Measurement and Modeling of N Balance Between Atmosphere and Biosphere over a Grazed Grassland (Bugacpuszta) in Hungary

Machon, Attila; Horváth, László; Weidinger, Tamás; Grosz, Balázs; Móring, Andrea; Führer, Ernő

doi:10.1007/s11270-014-2271-8

Cited by 4 publications

(1 citation statement)

References 70 publications

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“…The sites covered various climates and ecosystems representative of the European continent and were each dominated by a single tree or grass species. The forest sites are Hyytiälä in Finland Portillo-Estrada et al, 2013), Männikjärve in Estonia (Carter et al, 2012;Portsmuth et al, 2005), Sorø in Denmark (Pilegaard et al, 2011), and Speulderbos in the Netherlands (Portillo-Estrada et al, 2013), while the grassland sites are Easter Bush in the UK (Jones et al, 2011) and Bugac in Hungary (Machon et al, 2015). The details of the sites are provided in Table 1.…”

Section: Study Sitesmentioning

confidence: 99%

Climatic controls on leaf litter decomposition across European forests and grasslands revealed by reciprocal litter transplantation experiments

et al. 2016

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Abstract. Carbon (C) and nitrogen (N) cycling under future climate change is associated with large uncertainties in litter decomposition and the turnover of soil C and N. In addition, future conditions (especially altered precipitation regimes and warming) are expected to result in changes in vegetation composition, and accordingly in litter species and chemical composition, but it is unclear how such changes could potentially alter litter decomposition. Litter transplantation experiments were carried out across six European sites (four forests and two grasslands) spanning a large geographical and climatic gradient (5.6-11.4 • C in annual temperature 511-878 mm in precipitation) to gain insight into the climatic controls on litter decomposition as well as the effect of litter origin and species.The decomposition k rates were overall higher in warmer and wetter sites than in colder and drier sites, and positively correlated with the litter total specific leaf area. Also, litter N content increased as less litter mass remained and decay went further.Surprisingly, this study demonstrates that climatic controls on litter decomposition are quantitatively more important than species or site of origin. Cumulative climatic variables, precipitation, soil water content and air temperature (ignoring days with air temperatures below zero degrees Celsius), were appropriate to predict the litter remaining mass during decomposition (M r ). M r and cumulative air temperature were found to be the best predictors for litter carbon and nitrogen remaining during the decomposition. Using mean annual air temperature, precipitation, soil water content and Published by Copernicus Publications on behalf of the European Geosciences Union. M. Portillo-Estrada et al.: Climatic controls on leaf litter decompositionlitter total specific leaf area as parameters we were able to predict the annual decomposition rate (k) accurately.

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Section: Study Sitesmentioning

confidence: 99%

Climatic controls on leaf litter decomposition across European forests and grasslands revealed by reciprocal litter transplantation experiments

et al. 2016

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An Attempt to Partition Stomatal and Non-stomatal Ozone Deposition Parts on a Short Grassland

Horváth

Koncz

Móring

et al. 2017

Boundary-Layer Meteorol

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Article (refereed) -postprint Horvath, L.; Koncz, P.; Moring, A.; Nagy, Z.; Pintér, K.; Weidinger, T. 2018. An attempt to partition stomatal and non-stomatal ozone deposition parts on a short grassland.Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. Abstract To evaluate the damaging effect of tropospheric ozone on vegetation, it is important 7 to evaluate the stomatal uptake of ozone. Although stomatal flux is a dominant pathway of 8 ozone deposition onto vegetated surfaces, non-stomatal uptake mechanisms as soil 9 deposition, especially when LAI < 4, and cuticular deposition are also vital parts. In this 10 study, we partitioned canopy conductance into stomatal and non-stomatal parts. To calculate 11 the stomatal conductance of water vapour for sparse vegetation, firstly, we partitioned the 12 latent heat flux into transpiration and evaporation parts using the Shuttleworth-Wallace (SW) 13 model. Then we derived the stomatal conductance of ozone by the Penman-Monteith (PM) 14 theory based on the similarity to water vapour conductance. The non-stomatal conductance 15 was calculated by subtracting the stomatal conductance from canopy conductance derived 16 from direct flux measurement data. Our results show that for short vegetation (LAI = 0.25) 17 dry deposition of ozone was dominated by non-stomatal flux, exceeding stomatal flux even in 18 daytime, while at night stomatal uptake of ozone was negligibly small. In the case of 19 vegetation with LAI ≈ 1, the daytime stomatal and non-stomatal fluxes were of the same order 20 of magnitude. These results underline that non-stomatal processes have to be considered even 21 in the case of well-developed vegetation where cuticular uptake is comparable in magnitude 22 with stomatal uptake, and especially in the case of vegetated surfaces with LAI < 4 where soil 23 uptake takes part in ozone deposition as well. 24 25

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A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)

Clifton,

Schwede,

Hogrefe

et al. 2023

Atmos. Chem. Phys.

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Abstract. A primary sink of air pollutants and their precursors is dry deposition. Dry deposition estimates differ across chemical transport models, yet an understanding of the model spread is incomplete. Here, we introduce Activity 2 of the Air Quality Model Evaluation International Initiative Phase 4 (AQMEII4). We examine 18 dry deposition schemes from regional and global chemical transport models as well as standalone models used for impact assessments or process understanding. We configure the schemes as single-point models at eight Northern Hemisphere locations with observed ozone fluxes. Single-point models are driven by a common set of site-specific meteorological and environmental conditions. Five of eight sites have at least 3 years and up to 12 years of ozone fluxes. The interquartile range across models in multiyear mean ozone deposition velocities ranges from a factor of 1.2 to 1.9 annually across sites and tends to be highest during winter compared with summer. No model is within 50 % of observed multiyear averages across all sites and seasons, but some models perform well for some sites and seasons. For the first time, we demonstrate how contributions from depositional pathways vary across models. Models can disagree with respect to relative contributions from the pathways, even when they predict similar deposition velocities, or agree with respect to the relative contributions but predict different deposition velocities. Both stomatal and nonstomatal uptake contribute to the large model spread across sites. Our findings are the beginning of results from AQMEII4 Activity 2, which brings scientists who model air quality and dry deposition together with scientists who measure ozone fluxes to evaluate and improve dry deposition schemes in the chemical transport models used for research, planning, and regulatory purposes.

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Measurement and Modeling of N Balance Between Atmosphere and Biosphere over a Grazed Grassland (Bugacpuszta) in Hungary

Cited by 4 publications

References 70 publications

Climatic controls on leaf litter decomposition across European forests and grasslands revealed by reciprocal litter transplantation experiments

Climatic controls on leaf litter decomposition across European forests and grasslands revealed by reciprocal litter transplantation experiments

An Attempt to Partition Stomatal and Non-stomatal Ozone Deposition Parts on a Short Grassland

A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)

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