气候变化领域集成服务门户(CCPortal): Spatial detection of alpine treeline ecotones in the Western United States

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DOI	10.1016/j.rse.2020.111672
	Spatial detection of alpine treeline ecotones in the Western United States
	Wei C.; Karger D.N.; Wilson A.M.
发表日期	2020
ISSN	00344257
卷号	240
英文摘要	Human-mediated climate change over the past century has resulted in significant impacts to global ecosystems and biodiversity including accelerating redistribution of the geographic ranges of species. In mountainous regions, the transition zone from continuous closed-canopy montane forests to treeless alpine tundra areas at higher elevations is commonly referred to as the “alpine treeline ecotone” (ATE). Globally, warming climate is expected to drive ATEs upslope, which could lead to negative impacts on local biodiversity and changes in ecosystem function. However, existing studies rely primarily on field-based data which are difficult and time consuming to collect. In this study, we define an ATE-detection index (ATEI) to automatically identify the ATE positions from 2009 to 2011 in the western United States using geospatial tools and remotely sensed datasets provided by Google Earth Engine. A binomial logistic regression model was fitted between standardized ATEI components and a binary variable of pixel status of 141 sampled Landsat pixels manually classified with high-resolution imagery in Google Earth. The average model accuracy was around 0.713 (±0.111) and the average Kappa coefficient was approximately 0.426 (±0.221) based on a 100-time repeated 10-fold cross-validation. Furthermore, the ATEI-estimated elevation is highly correlated (Pearson's r = 0.98) with a published set of field-collected ATE elevations at 22 sampling sites across the region. The detection metric developed in this study facilitates monitoring the geographic location and potential shifts of ATEs as well as the general impact of climate change in mountainous areas during recent decades. We also expect this approach to be useful in monitoring other ecosystem boundaries. © 2020 Elsevier Inc.
英文关键词	Alpine; Climate change; Ecotone; Forest; Land cover; Landsat; Treeline
语种	英语
scopus关键词	Biodiversity; Digital storage; Ecosystems; Forestry; Pixels; Regression analysis; Alpine; Ecotone; Forest; Land cover; LANDSAT; Treeline; Climate change; biodiversity; climate change; ecosystem function; ecotone; Landsat; montane forest; mountain region; regression analysis; transition zone; treeline; tundra; United States
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179413
作者单位	Department of Geography, University at Buffalo, 105 Wilkeson Quadrangle, Buffalo, NY 14261, United States; Swiss Federal Institute for Forest, Snow and Landscape Research, Zürcherstr. 111, Birmensdorf, 8903, Switzerland
推荐引用方式 GB/T 7714	Wei C.,Karger D.N.,Wilson A.M.. Spatial detection of alpine treeline ecotones in the Western United States[J],2020,240.
APA	Wei C.,Karger D.N.,&Wilson A.M..(2020).Spatial detection of alpine treeline ecotones in the Western United States.Remote Sensing of Environment,240.
MLA	Wei C.,et al."Spatial detection of alpine treeline ecotones in the Western United States".Remote Sensing of Environment 240(2020).