Height-diameter model of broad-leaved mixed forest based on species classification in Maoershan, Northeast China.
Ying Yong Sheng Tai Xue Bao
; 35(2): 307-320, 2024 Feb.
Article
in En
| MEDLINE
| ID: mdl-38523087
ABSTRACT
The complex stand structure and high species diversity of natural forests pose great challenges for analyzing stand growth and formulating reasonable plans for forest management. The height-diameter relationship is of great significance for predicting stand growth and formulating forest management measures. Based on survey data of 48 broad-leaved mixed forest plots in Maoershan, we classified 23 tree species into four groups based on species structure, growth characteristics and bionomics. We established a generalized model including stand, tree competition, species mixing and species diversity variables by reparameterization method, and a two-level mixed effect model of plot and tree species group. We tested the prediction ability of the model by leave-one-out cross-validation method. The results showed that the Ratkowsky (1990) model was the optimal basic model. The introduction of dominant height, basal area of trees larger than the object tree, basal area proportion of each species, and Shannon index could better explain the height-diameter relationship of broad-leaved mixed forest in Maoershan. The introduction of the mixed effect model of plot and tree species group could significantly improve the prediction accuracy of the model, with a Ra2 of 0.83. Under the same gradient of environmental factors, intolerant tree species exhibited higher tree heights than shade-tolerant tree species. In this study, we used the constructed tree height-diameter model to analyze the effects of species mixing and tree functional traits on tree height, which provided a theoretical basis for accurately predicting height of different tree species and analyzing the growth relationships in broadleaved mixed forests.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pinus
Country/Region as subject:
Asia
Language:
En
Journal:
Ying Yong Sheng Tai Xue Bao
Journal subject:
SAUDE AMBIENTAL
Year:
2024
Document type:
Article
Affiliation country:
China
Country of publication:
China