Hu Hai Qing, Lu Xin, Sun Long, Guan Dao
College of Forestry, Northeast Forestry University, Harbin 150040, China.
Chifeng City Forestry Bureau, Chifeng 024000, Inner Mongolia, China.
Ying Yong Sheng Tai Xue Bao. 2016 Jul;27(7):2212-2224. doi: 10.13287/j.1001-9332.201607.007.
The fuel moisture content dynamics of mixed forest of Populus davidiana-Betula platyphylla, Larix gmelinii, Pinus sylvestris var. mongolica, mixed forest of L. gmelinii-B. platyphylla, B. platyphylla at different slope positions in spring and autumn were investigated in Xilinji Forestry Bureau ofthe Great Xing'an Mountains region. The moisture content prediction models of different stands in different seasons were established and the predicted errors were analyzed.The results showed that the fuel moisture content in the same stand varied with slope position. The mean absolute error of Nelson model (0.13) was lower than that of Simard model (0.14), and was significantly lower than that of meteorological element regression model (0.25). The prediction accuracy of the autumn model was higher than the spring model and spring-autumn mixed model.
在大兴安岭地区西林吉林业局,对春季和秋季不同坡位的山杨-白桦混交林、兴安落叶松林、樟子松林、兴安落叶松-白桦混交林、白桦林的燃料含水率动态进行了研究。建立了不同林分不同季节的含水率预测模型,并对预测误差进行了分析。结果表明,同一林分的燃料含水率随坡位而变化。尼尔森模型的平均绝对误差(0.13)低于西马尔德模型(0.14),且显著低于气象要素回归模型(0.25)。秋季模型的预测精度高于春季模型和春秋混合模型。