Modeling Long-Term Fire-Caused Mortality of Douglas-Fir

IF 1.5 4区 农林科学 Q2 FORESTRY Forest Science Pub Date : 2024-04-10 DOI:10.1093/forestscience/34.1.190
Kevin C. Ryan, David L. Peterson, Elizabeth D. Reinhardt
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Abstract

Mortality was determined in a stand of Douglas-fir 8 years after 20 plots were treated with light surface fires. Logistic regression was used to model long-term mortality as functions of morphological variables measured shortly after burning. Independent variables were diameter at breast height, height of needle scorch, percentage of the prefire crown volume scorched, season of burn, and the number of quadrants with dead cambium at 1.4 m bole height. Mortality increased with increasing scorch height, percent crown scorch, and dead cambium. It decreased with larger diameter. The best predictor of mortality was the number of quadrants with dead cambium. Percentage of crown volume scorched was a better predictor than lethal scorch height. For a given level of damage, mortality following fall season fires was slightly higher than following spring fires. Models may be used in planning prescribed fires and for salvaging fire-damaged Douglas-fir. For. Sci. 34(1):190-199.
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花旗松长期火灾死亡率建模
在对 20 个地块进行轻度地表火烧处理 8 年后,对花旗松林地的死亡率进行了测定。采用逻辑回归法建立了长期死亡率模型,该模型与燃烧后不久测量的形态变量的函数相关。自变量包括胸径、针叶焦枯高度、火烧前树冠焦枯面积百分比、火烧季节以及树干高度为 1.4 米时有枯死心皮的象限数量。死亡率随着烧焦高度、树冠烧焦百分比和枯死心皮的增加而增加。直径越大,死亡率越低。预测死亡率的最佳指标是有枯死心皮的象限数。树冠焦枯的百分比比致命焦枯高度更能预测死亡率。在一定的破坏程度下,秋季火灾后的死亡率略高于春季火灾后的死亡率。模型可用于规划预设火灾和抢救被火损坏的花旗松。For.34(1):190-199.
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来源期刊
Forest Science
Forest Science 农林科学-林学
CiteScore
2.80
自引率
7.10%
发文量
45
审稿时长
3 months
期刊介绍: Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management. Forest Science is published bimonthly in February, April, June, August, October, and December.
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