DOI: 10.1016/j.foreco.2014.03.014
Scopus记录号: 2-s2.0-84899494312
论文题名: Integrating climatic response in competition dependent tree-level growth models for northern hardwoods
作者: Girard F. ; Beaudet M. ; Mailly D. ; Messier C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 323 起始页码: 138
结束页码: 147
语种: 英语
英文关键词: Climate
; Deciduous tree species
; Forest ecology
; Model
; Response function
; Yield projections
Scopus关键词: Climate change
; Forestry
; Functions
; Models
; Climate
; Deciduous trees
; Forest ecology
; Response functions
; Yield projections
; Climate models
; Akaike information criterion
; climate change
; climate effect
; deciduous forest
; forest ecosystem
; forest management
; growth modeling
; interspecific competition
; phenology
; Ecology
; Forestry
; Models
; Species Identification
; Trees
; Canada
; Quebec [Canada]
; Acer
; Acer rubrum
; Acer saccharum
; Betula alleghaniensis
; Fagus
; Fagus grandifolia
英文摘要: With increased rates of climate change, it is imperative for forest managers to have access to models that can take into account the expected effects of climate change on tree growth. To this end, growth function are sometimes used that include climatic variables such as mean annual temperature or precipitation averaged over decades. Such growth models are usually relatively easy to develop but they do not take into account the fact that tree diameter growth on a given year is determined not by climatic conditions that prevailed up to 30. years before but mainly by climatic conditions that prevailed during the current and previous year. Our objective is determine if including climatic variables obtained from dendroclimatic response function will lead to growth models having a better fit to data than versions with 30-year average climatic conditions, or no climate at all. Growth models were developed for Betula alleghaniensis, Acer saccharum, Acer rubrum and Fagus grandifolia using data from south-eastern Quebec. Three types of growth function were compared. A first set of growth function was developed in which the potential growth of a tree was modeled as a function of tree size and site characteristics (vegetation type and drainage) to be further modified as a non-linear function of plot basal area. The effect of climate was not explicitly accounted for in this fort set of growth function, therefore they will be refered to as Climate-implicit models. A second set of growth function was developed in which we explicitly accounted for the effect of climate by incorporating 30-year mean annual temperature and precipitation in the growth function. In a third type of growth function, also climate-explicit, we incorporated the most significant recent climatic variables identified using climatic response function developed for each species based on dendrochronological and climatic data. The three types of models were compared based on the Akaike information criterion (AIC). Our results showed that Climate-explicit growth models with climatic variables obtained from response function analysis outperformed other growth models for three out of four species ( B. alleghaniensis, A. saccharum and F. grandifolia). Incorporating climate in the form of 30-year average climatic conditions brought some improvement over a non-climatic function for A. rubrum, but this was not the case for other species. Accounting for growth dependency on climate by including recent monthly climatic variables provided by response function could be a potentially useful approach for the development of a new lineage of tree growth models dealing with climate change. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65958
Appears in Collections: 影响、适应和脆弱性
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作者单位: Université de Montréal, Département de Géographie, Pavillon 520, ch. de la Cote-Sainte-Catherine C.P. 6128, Montréal, QC H3C 3J7, Canada; Ministère des Ressources naturelles du Québec, Direction de la recherche forestière, 2700, rue Einstein, Ste-Foy, QC G1P 3W8, Canada; Centre d'étude sur la forêt (CEF), Université du Québec à Montréal, Pavillon des Sciences biologiques, 141 Président-Kennedy, Bureau SB-2987, Montréal, QC H2X 1Y4, Canada; Institut des Sciences de la Forêt Tempérée, Université du Québec en Outaouais, Ripon, QC, Canada
Recommended Citation:
Girard F.,Beaudet M.,Mailly D.,et al. Integrating climatic response in competition dependent tree-level growth models for northern hardwoods[J]. Forest Ecology and Management,2014-01-01,323