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Sierra Nevada Landbirds Fire Analysis Monitoring Data Package, 1999-2019

Metadata Updated: May 11, 2025

This dataset represents inputs for a hierarchical Bayesian model of bird population density with respect to fire history in Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI). The model uses avian point-count data, fire history data and biophysical metrics to assess localized bird population response to years-since-fire and burn severity at thousands of locations across these parks (Ray et al. 2025). Avian point-count time series were generated by The Institute for Bird Populations in collaboration with the Sierra Nevada Inventory and Monitoring Network (SIEN) of the U.S. National Park Service (Siegel & DeSante 2002, Siegel & Wilkerson 2005, Siegel et al. 2010). Fire dates and boundaries were provided by SIEN staff. Biophysical data were accessed from on-line repositories (LANDFIRE and LEMMA GNN). For more information, please refer to Ray et al. 2025.

LANDFIRE 2020. 2020. Biophysical Settings (BPS) CONUS. LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey. Accessed 19 May 2023, at https://www.landfire.gov/viewer/.

Ray C. 2025. SIEN birds and fire. GitHub repository, https://github.com/birdpop/firebird.

Ray C, Siegel RB, Wilkerson RL, Schofield L, Tingley MW, Aronson S, Haultain S, Stock S, van Wagtendonk K. Fire gives avian populations a rapid and enduring boost in protected forests of California.

Siegel RB, DeSante DF. 2002. Avian inventory of Yosemite National Park (1998-2000). Report to Yosemite National Park. The Institute for Bird Populations, Point Reyes Station, CA. https://irma.nps.gov/DataStore/Reference/Profile/569146.

Siegel RB, Wilkerson RL. 2005. Landbird inventory for Sequoia and Kings Canyon National Park (2003-2004). Report to Sequoia and Kings Canyon National Parks. The Institute for Bird Populations, Point Reyes Station, CA. https://irma.nps.gov/DataStore/Reference/Profile/627505.

Siegel RB, Wilkerson RL, Goldin Rose M. 2010. Bird monitoring protocol for national parks in the Sierra Nevada Network. Natural Resource Report NPS/SIEN/NRR—2010/231. National Park Service, Fort Collins, Colorado. https://irma.nps.gov/DataStore/Reference/Profile/2124954

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

Downloads & Resources

References

https://irma.nps.gov/DataStore/Reference/Profile/2308571

Dates

Metadata Created Date May 11, 2025
Metadata Updated Date May 11, 2025

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 11, 2025
Metadata Updated Date May 11, 2025
Publisher National Park Service
Maintainer
@Id http://datainventory.doi.gov/id/dataset/b8f44a0295270ff8a56f34ab2286968a
Identifier NPS_DataStore_2308571
Data First Published 2025-02-26T12:00:00Z
Data Last Modified 2025-02-26
Category Data Package
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://datainventory.doi.gov/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
Data Quality True
Harvest Object Id e599d115-c1b3-48e9-8c85-8f353b6c06f1
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2308571
License http://www.usa.gov/publicdomain/label/1.0/
Old Spatial -119.8864,36.2914,-118.2348,38.1851
Program Code 010:118, 010:119
Publisher Hierarchy White House > U.S. Department of the Interior > National Park Service
Related Documents https://irma.nps.gov/DataStore/Reference/Profile/2308571
Source Datajson Identifier True
Source Hash 094cb614fede486dd5b98cbc2a3cfd88401c5a8322804f9fde22f2443c061ac0
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -119.8864, 36.2914, -119.8864, 38.1851, -118.2348, 38.1851, -118.2348, 36.2914, -119.8864, 36.2914}
Temporal 1999-05-19T12:00:00Z/2019-07-23T12:00:00Z

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