Data release for: Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling
October 14, 2020
This data release provides inputs needed to run the LANDIS PRO forest landscape model and the LINKAGES 3.0 ecosystem process model for the area burned by the Black Dragon Fire in northeast China in 1987, and simulation results that underlie figures and analysis in the accompanying publication. The data release includes the fire perimeter of Great Dragon Fire; input data for LINKAGES including soils, landtype, and climate data; initial conditions of stands in the study area before the Great Dragon Fire; and maps of LANDIS PRO output for each model grid cell including total trees, total biomass (Mg/ha), and tree density (trees/ha) in two-year timesteps.
Citation Information
| Publication Year | 2020 |
|---|---|
| Title | Data release for: Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling |
| DOI | 10.5066/P9HRHBXZ |
| Authors | Wenru Xu, Hong S. He, Jacob S. Fraser, Todd J Hawbaker, Paul D Henne, Shengwu Duan, Zhiliang Zhu |
| Product Type | Data Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Geosciences and Environmental Change Science Center |
| Rights | This work is marked with CC0 1.0 Universal |
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Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling
Megafires are large wildfires that occur under extreme weather conditions and produce mixed burn severities across diverse environmental gradients. Assessing megafire effects requires data covering large spatiotemporal extents, which are difficult to collect from field inventories. Remote sensing provides an alternative but is limited in revealing post-fire recovery trajectories and the underlying
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Related
Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling
Megafires are large wildfires that occur under extreme weather conditions and produce mixed burn severities across diverse environmental gradients. Assessing megafire effects requires data covering large spatiotemporal extents, which are difficult to collect from field inventories. Remote sensing provides an alternative but is limited in revealing post-fire recovery trajectories and the underlying
Authors
Wenru Xu, Hong He, Jacob S. Fraser, Todd Hawbaker, Paul D. Henne, Shengwu Duan, Zhiliang Zhu
Todd Hawbaker
Research Ecologist
Research Ecologist
Email
Phone
Paul Henne, Ph.D.
Research Ecologist
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Email
Phone