Prediction model of moisture content of dead fine fuel in forest plantations on Maoer Mountain, Northeast China

• DOI: 10.1007/s11676-020-01280-x
• Publication Date: 2021-01-04T06:03:29Z
• Authors: Maombi Mbusa Masinda; Fei Li; Qi Liu; Long Sun; Tongxin Hu
• Keywords: Larix gmelinii; Pinus koraiensis

Abstract Preventing and suppressing forest fires is one of the main tasks forestry agencies to reduce resource loss requires a thorough understanding importance factors affecting their occurrence. This study was carried out in plantations on Maoer Mountain order develop models for predicting moisture content dead fine fuel using meteorological soil variables. Models by Nelson (Can J For Res 14:597–600, 1984) Van Wagner Pickett Service 33, 1985) describing equilibrium as function relative humidity temperature were evaluated. A random generalized additive built select most important variables content. Nelson's model accurate Pinus koraiensis, sylvestris, Larix gmelinii mixed — Ulmus propinqua fuels. The showed that regression temperature, rain drivers In addition combined effects rainfall humidity, solar radiation or wind speed also significant some sites. P. koraiensis sylvestris plantations, where parameters measured, rain, accuracies similar, however, more but underestimated effect moisture.