Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing’an Mountains, Northeast China.

doi:10.13287/j.1001-9332.201607.007

Abstract

Abstract: 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.

HU Hai-qing, LU Xin, SUN Long, GUAN Dao. Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing’an Mountains, Northeast China.[J]. Chinese Journal of Applied Ecology, 2016, 27(7): 2212-2224.

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