Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Coastal Marten Extant Population Areas (U.S. Fish and Wildlife Service, version 20180206)

Metadata Updated: September 11, 2025

The following is an excerpt from the U.S. Fish and Wildlife Service species status assessment report for the coastal marten (Martes caurina), Version 2.0 (July 2018); refer to this report for additional details:

4.2 Current Range and Distribution (1980–current)

All current (since 1980) verifiable marten detections were used to delineate extant population areas (EPAs) within the historical home range. The number of detections available to guide the delineation of the boundaries of the EPAs varied across the analysis area (Figure 4.2). In addition, sampling techniques varied across the range. Marten detections were buffered by 2 km and connected using a minimum convex polygon tool. Similar to methods used in the Humboldt Marten Conservation Strategy and Assessment, a 2 km buffer distance was used because most coastal marten survey and monitoring grids use a 2–km grid spacing, thus to feel confident about where animals do not occur, one would need to survey the next grid point without detections. If the total number of detections in an area was less than 5 or they were separated by greater than 5 km from other verifiable detections, the combined detections were not designated as an EPA due to the insufficient level of information to suggest a likely self–sustaining population (Slauson et al., In review, Slauson et al., In press). Because some detections did not meet this definition of a population they appear on Figure 4.3 as points but are not included in the population areas.

Based on the distributions of current verifiable marten detections and adjacent suitable habitat, we identified four EPAs within coastal Oregon and northern coastal California (Figures 4.3):

1) Central Coastal Oregon Extant Population Area (CCO_EPA)

2) Southern Coastal Oregon Extant Population Area (SCO_EPA)

3) Oregon–California Border Extant Population Area (CAOR_EPA)

4) Northern Coastal California Extant Population Area (NCC_EPA)

This dataset contains the four EPAs described in the SSA excerpt above.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date September 11, 2025
Metadata Updated Date September 11, 2025

Metadata Source

Harvested from DOI FWS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 11, 2025
Metadata Updated Date September 11, 2025
Publisher U.S. Fish and Wildlife Service
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/fws-servcat-146374
Data First Published 2018-02-06T00:00:00Z
Data Last Modified 2018-02-06T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:18
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/fws-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id f48bb954-39b6-4146-b5a0-6ca872518ef5
Harvest Source Id f51f1f6c-4e4a-4e0a-b4e3-a5577c6dcc19
Harvest Source Title DOI FWS DCAT-US
Homepage URL https://iris.fws.gov/APPS/ServCat/Reference/Profile/146374
Metadata Type geospatial
Old Spatial -124.61,41.24,-123.49,44.31
Program Code 010:094, 010:028
Source Datajson Identifier True
Source Hash f76b6ed59d3c7e790face1ac566b582103184c233bc4637693a19b40c7b0c0b9
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -124.61, 41.24, -124.61, 44.31, -123.49, 44.31, -123.49, 41.24, -124.61, 41.24}

Didn't find what you're looking for? Suggest a dataset here.