DOI: 10.1016/j.foreco.2016.12.001
Scopus记录号: 2-s2.0-85007035032
论文题名: Modeling stand-level mortality based on maximum stem number and seasonal temperature
作者: Kim M. ; Lee W.-K. ; Choi G.-M. ; Song C. ; Lim C.-H. ; Moon J. ; Piao D. ; Kraxner F. ; Shividenko A. ; Forsell N.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 386 起始页码: 37
结束页码: 50
语种: 英语
英文关键词: Maximum stem number
; National forest inventory
; Self-thinning
; Temperate forest
; Temperature
; Tree mortality
Scopus关键词: Climate change
; Regression analysis
; Temperature
; National forest inventories
; Self-thinning
; Stem numbers
; Temperate forests
; Tree mortality
; Forestry
; coniferous forest
; deciduous forest
; ecosystem modeling
; environmental factor
; forest inventory
; forest management
; mortality
; population density
; seasonal variation
; self thinning
; stand dynamics
; stem
; temperate forest
; temperature effect
; Larix kaempferi
; Pinus densiflora
; Pinus koraiensis
; Pinus resinosa
; Pseudolarix kaempferi
; Quercus mongolica
; Quercus suber
; Quercus variabilis
英文摘要: 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. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64525
Appears in Collections: 影响、适应和脆弱性
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作者单位: Division of Environmental Science and Ecological Engineering, Korea University, Seoul, South Korea; Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Schlossplatz 1, Laxenburg, Austria; Korea Forest Inventory Center, National Forestry Cooperative Federation, Seoul, South Korea
Recommended Citation:
Kim M.,Lee W.-K.,Choi G.-M.,et al. Modeling stand-level mortality based on maximum stem number and seasonal temperature[J]. Forest Ecology and Management,2017-01-01,386