Home About Browse Search
Svenska


Predicting Post-Fire Tree Mortality in a Temperate Pine Forest, Korea

Kwon, Semyung and Kim, Sanghyun and Kang, Wonseok and Park, Ki-Hyung and Kim, Chan-Beom and Girona, Miguel M. and Montoro Girona, Miguel (2021). Predicting Post-Fire Tree Mortality in a Temperate Pine Forest, Korea. Sustainability. 13 , 569
[Research article]

[img] PDF
3MB

Abstract

Warmer and drier conditions in temperate regions are increasing the length of the wildfire season. Given the greater fire frequency and extent of burned areas under climate warming, greater focus has been placed on predicting post-fire tree mortality as a crucial component of sustainable forest management. This study evaluates the potential of logistic regression models to predict post-fire tree mortality in Korean red pine (Pinus densiflora) stands, and we propose novel means of evaluating bark injury. In the Samcheok region of Korea, we measured topography (elevation, slope, and aspect), tree characteristics (tree/crown height and diameter at breast height (DBH)), and bark injuries (bark scorch height/proportion/index) at three sites subjected to a surface fire. We determined tree status (dead or live) over three years after the initial fire. The bark scorch index (BSI) produced the best univariate model, and by combining this index with the DBH produced the highest predictive capacity in multiple logistic regression models. A three-variable model (BSI, DBH, and slope) enhanced this predictive capacity to 87%. Our logistic regression analysis accurately predicted tree mortality three years post fire. Our three-variable model provides a useful and convenient decision-making tool for land managers to optimize salvage harvesting of post-fire stands.

Authors/Creators:Kwon, Semyung and Kim, Sanghyun and Kang, Wonseok and Park, Ki-Hyung and Kim, Chan-Beom and Girona, Miguel M. and Montoro Girona, Miguel
Title:Predicting Post-Fire Tree Mortality in a Temperate Pine Forest, Korea
Series Name/Journal:Sustainability
Year of publishing :2021
Volume:13
Article number:569
Number of Pages:16
Publisher:MDPI
ISSN:2071-1050
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:bark scorch index (BSI), forest ecosystems, natural disturbances, sustainable management, tree mortality, logistic regression, Pinus densiflora, wildfire
URN:NBN:urn:nbn:se:slu:epsilon-p-110663
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-110663
Additional ID:
Type of IDID
DOI10.3390/su13020569
Web of Science (WoS)000611737600001
ID Code:22433
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Wildlife, Fish and Environmental Studies
Deposited By: SLUpub Connector
Deposited On:19 Feb 2021 12:23
Metadata Last Modified:19 Feb 2021 12:31

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits