Grand Canyon National Park FFI Fire Effects Monitoring Data

Metadata Updated: January 29, 2020

Fire effects monitoring data collected at Grand Canyon National Park in the National Park Service Intermountain Region. Additional data collected on the North Kaibab Ranger District of the Kaibab National Forest are also included. The data were collected by the fire effects monitoring crew primarily between May and December from 1990 to 2018. Data collection history and protocols are described in Bunn, W. 2010. Grand Canyon National Park Wildland and Prescribed Fire Monitoring and Research Plan. Two types of plot monitoring protocols are represented in this database--NPS Fire Monitoring Handbook (FMH, 2003) permanent plots and Grand Canyon National Park rapid assessment protocol (RAP) semi-permanent plots.

Data collected from the 50 x 20 m FMH forest plots include tree inventory to obtain density and basal area, fuel load using Brown's method for inventorying surface fuels and biomass, seedling tree density, shrub density, and herbaceous species cover and richness measured via 50 meter point intercept transects. In addition, post-fire assessments are conducted of burn severity to vegetation and substrates and scorch and char of trees. Photographs are taken from eight locations in the plot to document change.

Data collected from the 10 m radius RAP plots include tree inventory to obtain density and basal area, fuel load using Brown's method for inventorying surface fuels and biomass, seedling tree density, shrub cover, and herbaceous species cover. In addition, post-fire assessments are conducted of burn severity to vegetation and substrates and scorch and char of trees. Photographs are taken from four locations in the plot to document change.

Access & Use Information

Restricted: This dataset can only be accessed or used under certain conditions. 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.
The information resource is proprietary and/or copyrighted. Access to this information by the public is very limited. Please contact the associated Point of Contact regarding additional use constraints and requirements for obtaining the information.

Downloads & Resources

References

https://irma.nps.gov/DataStore/Reference/Profile/2259519

Dates

Metadata Created Date January 29, 2020
Metadata Updated Date January 29, 2020

Metadata Source

Harvested from DOI Open Data

Additional Metadata

Resource Type Dataset
Metadata Created Date January 29, 2020
Metadata Updated Date January 29, 2020
Publisher National Park Service
Unique Identifier NPS_DataStore_2259519
Maintainer
NPS IRMA Help
Maintainer Email
Public Access Level restricted public
Bureau Code 010:24
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID C:\Program Files (x86)\NPS\DataStore\Application\OpenData\NPS_DataStore_v1_1.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 6a610db3-6dad-49a4-8e0d-34e64de44b63
Harvest Source Id 5b7e4031-1e2d-428b-92e2-56554bbd7371
Harvest Source Title DOI Open Data
Data First Published 2019-03-14
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2259519
Data Last Modified 2019-03-14
Program Code 010:118, 010:119
Related Documents "https://irma.nps.gov/DataStore/Reference/Profile/2259519"
Rights The information resource is proprietary and/or copyrighted. Access to this information by the public is very limited. Please contact the associated Point of Contact regarding additional use constraints and requirements for obtaining the information.
Source Datajson Identifier true
Source Hash 22aaa221d7ff842842d74c3893dfa1da51ee04d9
Source Schema Version 1.1
Spatial -113.9799,35.75028,-111.5871,36.86543
Temporal 1990-05-01/2018-12-01
Category "Generic Dataset"

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