全球智库信息集成服务系统(G2TT): Modeling stand-level mortality based on maximum stem number and seasonal temperature.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.foreco.2016.12.001
	Modeling stand-level mortality based on maximum stem number and seasonal temperature.
	Kim M; Lee W-K; Choi G-M; Song C; Lim C-H; Moon J; Piao D; Kraxner F
发表日期	2017
出处	Forest Ecology and Management 386: 37-50
出版年	2017
语种	英语
摘要	Mortality is a key process in forest stand dynamics. However, tree mortality is not well understood, particularly in relation to climatic factors. The objectives of this study were to: (i) determine the patterns of maximum stem number per ha (MSN) over dominant tree height from 5-year remeasurements of the permanent sample plots for temperate forests [Red pine (Pinus densiflora), Japanese larch (Larix kaempferi), Korean pine (Pinus koraiensis), Chinese cork oak (Quercus variabilis), and Mongolian oak (Quercus mongolica)] using Sterba’s theory and Korean National Forest Inventory (NFI) data, (ii) develop a stand-level mortality (self-thinning) model using the MSN curve, and (iii) assess the impact of temperature on tree mortality in semi-variogram and linear regression models. The MSN curve represents the upper boundary of observed stem numbers per ha. The developed mortality model with our results showed a high degree of reliability (R2 = 0.55–0.81) and no obvious dependencies or patterns in residuals. However, spatial autocorrelation was detected from residuals of coniferous species (Red pine, Japanese larch and Korean pine), but not for oak species (Chinese cork oak and Mongolian oak). Based on the linear regression analysis of residuals, we found that the mortality of coniferous forests tended to increase with the rising seasonal temperature. This is more evident during winter and spring months. Conversely, oak mortality did not significantly vary with increasing temperature. These findings indicate that enhanced tree mortality due to rising temperatures in response to climate change is possible, especially in coniferous forests, and is expected to contribute to forest management decisions.
主题	Ecosystems Services and Management (ESM)
关键词	Maximum stem number Temperate forest Tree mortality National forest inventory Temperature Self-thinning
URL	http://pure.iiasa.ac.at/id/eprint/14209/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/131070
推荐引用方式 GB/T 7714	Kim M,Lee W-K,Choi G-M,et al. Modeling stand-level mortality based on maximum stem number and seasonal temperature.. 2017.

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文件名称/大小	资源类型	版本类型	开放类型	使用许可
Tree_Mortality_Model（199KB）	智库出版物		限制开放	CC BY-NC-SA	浏览