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DOI | 10.1016/j.rse.2021.112358 |
Biophysical controls of increased tundra productivity in the western Canadian Arctic | |
Chen A.; Lantz T.C.; Hermosilla T.; Wulder M.A. | |
发表日期 | 2021 |
ISSN | 00344257 |
卷号 | 258 |
英文摘要 | Rapid climate warming has widely been considered as the main driver of recent increases in Arctic tundra productivity. Field observations and remote sensing both show that tundra “greening” has been widespread, but heterogeneity in regional and landscape-scale trends suggest that additional controls are mediating the response of tundra vegetation to warming. In this study, we examined the relationship between changes in vegetation productivity in the western Canadian Arctic and biophysical variables by analyzing trends in the Enhanced Vegetation Index (EVI) obtained from nonparametric regression of annual Landsat surface reflectance composites. We used Random Forests classification and regression tree modelling to predict the trajectory and magnitude of greening from 1984 to 2016 and identify biophysical controls. More than two-thirds of our study area showed statistically significant increases in vegetation productivity, but observed changes were heterogeneous, occurring most rapidly within areas of the Southern Arctic that were: (1) dominated by dwarf and upright shrub cover types, (2) moderately sloping, and (3) located at lower elevation. These findings suggest that the response of tundra vegetation to warming is mediated by regional- and landscape-scale variation in microclimate, topography and soil moisture, and physiological differences among plant functional groups. Our work highlights the potential of the joint analysis of annual remotely sensed vegetation indices and broad-scale biophysical data to understand spatial variation in tundra vegetation change. © 2021 |
英文关键词 | Arctic tundra; Climate change; EVI; Greening; Landsat; Random Forests; Vegetation indices |
语种 | 英语 |
scopus关键词 | Biophysics; Climate change; Decision trees; Physiological models; Productivity; Remote sensing; Soil moisture; Topography; Vegetation; Arctic tundra; Canadian Arctic; Enhanced vegetation index; Greening; LANDSAT; Landscape scale; Random forests; Regional scale; Tundra vegetation; Vegetation index; Landforms; classification; heterogeneity; Landsat; landscape structure; microclimate; multiple regression; physiological response; regression analysis; shrub; tundra; vegetation cover; vegetation index; warming; Canada; Canadian Arctic |
来源期刊 | Remote Sensing of Environment
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/178891 |
作者单位 | School of Environmental Studies, University of Victoria, Victoria, BC, Canada; Canadian Forest Service (Pacific Forestry Centre), Victoria, BC, Canada |
推荐引用方式 GB/T 7714 | Chen A.,Lantz T.C.,Hermosilla T.,et al. Biophysical controls of increased tundra productivity in the western Canadian Arctic[J],2021,258. |
APA | Chen A.,Lantz T.C.,Hermosilla T.,&Wulder M.A..(2021).Biophysical controls of increased tundra productivity in the western Canadian Arctic.Remote Sensing of Environment,258. |
MLA | Chen A.,et al."Biophysical controls of increased tundra productivity in the western Canadian Arctic".Remote Sensing of Environment 258(2021). |
条目包含的文件 | 条目无相关文件。 |
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