Short Citation:
Office for Coastal Management, 2021: Nitrate Mean Concentration, https://www.fisheries.noaa.gov/inport/item/59972.

Item Identification

Title: Nitrate Mean Concentration
Status: Completed
Abstract:

Nutrient data were obtained from the Bio-ORACLE project and represent a long-term composite of data from 2000 to 2014. The map layer represents mean nitrate concentration (micromoles per liter) in surface waters of the U.S. Exclusive Economic Zone. Additional data available for download here provide six nutrient concentrations at three different depths within the water column (surface, mean depth, and maximum depth). Data have a common spatial resolution of 5 arc minutes and were assessed using a cross‐validation framework against in situ quality‐controlled data.

Purpose:

To support coastal and ocean planning and other activities pursuant to the Energy Policy Act, Coastal Zone Management Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act.

Supplemental Information:

The native coordinate system for this layer is WGS 1984 World Mercator (ESPG: 3395). Please note: all MarineCadastre.gov data served by the NOAA Office for Coastal Management and hosted through Esri REST services are in the WGS 1984 Web Mercator Auxiliary Sphere (EPSG: 3857) projection.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords Earth Science > Human Dimensions > Environmental Governance/Management
ISO 19115 Topic Category environment
ISO 19115 Topic Category farming
ISO 19115 Topic Category oceans
ISO 19115 Topic Category planningCadastre
None alternative energy planning
None biogeographic
None coastal energy planning
None ecosystem
None environment
None environmental
None environmental energy planning
None farming
None marine cadastre
None marine spatial planning
None modeled
None nitrate
None nutrient
None ocean
None ocean energy planning
None offshore energy planning
None planningCadastre
None renewable energy planning

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America
None Alaska
None Atlantic
None East Coast
None Gulf of Mexico
None Hawaii
None Pacific
None United States
None West Coast

Physical Location

City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: Map (digital)
Distribution Liability:

NOAA makes no warranties or representations whatsoever regarding the availability, quality, accuracy, content, completeness or suitability for the user's needs of such information. The services, information, and data made available on the Marine Cadastre web site are provided "as is" without warranties of any kind. These data are intended for coastal and ocean use planning. Not for navigation. https://www.marinecadastre.gov/about/disclaimer.html

Data Set Credit: ORIGINATORS: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS), Office for Coastal Management (OCM); Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS);

Support Roles

Data Steward

CC ID: 910430
Date Effective From: 2020-06
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 910431
Date Effective From: 2020-06
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 910433
Date Effective From: 2020-06
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 910432
Date Effective From: 2020-06
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Publication Date

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 910443
W° Bound: -180
E° Bound: 180
N° Bound: 74.75
S° Bound: -17.58305555556

Access Information

Security Class: Unclassified
Data Use Constraints:

NOAA makes no warranties or representations whatsoever regarding the availability, quality, accuracy, content, completeness or suitability for the user's needs of such information. The services, information, and data made available on the Marine Cadastre web site are provided "as is" without warranties of any kind. These data are intended for coastal and ocean use planning. Not for navigation. https://www.marinecadastre.gov/about/disclaimer.html

Distribution Information

Distribution 1

CC ID: 910435
Download URL: ftp://ftp.coast.noaa.gov/pub/MSP/ORT/NitrateMeanConcentration.zip
Distributor:
Description:

Data access URL

Distribution 2

CC ID: 910434
Download URL: https://coast.noaa.gov/arcgis/rest/services/OceanReportingTool/NitrateMeanConcentration/MapServer
Distributor:
File Name: Map Service
Description:

Data access URL

URLs

URL 1

CC ID: 910436
URL: https://marinecadastre.gov/oceanreports
Name: Ocean Reports
URL Type:
Online Resource
Description:

More information and online data visualization.

Technical Environment

Description:

Esri ArcGIS 10.4.1.5686

Data Quality

Accuracy:

The attributes in this dataset are believed to be accurate.

Horizontal Positional Accuracy:

Maximum scale of intended use is 1:80,000.

Completeness Report:

Spatial and attribute properties are believed to be complete, although attribute information has been simplified. Geometric thresholds from original data are preserved. No tests have been completed for exhaustiveness.

Conceptual Consistency:

These data are believed to be logically consistent. Geometry is topologically clean.

Lineage

Sources

Bio-ORACLE: Marine Data Layers for Ecological Modelling

CC ID: 910440
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: Bio-ORACLE
Extent Type: Discrete
Extent Start Date/Time: 2020-02-01
Citation URL: http://www.bio-oracle.org/downloads-to-email.php
Citation URL Name: Source Online Linkage
Citation URL Description:

URL where the source data were originally accessed.

Source Contribution:

Provided modeled nitrate data at depth for the US EEZ.

Process Steps

Process Step 1

CC ID: 910441
Description:

1) Data sets were derived from Bio‐ORACLE (ocean rasters for analysis of climate and environment) global data set.

2) Nitrate concentrations (micromoles per litre) are reported as six statistical measures including Lt. Max, Lt. Min, Min, Max, mean, and range over three depths (surface, mean, maximum). *Lt. (long-term) for average of the minimum and maximum records per year (e.g., temperature of the warmest month, on average). For the Marine Cadastre National Viewer, only the mean surface depth concentration is displayed as an example.

3) The Bio-ORACLE “Present data set” (2000 - 2014) was downloaded as Tiff Raster files (.tif) using Bio-ORACLE’s download manager.

4) This surface and benthic layers, for each of the three nutrients were then entered as a geodatabase into ArcGIS 10.7. Each .tif file was then clipped to the United States Exclusive Economic Zone (EEZ) using the marinecadastre.gov EEZ shapefile.

5) Data were then given a continuous color schema to avoid issues with color-blind audiences (e.g. red to green) over the range of data values for each statistical measure. The lighter shade of a color represents areas with lower nitrate concentrations relative to the darker shades where higher nitrate values occur.

6) Surface, mean, and maximum concentration values were QA/QC’ed for any elements lacking in the data description or attributes, illogical values, spatial accuracy, and overall consistency across the data within the US EEZ.

7) Each data layer was then projected to WGS 1984 Web Mercator Auxiliary Sphere (EPSG: 3857) projection

8) Permission to use this data was received from the authors prior to use in marinecadastre.gov. Comparisons were also made to the ESRI Ecological Marine Unit (EMU) nutrient data where spatial overlap occurred, to ensure likeness in data over geographical space.

9) The Bio-ORACLE data are modeled and have been statistically downscaled and therefore have inherit biases associated with these types of analyses occur. However, methodology implemented here create a more spatially resolved data set for nutrients in US waters than any other known by the authors. However, these data lack high temporal resolution.

10) While the Bio-Oracle Nutrient data may have higher horizontal spatial resolution, the Esri EMU data has higher number of depth levels (102 depth levels). There are pros and cons of both data sets and users are recommended to compare the data sets before deciding which is best for their own analyses.

11) The pros to the ESRI EMU nutrient data is data are present over 102 depth levels, and can be used to statistically differentiate different portions of the water column. The cons lie its course spatial resolution, no temporal component, and no nearshore values (as of 2020). Sayre et al. (2019) (https://www.tandfonline.com/doi/full/10.1080/1755876X.2018.1529714 ) are working towards coastal EMUs, which will increase the spatial coverage of the EMU data. It is recommended that users view the pros and cons of applying the various data sets (Bio-ORACLE vs. EMU) to their own analyses.

More information about methodology used can be found in these resources:

Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography.

Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281.

Process Date/Time: 2020-01-01 00:00:00

Catalog Details

Catalog Item ID: 59972
Metadata Record Created By: Jesse Brass
Metadata Record Created: 2020-06-08 14:19+0000
Metadata Record Last Modified By: Jesse Brass
Metadata Record Last Modified: 2020-06-08 21:01+0000
Metadata Record Published: 2020-06-08
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2021-06-09