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The data layers included in this Sierra Nevada Regional Resource Kit were originally developed by the U.S. Forest Service “ACCEL” program, a joint effort of the Pacific Southwest Research Station and Region 5. The transition to the Regional Resource Kit reflects the growth of the partnership to include interests of the California Wildfire and Forest Resilience Task Force and academic scientists from UC Berkeley and UC Irvine who have been developing information that contributes to this overall effort. As we continue to develop geospatial data for landscape assessment and planning throughout the state this partnership has now taken the lead in the creation of the Regional Resource Kits for the four regions of California.
The RRK has adopted the Framework for Resilience to provide a structure for assessing landscape conditions, setting objectives, designing projects, and measuring progress towards social-ecological resilience. There are ten pillars that represent the desired outcomes of landscape resilience. Each of the pillars provide a series of elements and under the elements, metrics (the data layers) for assessing landscape conditions and verifying that actions meet resilience objectives.
The metrics are organized by the ten pillars of resilience in the Framework for Resilience. The Metrics describe the characteristics of the elements (key characteristics) of each pillar in quantitative or, in a few cases, qualitative terms. Metrics are used to assess, plan for, measure, and monitor progress toward desired outcomes and greater resilience. Metrics are selected to be informative, meaningful, and actionable to meet the needs of management.
The metrics are also divided into three “tiers.” Among all these metrics, some are created and relevant statewide. Other metrics are more suited to conditions within a given region. The “Tiers” for metrics included in each RRK:
Tier 1 – metrics that are a single, consistent data layer, developed statewide; they can also be clipped to the boundary of the region so values... |
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The data layers included in this Sierra Nevada Regional Resource Kit were originally developed by the U.S. Forest Service “ACCEL” program, a joint effort of the Pacific Southwest Research Station and Region 5. The transition to the Regional Resource Kit reflects the growth of the partnership to include interests of the California Wildfire and Forest Resilience Task Force and academic scientists from UC Berkeley and UC Irvine who have been developing information that contributes to this overall effort. As we continue to develop geospatial data for landscape assessment and planning throughout the state this partnership has now taken the lead in the creation of the Regional Resource Kits for the four regions of California.
The RRK has adopted the Framework for Resilience to provide a structure for assessing landscape conditions, setting objectives, designing projects, and measuring progress towards social-ecological resilience. There are ten pillars that represent the desired outcomes of landscape resilience. Each of the pillars provide a series of elements and under the elements, metrics (the data layers) for assessing landscape conditions and verifying that actions meet resilience objectives.
The metrics are organized by the ten pillars of resilience in the Framework for Resilience. The Metrics describe the characteristics of the elements (key characteristics) of each pillar in quantitative or, in a few cases, qualitative terms. Metrics are used to assess, plan for, measure, and monitor progress toward desired outcomes and greater resilience. Metrics are selected to be informative, meaningful, and actionable to meet the needs of management.
The metrics are also divided into three “tiers.” Among all these metrics, some are created and relevant statewide. Other metrics are more suited to conditions within a given region. The “Tiers” for metrics included in each RRK:
Tier 1 – metrics that are a single, consistent data layer, developed statewide; they can also be clipped to the boundary of the region so values... |
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F3 data outputs, Region 5, MARS Team
USDA Forest Service - Region 5 - Pacific Southwest Region |
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5000 |
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[] |
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- Metric Name: Stand Density Index
- Tier: 2
- Data Vintage: 2021
- Unit Of Measure: Number of trees per acre expressed as an equivalent density in a stand with a quadratic mean diameter of 10 inches
Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used for forest health-oriented treatments. SDI was also proposed by North et al., (2022) as an operational resilience metric for western fire adapted forests. This metric is a quantitative measure that relates the current stand density to the size class distribution of the stand. Reineke uses quadratic mean diameter, a weighted mean, to estimate the stand size class, whereas the Zeide method (also known as the summation method) uses Dr (Reineke’s diameter). For additional details on both calculations, see the Essential FVS Guide.
- Creation Method: FVS generated estimates of the stand density index metric using either the Reineke 1933 or the Zeide 1983 index calculations for all trees greater than or equal to 1.0” dbh based on max SDI derived from FIA plot data. Then the F3 model imputed the SDI calculations to the landscape.
2019 to 2021 Update: SDI values were adjusted for 2021 following the same procedure as outlined for density – trees per acre (described below).
Tree density values for 2021 were adjusted independently for each predefined non-overlapping diameter size class (10-inch bins) using the Ecosystem Disturbance and Recovery Tracker (eDaRT), described in the Introduction. All eDaRT events beginning August 1, 2019 through November 30, 2021 were identified, and the corresponding Mortality Magnitude Index (MMI) values for these events was summed, giving the estimated fractional canopy cover loss per 30m pixel over that time period. The MMI value for canopy cover loss was used as a direct proxy to estimate TPA loss, using the formula:
2021 TPA = 2019 TPA – (2019 TPA * MMI/100)
Although the assumption of direct correlation between canopy cover and TPA should be viewed with caution, it serves as a reasonable approximation for representative mixed conifer forests in the Sierra Nevada affected by the recent drought (Slaton et al. 2022). The assumption that canopy cover loss, as estimated using eDaRT MMI, was equitably distributed among the predefined size classes may result in over- or under-estimates of actual tree density per individual size class, depending on location.
QMD was then recalculated for 2021 using adjusted tree densities and by assigning trees in each size class to the respective mid-point diameter of that class. |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 6 0;"><SPAN><SPAN>Appropriate use includes regional to statewide assessments of vegetation cover, land cover, or land use change trends, total extent of vegetation cover, land cover, or land use change, and aggregated summaries of vegetation cover, land cover, or land use change. Further use includes applying these data to assess management opportunities for treatments to restore landscape resiliency. The authors make no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. For all data layers you are free to share, copy, and redistribute the material in any medium or format AND adapt, remix, transform, and build upon the material for any purpose, even commercially under the following terms:</SPAN></SPAN></P><P STYLE="margin:0 0 6 0;"><SPAN /><SPAN /></P><P STYLE="margin:0 0 6 0;"><SPAN STYLE="font-weight:bold;"><SPAN>Attribution</SPAN></SPAN><SPAN><SPAN> — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. </SPAN></SPAN><SPAN /><SPAN /></P><P STYLE="margin:0 0 6 0;"><SPAN /></P><P STYLE="margin:0 0 6 0;"><SPAN STYLE="font-weight:bold;"><SPAN>ShareAlike </SPAN></SPAN><SPAN><SPAN>— If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. </SPAN></SPAN><SPAN /><SPAN /></P><P STYLE="margin:0 0 6 0;"><SPAN /></P><P STYLE="margin:0 0 6 0;"><SPAN STYLE="font-weight:bold;"><SPAN>No commercial use</SPAN></SPAN><SPAN><SPAN> – the user is responsible for acknowledging those data layers within this RRK (as determined by the source of the data) that are not permitted for commercial use. </SPAN></SPAN><SPAN /><SPAN /></P><P STYLE="margin:0 0 6 0;"><SPAN /></P><P STYLE="margin:0 0 6 0;"><SPAN STYLE="font-weight:bold;"><SPAN>No additional restrictions</SPAN></SPAN><SPAN><SPAN> — You may not apply legal terms or technological measures that legally restrict others from doing anything this license permits.</SPAN></SPAN></P></DIV></DIV></DIV> |
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SDI_33_2021_30m.tif; SDI_83_2021_30m.tif |
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["environment","geoscientific Information","planning Cadastre","land management","landscape restoration"] |
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en-US |
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