DOI: 10.1016/j.atmosenv.2017.09.049
Scopus记录号: 2-s2.0-85031793986
论文题名: Statistical partitioning of a three-year time series of direct urban net CO2 flux measurements into biogenic and anthropogenic components
作者: Menzer O ; , McFadden J ; P
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 170 起始页码: 319
结束页码: 333
语种: 英语
英文关键词: Carbon dioxide
; Eddy covariance
; Flux partitioning
; Modeling
; Sources and sinks
; Spatial heterogeneity
; Urban ecosystem
Scopus关键词: Carbon dioxide
; Ecology
; Ecosystems
; Forestry
; Housing
; Land use
; Models
; Photosynthesis
; Time series
; Vegetation
; Anthropogenic components
; Carbon dioxide exchange
; Eddy covariance
; Gross primary production
; Residential neighborhoods
; Spatial heterogeneity
; Temporal and spatial variability
; Urban ecosystem
; Urban growth
; carbon dioxide
; anthropogenic source
; biogenic emission
; biological uptake
; carbon dioxide
; carbon flux
; ecosystem modeling
; eddy covariance
; flux measurement
; growing season
; heterogeneity
; net ecosystem exchange
; soil respiration
; source-sink dynamics
; spatial analysis
; statistical analysis
; suburban area
; time series
; urban ecosystem
; Article
; carbon footprint
; carbon partitioning
; circadian rhythm
; combustion
; ecosystem
; Eddy covariance
; geographic information system
; growing season
; photosynthesis
; priority journal
; residential area
; seasonal variation
; slope factor
; soil respiration
; time series analysis
; urban area
; Minneapolis
; Minnesota
; Minnesota
; Saint Paul
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Eddy covariance flux measurements are increasingly used to quantify the net carbon dioxide exchange (FC) in urban areas. FC represents the sum of anthropogenic emissions, biogenic carbon release from plant and soil respiration, and carbon uptake by plant photosynthesis. When FC is measured in natural ecosystems, partitioning into respiration and photosynthesis is a well-established procedure. In contrast, few studies have partitioned FC at urban flux tower sites due to the difficulty of accounting for the temporal and spatial variability of the multiple sources and sinks. Here, we partitioned a three-year time series of flux measurements from a suburban neighborhood of Minneapolis-Saint Paul, Minnesota, USA. We segregated FC into one subset that captured fluxes from a residential neighborhood and into another subset that covered a golf course. For both land use types we modeled anthropogenic flux components based on winter data and extrapolated them to the growing season, to estimate gross primary production (GPP) and ecosystem respiration (Reco) at half-hourly, daily, monthly and annual scales. During the growing season, GPP had the largest magnitude (up to − 9.83 g C m−2 d−1) of any component CO2 flux, biogenic or anthropogenic, and both GPP and Reco were more dynamic seasonally than anthropogenic fluxes. Owing to the balancing of Reco against GPP, and the limitations of the growing season in a cold temperate climate zone, the net biogenic flux was only 1.5%–4.5% of the anthropogenic flux in the dominant residential land use type, and between 25%–31% of the anthropogenic flux in highly managed greenspace. Still, the vegetation sink at our site was stronger than net anthropogenic emissions on 16–20 days over the residential area and on 66–91 days over the recreational area. The reported carbon flux sums and dynamics are a critical step toward developing models of urban CO2 fluxes within and across cities that differ in vegetation cover. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82157
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography, University of California, Santa Barbara, CA, United States
Recommended Citation:
Menzer O,, McFadden J,P. Statistical partitioning of a three-year time series of direct urban net CO2 flux measurements into biogenic and anthropogenic components[J]. Atmospheric Environment,2017-01-01,170