarine/riverine partition, the Estuarine/Riverine partition from National Wetland Inventory polygons and the MSL/MSL outlines were used as a guideline for trimming the features to include only 'estuarine' water and subtidal features (in an NWI context, estuary is defined by the water's salinity). A total of 21 estuaries were then burned into the "Coastal Range" ecoregion, and given the ecoregion label of "Marine/Estuary".
The Marine/Estuary Ecoregion in the Columbia River extends to the downstream end of Puget Island, and used the NWI partition that distinguished Estuarine from Riverine. This division point also conforms to the extent of the coastal zone as defined and used by the Oregon Coastal Management Program (http://www.oregon.gov/LCD/OCMP/CstZone_Intro.shtml#Extent_of_the_Coastal_Zone). Upstream of this point, all river sections and islands in the Columbia River were dissolved into the larger adjacent ecoregion (Coastal Range, Willamette Valley, West Cascades).
For the "marine" portion of the Marine/Estuary Ecoregion, the West Coast Surficial Geological Habitat, Version 3, was obtained from http://pacoos.coas.oregonstate.edu. Geometries were clipped to an extended Oregon border. Geometries were dissolved to distinguish between Continental Shelf and Nearshore (using the Phys_Hab attribute). The resultant shapefile was then topologically reconciled with the previous linework in order to remove all overlaps and gaps. Offshore islands obtained from the Oregon Legal Border file (BLM) were given precedence over any island delineations in the Surficial Geological Habitat shapefile.
The BLM Oregon Legal Border, Scranton Estuary, and Surficial Geologic Habitat datasets distinguished several types of features, and a selection of these were retained in the creation of this dataset. The Coast Range Ecoregion has four sub-regions: Mainland, offshore Coastal Islands, Estuarine Island/Columbia River and Estuarine Island/non-Columbia River. The Marine/Estuary Ecoregion has three sub-regions: Estuary, Nearshore, and Continental Shelf.
The major estuaries of the lower Columbia River (Youngs Bay, John Day, Blind Slough) were not developed for this release; nor were smaller coastal estuaries. Instead, these estuaries are merged into the Coast Range Ecoregion (Mainland).
More background: Procedures Used (From the Level III EPA shapefile):
The ecoregion boundaries of Omernik (1987) were originally compiled at a scaleof 1:3,168,000 using a variety of scale source maps, and the ecoregion map was published at a display scale of 1:7,500,000. All level IV ecoregion delineations and most all level III revisions are digitized from the U.S.G.S. 1:250,000 base maps. For this coverage, USECO, the revised level III boundaries have been smoothed and generalized appropriately for a 1:7,500,000 display scale.
1) Prior to digitizing, each base map must be initialized to orient the map and relate it in geographic coordinates to the surface of the earth. When the registration tics are entered at the start of digitizing a transformation error of &lt;0.003 must be achieved in order to insure a high level of registration accuracy. The person responsible for digital data entry completes a data sheet describing coverage name, date of entry, and whether a topology for the coverage is established.
1) All level IV ecoregion delineations and most all level III revisions are digitized from the U.S.G.S. 1:250,000 base maps. For this coverage, USECO, the revised level III boundaries have been smoothed and generalized appropriate for a 1:7,500,000 display scale. Prior to digitizing each base map must be initialized to orient the map and relate it in geographic coordinates to the surface of the earth. When the registration tics are entered at the start of digitizing a transformation error of &lt;0.003 must be achieved in order to insure a high level of registration accuracy. The person responsible for digital data entry completes a data sheet describing coverage name, date of entry, and whether a topology for the coverage is established. 2) After each 1:250,000 base map has been digitized, a topology for each coverage is established. This function creates unique identities for each polygon.
3) Next each base map is tested for polygon errors through an internal editing function. Errors are corrected for unlabeled polygons, unclosed polygons, or polygons with more than one label. Topology is reestablished for each coverage and tested again until no error are indicated.
4) The digital coverage is then plotted at the same scale as the original base map. This coverage is overlaid on a light table with the original and visually inspected for replication of original lines with digitized lines. Two individuals independently inspect the coverage for accuracy.
Revisions:
1. Original lines digitized 1986? (unknown number of revisions between then and now)
2. Updated lines in Ohio and Indiana 1/96
3. updated lines in Tenn. 2/96
4. updated lines western Oregon and Washington 6/6/96
5. updated lines in ND from updated ND level IV lines 9/96
6. updated lines in SD from updated SD level IV lines 9/96
7. deleted # 41 (became part of #42), added 3 new ecoregions (#41, #79, and
#80), extended #61 around adirondacks, #34 was extended south to Mexican
boarder. 12/96
8. updated line in SD from revised level IV lines in SD 12/96
9. merged Thompson-Okanaga Highlands ecoregion (79) with Northern Rockies
(15). Madrean Archipelago (80) item ECO became 79. 2/97
10. updated line in Ohio, and line in central Oregon from revised lines. 10/97
11. updated lines in Wisconsin from revised level IV lines. 11/97
12. updated lines in Montana from revised level IV lines. 1/98
13. Updated lines to agree with lines from the National Interagency Technical
Team (NITT). Areas where lines were altered include Ecoregion 4 in Nothern
California, slightly shifted to the west; Ecoregions 36, 37, 38 and 39;
ecoregion 73, has a tail going up Red River through Louisiana, into S.
Arkansas; ecoregion 12 was split into two, 12 and 80 (Snake River Basin and
High Desert); Ecoregion 14 was split into two, 14 and 81; Ecoregion 59
was split in Maine, 59 and 82; ecoregion 61 was split into 61 and 83;
ecoregion 63, along the east coast, was split into 63 and 84.
14. Updated lines to agree with level III revisions to AL, GA, and KS. Lines
were smoothed using alter and vertex move, add, and delete. Ecoregion
names were also updated as follows: region #24 changed from "Southern
Deserts" to "Chihuahuan Desert", region #80 changed from "Snake River High
Desert" to "Northern Basin and Range", and region #13 changed from
"Northern Basin and Range" to "Central Basin and Range". 3/99
15. Updated lines in EPA Region 3 from revised level IV lines. Level III lines
were also added to NJ separating 63 and 84. Revisions were made for NE
representing level IV updates. 3/99
16. Updated level III lines in UT, NE, KS, MD, GA, SC, and AL according to
final and latest draft lines for respective level IV ecoregions. 3/00
17. Updated level III lines in OR, WA, ID, MT, UT, NV, SC, GA, NC, KS, NE, and
MO according to lines final and latest draft lines for respective level IV
ecoregions smoothed by Jim Omernik. 11/00
18. Updated level III lines according to revisions in OR, NV, ID, MS, LA, AL,
SC, NC, KY, AR, and WI. 08/2002 jac
19. Revised level III lines according to updates in Mississippi Alluvial Plain
and in WY. 2/2003 jac
Reviews_Applied_to_Data:
1. Lines and map were reviewed by ??
2. Revised lines were reviewed by Alan Woods, Dynamac
3. Revised lines were reviewed by Glenn Griffith, EPA
4. Revised lines were reviewed by David Pater, Dynamac
5. Revised lines were reviewed by Sandy Bryce, Dynamac
6. Revised lines were reviewed by Sandy Bryce, Dynamac
7. Revised lines were reviewed by Jim Omernik, EPA
8. Revised lines were reviewed by Sandy Bryce, Dynamac
9. Revised line was reviewed by Jim Omernik, EPA
10. Revised lines were reviewed by Sandy Bryce, Dynamac
11. Revised lines were reviewed by Shannen Chapman, Dynamac
12. Revised lines were reviewed by Alan Woods, Dynamac
13. Revised lines were reviewed by Jim Omernik, EPA
14. Revised lines were reviewed by Glenn Griffith, NRCS
15. Revised lines were reviewed by Alan Woods, Dynamac
16. Revised lines were reviewed by Alan Woods, Dynamac &amp; Glenn Griffith, NRCS
17. Revised lines were reviewed by Jim Omernik, EPA
18. Revised lines were reviewed by Glenn Griffith, NRCS
19. Revisions were reviewed by Shannen Chapman, Glenn Griffith and Jim Omernik
Related_Spatial_and_Tabular_Data_Sets:
USECO.DAT - contains items ECO (Ecoregion Code) and NAME (Ecoregion Name)
USECO.LUT - contains items ECO (Ecoregion code) and SYMBOL (Lookup symbol)
References
Bryce, S.A., J.M. Omernik, D.E. Pater, M. Ulmer, J. Schaar, J. Freeouf, R.
Johnson, P. Kuck, and S.H. Azevedo. 1998. Ecoregions of North Dakota and
South Dakota. (Map poster). U.S. Geological Survey, Reston, VA.
Clarke, S.E. and S.A. Bryce. 1997. Hierarchical subdivisions of the Columbia
Plateau and Blue Mountains ecoregions, Oregon and Washington. General Technical
Report PNW-GTR-395. U.S. Department of Agriculture, Forest Service, Pacific
Northwest Research Station, Portland, OR.
Commission for Environmental Cooperation. 1997. Ecological regions of North
America: toward a common perspective. Commission for Environmental Cooperation,
Montreal, Quebec, Canada. 71pp. Map (scale 1:12,500,000).
Gallant, A.L., T.R. Whittier, D.P. Larsen, J.M. Omernik, and R.M. Hughes. 1989.
Regionalization as a tool for managing environmental resources. EPA/600/3-89/
060. U.S. Environmental Protection Agency, Environmental Research Laboratory,
Corvallis, OR. 152p.
Gallant, A.L., E.F. Binnian, J.M. Omernik, and M.B. Shasby. 1995. Ecoregions of
Alaska. U.S. Geological Survey Professional Paper 1567. U.S. Government
Printing Office, Washington D.C. 73 p.
Griffith, G.E. and J.M. Omernik. 1991. Alabama/Mississippi Project. U.S.
Environmental Protection Agency, Environmental Research Laboratory, Corvallis
OR. 27 p.
Griffith, G.E., J.M. Omernik, and S.H. Azevedo. 1997. Ecoregions of Tennessee.
EPA/600/R-97/022. U.S. Environmental Protection Agency, National Health and
Environmental Effects Research Laboratory, Corvallis, OR. 51p.
Griffith, G.E., J.M. Omernik, S.M. Pierson, and C.W. Kiilsgaard. 1994.
Massachusetts ecological regions project. EPA/600/A-94/111. U.S. Environmental
Protection Agency, Environmental Research Laboratory, Corvallis, OR. 58p.
Griffith, G.E., J.M. Omernik, C.M. Rohm, and S.M. Pierson. 1994. Florida
regionalization project. EPA/600/Q-95/002. U.S. Environmental Protection
Agency, Environmental Research Laboratory, Corvallis OR. 83p.
Griffith, G.E., J.M. Omernik, T.F. Wilton, and S.M. Pierson. 1994. Ecoregions
and subregions of Iowa: A framework for water quality assessment and management.
The Journal of the Iowa Academy of Science. 101(1):5-13.
Omernik, J.M. 1987. Ecoregions of the conterminous United States. Map (scale
1:7,500,000). Annals of the Association of American Geographers 77(1):118-125.
Omernik, J.M. 1995. Ecoregions: A spatial framework for environmental
management. In: Biological Assessment and Criteria: Tools for Water Resource
Planning and Decision Making. Davis, W.S. and T.P. Simon (eds.) Lewis
Publishers, Boca Raton, FL. Pp. 49-62.
Pater, D.E., S.A. Bryce, T.D. Thorson, J. Kagan, C. Chappell, J.M. Omernik,
S.H. Azevedo, and A.J. Woods. 1998. Ecoregions of Western Washington and
Oregon. (Map poster). U.S. Geological Survey, Reston, VA.
Wiken, E. 1986. Terrestrial ecozones of Canada. Environment Canada. Ecological
Land Classification Series No. 19. Ottawa, Canada.
Woods, A.J., J.M. Omernik, C.S. Brockman, T.D. Gerber, W.D. Hosteter, and S.H.
Azevedo. 1998. Ecoregions of Indiana and Ohio. (Map poster). U.S.
Geological Survey, Reston VA.
Woods, A.J., J.M. Omernik, D.D. Brown, and C.W. Kiilsgaard. 1996. Level III and
IV ecoregions of Pennsylvania and the Blue Ridge Mountains, the Ridge and
Valley, and Central Appalachians of Virginia, West Virginia, and Maryland.
EPA/600/R-96/077. U.S. Environmental Protection Agency, National Health and
Environmental Effects Research Laboratory, Corvallis, OR. 50p.
Notes:
Currentness_Reference
Maintenance_and_Update_Frequency
as needed
Access_Constraints
n/a
Data_Set_Credit
Completeness_Report
Horizontal_Positional_Accuracy_Report
Vertical_Positional_Accuracy_Report
Cloud_Cover
Other_References_Cited:
Notes:</supplinf>
</descript>
<useconst>(http://creativecommons.org/licenses/by/3.0)This work is licensed under a Creative Commons Attribution 3.0 License (http://creativecommons.org/licenses/by/3.0).</useconst>
<datacred>Oregon Department of Fish and Wildlife (ODFW), Salem, OR; Oregon Biodiversity Information Center (ORBIC), Portland, OR,</datacred>
<citation>
<citeinfo>
<title>Oregon Conservation Strategy Ecoregions</title>
<origin>Oregon Biodiversity Information Center</origin>
<onlink>http://app.databasin.org/app/pages/datasetPage.jsp?id=4d89c976615743a285ac615c72d7046f</onlink>
</citeinfo>
</citation>
<ptcontac>
<cntinfo>
<cntperp>
<cntper>Jimmy Kagan (jimmy.kagan@oregonstate.edu)</cntper>
<cntorg>Oregon Biodiversity Information Center</cntorg>
</cntperp>
</cntinfo>
</ptcontac>
<keywords>
<theme>
<themekey>Oregon Conservation Strategy, OCS, Ecoregions</themekey>
</theme>
</keywords>
<spdom>
<bounding>
<northbc>46.55777486500119</northbc>
<eastbc>-115.97963813789168</eastbc>
<southbc>41.678150487903125</southbc>
<westbc>-125.56960501815446</westbc>
</bounding>
</spdom>
</idinfo>
<dataqual>
<complete>All areas within jurisdictional boundaries of Oregon are present. The Marine/Estuarine ecoregion extends in some areas beyond Oregon's Territorial Seas.</complete>
<lineage>
<procstep>
<procdesc>Consolidated Data Basin Info: Obtained US EPA Level III Ecoregions, Feb 2009. Converted coverage to shapefile, pe-projected to Oregon Statewide Lambert. Clipped to Oregon Legal Border, using BLM high-resolution border shapefile. Merged Snake River Plains into Nrothern Basin/Range ecoregion. Merged minor inclusions of East Cascades into West Cascades. Removed extraneous EPA-supplied attributes; assigned ORNHIC-standard ecoregion names and abbreviations.
Modified western and northwestern edges of Coast Range ecoregion to include high-resolution coastal border, including coastal islands and Lower Columbia River estuarine islands. Assigned all islands to the CR ecoregion, and assigned a Subregion modifier to such islands.
All islands and water features upstream from the NWI-based Estuary/Riverine cutoff in the Lower Columbia River were absorbed into the appropriate ecoregion. The Columbia River estuarine islands and the Coastal Islands were retained and assigned to the Coastal Range ecoregion. The estuarine portion (per NWI definition) of the Columbia River was assigned to the Marine-Estuarine ecoregion.
Integrated the Scranton/Adamus Oregon Estuary dataset as follows: (Estuaries were not delineated in the BLM Oregon Border shapefile). Features with HGM codes of W, MSL, MSH were extracted. Because water features from the Scranton dataset often extend well upstream from estuarine/riverine partition, the Estuarine/Riverine partition from National Wetland Inventory polygons (based on the Cowardin deepwater classification system) and the MSL/MSL outlines were used as a guideline for trimming the features to include only 'estuarine' water and subtidal features (in an NWI/Cowardin context, estuary is defined by the water's salinity). Major estuaries were extracted, with "major" defined as an estuary greater than 100 acres in size. Smaller estuaries were excluded. A total of 21 major estuaries were then burned into the "Coastal Range" ecoregion, and given the ecoregion label of "Marine-Estuary" and sub-class name of "Estuary".
The Surficial Geologic Habitat, Version 3, was downloaded November 2009. Features were clipped to Oregon Legal Border. Legal border extends only three miles from shore, so the border was extended westward from the Oregon Legal Border. The features were generalized on the Phys_Hab attribute, and only the "Nearshore", "Island", and "Shelf" polygons were retained. The "Island" polygons were further generalized into Nearshore polygon. The two polygons were then assigned "Nearshore" and "Continental Shelf" sub-region attribute, and a "Marine/Estuary" ecoregion attribute.
To assure continuous coverage with the other ecoregions, the Nearshore polygon was extended well eastward. Estuary sub-region (previously burned onto the Coast Range Ecoregion), together with the Coast Range ecoregion were then burned onto the Nearshore/Continental Shelf polygons.</procdesc>
</procstep>
</lineage>
</dataqual>
<eainfo>
<detailed Name="ecoregions">
<attr>
<attrlabl>Shape</attrlabl>
<attalias>Shape</attalias>
<attrdef>Feature geometry.</attrdef>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdefs Sync="TRUE">Esri</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Ecoregion</attrlabl>
<attalias Sync="TRUE">Ecoregion</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Name of ecoregion.</attrdef>
<attrdefs>Oregon Conservation Strategy</attrdefs>
<attrdomv>
<udom>Name of ecoregion.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">ER_Abbrev</attrlabl>
<attalias Sync="TRUE">ER_Abbrev</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Abreviation of ecoregion.</attrdef>
<attrdefs>Oregon Conservation Strategy</attrdefs>
<attrdomv>
<udom>Abreviation of ecoregion.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">ERCode</attrlabl>
<attalias Sync="TRUE">ERCode</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">5</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Code used for ecoregion within the 2015 Conservation Opportunity Area analysis.</attrdef>
<attrdefs>Oregon Conservation Strategy</attrdefs>
<attrdomv>
<udom>Code used for ecoregion within the 2015 Conservation Opportunity Area analysis.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_STArea__</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_STLength__</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<enttyp>
<enttypl Sync="FALSE">ecoregions</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">9</enttypc>
<enttypd>Oregon Conservation Strategy Ecoregions</enttypd>
<enttypds>ODFW</enttypds>
</enttyp>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Auto-generated area of ecoregion. May not be accurate.</attrdef>
<attrdefs>ODFW</attrdefs>
<attrdomv>
<udom>n/a</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Auto-generated length of ecoregion. May not be accurate.</attrdef>
<attrdefs>ODFW</attrdefs>
<attrdomv>
<udom>n/a</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<distinfo>
<distrib>
<cntinfo>
<cntorgp>
<cntorg>Data Basin</cntorg>
<cntper>Data Basin Administrator</cntper>
</cntorgp>
<cntaddr>
<addrtype>physical address</addrtype>
<address>136 SW Washington Ave, Suite 202</address>
<city>Corvallis</city>
<state>OR</state>
<postal>97333</postal>
<country>USA</country>
</cntaddr>
<cntvoice>541-757-0687</cntvoice>
<cntemail>databasin_admin@consbio.org</cntemail>
</cntinfo>
</distrib>
<resdesc>Oregon Ecoregions, 2010</resdesc>
<distliab>No warranty is made by Data Basin for use of this dataset. No warranty is made by Data Basin regarding the accuracy, reliability, or completeness of this dataset. In no event shall Data Basin have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic or attribute data contained within this dataset or arising out of the delivery, installation, operation, or support by Data Basin.</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>Feature Layer</formname>
<formvern>ArcGIS 10</formvern>
<formspec>Feature Layer</formspec>
<filedec>No compression applied</filedec>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>http://app.databasin.org/app/pages/datasetPage.jsp?id=4d89c976615743a285ac615c72d7046f</networkr>
</networka>
</computer>
<accinstr>Download from http://databasin.org</accinstr>
</onlinopt>
</digtopt>
</digform>
<fees>None</fees>
<ordering>Download from http://databasin.org</ordering>
</stdorder>
<techpreq>ESRI ArcGIS Desktop and supporting operating systems.</techpreq>
</distinfo>
<Esri>
<CreaDate>20150915</CreaDate>
<CreaTime>15014900</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">ecoregions</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">183871.742782</westBL>
<eastBL Sync="TRUE">2345213.242126</eastBL>
<southBL Sync="TRUE">88600.882874</southBL>
<northBL Sync="TRUE">1675042.967520</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemSize Sync="TRUE">6.078</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot (0.304800)</csUnits>
<projcsn Sync="TRUE">NAD_1983_Oregon_Statewide_Lambert_Feet_Intl</projcsn>
<peXml Sync="TRUE">&lt;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/10.3'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_Oregon_Statewide_Lambert_Feet_Intl&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1312335.958005249],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,43.0],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,45.5],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,41.75],UNIT[&amp;quot;Foot&amp;quot;,0.3048],AUTHORITY[&amp;quot;EPSG&amp;quot;,2992]]&lt;/WKT&gt;&lt;XOrigin&gt;-118489100&lt;/XOrigin&gt;&lt;YOrigin&gt;-97381100&lt;/YOrigin&gt;&lt;XYScale&gt;3048&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808398950131233&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;2992&lt;/WKID&gt;&lt;LatestWKID&gt;2992&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20170606</SyncDate>
<SyncTime>11392400</SyncTime>
<ModDate>20170606</ModDate>
<ModTime>11392400</ModTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Oregon Conservation Strategy Ecoregions</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<citRespParty>
<rpIndName>GIS Analyst, Oregon Conservation Strategy</rpIndName>
<rpOrgName>ODFW</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<date>
<createDate>2015-09-15T00:00:00</createDate>
<pubDate>2015-10-01T00:00:00</pubDate>
</date>
<otherCitDet>Revised Oregon Conservation Strategy, ODFW, 2015.</otherCitDet>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-124.961735</westBL>
<eastBL Sync="TRUE">-116.415546</eastBL>
<northBL Sync="TRUE">46.344729</northBL>
<southBL Sync="TRUE">41.914842</southBL>
</GeoBndBox>
</geoEle>
<exDesc>Updated for the 10 year revision of the Oregon Conservation Strategy, 2015. Next planned revision is 2025.</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmEnd>2025-10-01T00:00:00</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<idPurp>Provide coarse scale boundaries for the ecoregions documented within the revised Oregon Conservation Strategy.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Oregon Conservation Strategy Ecoregions, developed and released by ODFW, September, 2015. All ecoregions except the Nearshore ecoregion are provided from Oregon Biodiversity Information Center (ORBIC) March, 2010 ecoregion dataset, which were based on US EPA Level III Ecoregions. All Oregon Ecoregions modify the US EPA Level III Ecoregions and are clipped to jurisdictional borders of Oregon. The Nearshore ecoregion, and Coast Range/Nearshore boundary were provided from the Oregon State Boundary dataset, found on Oregon GEO Spatial Data Library (credit provided to BLM. Juristidictional boundaries were used to ensure all of Oregon is divided into appropriate ecoregions, as defined in the revised Oregon Conservation Strategy. The Coast Range/Nearshore boundary (land/water interface) represents the boundary of these ecoregions at a coarse scale, and is not intended to provide specific boundary of the Nearshore ecoregion, which includes some portions of estuaries and the entire inter-tidal, "splash" zone. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Oregon Department of Fish and Wildlife (ODFW), Salem, OR; Oregon Biodiversity Information Center (ORBIC), Portland, OR,</idCredit>
<searchKeys>
<keyword>ecoregions</keyword>
<keyword>oregon</keyword>
<keyword>oregon ecoregions</keyword>
<keyword>oregon level iii ecoregions</keyword>
<keyword>oregon conservation strategy</keyword>
<keyword>oregon nearshore strategy</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Dataset should not be used as specific boundary lines between ecoregions.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<themeKeys>
<keyword>Oregon Conservation Strategy, OCS, Ecoregions</keyword>
</themeKeys>
<placeKeys>
<keyword>Oregon</keyword>
</placeKeys>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idPoC>
<rpIndName>GIS Analyst, Oregon Conservation Strategy</rpIndName>
<rpOrgName>ODFW</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
<displayName>GIS Analyst, Oregon Conservation Strategy</displayName>
</idPoC>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<dateNext>2025-10-01T00:00:00</dateNext>
</resMaint>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distTranOps>
<transSize Sync="TRUE">6.078</transSize>
</distTranOps>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2992"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.6.2</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="ecoregions">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">9</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="ecoregions">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">9</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdDateSt Sync="TRUE">20170606</mdDateSt>
<mdContact>
<rpIndName>GIS Analyst, Oregon Conservation Strategy</rpIndName>
<rpOrgName>ODFW</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
<displayName>GIS Analyst, Oregon Conservation Strategy</displayName>
</mdContact>
<dqInfo>
<dataLineage>
<statement>ORBIC's March, 2010 ecoregion dataset was downloaded from Data Basin. BLM's 2001 Oregon State Boundary dataset was downloaded from the Oregon GEO Spatial Data Library. Each dataset was converted from polygons, to polylines. All lines except the Oregon Pacific Coast shoreline and all marine boundaries were maintained from the ORBIC 2010 ecoregion dataset. The generalized Oregon Pacific Coast shoreline, and the line designated Oregon's territorial waters (~3 mile buffer of shoereline) were maintained from the state boundary line. The two datasets were then merged, and converted to polygons. Attributes were assigned to each ecoregion to designate ecoregion name, abbreviation, and code used in the 2015 Conservation Opportunity Area analysis.</statement>
<dataSource type="">
<srcDesc>Oregon Ecoregions, developed and released by Oregon Biodiversity Information Center (ORBIC), March 2010. Based on US EPA Level III Ecoregions, with an additional Marine/Estuary Ecoregion that includes major estuaries and the oceanic nearshore and continental shelf.</srcDesc>
<srcMedName>
<MedNameCd value="015"/>
</srcMedName>
<srcCitatn>
<resTitle>Oregon Ecoregions, 2010</resTitle>
<date>
<pubDate>2010-03-01T00:00:00</pubDate>
</date>
<citOnlineRes>
<linkage>http://databasin.org/datasets/4d89c976615743a285ac615c72d7046f</linkage>
<orName>Data Basin</orName>
</citOnlineRes>
</srcCitatn>
</dataSource>
<dataSource type="">
<srcDesc>This data layer is an element of the Oregon GIS Framework. This theme shows the jurisdictional and cartographic state perimeters for Oregon in the Oregon Lambert Projection.</srcDesc>
<srcMedName>
<MedNameCd value="015"/>
</srcMedName>
<srcCitatn>
<resTitle>Oregon State Boundaries - 2001</resTitle>
<date>
<pubDate>2001-01-01T00:00:00</pubDate>
</date>
<citOnlineRes>
<linkage>http://spatialdata.oregonexplorer.info/geoportal/catalog/search/resource/details.page?uuid=%7BCF375EB0-FF70-42D9-9DAE-A17A776821A8%7D</linkage>
<orName>Oregon Spatial Data Library</orName>
</citOnlineRes>
</srcCitatn>
</dataSource>
</dataLineage>
</dqInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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==</Data>
</Thumbnail>
</Binary>
</metadata>
