László Horváth

Prof. Dr. László Horváth

Greengrass - Atmospheric Environment Expert Ltd., 1051 Budapest, Hungary
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 April 2013 in Biogeosciences
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Journal Article
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RRRobert Martin Rees
Robert Martin Rees
JAJ. Augustin
J. Augustin
Giorgio AlbertiGiorgio Alberti
Giorgio Alberti
BBB. C. Ball
B. C. Ball
PBP. Boeckx
P. Boeckx
MWM. Wuta
M. Wuta
Nitrous oxide emissions from a network of agricultural experiments in Europe were used to explore the relative importance of site and management controls of emissions. At each site, a selection of management interventions were compared within replicated experimental designs in plot-based experiments. Arable experiments were conducted at Beano in Italy, El Encin in Spain, Foulum in Denmark, Logården in Sweden, Maulde in Belgium, Paulinenaue in Germany, and Tulloch in the UK. Grassland experiments were conducted at Crichton, Nafferton and Peaknaze in the UK, Gödöllö in Hungary, Rzecin in Poland, Zarnekow in Germany and Theix in France. Nitrous oxide emissions were measured at each site over a period of at least two years using static chambers. Emissions varied widely between sites and as a result of manipulation treatments. Average site emissions (throughout the study period) varied between 0.04 and 21.21 kg N2O-N ha−1 yr−1, with the largest fluxes and variability associated with the grassland sites. Total nitrogen addition was found to be the single most important determinant of emissions, accounting for 15% of the variance (using linear regression) in the data from the arable sites (p < 0.0001), and 77% in the grassland sites. The annual emissions from arable sites were significantly greater than those that would be predicted by IPCC default emission factors. Variability of N2O emissions within sites that occurred as a result of manipulation treatments was greater than that resulting from site-to-site and year-to-year variation, highlighting the importance of management interventions in contributing to greenhouse gas mitigation.

16 March 2016 in Biogeosciences
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Journal Article
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Miguel Portillo-EstradaMiguel Portillo-Estrada
Miguel Portillo-Estrada
MPMari Pihlatie
Mari Pihlatie
JKJanne F. J. Korhonen
Janne F. J. Korhonen
JLJanne Levula
Janne Levula
AFArnoud K. F. Frumau
Arnoud K. F. Frumau
Ülo NiinemetsÜlo Niinemets
Ülo Niinemets
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 (Mr). Mr 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 litter total specific leaf area as parameters we were able to predict the annual decomposition rate (k) accurately.

9 April 2020 in Frontiers in Forests and Global Change
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FSFlavia Savi
Flavia Savi
ENEiko Nemitz
Eiko Nemitz
MCMhairi Coyle
Mhairi Coyle
MAMatt Aitkenhead
Matt Aitkenhead
KFKfa Frumau
Kfa Frumau
Silvano FaresSilvano Fares
Silvano Fares
Tropospheric ozone (O3) is probably the air pollutant most damaging to vegetation. Understanding how plants respond to O3 pollution under different climate conditions is of central importance for predicting the interactions between climate change, ozone impact and vegetation. This work analyses the effect of O3 fluxes on net ecosystem productivity (NEP), measured directly at the ecosystem level with the eddy covariance (EC) technique. The relationship was explored with artificial neural networks (ANNs), which were used to model NEP using environmental and phenological variables as inputs in addition to stomatal O3 uptake in Spring and Summer, when O3 pollution is expected to be highest. A sensitivity analysis allowed us to isolate the effect of O3, visualize the shape of the O3-NEP functional relationship and explore how climatic variables affect NEP response to O3. This approach has been applied to eleven ecosystems covering a range of climatic areas. The analysis highlighted that O3 effects over NEP are highly non-linear and site-specific. A significant but small NEP reduction was found during Spring in a Scottish shrubland (−0.67%), in two Italian forests (up to −1.37%) and during Summer in a Californian orange orchard (−1.25%). Although the overall seasonal effect of O3 on NEP was not found to be negative for the other sites, with episodic O3 detrimental effect still identified. These episodes were correlated with meteorological variables showing that O3 damage depends on weather conditions. By identifying O3 damage under field conditions and the environmental factors influencing to that damage, this work provides an insight into O3 pollution, climate and weather conditions.

30 October 2017 in Boundary-Layer Meteorology
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László HorváthLászló Horváth
László Horváth
PKP. Koncz
P. Koncz
AMA. Móring
A. Móring
ZNZoltán Nagy
Zoltán Nagy
KPK. Pintér
K. Pintér
TWT. Weidinger
T. Weidinger

29 August 2000 in Meteorologische Zeitschrift
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Journal Article
Closed access
TWTamás Dr. Weidinger
Tamás Dr. Weidinger
JPJoseph Pinto
Joseph Pinto
László HorváthLászló Horváth
László Horváth

9 February 2024 in Plants
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Dénes LóczyDénes Lóczy
Dénes Lóczy
JDJózsef Dezső
József Dezső
TWTamás Dr. Weidinger
Tamás Dr. Weidinger
László HorváthLászló Horváth
László Horváth
EPErvin Pirkhoffer
Ervin Pirkhoffer
SCSzabolcs Czigany
Szabolcs Czigany
Soil moisture reserves are a key factor in maintaining soil fertility and all other related ecosystem services (including carbon sequestration, soil biodiversity, and soil erosion control). In semiarid blown-sand areas under aridification, water preservation is a particularly crucial task for agriculture. The international Diverfarming project (2017–2022), within the EU Horizon 2020 Program, focused on the impacts of crop diversification and low-input practices in all pedoclimatic regions of Europe. In this three-year experiment conducted in the Pannonian region, the impact of intercropping asparagus with different herbs on some provisioning and regulating ecosystem services was evaluated in the Kiskunság sand regions. Relying on findings based on a range of measured physical and chemical soil parameters and on crop yields and qualitative properties, advice was formulated for farmers. The message drawn from the experiment is somewhat ambiguous. The local farmers agree that crop diversification improves soil quality, but deny that it would directly influence farm competitiveness, which primarily depends on cultivation costs (such as fertilization, plant protection, and labour). Further analyses are needed to prove the long-term benefits of diversification through enriching soil microbial life and through the possible reduction of fertilizer use, while water demand is kept at a low level and the same crop-quality is ensured.