Relative Importance of Areas for All Targets - NEDA Marxan Analysis, TNC, ODFW, 2011
Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information
Identification Information
Section Index
Citation:
Citation Information:
Originator: The Nature Conservancy of Oregon, Oregon Department of Fish and Wildlife
Publication Date: 2011
Title: Relative Importance of Areas for All Ecological Targets - NEDA Marxan Analysis (TNC, ODFW, 2011)
Edition: December, 2011
Geospatial Data Presentation Form: vector digital data
Other Citation Details: Copyright 2011, The Nature Conservancy. All rights reserved.
Description:
Abstract:
Data later consists of Nearshore Ecological Data Atlas Planning Grid populated with the results of Marxan analyses for all target groups combined: fish, seabirds, marine mammals and habitat. A series of Marxan scenarios comprised of 100 runs, with 10,000,000 iterations each, were completed. A best iteration was selected from each run, and a "Sum" solution resulted, which depicts how often within the 100 runs a planning grid cell was in a best iteration.
Purpose:
This dataset is designed to depict areas of natural resource concentration in Oregon's marine environment. The planning grid was developed by NOAA's Biogeography Branch and The Nature Conservancy in Oregon as a common index for modeling efforts in development of the Oregon Dept. of Fish and Wildlife's (ODFW) Nearshore Ecological Data Atlas.
Supplemental Information:
"Sum" solution scores are an indication of the relative importance of the species/habitats within a planning grid cell towards meeting the benchmarks for that group. A score of 100, for example, indicates the benchmarks for a group cannot be achieved without the species/habitats within that grid cell. Similarly, a score of 0 means the species/habitats within that grid cell are not required to meet the benchmarks for that group.
Time Period of Content:
Time Period Information:
Multiple Dates/Times:
Single Date/Time:
Calendar Date: Unknown
Time of Day: Unknown
Currentness Reference: publication date
Status:
Progress: Complete
Maintenance and Update Frequency: None planned
Spatial Domain:
Bounding Coordinates:
West Bounding Coordinate: -125.775085
East Bounding Coordinate: -123.043015
North Bounding Coordinate: 46.34229
South Bounding Coordinate: 41.944977
Keywords:
Theme:
Theme Keyword Thesaurus: N/A
Theme Keyword: Fish
Theme Keyword: Seabirds
Theme Keyword: Marine Mammals
Theme Keyword: Marine Habitat
Theme Keyword: Marxan
Place:
Place Keyword Thesaurus: N/A
Place Keyword: Oregon Offshore Areas
Place Keyword: Oregon Estuaries
Place Keyword: Oregon Nearshore
Access Constraints: The Nature Conservancy reserves all rights in data provided. All data are provided as is. This is not a survey quality dataset.
Use Constraints:
The Nature Conservancy makes no warranty as to the currency, completeness, accuracy or utility of any specific data. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data.
Point of Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: The Nature Conservancy
Contact Person: Michael Schindel
Contact Position: Director of Conservation Information Systems
Contact Address:
Address Type: mailing and physical address
Address: 821 SE 14th Ave
City: Portland
State or Province: OR
Postal Code: 97214
Country: U.S.A.
Contact Voice Telephone: 5038028122
Contact Facsimile Telephone: 5032309639
Contact Electronic Mail Address: mschindel@tnc.org
Data Set Credit: The Nature Conservancy in Oregon, NOAA's Biogeography Branch
Native Data Set Environment: Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4000
Data Quality Information
Section Index
Logical Consistency Report: All data are coded consistently throughout these related tables and feature classes.
Completeness Report: Most of these Marxan-input data layers are viewable in Oregon Marine Map. Data flagged with * are not displayed because of their confidential or proprietary nature.
Lineage:
Source Information:
Source Citation:
Citation Information:
Originator: NOAA Biogeography Branch, Silver Spring, MD
Publication Date: 2011
Title: NOAA Fishery Independant Modeling
Source Time Period of Content:
Source Contribution:
Spatial predictive models for fish assemblage metrics developed for waters offshore of Oregon. Analysis was completed using regional fishery-independent trawl datasets. Prediction metrics produced included species richness, abundance, biomass, nearshore flatfish biomass. Probability data (likelihood of "hotspots" or high concentrations) for species richness, diversity, biomass and presence of a nearshore fish species assembalge were used in MARXAN.
Source Information:
Source Citation:
Citation Information:
Originator: The Nature Conservancy
Publication Date: 2011
Title: TNC Fishery-dependent Modeling
Source Time Period of Content:
Source Citation Abbreviation: Fishery-dependent Model of Species Presence off Oregon and Washington
Source Contribution:
Maximum Entropy was used with ODFW Trawl data to produce probability of occurrence rasters for lingcod*, starry flounder*, sand sole*, Dover sole*, petrale sole*, pacific sanddab*, and Dungeness crab*. Zonal statistics were used to impute a mean probability of occurrence to each AU. For species associated with soft sediment substrates, those probabilities were reduced over rocky substrates by subtracting the percentage of AU with rocky substrate from the probability of species occurrence. Negative values resulting from this calculation were set to 0, all positive values were then normalized to use as abundance for the AUxTGT combination in Marxan.
Source Information:
Source Citation:
Citation Information:
Originator: Oregon Department of Fish and Wildlife
Publication Date: 2011
Title: Estuary nursery area index
Other Citation Details:
The Oregon Estuary Plan Book. Salem, OR: Department of Land Conservation and
Development. 126 pp.
US Fish and Wildlife Service. 2011. Wetlands and Deepwater Habitats of the Conterminous United States, National Wetland Inventory Maps. Washington, DC: US Fish and Wildlife Service.).
Source Time Period of Content:
Source Citation Abbreviation: Nursery Area Proxy
Source Contribution:
Spatial area of estimated nursery size by estuary, as determined by ODFW staff in spreadsheet format.
The total surface area of Estuarine aquatic bed and intertidal habitats within estuaries provides a proxy for the relative importance of each estuary to nursery area functions.
The surface area values for larger estuaries were derived from the DLCD Estuary Plan Book, (P. 33, table entitled Estuarine Habitat Class Distribution by Estuary) and represent the sum of areas of the following habitats: subtidal aquatic bed, intertidal shore, intertidal flat, and intertidal aquatic bed. Surface area values for estuaries not listed in the Oregon Estuary Plan book were derived from National Wetland Inventory maps (aquatic bed and intertidal polygons - wetland codes E1AB, E2AB, E2US) (US Fish and Wildlife Service 2011).
Surface area units are in acres.
Source Information:
Source Citation:
Citation Information:
Originator: NOAA National Marine Fisheries Service
Publication Date: 2009 / 2011
Title: Non-salmonid Estuary ESA index
Other Citation Details: Federal Register notices designating critical habitat for Pacific Eulachon (2011) or Green sturgeon southern distinct population segment (2009)
Source Time Period of Content:
Source Citation Abbreviation: Non-salmonid fish ESA critical habitat score
Source Contribution:
Estuaries and/or their river systems with designated ESA critical habitat for Eulachon (smelt) or Green sturgeon (southern distinct population segment), as determined by ODFW staff and tracked in spreadsheet format.
A score of "1" was given in the spreadsheet to estuaries with critical habitat for one of the species, and a score of "2" was given to estuaries with critical habitat for both of the species. The Columbia, Coos, Umpqua, Yaquina, and Siuslaw have critical habitat for green sturgeon, and the Columbia, Upmqua, and Tenmile Creek have critical habitat for eulachon.
Source Information:
Source Citation:
Citation Information:
Originator: Oregon Department of Fish and Wildlife
Publication Date: 2011
Title: Salmonid relative importance index - Estuaries
Other Citation Details:
The salmon importance ranking was developed by ODFW MRP salmon staff and ODFW coastal district biologists; all decisions were made by consensus and were based on professional opinion. Input data for watershed acreage and number of salmonid populations were obtained from The Nature Conservancy, which acquired the data from the Wild Salmon Center for use in their 2011 assessment of West Coast estuaries (Gleason et al., 2011). ODFW MRP staff developed the attribution area approximation.
Gleason MG, S Newkirk, MS Merrifield, J Howard, R Cox, M Webb, J Koepcke,
B Stranko, B Taylor, MW Beck, R Fuller, P Dye, D Vander Schaaf, J. Carter 2011. A Conservation Assessment of West Coast (USA) Estuaries. The Nature Conservancy, Arlington VA. 65pp.
Source Time Period of Content:
Source Contribution:
Salmonid relative importance ranking of estuaries, as determined by ODFW staff in speadsheet format.
All freshwater outlets to the ocean (i.e., streams, rivers, estuaries) that harbor significant runs of salmonid species were ranked according to their perceived importance relative to both species diversity and abundance (species-specific or cumulative).
The following criteria were considered during the ranking process: watershed acreage, number of salmonid populations, and whether the freshwater system had a lake component to it or not.
The number of salmonid populations was defined as the total number of distinct runs (e.g., fall run, spring run) of chinook salmon, coho salmon, pink salmon, chum salmon, and steelhead; cutthroat trout were not considered.
All species/run combinations were treated equally; ESA-listed runs were not given more
weight. All systems in which lake habitat was present were increased in rank by one unit.
Ranking was from 1 (low) to 5 (high), and generally fell into the following categories:
1) very large river systems (i.e. the Columbia River), medium-large coastal rivers (i.e., Rogue and Umpqua Rivers), medium-sized coastal rivers (e.g., Yaquina River) and large creeks with lake components (e.g., Tahkenitch Lake), small rivers (e.g., Salmon River) and medium-sized coastal creeks (e.g., Hunter Creek), and small coastal creeks (e.g., Beaver Creek).
Source Information:
Source Citation:
Citation Information:
Originator: US Fish and Wildlife Service
Publication Date: 2010
Title: Western Snowy Plover ESA Critical Habitat
Source Time Period of Content:
Source Contribution:
Hectares of designated critical habitat for Western Snowy Plover by assessment unit.
Polygons of designated critical habitat for the western Snowy plover were intersected with the assessment units. The summed area of critical habitat within each AU (hectares) were used as abundance in the Marxan analysis.
Source Information:
Source Citation:
Citation Information:
Originator: Naughton, M. B., D. S. Pitkin, R. W. Lowe, K. J. So, and C. S. Strong
Publication Date: 2007
Title: Catalog of Oregon Seabird Colonies
Series Information:
Series Name: Biological Technical Publication
Issue Identification: FWS/BTP-R1009-2007
Publication Information:
Publication Place: Washington, D.C.
Publisher: U.S. Department of Interior, Fish and Wildlife Service
Source Time Period of Content:
Source Citation Abbreviation: Seabird colonies by assessment unit.
Source Contribution:
Locations of all known existing and historical seabird colonies on the Oregon Coast, as mapped and quantified by the USFWS.
USFWS mapped seabird colonies along the Oregon coast as points. Using these most recent surveys and historical documents, estimates of importance were calculated for each colony. These importance values were used to group colonies into low, medium and high importance categories. These categories were the basis of the seabird colony Marxan targets, with goals set for each. Colony targets were also stratified across north/south coast
divide, resulting in 6 seabird colony targets.
Source Information:
Source Citation:
Citation Information:
Originator: Craig Strong, Crescent Coastal Research
Publication Date: 2009
Title: Survey of densities and diversity of select seabird species during summer off the Oregon Coast
Other Citation Details: Unpublished materials
Source Time Period of Content:
Source Contribution:
Spatial information for nearshore maximum density ofCommon Murre, Marbled Murrelet, and loons and grebes within Oregon's nearshore marine environment.
Also spatial information for Nearshore seabird density (shannon wiener diversity - all species combined) and spatial information for Nearshore seabird density (summed density - all species combined). Product of a survey on densities and diversity of select seabird species within Oregon's nearshore marine environment.
seabird diversity index,
Source Information:
Source Citation:
Citation Information:
Originator: Point Reyes Bird Observatory's (PRBO) Conservation Science program
Publication Date: 2010
Title: Modeled Seabird Foraging hotspot Abundance data
Other Citation Details:
Nur, N., J. Jahncke, M. Herzog, J. Howar, J. Wiens, and D. Stralberg. 2010. Wildlife hotspots in the California Current System. Technical report to the Resources Legacy Fund Foundation. PRBO Conservation Science, Petaluma, CA. 38 pp.
Source Time Period of Content:
Source Contribution:
Seabird foraging abundance (individuals per square km) by assessment unit for Sooty Shearwater*, Common Murre*, Brandt's Cormorant*, and Black-Footed Albatross*.
Derrived from Nur et al., 2010, 2011, where distribution and abundance of seabird species were modeled using seabird observational data collected at-sea over a 12-year period (1997-2008), bathymetric data, and remotely sensed oceanographic data.
A continuous raster for the California Current region was clipped to the Oregon planning extent. The raster was resampled to 90 meters, and zonal staistics were used to impute a mean value to each AU. Only grid cells beyond the TS were populated with this information. Several areas in the EEZ near the TS boundary were missing data, and values for those cells were imputed by averaging the values from adjacent cells, starting at the western edge and working from the northern and southern corners towards the east and center of the unpopulated cells within the EEZ. Once all cells within the EEZ portions of the planning extent were populated,the values were normalized on a 0 - 100 scale.
Source Information:
Source Citation:
Citation Information:
Originator: Craig Strong, Crescent Coastal Research
Publication Date: 2011
Title: Nearshore Marine Mammal Relative Abundance
Source Time Period of Content:
Source Citation Abbreviation: Summer resident Gray whale or harbor porpoise densities by assessment unit
Source Contribution:
Spatial information for the relative abundance of summer resident Gray Whales or Harbor Porpoise within Oregon's nearshore marine environment.
Resident Gray Whale data (individuals sighted per linear km) or Harbor Porpoise data (individuals sighted per linear km) were attributed to polygons by Crescent Coastal Research and Oregon Department of Fish and Wildlife as density values. These were intersected with the planning grid, and an abundance for each AU was calculated as (Density1 * Percentage AU of 1) + (Density 2 * Percentage AU of 2)...+ (Density N *Percentage AU of N). These values were then normalized on a 0 - 100 scale to use as abundance values in Marxan.
Source Information:
Source Citation:
Citation Information:
Originator: NOAA Southwest Fisheries Science Center
Publication Date: 2009
Title: Modeled Cetacean Densities in the California Current Ecosystem
Online Linkage: http://seamap.env.duke.edu
Source Time Period of Content:
Source Citation Abbreviation: Cetaceans by assessment unit
Source Contribution:
Best estimates of cetacean density over the past 15 years in the California Current Ecosystem. Modeled from 16 ship-based cetacean and ecosystem assessment surveys. All data were collected by NOAA's Southwest Fisheries Science Center (SWFSC) from 1986-2006 using accepted, peer-reviewed survey methods. Data include over 17,000 sightings of cetacean groups on transects covering over 400,000 km. Relevant species: blue whale, fin whale, Risso's dolphin, northern right whale dolphin, Pacific white-sided dolphin, humpback whale, Dall's porpoise, sperm whale, berardius whale.
Predicted densities for the 12 whale species were mapped across the east Pacific to a vector grid composed of 1892 cells, each ~ 71000 hectares in size. The densities for each species, as mapped in the original source grid, were broken into quartiles. Only the 9 species with densities in the top two classes within the NEDA planning area were considered as targets. These 9 species were then compared against the NEDA planning grid, and only the highest quartile occuring within the EEZ and/or TS would be targets in those respective areas. The NEDA AUs which intersected those upper quartiles were then populated with a "1", indicating presence of the target species.
Source Information:
Source Citation:
Citation Information:
Originator: Oregon Department of Fish and Wildlife
Publication Date: 2011
Title: Pinniped Haul-out Locations & Use
Source Time Period of Content:
Source Contribution:
Pinniped haulout locations and their relative importance by assessment unit for harbor seal, Stellar sea lion, California sea lion, northern elephant seal haulout/rookery locations in Oregon.
Haulout data are represented by shorezone segments, each of which can be occupied by one or more species of pinniped. This presented a conundrum when deciding how to incorporate abundance values for each pinniped species; is the haulout habitat the primary target that Marxan should optimize for, or the species? A compromise was reached by retaining each reach x species combination, but rather than normalizing length of reach per species, the amount of habitat within each AU was normalized, and that value was used as the "abundance" for each reach x species combination. This maintains the relative importance of any reach for a species, but also recognizes a haulout 1000 meters in length is inherently more important than one 10 meters in length. These normalized reaches were then broken into 12 targets for each combination of species and a category based upon the number of animals of that species that use the haulout.
Source Information:
Source Citation:
Citation Information:
Title: Stellar sea lion ESA Critical Habitat
Source Time Period of Content:
Source Citation Abbreviation: Designated Critical Habitat for Stellar Sea Lion in Oregon
Source Contribution:
Hectares of Stellar Sea Lion critical habitat by assessment unit.
Polygons of designated Stellar Sea Lion critical habitat were intersected with the planning grid and hectares of habitat were calculated as the Marxan abundance values.
Source Information:
Source Citation:
Citation Information:
Originator: Active Tectonics and Seafloor Mapping Lab, COAS, Oregon State University
Publication Date: 2011
Title: West Coast Surficial Geolgic Habitat, version 3.6.1
Source Time Period of Content:
Source Contribution:
Spatial information for Seafloor habitats (Benthic substrate classes) of all types by assessment unit.
Benthic habitats were grouped into 4 classes; sand, mud, rock and mixed. Kelp data (AL0100) were used to augment the rock class with some small additional areas missed by the OSU benthic habitat mapping team. The final map of classes was then dissolved into singlepart features. Bathymetry data (HA0400) were reclassified into 5 classes; 0 - 30 meters of depth, 30 - 60 meters of depth, 60 - 200 meters of depth, 200 - 700 meters of depth, and gt 700 meters of depth. This reclassified raster was vectorized and then intersected with the benthic habitats to create a substrate x depth class dataset. This was subsequently intersected with the planning grid and hectares of each substrate x depth class were calculated for each AU. The rock substrate types were stratified into separate targets based upon the north/south split within the territorial sea, and rock substrates beyond the TS. Rock was analyzed as part of the "Fish" group in Marxan as a proxy for rock fish, as a habitat type within the "Habitat" Marxan run, and as part of the "Al Target" Marxan run.
Source Information:
Source Citation:
Citation Information:
Originator: Oregon Department of Fish and Wildlife
Publication Date: 2011
Title: Kelp Canopy composite from all kelp surveys (1990, 1996-99, 2010)
Source Time Period of Content:
Source Contribution:
This layer was created from the other individual year kelp surveys to show the maximum known extent of Oregon's kelp canopy. Included are: an Oregon coastwide inventory of canopy kelp in 1990, that was conducted to understand the distribution of kelp in the nearshore region, and five other years of southern Oregon surveys 1996-99, 2010.
Data were intersected with the planning grid and hectares x AU were calculated. Marxan target codes were assigned based upon north/south stratification of the territorial sea.
Source Information:
Source Citation:
Citation Information:
Originator: Oregon Department of Fish and Wildlife
Publication Date: 2005
Title: Sandy Shoreline Sections of the Oregon Coast
Source Time Period of Content:
Source Contribution:
This dataset depicts Oregon's sandy shoreline. The sandy shoreline includes beaches or the base of cliffs that have only sand substrate. The sandy shoreline was delineated from color-infrared aerial photographs of the entire Oregon coast shot at minus tides in 1994.
Source Information:
Source Citation:
Citation Information:
Originator: Oregon Department of Fish and Wildlife
Publication Date: 2005
Title: Rocky Shoreline Sections of the Oregon Coast
Source Time Period of Content:
Source Contribution:
This dataset depicts Oregon's rocky shoreline. The rocky shoreline includes beaches or the base of cliffs that have rocky substrate, including cobble, gravel, boulder and bedrock. Rocky shoreline was delineated from color-infrared aerial photographs of the entire Oregon coast shot at minus tides in 1994.
Source Information:
Source Citation:
Citation Information:
Publication Date: 2009
Title: Chlorophyll-a in the Pacific Northwest Marine Ecoregion 1998-2005
Edition: continuoous data
Geospatial Data Presentation Form: raster digital data
Other Citation Details: See 'Data Quality' for citation of source data.
Source Time Period of Content:
Source Citation Abbreviation: Chlorophyll-a density category by assessment unit
Source Contribution:
Chlorophyll-a concentrations characterised during summer months (June-September) from 1998-2005. Derrived from SeaWiffs satelite 1.1km resolution monthly composites of chlorophyll-a.
Chlorophyll-a was mapped across the region from satellite data. Based upon advice from the NEDA Scientific Advisory Board, the continuous values were binned into 5 categories. The raw Chlorophyll-a raster was then reclassified into these bins, and zonal statistics (majority) were used to impute a category to each AU. These bins were then stratified into Marxan targets based upon the divide across the TS/EEZ line resulting in 9 Marxan targets for
chlorophyll-a.
Source Information:
Source Citation:
Citation Information:
Originator: The Nature Conservancy
Publication Date: 2009
Title: Upwelling in the Pacific Northwest Marine Ecoregion 1998-2004
Source Time Period of Content:
Source Citation Abbreviation: Upwelling persistence by assessment unit
Source Contribution:
High persistence upwelling areas characterised during the upwelling season (June-Aug) from 1998-2004. Derrived from AVHRR satelite 1.1km resolution monthly composites of SST.
Satellite imagery from 1998 - 2004 was used to identify upwelling persistence across the study area. Based upon advice from the NEDA Scientific Advisory Board, the continuous values were binned into 2 categories, high persistence and low persistence. The raster was reclassified into these two categories, then zonal statistics were used to impute the majority class to each AU, which was then assigned a "1" denoting presence of upwelling within that class. The upwelling targets were then stratified by the TS/EEZ line to derive the 4 final upwelling targets used in Marxan.
Source Information:
Source Citation:
Citation Information:
Originator: College of Oceanic & Atmospheric Sciences, Oregon State University
Publication Date: 2011
Title: Historical dissolved oxygen data off Oregon: 1950-80
Source Time Period of Content:
Source Citation Abbreviation: Dissolved oxygen category by AU
Source Contribution:
Near-bottom (within10 m or 15% of bottom depth) dissolved Oxygen levels during the late-upwelling-seasons (July-Sept.) of 1950-1980 . Derrived from the National Ocean Data Center's World Ocean Database.
Measurements of dissolved oxygen over a 30 year time span were interpolated to derive estimates of O2 ml / L across the region. Based upon advice from the NEDA Scientific Advisory Board, the continuous values were binned into 3 categories. The raw dissolved oxygen raster was then reclassified into these bins, and zonal statistics (majority) were used to impute a category to each AU. These bins were then stratified into Marxan targets based upon the divide across the TS/EEZ line resulting in 5 Marxan targets for dissolved oxygen.
Process Step:
Process Description:
Each feature class listed in this document was summarized by the assessment units. Four general classes of data were used, each with a slightly different method of interpolation to this planning grid. An overview of those four methods will be given here, but more specific information will be listed for each input in the 'sources' > 'source Citation Detail' portion of this document.
Rasters of continuous data (i.e. PRBO species distributions) were typically resampled to 90 meters. Zonal statistics were then used to impute a min, mean and max value for each assessment unit. Mean values were then normalized and used as the Marxan abundance.
Rasters for continuous data that were binned into categories (i.e. Upwelling) were first reclassified into their categories, then resampled to 90 meters. Zonal statistics were then used to imput a majority value for each assessment unit. The assessment unit was then assigned to the majority bin, and it's abundance was calculated as "1" for presence.
Vectors of probability or density data (i.e. NOAA Southwest Fisheries Science Center Cetacean distributions) were intersected with the planning grid, then an area weighted value was calculated to impute a single abundance value for the AU as (Value1 * Percentage AU of 1) + (Value 2 * Percentage AU of 2)...+ (Value N *Percentage AU of N).
Vectors for discrete physical features (i.e. benthic habitats) were intersected with the planning grid and the area (hectares) of each discrete feature within the AU was calculated.
Abundance values used in Marxan were generally adjusted to a 0- 100 scale. Raw area values, for targets such as benthic habitats and kelp, were calculated in hectares to keep them in a similar range (0 - 256). Values less than 0.01 were not used in the Marxan analysis for any target.
Process Contact:
Contact Information:
Contact Person Primary:
Contact Person: Michael Schindel
Contact Organization: The Nature Conservancy
Contact Position: Director of Conservation Information Systems
Contact Address:
Address Type: mailing and physical address
Address: 821 SE 14th Ave
City: Portland
State or Province: OR
Postal Code: 97214
Country: U.S.A.
Contact Voice Telephone: 503-802-8122
Contact Facsimile Telephone: 503-230-9639
Contact Electronic Mail Address: mschindel@tnc.org
Cloud Cover: 0
Spatial Data Organization Information
Section Index
Direct Spatial Reference Method: Vector
Point and Vector Object Information:
SDTS Terms Description:
SDTS Point and Vector Object Type: G-polygon
Point and Vector Object Count: 21018
Spatial Reference Information
Section Index
Horizontal Coordinate System Definition:
Planar:
Map Projection:
Map Projection Name: Lambert Conformal Conic
Lambert Conformal Conic:
Standard Parallel: 43
Standard Parallel: 45.5
Longitude of Central Meridian: -120.5
Latitude of Projection Origin: 41.75
False Easting: 1312335.958005
False Northing: 0
Planar Coordinate Information:
Planar Coordinate Encoding Method: Coordinate Pair
Coordinate Representation:
Abscissa Resolution: 0
Ordinate Resolution: 0
Planar Distance Units: international feet
Geodetic Model:
Horizontal Datum Name: North American Datum of 1983
Ellipsoid Name: Geodetic Reference System 80
Semi-major Axis: 6378137
Denominator of Flattening Ratio: 298.257
Entity and Attribute Information
Section Index
Detailed Description:
Entity Type:
Entity Type Label: Marxan_SSOL__ALLTARGETS_20111201
Entity Type Definition: Assessment Units for Nearshore Ecological Atlas Marxan Analysis
Entity Type Definition Source: The Nature Conservancy
Attribute:
Attribute Label: ALLTGT_SSO
Attribute Definition: "Sum" solution result. This number depicts how often within 100 runs a planning grid cell was in a best iteration for All Ecological target groups.
Attribute Definition Source: The Nature Conservancy
Attribute:
Attribute Label: AUSPATID
Attribute Definition:
Unique integer id used as primary identifier of assessment unit in all Marxan scenarios. This is also the primary key to relate these polygons with the tabular lists of the species, habitats and oceanographic processes found within them as listed in the TGTxAU table. The value for this field was inherited from the original NOAA planning grid "GRID_ID".
Attribute Definition Source: The Nature Conservancy
Attribute:
Attribute Label: FID
Attribute Definition: Internal feature number.
Attribute Definition Source: ESRI
Attribute Domain Values:
Unrepresentable Domain: Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute Label: Shape
Attribute Definition: Feature geometry.
Attribute Definition Source: ESRI
Attribute Domain Values:
Unrepresentable Domain: Coordinates defining the features.
Overview Description:
Entity and Attribute Overview:
This dataset contains attributes that are required for assessment units in a Marxan analysis (status, costs, id, etc.), information on zones used for stratification (territorial sea vs EEZ), and outputs (best and sum solutions) for a variety of target combinations.
Entity and Attribute Detail Citation: The Nature Consevancy
Distribution Information
Section Index
Resource Description: Downloadable Data
Standard Order Process:
Digital Form:
Digital Transfer Information:
Available Time Period:
Time Period Information:
Single Date/Time:
Calendar Date: 1/1895
Time of Day: Unknown
Metadata Reference Information
Section Index
Metadata Date: 2/29/2012
Metadata Review Date:
Metadata Future Review Date:
Metadata Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: Oregon Coastal Management Program
Contact Person: Tanya C. Haddad
Contact Position: Coastal Atlas Administrator
Contact Address:
Address Type: mailing and physical address
Address: 800 NE Oregon St
City: Portland
State or Province: OR
Postal Code: 97232
Country: USA
Contact Voice Telephone: 9716730962
Metadata Standard Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata Standard Version: FGDC-STD-001-1998
Metadata Time Convention: local time
SMMS Metadata report generated 2/29/2012