Comparing independent climate-sensitive models of aboveground biomass and diameter growth with their compatible simultaneous model system for three larch species in China

Author:

Gao Zhigang123,Wang Qiuyan23,Hu Zongda4,Luo Peng2,Duan Guangshuang2,Sharma Ram P.5,Ye Qiaolin6,Gao Wenqiang2,Song Xinyu57,Fu Liyong23ORCID

Affiliation:

1. College of Animal Science and Technology, Inner Mongolia University for Nationalities, Tongliao 028000, P. R. China

2. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, P. R. China

3. Key Laboratory of Forest Management and Growth Modelling, National Forestry and Grassland Administration, Beijing 100091, P. R. China

4. College of Resources, Sichuan Agricultural University, Chengdu 611130, Sichuan province, P. R. China

5. Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Prague 6-Suchdol, Czech Republic

6. College of Information Science and Technology, Nanjing Forestry University, Nanjing, Jiangsu 210037, P. R. China

7. College of Computer and Information Techniques, Xinyang Normal University, Xinyang 464000, Henan Province, P. R. China

Abstract

Accurate estimate of tree biomass is essential for forest management. In recent years, several climate-sensitive allometric biomass models with diameter at breast height [Formula: see text] as a predictor have been proposed for various tree species and climate zones to estimate tree aboveground biomass (AGB). But the allometric models only account for the potential effects of climate on tree biomass and do not simultaneously explain the influence of climate on [Formula: see text] growth. In this study, based on the AGB data from 256 destructively sampled trees of three larch species randomly distributed across the five secondary climate zones in northeastern and northern China, we first developed a climate-sensitive AGB base model and a climate-sensitive [Formula: see text] growth base model using a nonlinear least square regression separately. A compatible simultaneous model system was then developed with the climate-sensitive AGB and [Formula: see text] growth models using a nonlinear seemingly unrelated regression. The potential effects of several temperature and precipitation variables on AGB and [Formula: see text] growth were evaluated. The fitting results of climatic sensitive base models were compared against those of their compatible simultaneous model system. It was found that a decreased isothermality ([mean of monthly (maximum temperature-minimum temperature)]/(Maximum temperature of the warmest month-Minimum temperature of the coldest month)) and total growing season precipitation, and increased annual precipitation significantly increased the values of AGB; an increase of temperature seasonality (a standard deviation of the mean monthly temperature) and precipitation seasonality (a standard deviation of the mean monthly precipitation) could lead to the increase of [Formula: see text]. The differences of the model fitting results between the compatible simultaneous system with the consideration of climate effects on both AGB and [Formula: see text] growth and its corresponding climate-sensitive AGB and [Formula: see text] growth base models were very small and insignificant [Formula: see text]. Compared to the base models, the inherent correlation of AGB with [Formula: see text] was taken into account effectively by the proposed compatible model system developed with the climate-sensitive AGB and [Formula: see text] growth models. In addition, the compatible properties of the estimated AGB and [Formula: see text] were also addressed substantially in the proposed model system.

Funder

the Project for Science and Technology Open Cooperation of Henan Province

the Chinese National Natural Science Foundations

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modelling and Simulation

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