DOI: 10.1002/2017JG004041
Scopus记录号: 2-s2.0-85041044742
论文题名: Lorenz Curve and Gini Coefficient Reveal Hot Spots and Hot Moments for Nitrous Oxide Emissions
作者: Saha D. ; Kemanian A.R. ; Montes F. ; Gall H. ; Adler P.R. ; Rau B.M.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期: 1 起始页码: 193
结束页码: 206
语种: 英语
英文关键词: Gini coefficient
; hot moments
; hot spots
; inequality
; Lorenz curve
; nitrous oxide
Scopus关键词: correlation
; emission
; graphical method
; greenhouse gas
; growing season
; nitrous oxide
; numerical method
; skewness
; soil air
; spatial distribution
; spatiotemporal analysis
; storm
英文摘要: Identifying hot spots and hot moments of nitrous oxide (N2O) emissions in the landscape is critical for monitoring and mitigating the emission of this potent greenhouse gas. We propose a novel use of the Lorenz curve and Gini coefficient (G) to improve the estimation of the mean as well as the spatial and temporal variation of N2O emissions from a bioenergy landscape. The analyses indicate that the G was better correlated (R2 = 0.72, P < 0.001) with daily N2O emissions than the coefficient of variation and skewness. A hot moment for N2O emissions occurred after a storm event, with a heterogeneous spatial distribution of N2O emissions (G = 0.65); in contrast, CO2 emissions remained spatially uniform throughout the same period (G = 0.36). Volumetric soil air content below 0.03 m3 m−3 occurred more frequently in the wetter footslope positions and created N2O hot spots, with a high temporal inequality during the growing season (G = 0.75). In contrast, well-drained shoulder positions were cold spots, with uniformly distributed and low N2O emissions (G = 0.44). The spatial N2O inequality mirrored the landscape wetness generated by rain events, while biogeochemical equality prevailed in the landscape. The Lorenz curve and G are tools to standardize the spatial and temporal variation of N2O emissions across diverse landscapes and management scenarios. These two inequality indicators, in association with spatial maps, can help delineate the critical spatial mosaics and temporal windows of N2O emissions and guide landscape-scale monitoring and mitigation strategies to reduce N2O emissions. ©2018. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114801
Appears in Collections: 气候减缓与适应
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作者单位: Department of Plant Science, Pennsylvania State University, University Park, PA, United States; Department of Agricultural and Biological Engineering, Pennsylvania State University, University Park, PA, United States; USDA-ARS-Pasture Systems and Watershed Management Research Unit, University Park, PA, United States; Savannah River Forestry Sciences Lab, USDA Forest Service, Aiken, SC, United States
Recommended Citation:
Saha D.,Kemanian A.R.,Montes F.,et al. Lorenz Curve and Gini Coefficient Reveal Hot Spots and Hot Moments for Nitrous Oxide Emissions[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(1)