气候变化领域集成服务门户(CCPortal): Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA

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DOI	10.1016/j.foreco.2018.11.013
	Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA
	Kimsey M.J.; Jr.; Shaw T.M.; Coleman M.D.
发表日期	2019
ISSN	0378-1127
起始页码	396
结束页码	404
卷号	433
英文摘要	Density management is a key silvicultural tool for developing management prescriptions that maintain and enhance forest health and productivity, particularly in droughty, fire-prone ecosystems of the Inland Northwest, USA. Within this context, understanding the role of species mixing, climate, topography, and soil properties on maximum stand density is critical for predicting forest stand response to management given a suite of site characteristics and species composition. We assembled a dataset from public and private land management organizations that allowed us to test the role of ecological variables on modifying maximum stand density frontiers. Maximum stand density frontier models were built for selected conifer species using stochastic frontier regression. The influence of species mixing was assessed by including as a covariate basal area proportion of the three conifer species of interest in this study: Pinus ponderosa var. ponderosa, Pseudotsuga menziesii var. glauca, and Abies grandis var. idahoensis. A single, parsimonious model was found to fit each species, with variable coefficients reflecting species adaptation to varying abiotic site factors across the region. Site factors that increased maximum density included cool, moist conditions, soils containing volcanic ash over coarse-textured bedrock, and high tree-species diversity. These observations correspond to regional silvicultural guidance, thereby providing both a site-sensitive, quantitative maximum density measure for mixed species stands, and a tool for evaluating the effect of climate scenarios on future stand carrying capacity. © 2018 Elsevier B.V.
英文关键词	Climate; Douglas-fir; Grand fir; Maximum stand density index; Ponderosa pine; Soil; Stochastic frontier regression
语种	英语
scopus关键词	Ecology; Mixing; Soil testing; Soils; Statistical tests; Stochastic models; Stochastic systems; Value engineering; Volcanoes; Climate; Douglas fir; Grand fir; Ponderosa pines; Stand density index; Stochastic frontier; Forestry; abiotic factor; basal area; carrying capacity; climate effect; coniferous tree; forest health; forest management; index method; land management; regression analysis; silviculture; stand structure; Abies Grandis; Ecology; Forestry; Mixing; Pseudotsuga; Statistical Analysis; United States; Abies grandis; Coniferophyta; Pinus ponderosa var. ponderosa; Pseudotsuga; Pseudotsuga menziesii
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/156272
作者单位	University of Idaho, Faculty of Forestry, Rangeland and Fire Sciences – Intermountain Forestry Cooperative, 875 Perimeter Dr MS1133, Moscow, ID 83844-1133, United States
推荐引用方式 GB/T 7714	Kimsey M.J.,Jr.,Shaw T.M.,et al. Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA[J],2019,433.
APA	Kimsey M.J.,Jr.,Shaw T.M.,&Coleman M.D..(2019).Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA.Forest Ecology and Management,433.
MLA	Kimsey M.J.,et al."Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA".Forest Ecology and Management 433(2019).