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

Author(s):

Loudermilk, E. Louise; Krofcheck, Daniel J.; Hurteau, Matthew D.; Scheller, Robert M.

Publication Year:

2019

How to Cite:

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

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.

Keywords:

environment; Fire; Fire effects on environment; Prescribed fire; Ecology, Ecosystems, & Environment; Natural Resource Management & Use; Forest management; fire weather; climate; forest carbon; fuel treatments; wildland fire; carbon sequestration; fire emissions; mixed-conifer; LANDIS-II; landscape modeling; forest disturbance; Joint Fire Science Program; JFSP; California; Dinkey Creek watershed; Sierra Nevada

Related publications:

• 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: 729- 737. https://doi.org/10.1111/gcb.13913
• 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
• Loudermilk, E. Louise; Scheller, Robert M.; Hurteau, Matthew D. Unpublished material. 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 (also included in data publication download). https://www.firescience.gov/projects/14-1-01-2/project/14-1-01-2_final_report.pdf

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