71be383b-ad19-4252-9c01-cfad3216a0ca
The Nature Conservancy in New Mexico
20100930
Wildfire Risk Main Model
1st Edition
raster digital data
https://gstore.unm.edu/apps/rgisarchive/datasets/71be383b-ad19-4252-9c01-cfad3216a0ca/main_model_fr.original.zip
https://gstore.unm.edu/apps/rgisarchive/datasets/71be383b-ad19-4252-9c01-cfad3216a0ca/metadata/FGDC-STD-001-1998.xml
https://gstore.unm.edu/apps/rgisarchive/datasets/71be383b-ad19-4252-9c01-cfad3216a0ca/metadata/FGDC-STD-001-1998.html
https://gstore.unm.edu/apps/rgisarchive/datasets/71be383b-ad19-4252-9c01-cfad3216a0ca/metadata/ISO-19115:2003.xml
https://gstore.unm.edu/apps/rgisarchive/datasets/71be383b-ad19-4252-9c01-cfad3216a0ca/metadata/ISO-19115:2003.html
The model combines three modeled fire behavior parameters (rate of spread,
flame length, crown fire potential) and one modeled ecological health measure (fire
regime condition class) with wildland urban interface areas and ignition
probability. Fire behavior parameters were modeled using FlamMap; fire regime
condition class was modeled using the FRCC tool; wildland urban interface areas were
delineated using spatial data from the county level community wildfire protection
plans within the state; and ignition probabilities were derived using fire history
locations from 1987-2008. For a detailed description of each parameter, refer to the
data atlas found at
http://allaboutwatersheds.org/groups/SAS/public/data-atlases.
This data layer identifies areas with a relatively high risk of destructive
wildfire. The intent of this layer is to identify areas where forest management is
most likely to reduce the risk of wildfire damage (or reduce the impact of wildfire
on natural resources, and human infrastructure and development).
2009
publication date
As needed
-109.324845
-102.936542
37.065742
31.320252
ISO 19115 Topic Categories
environment
Fire behavior (FlamMap - crownfire potential, rate of spread, flame length)
NM Statewide Natural Resources Assessment
Wildfire Risk
Spatial Reference System Identifiers
EPSG:4269
EPSG:7019
EPSG:26713
GNIS
New Mexico
Unknown
2009
None
All data is provided "as is." Energy Minerals and Natural Resources Department,
Forestry Division makes no representation or warranty as to the completeness, accuracy
or utility of any specific data. It is strongly recommended that careful attention be
paid to the contents of the metadata file associated with this data
EMNRD, Forestry Division
Trent Botkin
GIS Specialist
mailing and physical address
1220 St. Francis Drive
Santa Fe
NM
87505
505-476-3346
trent.botkin@state.nm.us
The Nature Conservancy in New Mexico
Microsoft Windows Vista Version 6.1 (Build 7600) ; ESRI ArcCatalog
9.3.1.3000
The accuracy has not been statistically determined
All data layers were reviewed qulaitiatively on screen by the technical team.
Technical team members included: Bill Armstrong - USFS, Santa Fe National Forest Bill
Van Bruggen - USFS, Region 3 Bruce Bauer - Santa Clara Pueblo Craig Allen - USGS, Jemez
Biological Station Doug Boykin - EMNRD - NM State Forestry Fred von Bonin - BIA Hal
Luedtke - BIA Harold Riggs - USFS Jennifer Myslivy - BLM John Tunberg - NRCS Joy
Esparsen - NM Association of Counties Kent Reid - NM Highlands University Linda Gaume
Jaramillo - NM Municipal League Mary Stuever - EMNRD - NM State Forestry Melissa Savage
- Four Corners Institute Steve Cary - EMNRD, NM State Parks Terrell Treat - EMNRD - - NM
State Forestry
This layer has been developed for the State Strategy and Response plan to help
prioritize areas which will minimize potential and reduce impact of wildfire. Fire
behavior inputs were modeled using FlamMap, an interagency fire behavior mapping and
analysis program that computes potential fire behavior characteristics. The tool uses
eight spatial input data layers to represent biophysical conditions and weather
parameters to simulate wind and fuel moisture conditions. The spatial input layers were
created by Landscape Fire and Resource Management Planning Tools Project (LANDFIRE) and
include elevation, slope, aspect, canopy closure, fuel model 40 (using 40 fuel models
described by Scott and Burgan, 2005), canopy base height, and canopy bulk density. The
fire behavior outputs were qualitatively evaluated for accuracy on screen by the
technical team.. Crown fire potential matched what experts expected; flamelengths in
general matched expectations except in the Saramento Mountains area where it was noted
that they were lower; rate of spread in general was hogher than expected across the
entire state. FRCC was modeled using an ArcGIS tool developed by the National
Interagency Fuels, Fire, and Vegetation Technology Transfer (NIFFT) project. The tool
uses two GIS data layers created by LANDFIRE including biophysical setting and
succession class to evaluate current condition. The tool then compares current condition
to a database of historic conditions to derive relative departure of vegetation and
structure. All data layers were downloaded from landfire.gov in 2009. FRCC was
considered to be an ineffective measure of ecological health. As such the values were
weighted lower in the model. FRCC 2 given value of 1, FRCC 3 given value of 2;
everything else a value of 0 USFS, State Forestry, BLM, and DOI fire occurrence point
locations from 1987 to 2008 were combined and converted into a fire occurrence
probability or density grid using the point statistic spatial analyst tool in ArcGIS.
The fire occurrence point data was supplied by NM State Forestry, BLM, BIA, and USFS.
Data considered good approximation of probability of ignitions. The USFS, Silvis Lab
developed a statewide WUI layer (see metadata for more information). New Mexico State
Forestry provided Community Wildfire Protection Plans, developed by individual counties
and communities. These plans identified WUI areas. CWPPs for 26 of 33 counties have been
completed and are available. The Silvis WUI and CWPP WUI layers were combined, except
where county CWPPs had identified the entire county as a WUI. These large CWPP
identified WUI areas were removed because the technical team did not want to bias the
statewide prioritization towards counties that had taken a more general approach to
identifying WUI and away from counties that had identified smaller WUI areas. For this
reason, the technical team recommended removal of large blocks of CWPP identified WUI
areas in Torrance and Socorro County as well. However, it is important to note that the
CWPP identified WUI areas that were removed should be still be considered priorities for
planning, particularly at county level.
Unknown
2010
Volume II - Data Atlases: Methods and Descriptions of Core Data
Models Used in the Development of the Statewide Natural Resource
Assessment
1st Edition
atlas
http://allaboutwatersheds.org/groups/SAS/public/data-atlases
9999
Unknown
Unknown
publication date
Unknown
Unknown
Process steps for each input and the overall model are more fully
described in the data
atlas.http://allaboutwatersheds.org/groups/SAS/public/data-atlases
Unknown
Metadata imported.
20100330
140724
Dataset copied.
20100402
085728
United States
Raster
8 bit unsigned integer
Grid Cell
21000
18949
1
0.00000001
0.00000001
Decimal degrees
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
main_model_fr.vat
This data layer identifies areas with a relatively high risk of destructive
wildfire. The intent of this layer is to identify areas where forest management
is most likely to reduce the risk of wildfire damage (or reduce the impact of
wildfire on natural resources, and human infrastructure and
development).
The Nature Conservancy in New Mexico - 2009
Rowid
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
VALUE
Unknown
The Nature Conservancy in New Mexico
Unknown
COUNT
Unknown
The Nature Conservancy in New Mexico
Unknown
ACRES
Acres
The Nature Conservancy in New Mexico
Count*900*.000247
MAIN_RECLASS
Priority class for wildfire risk model
The Nature Conservancy in New Mexico
Natural breaks classification of summ of all model inputs (crown fire
potential, flame length, rate of spread, FRCC, ignition probability, WUI)
reclassified into 5 clasees with 1 indicating low wildfire risk and 5 indicating
high wildfire risk.
MAIN_SUM
combine sum of all wildfire risk model inputs
The Nature Conservancy in New Mexico
Sum of all reclassified wildfire model inputs (crown fire potential, flame
length, rate of spread, FRCC, WUI, and ignition probability.
CFA_RE
Crown Fire Potential
The Nature Conservancy in New Mexico
0
No Crown Fire Potential Crown fire potential was modeled using FlamMap, an interagency fire
behavior mapping and analysis program that computes potential fire behavior
characteristics. The tool uses eight spatial input data layers to represent
biophysical conditions and weather parameters to simulate wind and fuel moisture
conditions. The spatial input layers were created by Landscape Fire and Resource
Management Planning Tools Project (LANDFIRE) and include elevation, slope,
aspect, canopy closure, fuel model 40, canopy base height, and canopy bulk
density. The weather parameters were collected from the RAWS weather stations in
New Mexico. Crown fire potential was modeled by individual fire zones, created
by the Southwest Coordination Center (SWCC) then combined using the mosaic to
new raster function in ArcGIS. The weather data for the northern and western
fire zones (101, 102, 103, 109, 110, and 113) represents the average early
summer (May and June ) conditions; the weather data for the eastern fire zones
(104, 108, 114, 115) represents the average early spring (March and April )
conditions; and the weather data for the southern and central fire zones (105,
106, 107, 111, 112) represents the average spring (April and May) conditions.
The Flam Map model result classifies crown fire potential into three categories:
surface fire, passive crown fire, and active crown fire. The technical team
recommended that the result be grouped into two categories: 1. areas with no
crown fire potential =0 and 2. areas with crown fire potential = 5
FlamMap derived crown firre potential
5
Crown Fire Potential
Flam Map derived crown fire potential
FLAME_LENGTH_RE
Flame length (feet)
Flame length was modeled using FlamMap, an interagency fire behavior
mapping and analysis program that computes potential fire behavior
characteristics. The tool uses eight spatial input data layers to represent
biophysical conditions and weather parameters to simulate wind and fuel moisture
conditions. The spatial input layers were created by Landscape Fire and Resource
Management Planning Tools Project (LANDFIRE) and include elevation, slope,
aspect, canopy closure, fuel model 40, canopy base height, and canopy bulk
density. The weather parameters were collected from the RAWS weather stations in
New Mexico.
1-5
flame length reclassification
FlamMap derived flame length. 1 = low flame length (0 to 1 feet),
2= = low/medium flame length (1 to 4 feet), 3 = medium flame length (4
to 8 feet), 4 = high flame length (8 to 11 feet), and 5 = extreme flame
length (>11 feet)
ROS_RE
Rate of Spread (ft/min)
: Rate of spread was modeled using FlamMap, an interagency fire behavior
mapping and analysis program that computes potential fire behavior
characteristics. The tool uses eight spatial input data layers to represent
biophysical conditions and weather parameters to simulate wind and fuel moisture
conditions. The spatial input layers were created by Landscape Fire and Resource
Management Planning Tools Project (LANDFIRE) and include elevation, slope,
aspect, canopy closure, fuel model 40 (using 40 fuel models described by Scott
and Burgan, 2005), canopy base height, and canopy bulk density. The weather
parameters were collected from the RAWS weather stations in New Mexico. Rate of
Spread was modeled by individual fire zones, created by the Southwest
Coordination Center (SWCC). The weather data for the northern and western fire
zones (101, 102, 103, 109, 110, and 113) represents the average early summer
(May and June) conditions; the weather data for the eastern fire zones (104,
108, 114, 115) represents the average early spring (March and April )
conditions; and the weather data for the southern and central fire zones (105,
106, 107, 111, 112) represents the average spring (April and May)
conditions.
1, 3 or 5
rate of spread reclassification
Areas are classified into three groups low (1 = <5.5ft/min),
medium (3 = 5.5 to 55 ft/min), and high (5 = > 55 ft/min).
FRCC_RE
fire regime condition class
FRCC is a tool for determining how similar a landscape's fire regime is to
its natural or historical state. FRCC 1 indicates low departure or areas that
contain vegetation, fuels, and disturbances characteristic of the natural
regime; FRCC 2 indicates moderate (33-66 %) departure from the natural regime;
and FRCC 3 (>66%) indicates high departure. While an ecological measure was
considered to be important for accurately modeling fire risk across the state,
FRCC was intentionally weighted lower in the model. FRCC was not regarded as an
effective measure of ecological health.Areas identified as FRCC 2 are given a
value of 1 and areas identified as FRCC 3 are given a value of 2
0 -2
FRCC
Areas identified as FRCC 2 are given a value of 1 and areas
identified as FRCC 3 are given a value of 2, FRCC 1 and no data are
given a value of 0
IGNITIONS_RE
ignition probability
USFS, State Forestry, BLM, and DOI fire occurrence point locations from
1987 to 2008 were combined and converted into a fire occurrence probability or
density grid using the point statistic spatial analyst tool in ArcGIS. Pixels
are given value of number of fire per square kilometer. This was then
reclassified into 5 classess using natural beaks
Unknown
WUI_RE
Wildland Urban Interface The USFS, Silvis Lab developed a statewide WUI layer (see metadata for
more information). New Mexico State Forestry provided Community Wildfire
Protection Plans, developed by individual counties and communities. These plans
identified WUI areas. CWPPs for 26 of 33 counties have been completed and are
available. The Silvis WUI and CWPP WUI layers were combined, except where county
CWPPs had identified the entire county as a WUI. These large CWPP identified WUI
areas were removed because the technical team did not want to bias the statewide
prioritization towards counties that had taken a more general approach to
identifying WUI and away from counties that had identified smaller WUI areas.
For this reason, the technical team recommended removal of large blocks of CWPP
identified WUI areas in Torrance and Socorro County as well. However, it is
important to note that the CWPP identified WUI areas that were removed should be
still be considered priorities for planning, particularly at county level. The
Silvis WUI and CWPP WUI were combined, converted to raster and were assigned a
value of 5, otherwise 0.
The Nature Conservancy
0
No WUI
Unknown
5
WUI
Unknown
The data of the New Mexico Statewide Natural Resources Assessment was organized
around eight core data themes suggested in the 2008 Farm Bill. The eight core data
themes include: Fish and Wildlife Habitat (Biodiversity), Development Risk
(Potential), Economic Development (Potential), Forest Health, Fragmentation, Green
Infrastructure, Water Quality and Supply, and Wildfire Risk. For each core data
theme, models were developed and served as the foundation for identifying the
priority landscapes within New Mexico for the Statewide Strategy and Response Plan.
While the 2008 Farm Bill provided the framework for the models developed, the Forest
and Watershed Health Plan provided the vision for the content of each model and
placed emphasis on expanding the scope to include all resources, not just forest
resources. Technical teams, comprised of subject and technical experts from agencies
and other partners, served as the advisors in the development each of the data
models. Individuals on the technical teams range from environmental organizations,
private industry, federal, state, and municipal partners, private landowners,
conservation organizations, and citizens groups. One technical team was formed for
each of the eight core data models. The spatial layers are housed on the New Mexico
Resource Geographic Information System Program (RGIS), a cooperative program between
the University of New Mexico and the New Mexico Information Technology Commission
and can be found at http://rgis.unm.edu/data_entry.cfm
Detailed information on the entity, attributes and source can be found in
Volume II - Data Atlases: Methods and Descriptions of Core Data Models Used in the
Development of the Statewide Natural Resource Assessment. It is also available
online at the All About Watersheds portal
(http://allaboutwatersheds.org/groups/SAS/public/data-atlases).
Earth Data Analysis Center
Clearinghouse Manager
mailing and physical address
MSC01 1110
1 University of New Mexico
Albuquerque
NM
87131-0001
USA
505-277-3622 ext. 230
505-277-3614
clearinghouse@edac.unm.edu
0800 - 1700 MT, M-F -7 hours GMT
Downloadable Data
The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), Resource Geographic Information System (RGIS) and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated.
ZIP
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https://gstore.unm.edu/apps/rgisarchive/datasets/71be383b-ad19-4252-9c01-cfad3216a0ca/main_model_fr.original.zip
Download from Resource Geographic Information System (RGIS) at http://rgis.unm.edu.
None. The files are available to download from Resource Geographic Information System (RGIS) (http://rgis.unm.edu).
Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu
Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu
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20240329
Earth Data Analysis Center
Clearinghouse Manager
mailing and physical address
MSC01 1110
1 University of New Mexico
Albuquerque
NM
87131-0001
USA
505-277-3622 ext. 230
505-277-3614
clearinghouse@edac.unm.edu
0800 - 1700 MT, M-F -7 hours GMT
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
http://www.fgdc.gov/standards/projects/FGDC-standards-projects/csdgm_rs_ex/MetadataRemoteSensingExtens.pdf
Extensions for Remote Sensing Metadata, FGDC-STD-012-2002