The response of ecosystem carbon fluxes to LAI and environmental drivers in a maize crop grown in two contrasting seasons

Vitale, Luca; Tommasi, Paul Di; D’Urso, Guido; Magliulo, Vincenzo

doi:10.1007/s00484-015-1038-2

Cited by 36 publications

(15 citation statements)

References 29 publications

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“…fluxdata.org/data/fluxnet2015-dataset; last access: 24 February 2017). Measurements are made with the eddy covariance method on towers above vegetation canopies (Baldocchi et al, 2001;Anderson et al, 1984;Goldstein et al, 2000) with consistent gap filling (Reichstein et al, 2005;Vuichard and Papale, 2015) and quality control across sites (Pastorello et al, 2014). Flux and meteorological quantities are reported in half-hour intervals.…”

Section: Synflux: Synthetic O 3 Fluxmentioning

confidence: 99%

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Synthetic ozone deposition and stomatal uptake at flux tower sites

et al. 2018

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Abstract. We develop and evaluate a method to estimate O3 deposition and stomatal O3 uptake across networks of eddy covariance flux tower sites where O3 concentrations and O3 fluxes have not been measured. The method combines standard micrometeorological flux measurements, which constrain O3 deposition velocity and stomatal conductance, with a gridded dataset of observed surface O3 concentrations. Measurement errors are propagated through all calculations to quantify O3 flux uncertainties. We evaluate the method at three sites with O3 flux measurements: Harvard Forest, Blodgett Forest, and Hyytiälä Forest. The method reproduces 83 % or more of the variability in daily stomatal uptake at these sites with modest mean bias (21 % or less). At least 95 % of daily average values agree with measurements within a factor of 2 and, according to the error analysis, the residual differences from measured O3 fluxes are consistent with the uncertainty in the underlying measurements. The product, called synthetic O3 flux or SynFlux, includes 43 FLUXNET sites in the United States and 60 sites in Europe, totaling 926 site years of data. This dataset, which is now public, dramatically expands the number and types of sites where O3 fluxes can be used for ecosystem impact studies and evaluation of air quality and climate models. Across these sites, the mean stomatal conductance and O3 deposition velocity is 0.03–1.0 cm s−1. The stomatal O3 flux during the growing season (typically April–September) is 0.5–11.0 nmol O3 m−2 s−1 with a mean of 4.5 nmol O3 m−2 s−1 and the largest fluxes generally occur where stomatal conductance is high, rather than where O3 concentrations are high. The conductance differences across sites can be explained by atmospheric humidity, soil moisture, vegetation type, irrigation, and land management. These stomatal fluxes suggest that ambient O3 degrades biomass production and CO2 sequestration by 20 %–24 % at crop sites, 6 %–29 % at deciduous broadleaf forests, and 4 %–20 % at evergreen needleleaf forests in the United States and Europe.

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Section: Synflux: Synthetic O 3 Fluxmentioning

confidence: 99%

“…The FLUXNET2015 dataset uses gap filling for most flux and meteorological measurements (Vuichard and Papale, 2015), but not for friction velocity (u * ), which is required to calculate v d and F syn s,O 3 . Filling this one variable would significantly reduce the fraction of missing data in our analysis.…”

Section: Gap Filling For Friction Velocitymentioning

confidence: 99%

Synthetic ozone deposition and stomatal uptake at flux tower sites

et al. 2018

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“…First European cropland stations were established in the early 2000s and results were integrated by Ceschia et al (2010), Osborne et al (2010), Eugster et al (2010 and Kutsch et al (2010). Some of these early stations, namely Borgo Cioffi (Italy, since 2001;Vitale et al, 2016), Gebesee (Germany, since 2001;Anthoni et al, 2004), Klingenberg (Germany, since 2004;Prescher et al, 2010), Grignon (France, sine 2004;Loubet et al, 2011) and Lonzée (Belgium, since 2004;Aubinet et al, 2009) have been running continuously since then and will now be continued within ICOS.…”

Section: Ghg Observations In Terrestrial Ecosystemsmentioning

confidence: 99%

Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Franz¹,

Acosta²,

Altimir³

et al. 2018

International Agrophysics

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Research infrastructures play a key role in launching a new generation of integrated long-term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG; CO2, CH4, N2O, H2O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to sample climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied sampling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.

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“…The FLUXNET2015 dataset (Pastorello et al, 2017) aggregates measurements of landatmosphere fluxes of CO 2 , H 2 O, momentum, and heat at sites around the world (http://fluxnet.fluxdata.org/data/fluxnet2015-dataset, accessed 24 February 2017). Measurements are made with the eddy covariance method on towers above vegetation canopies (Baldocchi et al, 2001;Anderson et al, 1984;Goldstein et al, 2000) with consistent gap-filling (Reichstein et al, 2005;Vuichard and Papale, 2015) and quality control across sites (Pastorello et al, 2014). Flux and meteorological quantities are reported in half hour intervals.…”

Section: Synflux: Synthetic O 3 Fluxmentioning

confidence: 99%