Data and code associated with: Hansen, W.D., M.A. Krawchuk, A.T. Trugman, and A.P. Williams. The Dynamics Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation. Environmental Modelling and Software 156 (2022), article 105473.

Version 2 2022-11-16, 20:09

Version 1 2022-08-23, 20:40

dataset

posted on 2022-11-16, 20:09 authored by Winslow Hansen, M. A. Krawchuk, Anna T. Trugman, A. Park Williams

These are data files and code associated with,

Hansen, W.D., M.A. Krawchuk, A.T. Trugman, and A.P. Williams. The Dynamics Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation. Environmental Modelling and Software 156 (2022), article 105473.

Abstract:

Fire is a dominant disturbance in temperate and boreal biomes, and increasing burned area with climate change may fundamentally alter forests. Improved information about how fire-induced changes to forests may feedback to affect subsequent burning at regional scales could inform forest management and climate-mitigation strategies. However, fire is simplistically represented in Earth System Models, and regional statistical fire models often assume sufficient fuels, contributing to uncertainty in future projections. To address this challenge, we developed the Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST). DYNAFFOREST represents the hierarchical structuring of forests, from individual cohorts to continental extents, making it possible to simulate feedbacks between fire and forests at broad scales over decades to centuries. We parameterized DYNAFFOREST for the western United States of America and benchmarked simulations with observations. DYNAFFOREST recreated patterns of forest cover, structure, and downed fuels, and was capable of capturing average 20th-century fire activity.

File list:

The zipped file Hansen_DYNAFFOREST Development and evaluation_paper_data archive.zip contains,

Non spatial data: 201 files, 13 folders. Includes text (txt), comma separated value (csv), and tag image file (tif) file formats.
Spatial data: 20 files, 5 folders. Includes NetCDF (.nc) and tif file formats.
Scripts: 11 files, 3 folders. Includes R script (r) and R Markdown (rmd) formats.

Hansen_environmental modeling and software_metadata_SHARE.docx: contains full project documentation and metadata, including definitions for variables in data files.

Funding

Gordon and Betty Moore Foundation #GBMF10763

Royal Bank of Canada

Environmental Defense Fund

National Science Foundation OPP 2116863

Zegar Family Foundation

United States Department of Energy DESC0022302

National Science Foundation 2003205

National Science Foundation 2017949

USDA NIFA 2018-67012-31496

University of California Laboratory Fees Research Program LFR-20-652467

History

Geographic description

Western United States

Time period

January 2018 - October 2021.

Methodology

We developed a coupled fire and forest ecosystem model called the Dynamic Temperate and Boreal Fire and Forest ecosystem Simulator (DYNAFFOREST). DYNAFFOREST is broken into two modules: a forest-ecosystem module and a fire module. We constructed DYNAFFOREST with a hierarchical structure where the forest-ecosystem module operates at a 1-km spatial resolution, and the fire module operates at a 12-km resolution. The time step of both modules is annual. We then evaluated how DYNAFFOREST performs relative to a set of observed benchmarks. See Hansen_environmental modeling and software_metadata_SHARE.docx for complete methodology.

Software

DYNAFFOREST (DYNAmic Temperate and Boreal Fire and FORest-EcosySTem Simulator). Software requirements: R statistical environment and language.

Investigator 1

Dr. Winslow Hansen

Investigator 1 contact information

hansenw@caryinstitute.org

Data Contact

datamanagement@caryinstitute.org

Data Sharing Statement

The Cary Institute of Ecosystem Studies furnishes data under the following conditions: The data have received quality assurance scrutiny, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: Please click on the Cite button on this page.

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Keywords

climate change ecosystem model forest resilience natural disturbances scaling wildfire data

Licence

CC BY 4.0

Exports

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BibTeX

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