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DOI10.1016/j.foreco.2020.118065
Incorporating climate effects in Larix gmelinii improves stem taper models in the Greater Khingan Mountains of Inner Mongolia, northeast China
Liu Y.; Trancoso R.; Ma Q.; Yue C.; Wei X.; Blanco J.A.
发表日期2020
ISSN0378-1127
卷号464
英文摘要Estimating timber volume and carbon stock in forests is fundamental for silviculture and for accurate estimation of national and global carbon budgets. Taper models are important tools for predicting diameter at any height along a tree bole. Mean annual temperature (MAT) and mean annual precipitation (MAP) influence tree growth, but their precise effects on stem shape are still poorly understood and climatic factors are seldom included in taper models. To evaluate the effect of climate on tree stems, we incorporated MAT and MAP as covariates in the Kozak (2004) model to improve model performance in goodness-of-fit. The Kozak (2004) model with the incorporation of MAT and MAP was refitted using nonlinear mixed-effects (NLME) modeling techniques to account for within-sample tree heteroscedasticity and autocorrelation structure in residuals from data measured at different points along the same individual tree stem of Larix gmelinii (Rupr.). Results showed that the predictive accuracy of the Kozak (2004) model was improved by incorporating MAT and MAP as covariates. The Kozak (2004) model incorporating both MAT and MAP had the highest prediction accuracy for stem diameter, closely followed by the model incorporating only MAT and then the model incorporating only MAP. MAT effect on tree stem shape was stronger than that of MAP. The NLME Kozak (2004) model incorporating MAT and MAP with exponential variance function and first-order continuous autoregressive correlation structure (CAR(1) model) removed the heteroscedasticity and autocorrelation in the residuals, had the best prediction performance. Therefore, such refined model is recommended for planning and management of natural L. gmelinii forests. In conclusion, incorporating the effect of climate variables in stem taper equations could significantly improve timber volume and biomass estimations, particularly in harsh environments, such as natural boreal forests. © 2020 Elsevier B.V.
英文关键词Mean annual precipitation; Mean annual temperature; Non-linear mixed-effects model; Stem form; Variable taper function
语种英语
scopus关键词Autocorrelation; Budget control; Carbon; Forecasting; Forestry; Timber; Mean annual precipitation; Mean annual temperatures; Nonlinear mixed effects; Stem form; Taper function; Climate models; accuracy assessment; carbon sequestration; climate effect; deciduous forest; diameter; forestry modeling; precipitation (climatology); silviculture; stem; temperature effect; timber; Carbon; Cost Control; Forecasts; Forestry; Forests; Maps; Models; Trees; China; Da Hinggan Mountains; Nei Monggol; Larix gmelinii
来源期刊Forest Ecology and Management
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/155331
作者单位College of Forestry, Inner Mongolia Agricultural University, Hohhot, 010019, China; Department of Earth, Environmental and Geographic Sciences, University of British Columbia (Okanagan), 1177 Research Road, Kelowna, British Columbia V1V 1V7, Canada; Global Change Institute, University of Queensland, Brisbane, Queensland 4072, Australia; Department of Forestry, Mississippi State University, Mississippi StateMS 39762, United States; Forest Res Inst Baden Wurttemberg, Wonnhaldestr 4, Freiburg, D-79100, Germany; Departamento de Ciencias, Universidad Pública de Navarra, Campus de Arrosadía, Pamplona, Navarra 31013, Spain
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Liu Y.,Trancoso R.,Ma Q.,et al. Incorporating climate effects in Larix gmelinii improves stem taper models in the Greater Khingan Mountains of Inner Mongolia, northeast China[J],2020,464.
APA Liu Y.,Trancoso R.,Ma Q.,Yue C.,Wei X.,&Blanco J.A..(2020).Incorporating climate effects in Larix gmelinii improves stem taper models in the Greater Khingan Mountains of Inner Mongolia, northeast China.Forest Ecology and Management,464.
MLA Liu Y.,et al."Incorporating climate effects in Larix gmelinii improves stem taper models in the Greater Khingan Mountains of Inner Mongolia, northeast China".Forest Ecology and Management 464(2020).
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