期刊
FORESTS
卷 13, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/f13030468
关键词
nonlinear mixed-effects model; height-diameter model; climate change; climate-sensitive growth model
类别
资金
- National Natural Science Foundation of China [31870623]
The height-diameter relationship of trees is crucial for forest investigation and estimating carbon storage. This study examined how climate change affects this relationship in larch plantations in northern and northeastern China. By analyzing measurement data from national forest inventories, climate-sensitive height-diameter models were developed and used to assess the relationship under different climate change scenarios. The results showed that climate change had varying effects on different tree species and sizes, with larger trees being more sensitive to climate change.
Tree height-diameter relationship is very important in forest investigation, describing forest structure and estimating carbon storage. Climate change may modify the relationship. However, our understanding of the effects of climate change on the height-diameter allometric relationship is still limited at large scales. In this study, we explored how climate change effects on the relationship varied with tree species and size for larch plantations in northern and northeastern China. Based on the repeated measurement data of 535 plots from the 6th to 8th national forest inventory of China, climate-sensitive tree height-diameter models of larch plantations in north and northeast China were developed using two-level nonlinear mixed effect (NLME) method. The final model was used to analyze the height-diameter relationship of different larch species under RCP2.6, RCP 4.5, and RCP8.5 climate change scenarios from 2010 to 2100. The adjusted coefficient of determination R-adj(2), mean absolute error (MAE) and root mean squared error (RMSE) of the NLME models for calibration data were 0.92, 0.76 m and 1.06 m, respectively. The inclusion of climate variables mean annual temperature (MAT) and Hargreaves climatic moisture deficit (CMD) with random effects was able to increase R-adj(2) by 19.5% and reduce the AIC (Akaike's information criterion), MAE and RMSE by a 22.2%, 44.5% and 41.8%, respectively. The climate sensitivity of larch species was ranked as L. gmelinii > the unidentified species group > L. principis > L. kaempferi > L. olgensis under RCP4.5, but L. gmelinii > L. principis > the unidentified species group > L. olgensis > L. kaempferi under RCP2.6 and RCP8.5. Large trees were more sensitive to climate change than small trees.
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