4.7 Article

Stable isotopes contain substantial additive information about terrestrial carbon and water cycling

Journal

ENVIRONMENTAL RESEARCH LETTERS
Volume 18, Issue 9, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1748-9326/acf4ab

Keywords

isotope; carbon flux; water flux; NEON; information theory

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Stable isotope ratios of H, O, and C are informative of environmental exchanges, especially δ13C for latent heat flux under arid and low annual precipitation conditions. These stable isotope datasets collected by NEON contribute valuable information about bulk environmental fluxes useful for interpreting biogeochemical and ecohydrological processes.
Stable isotope ratios of H (& delta; 2 H), O (& delta; 18O), and C (& delta; 13C) are linked to key biogeochemical processes of the water and carbon cycles; however, the degree to which isotope-associated processes are reflected in macroscale ecosystem flux observations remains unquantified. Here through formal information assessment, new measurements of & delta; 13C of net ecosystem exchange (NEE) as well as & delta; 2H and & delta; 18O of latent heat (LH) fluxes across the United States National Ecological Observation Network (NEON) are used to determine conditions under which isotope measurements are informative of environmental exchanges. We find all three isotopic datasets individually contain comparable amounts of information about NEE and LH fluxes as wind speed observations. Such information from isotope measurements, however, is largely unique. Generally, & delta; 13C provides more information about LH as aridity increases or mean annual precipitation decreases. & delta; 2H provides more information about LH as temperatures or mean annual precipitation decreases, and also provides more information about NEE as temperatures decrease. Overall, we show that the stable isotope datasets collected by NEON contribute non-trivial amounts of new information about bulk environmental fluxes useful for interpreting biogeochemical and ecohydrological processes at landscape scales. However, the utility of this new information varies with environmental conditions at continental scales. This study provides an approach for quantifying the value adding non-traditional sensing approaches to environmental monitoring sites and the patterns identified here are expected to aid in modeling and data interpretation efforts focused on constraining carbon and water cycles' mechanisms.

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