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Short Citation:
National Centers for Coastal Ocean Science, 2022: NOAA ESRI Grid - predictions of relative uncertainty for seabird diversity metrics in the New York offshore planning area by NOAA Biogeography Branch, https://www.fisheries.noaa.gov/inport/item/38958.

Item Identification

Title: NOAA ESRI Grid - predictions of relative uncertainty for seabird diversity metrics in the New York offshore planning area by NOAA Biogeography Branch
Short Name: New_York_Seabird_Error
Status: Completed
Publication Date: 2012-05
Abstract:

This dataset represents relative seabird abundance predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from multiple individual species season models. The model also includes spatially-explicit uncertainty estimates represented in another raster dataset. Raster values represent a dimensionless number scaled between 0 and 1, where values closer to 0 indicate greater certainty. The relative uncertainty value at each location is the same for all hotspot quantities (abundance, richness, and diversity index), because it is a function of the underlying trend and spatial model uncertainty for each species/group.

Purpose:

These seabird diversity predictions were developed to be viewed along with model uncertainty estimates. Together seabird abundance predictions and uncertainty estimates were made to identify seabird hotspots and coldspots. These data are intended to support offshore spatial planning.

Notes:

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Keywords

Theme Keywords

Thesaurus Keyword
UNCONTROLLED
Geospatial Platform OceanCommunity
ISO 19115 Topic Category environment
ISO 19115 Topic Category oceans
NOS Data Explorer Topic Category Bathymetry/Topography
None environment
None model
None New York
None prediction
None relative abundance
None seabird
None shannon index
None spatial planning
None species number
None species richness
None uncertainty

Temporal Keywords

Thesaurus Keyword
UNCONTROLLED
None Long-term average determined by input data

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
None Long Island
None Mid-Atlantic
None New York Bight
None New York Offshore Planing Area
None Northwest Atlantic Ocean

Physical Location

Organization: National Centers for Coastal Ocean Science
City: Silver Spring
State/Province: MD

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Data Presentation Form: raster digital data
Entity Attribute Overview:

Raster values correspond to estimates of relative uncertainty in shannon index, summed abundance and species number seabirds models. Estimates are based on a spatial statistical model developed using seabird sighting data.

Entity Attribute Detail Citation:

For more information see Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp.

Distribution Liability:

These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials.

Data Set Credit: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow

Support Roles

Data Steward

CC ID: 452694
Date Effective From: 2012-05
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Distributor

CC ID: 452696
Date Effective From: 2012-05
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Metadata Contact

CC ID: 452697
Date Effective From: 2012-05
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Point of Contact

CC ID: 452695
Date Effective From: 2012-05
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Principal Investigator

CC ID: 452698
Date Effective From: 2012-05
Date Effective To:
Contact (Person): Menza, Charles
Address: 1305 East-West Hwy
Silver Spring, MD 20910
Email Address: Charles.menza@noaa.gov
Phone: 240-533-0372
Fax: 301-713-4388

Extents

Currentness Reference: 201205

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 452701
W° Bound: -75
E° Bound: -69
N° Bound: 42
S° Bound: 37

Extent Group 1 / Time Frame 1

CC ID: 452700
Time Frame Type: Discrete
Start: 2012-05

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 585276
Dimension Count: 3
Cell Geometry: Area
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 450

Axis Dimension 2

Dimension Type: Column
Size: 496

Axis Dimension 3

Dimension Type: Vertical
Size: 1

Access Information

Security Class: Unclassified
Data Access Procedure:

Contact Distributor for instructions on how to acquire dataset.;

Data Access Constraints:

Data not yet available online.

Data Use Constraints:

Please reference NOAA/NOS/NCCOS/CCMA/Biogeography Branch when utilizing these data in a report or peer reviewed publication. Additionally, knowledge of how this dataset has been of use and which organizations are utilizing it is of great benefit for ensuring this information continues to meet the needs of the management and research communities. Therefore, it is requested but not mandatory, that any user of this data supply this information to the Project Manager: Charles Menza (charles.menza@noaa.gov)

Distribution Information

Distribution 1

CC ID: 452702
Download URL: http://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip
Distributor:
Description:

Offline Data

File Type: zip file

URLs

URL 1

CC ID: 452693
URL: http://coastalscience.noaa.gov/projects/detail?key=80
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 452726
Activity Date/Time: 2015-05-27
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 452725
Activity Date/Time: 2017-04-05
Description:

Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 585274
Activity Date/Time: 2017-09-13
Description:

Partial upload of Spatial Info section only.

Activity Log 4

CC ID: 600537
Activity Date/Time: 2017-11-01
Description:

Replaced entire Lineage section to populate new Source Contribution field.

Activity Log 5

CC ID: 716591
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Data Quality

Horizontal Positional Accuracy:

The accuracy of this raster depends on the source and resolution of the data samples. See the following report for more information: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp.

Completeness Report:

The following reference provides information on omissions, selection criteria, generalization, definitions used, and other rules used to derive the data set: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp.

Conceptual Consistency:

All users should independently analyze the dataset according to their own needs and standards to determine data usability.

Lineage

Sources

Seabird and Cetacean Assessment Program

CC ID: 600538
Contact Name: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS) and Manomet Bird Observatory.
Publish Date: 2011-04-21
Extent Type: Discrete
Extent Start Date/Time: 2011-04-21
Citation URL: http://seamap.env.duke.edu/
Source Contribution:

Seabird survey data was used as input to a predictive model. This raster dataset is output from the predictive model. | Source Geospatial Form: vector digital data | Type of Source Media: online

Process Steps

Process Step 1

CC ID: 600539
Description:

Seabird sightings in conjunction with environmental covariates were used to fit spatial statistical models and produce predictive maps of seabird distribution and relative abundance in the NY region representative of the period from 1980-1988. Individual species were modeled in 4 seasons when sufficient data was available. We calculated a weighted average of the relative uncertainty associated with each annual and seasonal predicted sighting-per-unit-effort map. Weights used were proportional to the frequency of the species in the corresponding season or year. See the following report for more information on this layer's lineage. Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow (eds.). 2012. A Biogeographic Assessment of Seabirds, Deep Sea Corals and Ocean Habitats of the New York Bight: Science to Support Offshore Spatial Planning. NOAA Technical Memorandum NOS NCCOS 141. Silver Spring, MD. 224 pp.

Process Date/Time: 2012-05-01 00:00:00
Source: Seabird and Cetacean Assessment Program

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity Estimated seabird diversity uncertainty

Catalog Details

Catalog Item ID: 38958
GUID: gov.noaa.nmfs.inport:38958
Metadata Record Created By: Tyler Christensen
Metadata Record Created: 2017-04-05 12:50+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2018-02-08
Owner Org: NCCOS
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-02-08
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-02-08