DOI: 10.1016/j.foreco.2016.12.007
Scopus记录号: 2-s2.0-85007071256
论文题名: Climate and species functional traits influence maximum live tree stocking in the Lake States, USA
作者: Ducey M.J. ; Woodall C.W. ; Bravo-Oviedo A.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 386 起始页码: 51
结束页码: 61
语种: 英语
英文关键词: Climate change
; Competition
; Functional traits
; Relative density
; Stand density management
; Stocking
Scopus关键词: Climate change
; Climate models
; Competition
; Dynamics
; Forestry
; Wood
; Climate change scenarios
; Forest inventory and analysis
; Forest management guidelines
; Functional traits
; Relative density
; Stand density managements
; Stocking
; Wood specific gravities
; Density (specific gravity)
; biomass
; climate change
; forest dynamics
; forest inventory
; forest management
; functional change
; guideline
; plant community
; population density
; silviculture
; Climates
; Forests
; Regression Analysis
; Trees
; USA
; Great Lakes [North America]
; Michigan
; Minnesota
; United States
; Wisconsin
英文摘要: Quantifying the density of live trees in forest stands and partitioning it between species or other stand components is critical for predicting forest dynamics and responses to management, as well as understanding the impacts of stand composition and structure on productivity. As plant traits such as shade tolerance have been proven to refine understanding of plant community dynamics, we extended a previous model relating maximum stand density to wood specific gravity to incorporate shade tolerance as an additional functional trait. Additionally, we included climatic variables that might influence ecological dynamics and modulate species-specific traits, across a region and also potentially over time under climate change scenarios. We used data from the USDA Forest Service, Forest Inventory and Analysis program for three states in the northern United States (Minnesota, Wisconsin, and Michigan) that reflect strong gradients in climate and species composition, to fit a maximum density model by quantile regression. The resulting strictly additive density measure conforms well to both existing silvicultural guidance and to observed densities of monocultures that lack such guidance. Wood specific gravity appears to interact with precipitation, while shade tolerance interacts with temperature, in driving maximum density relationships. Our proposed maximum stand density model is not only parsimonious for field application in management situations, but also empowers the evaluation of the effects of future climate and tree range scenarios on forest management guidelines. © 2016 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64530
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: University of New Hampshire, Department of Natural Resources and the Environment, 114 James Hall, 56 College Road, Durham, NH, United States; USDA Forest Service, Northern Research Station, 1992 Folwell Avenue, Saint Paul, MN, United States; Dpt. Silviculture and Management of Forest Systems, Forest Research Centre – INIA, Ctra A Coruña km. 7.5, Madrid, Spain; Sustainable Forest Management Research Institute, University of Valladolid and INIA, Ctra A Coruña km. 7.5, Madrid, Spain
Recommended Citation:
Ducey M.J.,Woodall C.W.,Bravo-Oviedo A.. Climate and species functional traits influence maximum live tree stocking in the Lake States, USA[J]. Forest Ecology and Management,2017-01-01,386