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Titel |
Spatial and Temporal Variation of Arctic CH4 and net CO2 Fluxes Using Nested Chamber, Tower, Aircraft, Remote Sensing, and Modeling Approaches for Regional Flux Identification and Estimation |
VerfasserIn |
Walter Oechel, Aram Kalhori, Charles Miller, Beniamino Gioli, Kristina Luus, Rachel Chang, Jakob Lindaas, Roisin Commane, Steve Wofsy, Donatella Zona |
Konferenz |
EGU General Assembly 2015
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 17 (2015) |
Datensatznummer |
250108417
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Publikation (Nr.) |
EGU/EGU2015-8168.pdf |
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Zusammenfassung |
The hydrological, cryogenic, topographic, environmental, biotic, and metabolic heterogeneity
of terrestrial ecosystems and landscapes can be large even despite a seemingly homogeneous
landscape. The error of estimating and simulating fluxes due to the existing heterogeneity
is commonly overlooked in regional and global estimates. Here we evaluate the
pattern and controls on spatial heterogeneity on CH4 and CO2 fluxes over varying
spatial scales. Data from the north slope of Alaska from chambers, up to a 16 year
CO2 flux record from up to 7 permanent towers, over 20 portable tower locations,
eddy covariance CH4 fluxes over several years and sites, new year-around CO2
and CH4 flux installations, hundreds of hours of aircraft concentration and fluxes,
and terrestrial biosphere data driven models and flux inverse modeling, are used
to evaluate the spatial variability of fluxes and to better estimate regional fluxes.
Significant heterogeneity of fluxes is identified at varying scales from sub-meter scale to
>100km.
A careful consideration of the effect that heterogeneity has on estimating ecosystem
fluxes is critical to reliable regional and global estimates. The combination of eddy
covariance tower flux, aircraft, remote sensing, and modeling can be used to provide reliable,
accurate, regional assessments of CH4 and CO2 fluxes from large areas of heterogeneous
landscape. |
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