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DOI10.1016/j.foreco.2018.12.006
More than climate? Predictors of tree canopy height vary with scale in complex terrain, Sierra Nevada, CA (USA)
Fricker G.A.; Synes N.W.; Serra-Diaz J.M.; North M.P.; Davis F.W.; Franklin J.
发表日期2019
ISSN0378-1127
起始页码142
结束页码153
卷号434
英文摘要Tall trees and vertical forest structure are associated with increased productivity, biomass and wildlife habitat quality. While climate has been widely hypothesized to control forest structure at broad scales, other variables could be key at fine scales, and are associated with forest management. In this study we identify the environmental conditions (climate, topography, soils) associated with increased tree height across spatial scales using airborne Light Detection and Ranging (LiDAR) data to measure canopy height. The study was conducted over a large elevational gradient from 200 to 3000 m in the Sierra Nevada Mountains (CA, USA) spanning sparse oak woodlands to closed canopy conifer forests. We developed Generalized Boosted Models (GBMs) of forest height, ranking predictor variable importance against Maximum Canopy Height (CHMax) at six spatial scales (25, 50, 100, 250, 500, 1000 m). In our study area, climate variables such as the climatic water deficit and mean annual precipitation were more strongly correlated with CHmax (18–52% relative importance) than soil and topographic variables, and models at intermediate (50–500 m) scales explained the most variance in CHMax (R2 0.77–0.83). Certain soil variables such as soil bulk density and pH, as well as topographic variables such as the topographic wetness index, slope curvature and potential solar radiation, showed consistent, strong associations with canopy structure across the gradient, but these relationships were scale dependent. Topography played a greater role in predicting forest structure at fine spatial scales, while climate variables dominated our models, particularly at coarse scales. Our results indicate that multiple abiotic factors are associated with increased maximum tree height; climatic water balance is most strongly associated with this component of forest structure but varies across all spatial scales examined (6.9–54.8% relative importance), while variables related to topography also explain variance in tree height across the elevational gradient, particularly at finer spatial scales (37.15%, 20.26% relative importance at 25, 50 m scales respectively). © 2018 Elsevier B.V.
英文关键词Climate; Foothill oak woodland; LiDAR; Mixed-conifer forest; Soils; Topography; Tree height; Water-energy limitation
语种英语
scopus关键词Climate models; Climatology; Optical radar; Soils; Topography; Water resources; Climate; Foothill oak woodland; Mixed-conifer forests; Tree height; Water energy; Forestry; biomass; bulk density; climate change; complex terrain; coniferous forest; coniferous tree; environmental conditions; environmental factor; forest canopy; forest ecosystem; forest management; forest soil; lidar; precipitation (climatology); topography; water budget; woodland; Forestry; Meteorology; Topography; Tree Dimensions; Variables; Water Resources; California; Sierra Nevada [California]; United States; Coniferophyta
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/156221
作者单位Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92507, United States; Social Sciences Department, California Polytechnic University, San Luis Obispo, CA 93407, United States; School of Geographical Sciences & Urban Planning, Arizona State University, P.O. Box 875302, Tempe, AZ 85287-5302, United States; UMR Silva, AgroParisTech, Université de Lorraine, INRA, Nancy, 54000, France; Section for Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, Aarhus, DK-8000, Denmark; Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Bioscience, Aarhus University, Ny Munkegade 114, Aarhus, DK-8000, Denmark; USFS Pacific Southwest Research Station, Davis, CA 95618, United States; Bren School of Environmental Science & Management, University of California, Santa Barbara, CA 93106, United States
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GB/T 7714
Fricker G.A.,Synes N.W.,Serra-Diaz J.M.,et al. More than climate? Predictors of tree canopy height vary with scale in complex terrain, Sierra Nevada, CA (USA)[J],2019,434.
APA Fricker G.A.,Synes N.W.,Serra-Diaz J.M.,North M.P.,Davis F.W.,&Franklin J..(2019).More than climate? Predictors of tree canopy height vary with scale in complex terrain, Sierra Nevada, CA (USA).Forest Ecology and Management,434.
MLA Fricker G.A.,et al."More than climate? Predictors of tree canopy height vary with scale in complex terrain, Sierra Nevada, CA (USA)".Forest Ecology and Management 434(2019).
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