气候变化领域集成服务门户(CCPortal): Generating Spatially Robust Carbon Budgets From Flux Tower Observations

CCPortal

DOI	10.1029/2019GL085942
	Generating Spatially Robust Carbon Budgets From Flux Tower Observations
	Griebel A.; Metzen D.; Pendall E.; Burba G.; Metzger S.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:3
英文摘要	Estimating global terrestrial productivity is typically achieved by rescaling individual flux tower measurements, traditionally assumed to represent homogeneous areas, using gridded remote sensing and climate data. Using 154 locations from the FLUXNET2015 database, we demonstrate that variations in spatial homogeneity and nonuniform sampling patterns introduce variability in carbon budget estimates that propagate to the biome scale. We propose a practical solution to quantify the variability of vegetation characteristics and uniformity of sampling patterns and, moreover, account for contributions of sampling variations over heterogeneous surfaces to carbon budgets from flux towers. Our proposed space-time-equitable budgets reduce uncertainty related to heterogeneities, allow for more accurate attribution of physiological variations in productivity trends, and provide more representative grid cell averages for linking fluxes with gridded data products. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Carbon; Productivity; Remote sensing; Carbon budgets; Eddy covariance; footprint; heterogeneity; scaling; uncertainty; Budget control; carbon budget; carbon footprint; eddy covariance; estimation method; heterogeneity; inhomogeneity; observational method; remote sensing; sampling; spatial variation; uncertainty analysis
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/170765
作者单位	Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia; LI-COR Biosciences, Lincoln, NE, United States; R. B. Daugherty Water for Food Global Institute, School of Natural Resources, University of Nebraska, Lincoln, NE, United States; National Ecological Observatory Network Program, Battelle, Boulder, CO, United States; Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, United States
推荐引用方式 GB/T 7714	Griebel A.,Metzen D.,Pendall E.,et al. Generating Spatially Robust Carbon Budgets From Flux Tower Observations[J],2020,47(3).
APA	Griebel A.,Metzen D.,Pendall E.,Burba G.,&Metzger S..(2020).Generating Spatially Robust Carbon Budgets From Flux Tower Observations.Geophysical Research Letters,47(3).
MLA	Griebel A.,et al."Generating Spatially Robust Carbon Budgets From Flux Tower Observations".Geophysical Research Letters 47.3(2020).