Campus Units

Natural Resource Ecology and Management

Document Type

Article

Publication Version

Published Version

Publication Date

2016

Journal or Book Title

Photogrammetric Engineering & Remote Sensing

Volume

82

Issue

11

First Page

853

Last Page

863

DOI

10.14358/PERS.82.11.853

Abstract

Spatially explicit modeling of recovering forest structure within two years following wildfire disturbance has not been attempted, yet such knowledge is critical for determining successional pathways. We used remote sensing and field data, along with digital climate and terrain data, to model and map early-seral aspen structure and vegetation species richness following wildfire. Richness was the strongest model (RMSE = 2.47 species, Adj. R2 = 0.60), followed by aspen stem diameter, basal area (BA), height, density, and percent cover (Adj. R2 range = 0.22 to 0.53). Effects of pre-fire aspen BA and fire severity on post-fire aspen structure and richness were analyzed. Post-fire recovery attributes were not significantly related to fire severity, while all but percent cover and richness were sensitive to pre-fire aspen BA (Adj. R2 range = 0.12 to 0.33, p <0.001). This remote mapping capability will enable improved prediction of future forest composition and structure, and associated carbon stocks.

Comments

This is an article from Photogrammetric Engineering & Remote Sensing 82 (2016): 853, doi: 10.14358/PERS.82.11.853. Posted with permission.

Rights

Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.

Language

en

File Format

application/pdf

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