A5068447836- Soil Carbon and Nitrogen Dynamics
- Atmospheric and Environmental Gas Dynamics
- Carbon Dioxide Capture Technologies
- Climate change impacts on agriculture
- Soil and Water Nutrient Dynamics
- Peatlands and Wetlands Ecology
- Plant Water Relations and Carbon Dynamics
- Atmospheric chemistry and aerosols
- Climate Change Policy and Economics
- Rice Cultivation and Yield Improvement
- Crop Yield and Soil Fertility
- Bioenergy crop production and management
- Soil Geostatistics and Mapping
- Agriculture Sustainability and Environmental Impact
- Vehicle emissions and performance
- Greenhouse Technology and Climate Control
- Agricultural Economics and Policy
- Insect and Pesticide Research
- Environmental Impact and Sustainability
- Soil and Unsaturated Flow
- Soil erosion and sediment transport
- Insect and Arachnid Ecology and Behavior
- Historical and Contemporary Political Dynamics
- Air Quality and Health Impacts
- Land Use and Ecosystem Services
University of Aberdeen
2016-2025
Technical University of Munich
2021
James Hutton Institute
2019
Institute of Biological, Environmental and Rural Sciences
2016-2017
University of Stirling
2016
Technische Universität Dresden
2009
GFZ Helmholtz Centre for Geosciences
2007-2009
University of Würzburg
2008
Goethe University Frankfurt
1984-1994
BOKU University
1993
Abstract This study evaluates the dynamics of soil organic carbon (SOC) under perennial crops across globe. It quantifies effect change from annual to and subsequent temporal changes in SOC stocks during crop cycle. also presents an empirical model estimate content as a function time, land use, site characteristics. We used harmonized global dataset containing paired‐comparison values different types (perennial grasses, palms, woody plants) with end uses: bioenergy, food, other bio‐products,...
We show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use data of low resolution. Therefore, are often generated via averaging sampling area majority. This may bias scales, varying largely across models. Thus, we evaluated for 14 Yields winter wheat silage maize were under production conditions. calculated this from spatial...
In the context of a national election, this study explores more than 69,000 Twitter messages containing mentions political parties and about 2,500 related user profiles to investigate network structure microbloggers with respect to, first, their party preference and, second, topics they discuss. We find that tend follow like-minded peers. Microbloggers in cohesive group have same preferences. addition, we conduct content analysis debate on explore which politicians are discussed whether...
Abstract Croplands account for ~ one‐third of global anthropogenic nitrous oxide (N 2 O) emissions. A number recent field experiments found substantial fallow‐period N O emissions, which have been neglected decades. However, the contribution emissions and associated drivers remain unclear. Based on 360 observations across agroecosystems, we simulated ratio fallow to whole‐year (R ) by developing a mixed‐effect model compiling cropping‐system‐specific input data. Our results revealed that...
Abstract. Reliable quantification of the sources and sinks atmospheric carbon dioxide (CO2), including that their trends uncertainties, is essential to monitoring progress in mitigating anthropogenic emissions under Kyoto Protocol Paris Agreement. This study provides a consolidated synthesis estimates for all natural CO2 European Union UK (EU27 + UK), derived from combination state-of-the-art bottom-up (BU) top-down (TD) data models. Given wide scope work variety datasets involved, this...
Abstract. Reliable quantification of the sources and sinks greenhouse gases, together with trends uncertainties, is essential to monitoring progress in mitigating anthropogenic emissions under Paris Agreement. This study provides a consolidated synthesis CH4 N2O consistently derived state-of-the-art bottom-up (BU) top-down (TD) data for European Union UK (EU27 + UK). We integrate recent emission inventory data, ecosystem process-based model results inverse modeling estimates over period...
Abstract. Knowledge of the spatial distribution fluxes greenhouse gases (GHGs) and their temporal variability as well flux attribution to natural anthropogenic processes is essential monitoring progress in mitigating emissions under Paris Agreement inform its global stocktake. This study provides a consolidated synthesis CH4 N2O using bottom-up (BU) top-down (TD) approaches for European Union UK (EU27 + UK) updates earlier syntheses (Petrescu et al., 2020, 2021). The work integrates updated...
The global challenges of food security and biodiversity are rarely addressed together, though recently there has been an increasing awareness that the two issues closely related. majority land available for agriculture is already used production, but despite productivity gains, one in nine people worldwide classified as insecure. There risk addressing insecurity through methods such agricultural expansion or intensification could lead to loss destruction habitats important conservation. This...
Abstract Agroecosystem models need to reliably simulate all biophysical processes that control crop growth, particularly the soil water fluxes and nutrient dynamics. As a result of erosion history, truncated colluvial profiles coexist in arable fields. The erosion‐affected field‐scale spatial heterogeneity may limit agroecosystem model predictions. objective was identify variation importance properties profile modifications for both agronomic environmental performance. Four lysimeters with...
Methane (CH4) is an important greenhouse gas that contributes to climate change and one of its major sources rice cultivation. The main aim this paper was compare two well-established biogeochemical models, namely Daily Century (DAYCENT) DeNitrification-DeComposition (DNDC) for estimating CH4 emissions grain yields a double-rice cropping system with tillage practice and/or stubble incorporation in the winter fallow season Southern China. Both models were calibrated validated using field...
Abstract. We analyse how climate change may alter risks posed by droughts to carbon fluxes in European ecosystems. The approach follows a recently proposed framework for risk analysis based on probability theory. In this approach, is quantified as the product of hazard and ecosystem vulnerability. drought calculated here from Standardized Precipitation–Evapotranspiration Index (SPEI). Vulnerability response simulated process-based vegetation models. use six different models: three generic...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 65:53-69 (2015) - DOI: https://doi.org/10.3354/cr01326 Contribution Special: 'Modelling climate change impacts for food security' Variability of effects spatial data aggregation on regional yield simulation by crop models H. Hoffmann1,*, G. Zhao1; L. J. van Bussel1,2, A. Enders1, X. Specka3, C. Sosa4, Yeluripati5, 16, F. Tao6,...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 65:141-157 (2015) - DOI: https://doi.org/10.3354/cr01301 Contribution Special: 'Modelling climate change impacts for food security' Effect of weather data aggregation on regional crop simulation different crops, production conditions, and response variables Gang Zhao1,*, Holger Hoffmann1, Lenny G. J. van Bussel1,2, Andreas...
Abstract Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from same location. Still challenging is performance when considering complex interrelations between dynamics under a changing climate. The objective this study was to test agronomic environmental flux‐related set models. aim predict weighing lysimeter‐based (i.e., agronomic) water‐related flux or state environmental) obtained...
The comparison of spatial patterns is recognized as an important task in landscape ecology especially when spatially explicit simulation modeling or remote sensing applied. Yet, there no agreed procedure for doing that, probably because different problems require algorithms. We explored a variety existing algorithms and modified some them to compare grid-based maps with categorical attributes. A new algorithm based on the “expanding window” approach was developed compared other known goal...
Abstract. Forests are important components of the greenhouse gas balance Europe. There is considerable uncertainty about how predicted changes to climate and nitrogen deposition will perturb carbon cycles European forests thereby alter forest growth, sequestration N2O emission. The present study aimed quantify balance, including exchange gases, over period 2010–2030, with a particular emphasis on spatial variability change. analysis was carried out for two tree species: beech Scots pine. For...