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Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018
- Identification Information
- Spatial Data Organization Information
- Entity and Attribute Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Originator
- Publication Date
- 20180101
- Title
- Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018
- Geospatial Data Presentation Form
- raster digital data
- Collection Title
- California Department of Forestry and Fire Protection, GIS Maps Data
- Publication Information
- Publisher
- Fire and Resource Assessment Program (Calif.)
- Online Linkage
- https://purl.stanford.edu/nw945zv2996
- Abstract
- This Priority Landscape (PL) prioritizes watersheds for potential treatment to reduce wildfire risk based on threats and assets to forested lands. Ranking: The ranking varies from 1 (least risk) to 5 (greatest risk). Lands such as conifer woodlands (e.g. juniper and pinyon-juniper), oak woodlands (blue oak woodland, valley oak woodland, coastal oak woodland, etc.), shrublands, grasslands, were not included. In addition, only forested lands with a fire return interval departure (FRID) of class 2 or greater were included. This ensures that the areas most in need of treatment to restore natural fire regimes and improve ecological functions are prioritized. Assets: Surface water value: Watersheds (HUC12s) were ranked based on surface drinking water value from the USDA Forest Service's Forests to Faucet data, https://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml Carbon storage: Estimated amount of carbon in the forest that is in living trees above the ground was spatially imputed into a GIS layer from Forest Service FIA data by Wilson et al. (2013) using a gradient nearest neighbor (GNN) technique. See Wilson, B.T., C.W. Woodall, and D.M. Griffith, Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management, 2013. 8(1): p. 15. Standing timber: Shows the estimated commercial timber volume on lands available for harvesting. Standing Timber was was primarily derived from LEMMA Structure Maps (https://lemma.forestry.oregonstate.edu/data/structure-maps) that also used Forest Service FIA data and a GNN methodology (2012 vintage). LEMMA commercial timber volume was reduced for areas of high fire severity burns through 2017 (from FRAP), BAER imagery for areas of high severity wildfires that have occurred in 2018 (from:https://fsapps.nwcg.gov/afm/baer/download.php), and Aerial Detection Survey data of areas of high tree mortality (also subsequent to 2012). Lands not available for timber harvest were removed, including southern California and South Central Coast counties with no viable timber processing facilities. Site quality: This shows the productivity of timberland, based upon potential volume of wood (i.e. cubic feet) that can be produced per acre in a year. Site Class GIS data was produced by Wilson from Forest Service FIA data (using the same methods as for the Carbon storage layer), based upon FIA attribute SITECLCD – site productivity class code. It shows the potential timber volume produced at culmination of mean annual increment, in the standard classes used by the USFS. Large trees: Derived from FRAP vegetation layer FVEG15 (WHRSIZE), which in turn (for this attribute) came from CALVEG data of the USFS. Tree size class scores were 1=(6-11" DBH), 3=(11-24" DBH), and 5=(over 24" DBH). Threats: Fire threat: FRAP fire threat data (fthrt14_2) was derived from a combination of FRAP surface fuels data and large fire probability from the Fire Simulation (FSim) system developed by the US Forest Service Missoula, Montana Fire Sciences Laboratory. Fire Return Interval Departure (FRID): FRID shows the deviation from historic averages of fire occurrence. FRID from USFS Region 5 was used to prioritize areas most in need of treatment. FRID scores of 2, 3, and 4 were assigned scores of 1, 3, and 5 respectively. Composite Ranks: All assets were combined and the result ranked from 1 to 5 to derive a composite asset. Likewise, all threats were combined the results ranked from 1 to 5 to create a composite threat. The composite asset layer and composite threat ranks were then combined and classified to a final priority landscape rank for each 30m pixel. Watershed Ranking: A zonal mean of pixel ranks was then calculated for HUC12 watersheds (the smallest consistently delineated watershed, average approximately 24,000 acres). The end result is that each watershed is ranked from 1 (lowest threat) to 5 (highest threat) based on the combination of assets and threats and averaged by watershed. Watershed boundaries used were from the National Hydrography Dataset Watershed Boundary Dataset. This dataset was developed in 2018 to support the California Assessment of Forest and Rangelands.
- Temporal Extent
- Currentness Reference
- publication date
- Time Instant
- 20180101
- Bounding Box
- West
- -124.506094
- East
- -113.498472
- North
- 42.068840
- South
- 32.423745
- Theme Keyword
- Fire risk assessment
- Theme Keyword Thesaurus
- lcsh
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- boundaries
- Theme Keyword Thesaurus
- ISO 19115 Topic Categories
- Place Keyword
- California
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- geonames
- Temporal Keyword
- Access Restrictions
- COPYRIGHT 2014, 2015, 2016, 2017, 2018, 2019, 2020 CALIFORNIA STATE PARKS, ALL RIGHTS RESERVED. These datasets and materials (“Materials”) have been developed by the State of California, Department of Parks and Recreation (“DPR”) for uses beneficial to DPR and as a public service to enhance open government, transparency and accountability. DPR is also known as California State Parks (“CSP”).All Materials are made available on an “as is” basis, on the express condition that users who view, download, transfer or otherwise access or use the Materials expressly accept these Terms of Use and DisclaimersTERMS OF USEAll materials contained herein are protected by the United States Copyright Law, may not be sold or altered, and must be attributed to CSP. These Materials are intended for free distribution for personal or public sector use. Commercial uses of these Materials must be approved by CSP in advance; contact geodata@parks.ca.govfor permission.DATA WARRANTY DISCLAIMERCSP strives to ensure that published Materials are accurate, but makes no warranty, representation or guaranty of any type as to the content, accuracy, timeliness, completeness or fitness for any particular purpose or use, nor shall any such warranty be implied, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. All warranties are specifically disclaimed. DATA CURRENCY DISCLAIMERThese Materials may be updated at irregular intervals. All users should check for updates regularly and ensure the most current version of the Materials is being used.LIABILITY DISCLAIMERCSP disclaims any responsibility or legal liability to users for damages of any kind, including lost profits, lost savings, business interruption, or any other incidental or consequential damages relating to the providing of the Materials or the use of it. CSP expressly disclaims any responsibility to defend or indemnify users against claims of others based on users’ copying, reliance, distribution, or other use of any of the Materials. Users assume the risk of using these Materials and shall have no remedy at law or equity against CSP in case the Materials provided are inaccurate, incomplete or otherwise defective.
- Use Restrictions
- None
- Status
- Complete
- Point of Contact
- Contact Organization
- Fire and Resource Assessment Program (Calif.)
- Contact Telephone
- 916 999 9999
- Contact Electronic Mail Address
- geodata@parks.ca.gov
- Credit
- Fire and Resource Assessment Program (Calif.). (2018). Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018. Fire and Resource Assessment Program (Calif.). Available at: https://purl.stanford.edu/nw945zv2996
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- Title
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- Internal feature number. (Sequential unique whole numbers that are automatically generated.)
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- Distribution Information
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- Stanford Geospatial Center
- Name
- Metadata Reference Information
- Metadata Date
- 20200323
- Metadata Contact
- Contact Information
- Contact Organization Primary
- Contact Organization
- Stanford Geospatial Center
- Contact Address
- Address
- Mitchell Bldg. 2nd floor
- Address
- 397 Panama Mall
- City
- Stanford
- State or Province
- California
- Postal Code
- 94305
- Country
- US
- Contact Voice Telephone
- 650-723-2746
- Contact Electronic Mail Address
- brannerlibrary@stanford.edu
- Metadata Standard Name
- FGDC Content Standard for Digital Geospatial Metadata
- Metadata Standard Version
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Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018
- Identification Information
- Spatial Reference Information
- Distribution Information
- Content Information
- Spatial Representation Information
- Metadata Reference Information
Identification Information
- Citation
- Title
- Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018
- Originator
- Fire and Resource Assessment Program (Calif.)
- Publisher
- Fire and Resource Assessment Program (Calif.)
- Publication Date
- 2018-01-01
- Identifier
- https://purl.stanford.edu/nw945zv2996
- Geospatial Data Presentation Form
- mapDigital
- Collection Title
- California Department of Forestry and Fire Protection, GIS Maps Data
- Abstract
- This Priority Landscape (PL) prioritizes watersheds for potential treatment to reduce wildfire risk based on threats and assets to forested lands. Ranking: The ranking varies from 1 (least risk) to 5 (greatest risk). Lands such as conifer woodlands (e.g. juniper and pinyon-juniper), oak woodlands (blue oak woodland, valley oak woodland, coastal oak woodland, etc.), shrublands, grasslands, were not included. In addition, only forested lands with a fire return interval departure (FRID) of class 2 or greater were included. This ensures that the areas most in need of treatment to restore natural fire regimes and improve ecological functions are prioritized. Assets: Surface water value: Watersheds (HUC12s) were ranked based on surface drinking water value from the USDA Forest Service's Forests to Faucet data, https://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml Carbon storage: Estimated amount of carbon in the forest that is in living trees above the ground was spatially imputed into a GIS layer from Forest Service FIA data by Wilson et al. (2013) using a gradient nearest neighbor (GNN) technique. See Wilson, B.T., C.W. Woodall, and D.M. Griffith, Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management, 2013. 8(1): p. 15. Standing timber: Shows the estimated commercial timber volume on lands available for harvesting. Standing Timber was was primarily derived from LEMMA Structure Maps (https://lemma.forestry.oregonstate.edu/data/structure-maps) that also used Forest Service FIA data and a GNN methodology (2012 vintage). LEMMA commercial timber volume was reduced for areas of high fire severity burns through 2017 (from FRAP), BAER imagery for areas of high severity wildfires that have occurred in 2018 (from:https://fsapps.nwcg.gov/afm/baer/download.php), and Aerial Detection Survey data of areas of high tree mortality (also subsequent to 2012). Lands not available for timber harvest were removed, including southern California and South Central Coast counties with no viable timber processing facilities. Site quality: This shows the productivity of timberland, based upon potential volume of wood (i.e. cubic feet) that can be produced per acre in a year. Site Class GIS data was produced by Wilson from Forest Service FIA data (using the same methods as for the Carbon storage layer), based upon FIA attribute SITECLCD – site productivity class code. It shows the potential timber volume produced at culmination of mean annual increment, in the standard classes used by the USFS. Large trees: Derived from FRAP vegetation layer FVEG15 (WHRSIZE), which in turn (for this attribute) came from CALVEG data of the USFS. Tree size class scores were 1=(6-11" DBH), 3=(11-24" DBH), and 5=(over 24" DBH). Threats: Fire threat: FRAP fire threat data (fthrt14_2) was derived from a combination of FRAP surface fuels data and large fire probability from the Fire Simulation (FSim) system developed by the US Forest Service Missoula, Montana Fire Sciences Laboratory. Fire Return Interval Departure (FRID): FRID shows the deviation from historic averages of fire occurrence. FRID from USFS Region 5 was used to prioritize areas most in need of treatment. FRID scores of 2, 3, and 4 were assigned scores of 1, 3, and 5 respectively. Composite Ranks: All assets were combined and the result ranked from 1 to 5 to derive a composite asset. Likewise, all threats were combined the results ranked from 1 to 5 to create a composite threat. The composite asset layer and composite threat ranks were then combined and classified to a final priority landscape rank for each 30m pixel. Watershed Ranking: A zonal mean of pixel ranks was then calculated for HUC12 watersheds (the smallest consistently delineated watershed, average approximately 24,000 acres). The end result is that each watershed is ranked from 1 (lowest threat) to 5 (highest threat) based on the combination of assets and threats and averaged by watershed. Watershed boundaries used were from the National Hydrography Dataset Watershed Boundary Dataset. This dataset was developed in 2018 to support the California Assessment of Forest and Rangelands.
- Temporal Extent
- Currentness Reference
- publication date
- Time Instant
- 2018-01-01T00:00:00
- Bounding Box
- West
- -124.506094
- East
- -113.498472
- North
- 42.06884
- South
- 32.423745
- ISO Topic Category
- boundaries
- Place Keyword
-
California
- Place Keyword Thesaurus
- geonames
- Theme Keyword
-
Fire risk assessment
- Theme Keyword Thesaurus
- lcsh
- Legal Constraints
- Use Restrictions
- otherRestrictions
- Other Restrictions
- COPYRIGHT 2014, 2015, 2016, 2017, 2018, 2019, 2020 CALIFORNIA STATE PARKS, ALL RIGHTS RESERVED. These datasets and materials (“Materials”) have been developed by the State of California, Department of Parks and Recreation (“DPR”) for uses beneficial to DPR and as a public service to enhance open government, transparency and accountability. DPR is also known as California State Parks (“CSP”).All Materials are made available on an “as is” basis, on the express condition that users who view, download, transfer or otherwise access or use the Materials expressly accept these Terms of Use and DisclaimersTERMS OF USEAll materials contained herein are protected by the United States Copyright Law, may not be sold or altered, and must be attributed to CSP. These Materials are intended for free distribution for personal or public sector use. Commercial uses of these Materials must be approved by CSP in advance; contact geodata@parks.ca.govfor permission.DATA WARRANTY DISCLAIMERCSP strives to ensure that published Materials are accurate, but makes no warranty, representation or guaranty of any type as to the content, accuracy, timeliness, completeness or fitness for any particular purpose or use, nor shall any such warranty be implied, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. All warranties are specifically disclaimed. DATA CURRENCY DISCLAIMERThese Materials may be updated at irregular intervals. All users should check for updates regularly and ensure the most current version of the Materials is being used.LIABILITY DISCLAIMERCSP disclaims any responsibility or legal liability to users for damages of any kind, including lost profits, lost savings, business interruption, or any other incidental or consequential damages relating to the providing of the Materials or the use of it. CSP expressly disclaims any responsibility to defend or indemnify users against claims of others based on users’ copying, reliance, distribution, or other use of any of the Materials. Users assume the risk of using these Materials and shall have no remedy at law or equity against CSP in case the Materials provided are inaccurate, incomplete or otherwise defective.
- Status
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- Collection
- Collection Title
- California Department of Forestry and Fire Protection, GIS Maps Data
- URL
- https://purl.stanford.edu/ng146rv3289
- Language
- eng
- Credit
- Fire and Resource Assessment Program (Calif.). (2018). Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018. Fire and Resource Assessment Program (Calif.). Available at: https://purl.stanford.edu/nw945zv2996
- Point of Contact
- Contact
- Fire and Resource Assessment Program (Calif.)
- geodata@parks.ca.gov
- Phone
- 916 999 9999
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Distribution Information
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Content Information
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Metadata Reference Information
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- Metadata Date Stamp
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- Metadata Standard Name
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- Metadata Standard Version
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