Predicting the Height Based on the Main Influence Factors for Dahurian Larch (larix Gmelinii) in the Great Khing’an Mountains, China
Year: 2023
Type: article
Abstract: It is difficult to meet the needs of forest investigation and management in different stands using an h-d model with the diameter at breast height (DBH) as the only variable to predict the height (h).To predict h accurately, we tested 12 frequently used h-d models based on 5083 Dahurian larch (Larix gmelinii) in the Great Khing'an Mountains, and constructed a structural equation model (SEM) with 15 factors to verify their effects on h, the main factors were screened as variables to improve the h-d model.The results demonstrated that the Chapman-Richards model was the best predictor of h.The dominant diameter (DD) and total basal area of all trees with a diameter larger than the target tree (LDTBA) had a significant influence on the observed h.By combining them as independent variables with the Chapman-Richards model terms, we found that modified model Equation 20 reduced the differential value from -0.044 to -0.010 compared with the Chapman-Richards model.The study proved that using SEM to select critical variables is an effective method to improve the accuracy of the h-d model.
Institution: Inner Mongolia Agricultural University
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
OpenAlex ID: W4380050122