DOI: 10.1111/gcb.12319
论文题名: Characterization of an alpine tree line using airborne LiDAR data and physiological modeling
作者: Coops N.C. ; Morsdorf F. ; Schaepman M.E. ; Zimmermann N.E.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期: 12 起始页码: 3808
结束页码: 3821
语种: 英语
英文关键词: 3-PG
; Alpine
; LiDAR
; Remote sensing
; Tree line
Scopus关键词: airborne sensing
; canopy architecture
; climate change
; climate effect
; environmental factor
; environmental stress
; lidar
; satellite data
; satellite imagery
; seasonal variation
; transition zone
; treeline
; Graubunden
; Swiss National Park
; Switzerland
; lidar
; 3-PG
; Alpine
; altitude
; article
; biological model
; ecology
; ecosystem
; growth, development and aging
; methodology
; remote sensing
; Switzerland
; tree
; tree line
; 3-PG
; alpine
; LiDAR
; remote sensing
; tree line
; Altitude
; Ecology
; Ecosystem
; Models, Biological
; Remote Sensing Technology
; Switzerland
; Trees
英文摘要: Understanding what environmental drivers control the position of the alpine tree line is important for refining our understanding of plant stress and tree development, as well as for climate change studies. However, monitoring the location of the tree line position and potential movement is difficult due to cost and technical challenges, as well as a lack of a clear boundary. Advanced remote sensing technologies such as Light Detection and Ranging (LiDAR) offer significant potential to map short individual tree crowns within the transition zone despite the lack of predictive capacity. Process-based forest growth models offer a complementary approach by quantifying the environmental stresses trees experience at the tree line, allowing transition zones to be defined and ultimately mapped. In this study, we investigate the role remote sensing and physiological, ecosystem-based modeling can play in the delineation of the alpine tree line. To do so, we utilize airborne LiDAR data to map tree height and stand density across a series of altitudinal gradients from below to above the tree line within the Swiss National Park (SNP), Switzerland. We then utilize a simple process-based model to assess the importance of seasonal variations on four climatically related variables that impose non-linear constraints on photosynthesis. Our results indicate that all methods predict the tree line to within a 50 m altitudinal zone and indicate that aspect is not a driver of significant variations in tree line position in the region. Tree cover, rather than tree height is the main discriminator of the tree line at higher elevations. Temperatures in fall and spring are responsible for the major differences along altitudinal zones, however, changes in evaporative demand also control plant growth at lower altitudes. Our results indicate that the two methods provide complementary information on tree line location and, when combined, provide additional insights into potentially endangered forest/grassland transition zones. © 2013 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62261
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Forest Resource Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada; Remote Sensing Laboratories RSL, Department of Geography, University of Zurich - Irchel, Winterthurerstr. 190, Zurich, CH-8057, Switzerland; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, CH-8903, Switzerland
Recommended Citation:
Coops N.C.,Morsdorf F.,Schaepman M.E.,et al. Characterization of an alpine tree line using airborne LiDAR data and physiological modeling[J]. Global Change Biology,2013-01-01,19(12)