Next Article in Journal
Evaluating the Effectiveness of Unmanned Aerial Systems (UAS) for Collecting Thematic Map Accuracy Assessment Reference Data in New England Forests
Next Article in Special Issue
Associations between Road Density, Urban Forest Landscapes, and Structural-Taxonomic Attributes in Northeastern China: Decoupling and Implications
Previous Article in Journal
Color Stabilization of Siberian and European Larch Wood Using UVA, HALS, and Nanoparticle Pretreatments
Previous Article in Special Issue
Tree-Lists Estimation for Chinese Boreal Forests by Integrating Weibull Diameter Distributions with MODIS-Based Forest Attributes from kNN Imputation
Open AccessArticle

Modeling Post-Fire Tree Mortality Using a Logistic Regression Method within a Forest Landscape Model

School of Natural Resources, University of Missouri, 203 ABNR Bldg, Columbia, MO 65211, USA
USDA Forest Service, Northern Research Station, 202 ABNR Bldg., Columbia, MO 65211, USA
Author to whom correspondence should be addressed.
Forests 2019, 10(1), 25;
Received: 6 December 2018 / Revised: 21 December 2018 / Accepted: 27 December 2018 / Published: 3 January 2019
Fire is a multi-scale process that is an important component in determining ecosystem age structures and successional trajectories across forested landscapes. In order to address questions regarding fire effects over large spatial scales and long temporal scales researchers often employ forest landscape models which can model fire as a spatially explicit disturbance. Within forest landscape models site-level fire effects are often simplified to the species, functional type, or cohort level due to time or computational resource limitations. In this study we used a subset of publicly available U.S. Forest Service forest inventory data (FIA) to estimate short-term fire effects on tree densities across multiple stem diameter classes in two ecological sections in the central and southern United States. We found that FIA plots where low-intensity fires occurred within the preceding five years in the Ozark Highlands ecological section had significantly reduced stem densities in the two smallest diameter classes and in the Gulf Coastal Plains and Flatwoods fire reduced stem densities in the three smallest diameter classes. Using an independent subset of FIA plots we then parameterized and calibrated a forest landscape model to simulate site-level fire effects using a logistic regression based method and compare the results to previous methods of modeling fire effects. When representative landscapes from both study areas were simulated under a low-intensity fire regime using a forest landscape model the logistic regression probability method of modeling fire effects produced a similar reduction in stem densities while the previous age-cohort method overestimated density reductions across diameter classes. A more realistic representation of fire effects, particularly in low intensity fire regimes, increases the utility of forest landscape models as tools for planning and management. View Full-Text
Keywords: forest landscape modeling; fire effect modeling; LANDIS PRO forest landscape modeling; fire effect modeling; LANDIS PRO
Show Figures

Figure 1

MDPI and ACS Style

Fraser, J.S.; Wang, W.J.; He, H.S.; Thompson, F.R., III. Modeling Post-Fire Tree Mortality Using a Logistic Regression Method within a Forest Landscape Model. Forests 2019, 10, 25.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop