Description
This dataset represents seabird diversity 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 the annual predicted seabird Shannon diversity index. The Shannon index incorporates both presence and relative abundance. Species and groups that were not modeled in any season did not contribute to index calculation.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Citation URL | Unknown | Online Resource | Open resource |
| http://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip | ZIP | Offline Data | Open resource |
| Global Change Master Directory (GCMD) Keywords | Unknown | The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. | Open resource |
| Full Metadata Record | Unknown | View the complete metadata record on InPort for more information about this dataset. | Open resource |
| NOAA Data Management Plan (DMP) | NOAA Data Management Plan for this record on InPort. | Open resource |
Tags
- doc/noaa/nos/nccos
- environment
- environmental monitoring
- long island
- long-term average determined by input data
- mid-atlantic
- model
- national centers for coastal ocean science
- national ocean service
- new york
- new york bight
- new york offshore planing area
- noaa
- northwest atlantic ocean
- ny_spatialplan
- oceancommunity
- prediction
- seabird
- shannon diversity index
- spatial planning
- uncertainty
- u.s. department of commerce