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- Title
基于不同可加性方法的黑龙江省红松 人工林林分生物量模型.
- Authors
辛士冬; 严云仙; 姜立春
- Abstract
Large-scale estimation of forest biomass has received much attention. Constructing a stand-level biomass model is a method for estimating tree layer biomass. ln this study, we constructed stand biomass models of Korean pine plantations based on aggregation method 1, aggregation method 2, adjustment method, and disaggregation method. The prediction precision of four additive methods was compared and analyzed to provide theoretical basis for biomass prediction of Korean pine plantations in Heilongjiang Province. Weighted functions were used to eliminate the heterosce-dastieity of each model, with the leave-one-out cross validation (LOOCY) as the validation method. The results showed that the overall prediction ability of the adjustment method was slightly better than other methods. The specific prediction precision was ranked as adjustment method > aggregation method I > aggregation method 2 > disaggregation method. The prediction precision of four additive methods was not consistent when considering their prediction ability of different stand basal areas. When the stand basal area of Korean pine plantations was distributed in the interval of 0-10 or 50-60 m2 • hm -2, the parameter estimation values of disaggagation method performed better. When the stand basal area was distributed in other intervals, the parameter estimation values of adjustment method was better.
- Subjects
HEILONGJIANG Sheng (China); FOREST biomass; PINUS koraiensis; BIOMASS estimation; FORECASTING; PARAMETER estimation
- Publication
Yingyong Shengtai Xuebao, 2020, Vol 31, Issue 10, p3322
- ISSN
1001-9332
- Publication type
Article
- DOI
10.13287/j.1001-9332.202010.003