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

Glacier Bay, Alaska murrelet survey abundance estimates (KM_K) for survey year 2022

Metadata Updated: November 25, 2025

Tabular data in CSV form of marbled and Kittlitz's murrelet population status and trend estimates made during the SEAN monitoring program. A zip package containing three files is created for each survey. "Distance_Output_yyyy.csv" holds detection function parameters used for input. "Encounter_Rates_yyyy.csv" holds calculated encounter rates for each transect. "R_Output_yyyy.csv" holds estimates of encounter rate, density, and abundance by species for both status and trend - along with measures of statistical performance and confidence intervals for each.

This data product has been compared against the formal quality criteria specified in the protocol in use at the time of product creation, found to be in complete compliance, and accepted by the program lead for public dissemination. Deliverable KM_K is fully defined in the protocol document package available at NPS Data Store reference 2204691.

Please refer to the synthesis and program review report for monitoring of Kittlitz's murrelets in Glacier Bay National Park and Preserve which contains important findings that may affect the interpretation of abundance estimates (Hoekman, S. T. 2019. Kittlitz’s murrelet monitoring in Glacier Bay National Park and Preserve 2010–2018: Synthesis and program review. Natural Resource Report NPS/SEAN/NRR—2019/1957. National Park Service, Fort Collins, Colorado, https://irma.nps.gov/DataStore/Reference/Profile/2265288).

The report summarizes the results of murrelet monitoring from 2010-2018, assesses monitoring performance and capacity to meet protocol objectives, and provides recommendations for potential enhancements to the monitoring protocol. Hoekman (2019) identifies misidentification and partial identification of murrelets which can bias abundance estimation and spatially-explicit density estimates, particularly for rare species, such as Kittlitz’s murrelets.

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 12, 2025
Metadata Updated Date November 25, 2025

Metadata Source

Harvested from DOI NPS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 12, 2025
Metadata Updated Date November 25, 2025
Publisher National Park Service
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/nps-datastore-2300032
Data First Published 2023-07-28T00:00:00Z
Data Last Modified 2023-07-28T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:24
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/nps-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 1c59927f-ac54-4cfd-b585-cc9a406bfe80
Harvest Source Id d917c1a9-26b7-43ea-b8c5-c77ec750a850
Harvest Source Title DOI NPS DCAT-US
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2300032
Metadata Type geospatial
Program Code 010:119, 010:118
Source Datajson Identifier True
Source Hash 4a42c274968e60e6fafb488176e8e3042d3f786f9fd393f968e11e279794f5ca
Source Schema Version 1.1

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