D. Hidy

Hungarian University of Agriculture and Life Sciences | szie · HAS–SZIU Plant Ecology Research Group

Process-based ecosystem models are increasingly important for predicting forest dynamics under future environmental conditions, which may encompass non-analogous climate coupled with unprecedented disturbance regimes. However, challenges persist due to the extensive number of model parameters, scarce calibration data, and trade-offs between the loc...

The alluvial character of the Great Hungarian Plain has long determined its land use. Human-environmental interactions and landscale patterns were characterised by adaptation to frequent floods and high water availability. Different socio-economical factors in the 18-19th centuries initiated major drainage works and river regulations. These works a...

Process-based ecosystem models are increasingly important for predicting forest dynamics under future environmental conditions, which may encompass non-analogous climate coupled with unprecedented disturbance regimes. However, challenges persist due to the extensive number of model parameters, scarce calibration data, and the trade-offs between the...

Grassland models often yield more uncertain outputs than arable crop models due to more complex interactions and the largely undocumented sensitivity of grassland models to environmental factors. The aim of the present study was to assess the impact of single-factor changes in temperature, precipitation, and atmospheric [CO 2 ] on simulated soil wa...

Climate change and water scarcity increase the vulnerability of crop production and other ecosystem services (ES) in flood-protected lowlands under a continental climate. Restoration of wetlands leads to a higher water-buffering capacity of the landscape, strengthening various ecosystem services, and fostering adaptation to climatic, ecological, an...

We used the Biome-BGCMuSo biogeochemical model to simulate pools and fluxes of carbon, water, and nitrogen in vegetation, litter, and soil on a daily scale. The model is under continuous development and in the last few years, the hydrological cycle submodel went through substantial improvements. In particular, we (i) evaluated the model performance...

Application of process-based models at different spatial scales requires their proper parameterization. This task is typically executed using trial-and-error parameter adjustment or a probabilistic method. Practical application of the probabilistic methods is hampered by methodological complexity and lack of interpretability. Here we present a nove...

Terrestrial biogeochemical models are essential tools to quantify climate–carbon cycle feedback and plant–soil relations from local to global scale. In this study, a theoretical basis is provided for the latest version of the Biome-BGCMuSo biogeochemical model (version 6.2). Biome-BGCMuSo is a branch of the original Biome-BGC model with a large num...

Terrestrial biogeochemical models are essential tools to quantify climate-carbon cycle feedback and plant-soil relations from local to global scale. In this study, theoretical basis is provided for the latest version of Biome-BGCMuSo biogeochemical model (version 6.2). Biome-BGCMuSo is a branch of the original Biome-BGC model with a large number of...

Soil organic carbon (SOC) is a mandatory pool in national inventory reports on greenhouse gas (GHG) emissions and removals to the UNFCCC. Hence, its accurate assessment is important. Modelling SOC changes for national GHG reports is encouraged, but the uncertainty related to this pool still presents a significant challenge; thus, verifying modellin...

Gridded model assessments require at least one climatic and one soil database for carrying out the simulations. There are several parallel soil and climate database development projects that provide sufficient, albeit considerably different, observation based input data for crop model based impact studies. The input database related uncertainty of...

Process-based ecosystem models are versatile tools providing profound insights into ecosystem processes and interactions between vegetation and environment. The ongoing development of the Biome-BGCMuSo model has delivered multiple improvements in model structure and parameters, and subsequently in simulated ecosystem dynamics. Since the number of p...

Land use, land-use change and forestry (LULUCF) sector is the only sector in National green-house gas (GHG) Inventory that accounts for carbon (C) removals, therefore it has been recognized as important for reaching the long-term climate mitigation objectives. Recently, an issue of uncertainty of the LULUCF sector estimates is strongly being emphas...

This is the first alpha release of the Biome-BGCMuSo v5 biogeochemical model that is developed by our group. Any comments are welcome. See more at the website of the model at http://nimbus.elte.hu/bbgc/download.html The source code is also available at GitHub with sample input data: https://github.com/bpbond/Biome-BGC/tree/Biome-BGCMuSo_v5

This is the 3rd beta release of the Biome-BGCMuSo v5.0 biogeochemical model that is developed by our group. Any comments are welcome. See more at the website of the model at http://nimbus.elte.hu/bbgc/download.html

Spatial patterns of ecosystem processes constitute significant sources of uncertainty in greenhouse gas flux estimations partly because the patterns are temporally dynamic. The aim of this study was to describe temporal variability in the spatial patterns of grassland CO2 and N2O flux under varying environmental conditions and to assess effects of...

Background and Purpose: Biogeochemical process‑based models use a mathematical representation of physical processes with the aim of simulating and predicting past or future state of ecosystems (e.g. forests). Such models, usually executed as computer programs, rely on environmental variables as drivers, hence they can be used in studies of expected...

Nitrous oxide is one of the atmospheric greenhouse gases whose amount is significantly influenced by human activity. Its major anthropogenic sources are the agricultural soils but the emission is known only with large uncertainty yet. The paper presents a tall tower based measuring system installed in Hungary, which is designed for the long-term mo...

Livestock is both threatened by and contributing to climate change. The contribution of livestock to climate change and greenhouse gas (GHG) emission greatly vary under different management regimes. A number of mitigation options comprise livestock management, although there are a lot of uncertainties as to which management regime to use for a give...

The process-based biogeochemical model Biome-BGC was enhanced to improve its ability to simulate carbon, nitrogen, and water cycles of various terrestrial ecosystems under contrasting management activities. Biome-BGC version 4.1.1 was used as a base model. Improvements included addition of new modules such as the multilayer soil module, implementat...

Background Making forecasts about biodiversity and giving support to policy relies increasingly on large collections of data held electronically, and on substantial computational capability and capacity to analyse, model, simulate and predict using such data. However, the physically distributed nature of data resources and of expertise in advanced...

This study presents results from a major grassland model intercomparison exercise, and highlights the main challenges faced in the implementation of a multi-model ensemble prediction system in grasslands. Nine, independently developed simulation models linking climate, soil, vegetation and management to grassland biogeochemical cycles and productio...

The process-based biogeochemical model Biome-BGC was enhanced to improve its ability to simulate carbon, nitrogen and water cycles of various terrestrial ecosystems under contrasting management activities. Biome-BGC version 4.1.1 was used as base model. Improvements included addition of new modules such as the multilayer soil module, implementation...

Two independently developed simulation models – the grassland-specific PaSim and the biome-genericBiome-BGC MuSo (BBGC MuSo) – linking climate, soil, vegetation and management to ecosystembiogeochemical cycles were compared in a simulation of carbon (C) and water fluxes. The results wereassessed against eddy-covariance flux data from five observati...

Different management practices may change the rate of soil respiration, thus affecting the carbon balance of grasslands. Therefore, we investigated the effect of grazing and mowing on soil respiration along with its driving variables (soil water content, soil temperature, above and below ground biomass, vegetation indices and soil carbon) in adjace...

Uncertainty in simulating biomass yield and carbon–water fluxes from grasslands under climate change - Volume 6 Issue 1 - R. Sándor, S. Ma, M. Acutis, Z. Barcza, H. Ben Touhami, L. Doro, D. Hidy, M. Köchy, E. Lellei-Kovács, J. Minet, A. Perego, S. Rolinski, F. Ruget, G. Seddaiu, L. Wu, G. Bellocchi

Nitric oxide soil emission flux was measured by 2-2 parallel manual and auto dynamic chambers on hourly basis above a Hungarian semi-arid, sandy grassland between August 2012 and January 2014. The measured datasets covered 43-85% of time period depending on chambers. We applied a gap filling method based on multivariable analysis (Sigma Plot) combi...

The grassland model intercomparison of the FACCE MACSUR knowledge hub involves nine modelling approaches. Grassland-specific approaches (AnnuGrow, PaSim, SPACSYS) were compared to the approaches mainly conceived to simulate crops (ARMOSA, EPIC, STICS) and biomes (Biome-BGC MuSo, CARAIB, LPJmL). The model intercomparison exercise is run over nine gr...

Simulation of the biogeochemical cycles of extensively and intensively managed grasslands and croplands are of particular interest due to the strong connection between ecosystem production, animal husbandry and food security. In the frame of MACSUR LiveM activities, we conducted a series of „blind tests” (i.e. uncalibrated model simulations with pr...

The aim of this study is to estimate future changes in grassland productivity and carbon (C) balance in the Carpathians taking into account diverse environmental and anthropogenic drivers. In our approach calibrated and validated biogeochemical model (Biome-BGC MuSo v1.2) was coupled with a number of climate projections to estimate present day...

Apart from measurements, numerical models are the most convenient instruments to analyze the carbon and water balance of terrestrial ecosystems and their interactions with changing environmental conditions. The process-based Biome-BGC model is widely used to simulate the storage and flux of water, carbon, and nitrogen within the vegetation, litter,...

Three different, state-of-the-art biogeochemical models are adapted in order to quantify the carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) exchanges between arable lands and the atmosphere. Biome-BGC and MOD17 are validated using the long-term measurement results from Hegyhátsál tall tower site (Western Hungary). After a simple bias...

In this chapter, we examine the effects of site-specific environmental conditions and management activities on water, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes of Hungarian grasslands using two process-based ecosystem models. Biome-BGC is used to simulate the CO2 budget, while DNDC is applied to simulate the CH4 and N2O bu...

We present the first comprehensive overview about the state-of-the-art estimates of the Hungarian biospheric greenhouse gas (GHG) balance. Biogeochemical models, statistical time series, and literature data are used together to describe grassland, forest, and arable land specific GHG fluxes. The estimates are aggregated to the country level to appr...

This chapter describes computer simulation models developed for ­estimating greenhouse gas fluxes of different ecosystems. In general, each model is used for the simulation of specific parts of the complex systems; therefore, merging the results of various kind of models can give a better insight. In this chapter, we describe four models used for e...

The paper presents a simple box model simulating the temporal variation of atmospheric 13CO2 concentration, atmospheric CO2 mixing ratio and 13C content of plant material. The model is driven by observed meteorological and measured biosphere-atmosphere CO2 exchange data. The model was calibrated and validated using measurements from a Hungarian atm...

Here we estimate the biospheric carbon dioxide balance of Hungary using the adapted BIOME-BGC process oriented ecological system model. The model was calibrated using the Hungarian measurements of biosphere-atmosphere carbon dioxide exchange. After calibration, the model was run for the four major land cover types such as croplands, grasslands, dec...

In this study the trends and temporal variations of four major greenhouse gases (CO2, CH4, N2O, SF6) measured at Hegyhátsál, Hungary, are analyzed. The long term trends observed closely follow the global tendencies. The relatively small positive offset can be attributed to the European anthropogenic sources. The seasonal cycles are basically govern...

The mixing ratio and the surface-atmosphere exchange of carbon dioxide have been monitored at different elevations on a tall tower in West Hungary (Hegyhátsál, 46 o 57'N, 16 o 39'E, 248 m asl) since 1994 and 1997, respectively. The vertical mixing ratio profile measurements along the 115 m tall tower has been completed with occasional aircraft meas...