LANDIS-II input dataset of scenarios, climate, ecoregions, and parameters for the development of outcome prioritization on fuel treatment placement in extreme fire weather in Dinkey Creek watershed within the Sierra National Forest

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Loudermilk, E. Louise
Originator: Krofcheck, Daniel J.
Originator: Hurteau, Matthew D.
Originator: Scheller, Robert M.
Publication_Date: 2019
Title:
LANDIS-II input dataset of scenarios, climate, ecoregions, and parameters for the development of outcome prioritization on fuel treatment placement in extreme fire weather in Dinkey Creek watershed within the Sierra National Forest
Geospatial_Data_Presentation_Form: tabular and raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2019-0036
Description:
Abstract:
This data publication contains the collection of data assembled to develop prioritization strategies for implementing fuel treatments across the Dinkey Creek watershed, within the Sierra National Forest in California, with the goal of maximizing treatment efficacy using optimal placement and prescriptions under extreme fire weather conditions to create more fire resilient landscapes. This data consists of a collection of comma-delimited ASCII text files, tiff files, and ASCII text files. The compiled data files include plant traits parameterized by plant functional group and the species parameters that govern growth and dispersal used to create the spatially explicit initial community. The data contain the unique edaphically and climatically parameters for the ecoregions and management regions and the fire probability and parameters for the fire regions. Climate data from 1950 to 2000 used for model spin-up and model management scenarios are included in this dataset. We used the Landscape Disturbance and Succession model, LANDIS-II v.6.0, which is used for understanding ecosystem dynamics, feedbacks associated with wildfire, and fuel treatment effectiveness across space and time. We simulated the regeneration and growth of vegetation, detritus and soil nutrient cycling, heterotrophic respiration, stochastic wildfires, and forest treatments (harvesting, thinning, and prescribed fire). We implemented multiple model scenarios, namely a no-management scenario to determine landscape fire risk, a typical fuel treatment scenario, a prioritized treatments scenario based on simulated fire risk from the no-management scenario. These scenarios were run with contemporary and extreme fire weather conditions.
Purpose:
These data were collected to parameterize a landscape model to address prioritization strategies for implementing fuel treatments across the Dinkey Creek watershed: within the Sierra National Forest, Joint Fire Science Program Project (14-1-01-2).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1950
Ending_Date: 2000
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Description_of_Geographic_Extent:
Dinkey Creek watershed within the Sierra National Forest in California
Bounding_Coordinates:
West_Bounding_Coordinate: -119.32230
East_Bounding_Coordinate: -119.00500
North_Bounding_Coordinate: 37.18910
South_Bounding_Coordinate: 36.90270
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Fire
Theme_Keyword: Fire effects on environment
Theme_Keyword: Prescribed fire
Theme_Keyword: Ecology, Ecosystems, & Environment
Theme_Keyword: Natural Resource Management & Use
Theme_Keyword: Forest management
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: fire weather
Theme_Keyword: climate
Theme_Keyword: forest carbon
Theme_Keyword: fuel treatments
Theme_Keyword: wildland fire
Theme_Keyword: carbon sequestration
Theme_Keyword: fire emissions
Theme_Keyword: mixed-conifer
Theme_Keyword: LANDIS-II
Theme_Keyword: landscape modeling
Theme_Keyword: forest disturbance
Theme_Keyword: Joint Fire Science Program
Theme_Keyword: JFSP
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: California
Place_Keyword: Dinkey Creek watershed
Place_Keyword: Sierra Nevada
Access_Constraints: None
Use_Constraints:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Loudermilk, E. Louise; Krofcheck, Daniel J.; Hurteau, Matthew D.; Scheller, Robert M. 2019. LANDIS-II input dataset of scenarios, climate, ecoregions, and parameters for the development of outcome prioritization on fuel treatment placement in extreme fire weather in Dinkey Creek watershed within the Sierra National Forest. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2019-0036
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Dr. E. Louise Loudermilk
Contact_Organization: USDA Forest Service, Southern Research Station, Center for Forest Disturbance Science
Contact_Position: Research Ecologist
Contact_Address:
Address_Type: mailing and physical
Address: 320 Green Street
City: Athens
State_or_Province: GA
Postal_Code: 30602
Country: USA
Contact_Voice_Telephone: 706-559-4309
Contact_Electronic_Mail_Address: eva.l.loudermilk@usda.gov
Data_Set_Credit:
Funding for this project provided by Joint Fire Science Program (JFSP # 14-1-01-2): https://www.firescience.gov as well as the USDA Forest Service, Southern Research Station.
Native_Data_Set_Environment:
LANDIS-II v.6.0
Cross_Reference:
Citation_Information:
Originator: Krofcheck, Daniel J.
Originator: Hurteau, Matthew D.
Originator: Scheller, Robert M.
Originator: Loudermilk, E. Louise
Publication_Date: 2018
Title:
Prioritizing forest fuels treatments based on the probability of high-severity fire restores adaptive capacity in Sierran forests
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Global Change Biology
Issue_Identification: 24: 729- 737
Online_Linkage: https://doi.org/10.1111/gcb.13913
Cross_Reference:
Citation_Information:
Originator: Krofcheck, Daniel J.
Originator: Hurteau, Matthew D.
Originator: Scheller, Robert M.
Originator: Loudermilk, E. Louise
Publication_Date: 2017
Title:
Restoring surface fire stabilizes forest carbon under extreme fire weather in the Sierra Nevada
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecosphere
Issue_Identification: 8(1): e01663
Online_Linkage: https://doi.org/10.1002/ecs2.1663
Cross_Reference:
Citation_Information:
Originator: Loudermilk, E. Louise
Originator: Scheller, Robert M.
Originator: Hurteau, Matthew D.
Publication_Date: Unpublished material
Title:
Outcomes prioritization on fuel treatment placement in extreme fire weather in 3 CFLRP landscapes
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: Joint Fire Science Project Final Report
Issue_Identification: Project ID: 14-1-01-2
Other_Citation_Details:
June 28, 2018 (also included in data publication download)
Online_Linkage: https://www.firescience.gov/projects/14-1-01-2/project/14-1-01-2_final_report.pdf
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Several methods were used to ensure the quality of the data throughout the analysis. Many of the data inputs were obtained from published literature or government agency datasets with specific quality assurance (QA) standards. The initial communities layer was developed from U.S. Forest Service Forest Inventory and Analysis (FIA) data and the landscape was parameterized by sampling FIA data to populate each stratum (Liang et al. 2017). Ecoregion parameters were developed and calibrated following previously established procedures (Scheller et al. 2011a, 2011b, Loudermilk et al. 2013) using publicly available data sets. Climate data from 1950 to 2000 were used for model spin-up and were downloaded using the USGS Geo Data Portal (http://cida.usgs.gov/gdp/, Thornton et al. 2012). Values from the literature and gSSURGO data (NRCS 2013) were used to establish soil parameters across the watershed, and leveraged the broad edaphic gradient in geologic parent material coupled with elevation to define eight distinct ecoregions for the study area. Wilting point and field capacity were calculated from soil texture by ecoregion (Saxton et al. 1986). Century Succession extension specific parameters for LANDIS ecoregions, tree functional groups, and tree species were obtained from the literature. Vegetation specific parameter sets were developed elsewhere (Loudermilk et al. 2013, 2014). Using allometric equations from Jenkins et al. (2003) and Chojnacky et al. (2014), the model was validated by comparing aboveground tree biomass following spin-up with tree biomass estimates calculated from FIA data.

Chojnacky, David C.; Heath, Linda S.; Jenkins, Jennifer C. 2014. Updated generalized biomass equations for North American tree species. Forestry 87: 129–151. https://doi.org/10.1093/forestry/cpt053

Jenkins, Jennifer C.; Chojnacky, David C.; Heath, Linda S.; Birdsey, Richard A. 2003. National-scale biomass estimators for United States tree species. Forest Science 49: 12–35.

Liang, Shuang; Hurteau, Matthew D.; Westerling, Anthony LeRoy. 2017. Response of Sierra Nevada forests to projected climate-wildfire interactions. Global Change Biology 23(5): 2016-2030. https://doi.org/10.1111/gcb.13544

Loudermilk, E. Louise; Scheller, Robert M.; Weisberg, Peter J.; Yang, Jiang; Dilts, Thomas E.; Karam, Sarah L.; Skinner, Carl. 2013. Carbon dynamics in the future forest: the importance of long-term successional legacy and climate-fire interactions. Global Change Biology 19: 3502–3515. https://doi.org/10.1111/gcb.12310

Loudermilk, E. Louise; Stanton, Allison; Scheller, Robert M.; Dilts, Thomas E.; Weisberg, Peter J.; Skinner, Carl; Yang, Jiang. 2014. Effectiveness of fuel treatments for mitigating wildfire risk and sequestering forest carbon: a case study in the Lake Tahoe Basin. Forest Ecology and Management 323:114–125. https://doi.org/10.1016/j.foreco.2014.03.011

Saxton, K. E.; Rawls, W. J.; Romberger, J. S.; Papendick, R. I. 1986. Estimating generalized soil-water characteristics from texture. Soil Science Society of America Journal 50(4): 1031–1036. https://doi.org/10.2136/sssaj1986.03615995005000040054x

Scheller, Robert M.; Hua, Dong; Bolstad, Paul V.; Birdsey, Richard A.; Mladenoff, David J. 2011a. The effects of forest harvest intensity in combination with wind disturbance on carbon dynamics in Lake States Mesic Forests. Ecological Modelling 222: 144–153. https://doi.org/10.1016/j.ecolmodel.2010.09.009

Scheller, Robert M.; van Tuyl, Steve; Clark, Kenneth L.; Hom, John; La Puma, Inga. 2011b. Carbon sequestration in the New Jersey Pine Barrens under different scenarios of fire management. Ecosystems 14(6): 987–1004. https://doi.org/10.1007/s10021-011-9462-6

Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. 2013. Soil Survey Geographic (SSURGO) Database. http://sdmdataaccess.nrcs.usda.gov

Thornton, P. E.; Thornton, M. M.; Mayer, B. W.; Wei, Y.; Devarakonda, R.; Vose, R. S.; Cook, R. B. 2016. Daymet: Daily surface weather data on a 1-km grid for North America, Version 3. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1328, accessed Nov 01, 2016


For more information, refer to:

Krofcheck, Daniel J.; Hurteau, Matthew D.; Scheller, Robert M.; Loudermilk, E. Louise. 2017. Restoring surface fire stabilizes forest carbon under extreme fire weather in the Sierra Nevada. Ecosphere 8(1): e01663. https://doi.org/10.1002/ecs2.1663

Krofcheck, Daniel J.; Hurteau, Matthew D.; Scheller, Robert M.; Loudermilk, E. Louise. 2018. Prioritizing forest fuels treatments based on the probability of high-severity fire restores adaptive capacity in Sierran forests. Global Change Biology 24(2): 729-737. https://doi.org/10.1111/gcb.13913

Loudermilk, E. Louise; Scheller, Robert M.; Hurteau, Matthew D. Outcomes prioritization on fuel treatment placement in extreme fire weather in 3 CFLRP landscapes. Joint Fire Science Project Final Report. Project ID: 14-1-01-2. June 28, 2018. https://www.firescience.gov/projects/14-1-01-2/project/14-1-01-2_final_report.pdf (also included in data publication download)
Logical_Consistency_Report:
This analysis involved parameterization of a landscape simulation model, all inputs and parameters were developed based on past publications and by using rigorous scientific approaches described in full in the associated manuscripts.
Completeness_Report:
There are no missing data as far as we know.
Lineage:
Methodology:
Methodology_Type: Field
Methodolgy_Identifier:
Methodolgy_Keyword_Thesaurus:
None
Methodology_Keyword: Forest Inventory Analysis
Methodology_Keyword: LANDIS-II
Methodology_Keyword: fire
Methodology_Keyword: climate
Methodology_Keyword: harvest
Methodology_Keyword: carbon
Methodology_Keyword: tree species
Methodology_Description:
The Landscape Disturbance and Succession model, LANDIS-II (v.6.0) was used to examine ecosystem dynamics, feedbacks associated with wildfire, and fuel treatment effectiveness across space and time on the Dinkey Creek watershed landscape. To track landscape carbon (C) dynamics, the Century Succession (v4.0.1) extension was used to simulate the regeneration and growth of vegetation, detritus and soil nutrient cycling, and heterotrophic respiration (Scheller et al. 2011, Loudermilk et al. 2013). We used climate projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) collection of models.

To simulate fire and fuel interactions as a function of a user-defined probability of ignition, fire size and fire weather distributions, coupled with topography and fuel availability (Sturtevant et al. 2009), the Dynamic Fire and Fuels System (DFFS, v2.0.5) extension was used. To simulate management scenarios (thinning and maintenance burning treatments), the Leaf Biomass Harvest extension (v2.0.3) was used.

To investigate the interaction between treatments and fire weather, we simulated three management scenarios (no-management, thin-only, thin and maintenance burning) with two fire weather scenarios (contemporary and extreme), for a total of six scenarios. All other fire parameters were held constant resulting in a consistent number of fires and mean fire size by fire region across all simulations.

A complete recanting of the data and the process used has been published in Krofcheck et al. (2017), Krofcheck et al. (2018), and Loudermilk et al. (2018).
Methodology_Citation:
Citation_Information:
Originator: Krofcheck, Daniel J.
Originator: Hurteau, Matthew D.
Originator: Scheller, Robert M.
Originator: Loudermilk, E. Louise
Publication_Date: 2017
Title:
Restoring surface fire stabilizes forest carbon under extreme fire weather in the Sierra Nevada
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecosphere
Issue_Identification: 8(1): e01663
Online_Linkage: https://doi.org/10.1002/ecs2.1663
Methodology_Citation:
Citation_Information:
Originator: Krofcheck, Daniel J.
Originator: Hurteau, Matthew D.
Originator: Scheller, Robert M.
Originator: Loudermilk, E. Louise
Publication_Date: 2018
Title:
Prioritizing forest fuels treatments based on the probability of high-severity fire restores adaptive capacity in Sierran forests
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Global Change Biology
Issue_Identification: 24(2): 729-737
Online_Linkage: https://doi.org/10.1111/gcb.13913
Methodology_Citation:
Citation_Information:
Originator: Loudermilk, E. Louise
Originator: Scheller, Robert M.
Originator: Weisberg, Peter J.
Originator: Yang, Jiang
Originator: Dilts, Thomas E.
Originator: Karam, Sarah L.
Originator: Skinner, Carl
Publication_Date: 2013
Title:
Carbon dynamics in the future forest: the importance of long-term successional legacy and climate-fire interactions
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Global Change Biology
Issue_Identification: 19: 3502-3515
Online_Linkage: https://doi.org/10.1111/gcb.12310
Methodology_Citation:
Citation_Information:
Originator: Loudermilk, E. Louise
Originator: Scheller, Robert M.
Originator: Hurteau, Matthew D.
Publication_Date: Unpublished material
Title:
Outcomes prioritization on fuel treatment placement in extreme fire weather in 3 CFLRP landscapes
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: Joint Fire Science Project Final Report
Issue_Identification: Project ID: 14-1-01-2
Other_Citation_Details:
June 28, 2018 (also included in data publication download)
Online_Linkage: https://www.firescience.gov/projects/14-1-01-2/project/14-1-01-2_final_report.pdf
Methodology_Citation:
Citation_Information:
Originator: Scheller, Robert M.
Originator: Hua, Dong
Originator: Bolstad, Paul V.
Originator: Birdsey, Richard A.
Originator: Mladenoff, David J.
Publication_Date: 2011
Title:
The effects of forest harvest intensity in combination with wind disturbance on carbon dynamics in Lake State Mesic Forests
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecological Modelling
Issue_Identification: 222: 144-153
Online_Linkage: https://doi.org/10.1016/j.ecolmodel.2010.09.009
Methodology_Citation:
Citation_Information:
Originator: Sturtevant, Brian R.
Originator: Scheller, Robert M.
Originator: Miranda, Brian R.
Originator: Shinneman, Douglas.
Originator: Syphard, Alexandra
Publication_Date: 2009
Title:
Simulating dynamic and mixed-severity fire regimes: A process-based fire extension for LANDIS-II
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecological Modelling
Issue_Identification: 222(23): 3380–3393
Online_Linkage: https://doi.org/10.1016/j.ecolmodel.2009.07.030
Source_Information:
Source_Citation:
Citation_Information:
Originator: Thornton, P. E.
Originator: Thornton, M. M.
Originator: Mayer, B. W.
Originator: Wei, Y.
Originator: Devarakonda, R.
Originator: Vose, R. S.
Originator: Cook, R. B.
Publication_Date: 2016
Title:
Daymet: Daily surface weather data on a 1-km grid for North America, Version 3
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Oak Ridge, Tennessee, USA
Publisher: ORNL DAAC
Other_Citation_Details:
Accessed Nov 01, 2016
Online_Linkage: https://doi.org/10.3334/ORNLDAAC/1328
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1950
Ending_Date: 2000
Source_Currentness_Reference:
Publication Date
Source_Citation_Abbreviation:
Thornton et al. (2012)
Source_Contribution:
The 1950-2000 climate data were downloaded using the USGS Geo Data Portal http://cida.usgs.gov/gdp/.
Process_Step:
Process_Description:
See methodology section
Process_Date: Unknown
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
Below you will find a list and description fo the files available in this data publication and a short description of their contents.

Description of models:

From the Coupled Model Intercomparison Project Phase 5 (CMIP5) family, four general circulation models (listed below) that bracket the precipitation and temperature envelope of the region where chosen. Each model was run under Representative Concentration Pathway (RCP) 8.5 where rcp85 is rising radiative forcing, leading to 8.5 Watts per square meter (W/m2) by 2100 (equivalent to 1370 parts per million carbon dioxide [CO2] equivalent). Because climate model simulations are dependent on the initial state, in the CMIP5 project, ensemble members are named in the rip-nomenclature, r for realization, i for initialization and p for physics, followed by an integer, e.g. r1i1p1.

1. CCSM = CCSM4_r6i1p1_rcp85 which is the Community Climate System Model 4 with 1° atmosphere, land, ocean, and sea ice where realization=6, initialization=1, physics=1 and was run under the Representative Concentration Pathways 8.5

2. CNRM = CNRM-CM5_r1i1p1_rcp85 which is the CNRM-CM5 model where realization=1, initialization=1, physics=1 and was run under the Representative Concentration Pathways 8.5

3. FGOALS = FGOALSg2_r1i1p1_rcp85 which is the Flexible Global Ocean-Atmosphere-Land System Model: Grid-point Version 2 where realization=1, initialization=1, physics=1 and was run under the Representative Concentration Pathways 8.5

4. MIROC5 = MIROC-ESM_r1i1p1_rcp85 which is the MICRO5 model where realization=1, initialization=1, physics=1 and was run under the Representative Concentration Pathways 8.5



\DATA\BASEHARVEST\

DinkeyThinOnly.txt: ASCII text file containing file calls, parameters, and input data for the LANDIS-II Leaf Biomass Harvest extension where the prescription is thinning only. Full description of variables and units can be found in the LANDIS-II Leaf Biomass Harvest v2.1 Extension User Guide and the Base Harvest LANDIS-II Extension v4.0 User Guide.

DinkeyThinRxFire_100.txt: ASCII text file containing file calls, parameters, and input data for the LANDIS-II Leaf Biomass Harvest extension; Dinkey Creek Fuel Reduction Thinning treatment where the prescription is thinning and prescribed fire. Full description of variables and units can be found in the LANDIS-II Leaf Biomass Harvest v2.1 Extension User Guide and the Base Harvest LANDIS-II Extension v4.0 User Guide.

DinkeyThinRxFire_OpCon.txt: ASCII text file containing file calls, parameters, and input data for the LANDIS-II Leaf Biomass Harvest extension; Dinkey Creek Fuel Reduction Thinning treatment where the prescription is thinning and prescribed fire. Prescribed fire is excluded from individual sites within a stand if they have not reached a minimum time since damaged by disturbance. Full description of variables and units can be found in the LANDIS-II Leaf Biomass Harvest v2.1 Extension User Guide and the Base Harvest LANDIS-II Extension v4.0 User Guide.

DinkeyThinRxFire_OpCon_Priority.txt: ASCII text file containing file calls, parameters, and input data for the LANDIS-II Leaf Biomass Harvest extension; Dinkey Creek fuel reduction thinning where treatment placement optimization approach was used to treat portions of the landscape that have an evidenced high probability of high severity fire. The prescription includes thinning and prescribed fire where prescribed fire is excluded from individual sites within a stand if they have not reached a minimum time since damaged by disturbance. Full description of variables and units can be found in the LANDIS-II Leaf Biomass Harvest v2.1 Extension User Guide and the Base Harvest LANDIS-II Extension v4.0 User Guide.


\DATA\CENTURYSUCCESSION\

bio-reductions-standard.txt: ASCII text file containing the biomass parameters for the LANDIS-II Age-only Disturbances - Biomass Parameters. This file is used when age-only disturbances kill biomass cohorts. Full description of variables and units can be found in the LANDIS-II Century Succession v4.0 User Guide.

century-succession_ProjClim_CCSM.txt: Main input file containing nearly all of the input parameters for the LANDIS-II Century Succession extension. It is an ASCII text file containing file calls, parameters, and input data where climate is projected by the CCSM4 (CCSM4_r6i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Century Succession v4.0 User Guide.

century-succession_ProjClim_CNRM.txt: Main input file containing nearly all of the input parameters for the LANDIS-II Century Succession extension. It is an ASCII text file containing file calls, parameters, and input data where climate is projected by the CNRMCM5 (CNRM-CM5_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Century Succession v4.0 User Guide.

century-succession_ProjClim_FGOALS.txt: Main input file containing nearly all of the input parameters for the LANDIS-II Century Succession extension. It is an ASCII text file containing file calls, parameters, and input data where climate is projected by the FGOALS-g2 (FGOALSg2_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Century Succession v4.0 User Guide.

century-succession_ProjClim_MIROC5.txt: Main input file containing nearly all of the input parameters for the LANDIS-II Century Succession extension. It is an ASCII text file containing file calls, parameters, and input data where climate is projected by the MIROC-ESM (MIROC-ESM_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Century Succession v4.0 User Guide.

ic_dinkey_shrubs_aged.txt: ASCII text file containing the definitions of the initial community classes for the LANDIS-II Century Succession extension. Full description of variables and units can be found in the LANDIS-II Century Succession v4.0 User Guide.


\DATA\CLIMATE\

Climate-generator-daymet_ProjClim_CCSM.txt: ASCII text file containing the main climate configuration for the LANDIS-II Century Succession extension, where climate is projected by the CCSM4 (CCSM4_r6i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Climate-generator-daymet_ProjClim_CNRM.txt: ASCII text file containing climate configuration for the LANDIS-II Century Succession extension, where climate is projected by the CNRMCM5 (CNRM-CM5_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Climate-generator-daymet_ProjClim_FGOALS.txt: ASCII text file containing climate configuration for the LANDIS-II Century Succession extension, where climate is projected by the FGOALS-g2 (FGOALSg2_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Climate-generator-daymet_ProjClim_MIROC5.txt: ASCII text file containing climate configuration for the LANDIS-II Century Succession extension, where climate is projected by the MIROC-ESM (MIROC-ESM_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Dinkey_CCSM4_RCP85.csv: Comma-delimited ASCII text file containing climate data for climate configuration, where climate is projected by the CCSM4 (CCSM4_r6i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Dinkey_CMIP_Historic.csv: Comma-delimited ASCII text file containing historic climate data for climate configuration. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Dinkey_CNRM_RCP85.csv: Comma-delimited ASCII text file containing climate data for climate configuration, where climate is projected by the CNRMCM5 (CNRM-CM5_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Dinkey_FGOALS_RCP85.csv: Comma-delimited ASCII text file containing climate data for climate configuration, where climate is projected by the FGOALS-g2 (FGOALSg2_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

Dinkey_MIROC5_RCP85.csv: Comma-delimited ASCII text file containing climate data for climate configuration, where climate is projected by the MIROC-ESM (MIROC-ESM_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Climate Library v4.0 User Guide.

DinkeyClimate_Daymet_Formatted.csv: Comma-delimited ASCII text file containing historic climate data for climate configuration.


\DATA\FIRE


DinkeyDFFS_DecadalProj.txt: Main input file containing nearly all of the input parameters for the LANDIS-II Dynamic Fuels and Fire System extension where the initial weather database is the season weather data. It is an ASCII text file containing file calls, parameters, and input data. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyDFFS_Severe_V2.txt: Main input file containing nearly all of the input parameters for the LANDIS-II Dynamic Fuels and Fire System extension where the initial weather database is the severe fire weather data. It is an ASCII text file containing file calls, parameters, and input data. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyDFFS_V2.txt: Main input file containing nearly all of the input parameters for the LANDIS-II Dynamic Fuels and Fire System extension where the initial weather database is the historic fire weather data. It is an ASCII text file containing file calls, parameters, and input data. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFireRegions.tif: Tiff file of the input map showing where the Fire ecoregions are located on the Dinkey Creek landscape for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_1.csv: Comma-delimited ASCII text file containing the initial weather database (season weather data) for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_2.csv: Comma-delimited ASCII text file containing year 5 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_3.csv: Comma-delimited ASCII text file containing year 10 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_4.csv: Comma-delimited ASCII text file containing year 15 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_5.csv: Comma-delimited ASCII text file containing year 20 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_6.csv: Comma-delimited ASCII text file containing year 25 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_7.csv: Comma-delimited ASCII text file containing year 30 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_8.csv: Comma-delimited ASCII text file containing year 35 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_9.csv: Comma-delimited ASCII text file containing year 40 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeyFW_ensemble_10.csv: Comma-delimited ASCII text file containing year 45 weather data for the Dynamic Weather Table for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

DinkeySlope.tif: Tiff file containing percent ground slope for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.

uphillaz.tif: Tiff file (and associated metadata uphillaz.tif.xml) containing the direction (azimuth) of uphill slope for the LANDIS-II Dynamic Fuels and Fire System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Fire System Extension v3.0 User Guide.


\DATA\LANDISII\

DinkeyEcoregions.tif: Tiff file of the input map showing where the ecoregions are located on the Dinkey Creek landscape. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

DinkeyEcoregions.txt: ASCII text file containing parameter definitions of the ecoregions on the Dinkey Creek landscape. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

DinkeyIC_Resampled.tif: Tiff file of the input map showing where the initial communities are located on the Dinkey Creek landscape.

DinkeySpecies.txt: ASCII text file containing table of basic parameters for tree species for the Dinkey Creek landscape. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

DinkeyStands.tif: Tiff file containing map that defines the Dinkey Creek landscape stands where each grid cell is a unique stand.

Idealized_ThinOnly_HistoricFire.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and fire effects are consistent with the historic, fire-maintained condition. The management scenario employed is mechanical thinning. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

Idealized_ThinOnly_HistoricFireLowP.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and fire effects are consistent with the historic, fire-maintained condition. The management scenario employed is mechanical thinning where areas are prioritized for treatment and excluded areas available to treat that had a low probability of severe fire. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

Idealized_ThinOnly_SevereFire.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and severe fire weather condition. The management scenario employed is mechanical thinning. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

Idealized_ThinOnly_SevereFireLowP.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and severe fire weather condition. The management scenario employed is mechanical thinning where areas are prioritized for treatment and excluded areas available to treat that had a low probability of severe fire. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

Idealized_ThinRxFire_HistoricFire.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and fire effects are consistent with the historic, fire-maintained condition. The management scenario employed is mechanical thinning and prescribed burning. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

Idealized_ThinRxFire_HistoricFireLowP.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and fire effects are consistent with the historic, fire-maintained condition. The management scenario employed is mechanical thinning and prescribed burning where areas are prioritized for treatment and excluded areas available to treat that had a low probability of severe fire. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

Idealized_ThinRxFire_SevereFire.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and severe fire weather condition. The management scenario employed is mechanical thinning and prescribed burning. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

Idealized_ThinRxFire_SevereFireLowP.txt: ASCII text file containing input files for LANDIS-II scenario where assuming a fully restored landscape (idealized landscape) and severe fire weather condition. The management scenario employed is mechanical thinning and prescribed burning where areas are prioritized for treatment and excluded areas available to treat that had a low probability of severe fire. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

OpCon_HSFPriority_ThinRxFire.txt: ASCII text file containing input files for LANDIS-II scenario where assuming severe fire weather and fuel reduction thinning where treatment placement optimization approach was used to treat portions of the landscape that have an evidenced high probability of high severity fire. The prescription includes thinning and prescribed fire where prescribed fire is excluded from individual sites within a stand if they have not reached a minimum time since damaged by disturbance. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

OpCon_ThinRxFire.txt: ASCII text file containing input files for LANDIS-II scenario where assuming severe fire weather data and fuel reduction treatment where the prescription is thinning and prescribed fire. Prescribed fire is excluded from individual sites within a stand if they have not reached a minimum time since damaged by disturbance. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

OpConMgmt.tif: Tiff file containing map that defines the Dinkey Creek landscape management areas.

OpConMgmt_priority.tif: Tiff file containing map that defines the Dinkey Creek landscape management areas.

ProjClimate_HSFPriority_CCSM.txt: ASCII text file containing parameters and file calls for LANDIS-II scenario where climate is projected by the CCSM4 (CCSM4_r6i1p1_rcp85) model and. the fuel treatment placement optimization approach was used to treat portions of the landscape that have an evidenced high probability of high severity fire. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

ProjClimate_HSFPriority_CNRM.txt: ASCII text file containing parameters and file calls for LANDIS-II scenario where climate is projected by the CNRMCM5 (CNRM-CM5_r1i1p1_rcp85) model and the fuel treatment placement optimization approach was used to treat portions of the landscape that have an evidenced high probability of high severity fire.. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

ProjClimate_HSFPriority_FGOALS.txt: ASCII text file containing parameters and file calls for LANDIS-II scenario where climate is projected by the FGOALS-g2 (FGOALSg2_r1i1p1_rcp85) model and the fuel treatment placement optimization approach was used to treat portions of the landscape that have an evidenced high probability of high severity fire. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

ProjClimate_HSFPriority_MIROC5.txt: ASCII text file containing parameters and file calls for LANDIS-II scenario where climate is projected by the MIROC-ESM (MIROC-ESM_r1i1p1_rcp85) model and the fuel treatment placement optimization approach was used to treat portions of the landscape that have an evidenced high probability of high severity fire.lea. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

ProjClimate_NoMan_CCSM.txt: ASCII text file containing parameters and file calls for LANDIS-II scenario where climate is projected by the CCSM4 (CCSM4_r6i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.

ProjClimate_NoMan_CNRM.txt: ASCII text file containing parameters and file calls for LANDIS-II scenario where climate is projected by the CNRMCM5 (CNRM-CM5_r1i1p1_rcp85) model. Full description of variables and units can be found in the LANDIS-II Model v7.0 User Guide.


\DATA\LEAFBIOMASS\

DinkeyLeafBio.txt: ASCII text file containing parameters for Leaf Biomass Output extension.

dynamic-leaf-biomass-fuels.txt: ASCII text file containing parameters, and input data for the LANDIS-II Dynamic Leaf Biomass Fuel System extension. Full description of variables and units can be found in the LANDIS-II Dynamic Leaf Biomass Fuel System Extension v2.0 User Guide.


\SUPPLEMENTS\

14-1-01-2_JFSP_final_report.pdf: Portable document format file (PDF) containing the 2018 JFSP Final Report (Project ID: 14-1-01-2): Outcomes prioritization on fuel treatment placement in extreme fire weather in 3 CFLRP landscapes.

LANDIS-II Base Harvest v4.0 User Guide.pdf: Portable document format file (PDF) containing a description of the Base Harvest extension for the LANDIS-II model.

LANDIS-II Century Succession v4.0 User Guide.pdf: Portable document format file (PDF) containing a description of the Century Succession extension for the LANDIS-II model.

LANDIS-II Climate Library v4.0 User Guide.pdf: Portable document format file (PDF) containing a description of the Climate library for the LANDIS-II model.

LANDIS-II Dynamic Fire System Extension v3.0 User Guide.pdf: Portable document format file (PDF) containing a description of the Dynamic Fuels and Fire System extension for the LANDIS-II model.

LANDIS-II Dynamic Fuels - Leaf Biomass v2.0 User Guide.pdf: Portable document format file (PDF) containing a description of the Dynamic Leaf Biomass Fuel System extension for the LANDIS-II model.

LANDIS-II Leaf Biomass Harvest v2.1 User Guide.pdf: Portable document format file (PDF) containing a description of the Leaf Biomass Harvest extension for the LANDIS-II model.

LANDIS-II Model v7.0 User Guide.pdf: Portable document format file (PDF) containing a description of the general formatting rules for input files, how to run a scenario, and input files common to all scenarios.
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