Global S&T Development Trend Analysis Platform of Resources and Environment
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, Mark J., Jr.; Shaw, Terry M.; Coleman, Mark D. | |
2019-02-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 433页码:396-404 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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. |
英文关键词 | Maximum stand density index Stochastic frontier regression Climate Soil Douglas-fir Grand fir Ponderosa pine |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456902500040 |
WOS关键词 | THINNING BOUNDARY LINE ; MENZIESII VAR GLAUCA ; DOUGLAS-FIR ; STOCKING ; FORESTS ; REEVALUATION ; SEEDLINGS ; CLIMATE ; GROWTH ; RULE |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22891 |
专题 | 气候变化 |
作者单位 | Univ Idaho, Dept Forestry Rangeland & Fire Sci, Intermt Forestry Cooperat, 875 Perimeter Dr MS1133, Moscow, ID 83844 USA |
推荐引用方式 GB/T 7714 | Kimsey, Mark J., Jr.,Shaw, Terry M.,Coleman, Mark D.. Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA[J]. FOREST ECOLOGY AND MANAGEMENT,2019,433:396-404. |
APA | Kimsey, Mark J., Jr.,Shaw, Terry M.,&Coleman, Mark D..(2019).Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA.FOREST ECOLOGY AND MANAGEMENT,433,396-404. |
MLA | Kimsey, Mark J., Jr.,et al."Site sensitive maximum stand density index models for mixed conifer stands across the Inland Northwest, USA".FOREST ECOLOGY AND MANAGEMENT 433(2019):396-404. |
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