Anton & Petra Ehrmann Foundation Graduate College "Water - People - Agriculture"

Status: running

Runtime: 01.09.2013 - 31.12.2025

Project-Homepage: https://water4use.uni-hohenheim.de

Description

Background
The UN Decade of Water for Life has raised awareness of both the social and environmental importance of water. Water scarcity, access to sanitation and health, water and women, capacity building, financing, assessment, integrated water resources management, transboundary issues, environment and biodiversity, disaster risk reduction, food and agriculture, water pollution and energy production are the issues that are discussed and addressed worldwide. Many problems in this field arise from conflicts of use. E.g. agricultural use (e.g. rice cultivation) versus urban use (drinking water and sanitation), water for energy - energy for water, or biosphere protection and agriculture. Conflicts over water always involve multiple social groups and require multiple approaches to resolution. Therefore, integrative solution strategies have to be developed, which adequately consider the different demands and necessities and enable a sustainable use of the resource water.

Objective
With this research training group, the Anton & Petra Ehrman Foundation and the University of Hohenheim aim to train outstanding young scientists, to promote internationally recognized research with relevance, and to achieve sustainable success in the development of integrative solution strategies for water use conflicts. The focus is on the qualification of outstandingly qualified, high-performing applicants within the framework of the thematic focus and a structured qualification program.

Structure of the Graduate College
The Graduate College is designed for an average number of 8 fellows over twelve years. Research topics for the fellows are proposed by Hohenheim professors and selected in an internal procedure. The selection criteria are international relevance of the topic, integration of the fellow in existing research projects to promote synergies, quality of the research network, and the career potential for the fellow. The topics are advertised internationally and the suitability of the applicants is evaluated by an independent panel. Fellowships are awarded for an initial period of two years and are extended for a further year following a positive interim evaluation. Research projects are provided with a limited budget upon justified application, which is intended to ensure the feasibility of the research. Doctoral candidates are expected to publish the results of their research in international journals as stipulated in the doctoral regulations of the University of Hohenheim for cumulative doctorates.

Qualification in the Graduate College
The Research Training Group is brought up to the strength of 8 fellows in the course of the first three years and then maintained at this level. This enables an intensive exchange between experienced and inexperienced doctoral students within the framework of modules on scientific work (methodological competence) as well as on social and personal competence, in which interdisciplinary teamwork and leadership qualities are the main focus. In addition, the fellows will participate in subject-related special courses, which are selected individually with the supervisors, as well as in interdisciplinary summer schools, workshops and conferences on the core topics of the Research Training Group. Through this mixture of qualifying teaching content, the young scientists are intensively prepared for the complex job market of "science".

Quality assurance

In addition to the tough selection criteria for both topics and applicants, fellows will report regularly on the progress of their work at a World Water Seminar. An interim evaluation after 18 months in the graduate program, with an evaluative statement from the supervisor, will determine whether the fellowship and research will continue. A public colloquium is held annually on World Water Day (March 22), at which, in addition to current developments in the subject area of the Graduate College, the fellows will report to the sponsor on their work and its progress. The Graduate Collegeis led scientifically by a professor of the University of Hohenheim and administratively by an experienced post doc.

Involved Persons

• Prof. Dr. Folkard Asch
• M.Sc. Alexandra Schappert
• Dr. agr. Marcus Giese
• Prof. Dr. Michael Ahlheim
• Prof. Dr. rer. nat. Thilo Streck

Topics

• Effects of drought stress
• Bioeconomic modeling
• Climate protection
• Land-atmosphere feedbacks

Fundey by

• Anton & Petra Ehrmann-Stiftung

Publications in the frame of the project

• Schappert, A., Messelhäuser, M. H., Saile, M., Peteinatos, G. G., Gerhards, R. (2018)
  Weed Suppressive Ability of Cover Crop Mixtures Compared to Repeated Stubble Tillage and Glyphosate Treatments
• Schappert, A., Schaffert, A., Germer, J., Asch, F. (2017)
  Run-off, Soil Moisture, and Weed Management Strategies to Increase Water Productivity in Rain-fed Crops in Tanzania
• Glatzle, S., Giese, M., Asch, F. (2015)
  Screening for Water Saving Traits of Common Fodder Grasses Used in Integrated Crop-Livestock-Forestry Systems of Central West Brazil

BonaRes-SIGNAL – Sustainable agricultural intensification through agroforestry systems. SP 5: Modeling Agroforestry Systems

Status: running

Runtime: 1.10.2021-30.9.2024

PIs

Dr. Sebastian Gayler

Prof. Dr. Thilo Streck

Investigator

Fasil Mequanint

Daniela Bendel

Overall project leader

Prof. Dr. Edzo Veldkamp, Universität Göttingen

www.signal.uni-goettingen.de

The aim of the project is to analyze the potential added value of agroforestry systems in Germany compared to single crop cultivation through simulations with the plant growth/agroforestry simulation software XN (Expert-N), especially with regard to ecosystem services such as crop yield, water and air pollution control, and carbon sequestration. After calibration of the model at SIGNAL's experimental sites, scenario simulations will provide answers to the question of how the potential benefits of the respective agroforestry systems depend on the intensity of cultivation and water availability under the given site conditions. In a second step, simulations will be conducted for croplands across Germany to determine which soil and climate conditions are best suited for agroforestry systems. In the third step, the new model will be used to project into the near future the extent to which the proportions of land on which agroforestry has advantages over single-crop farming will change over the next 50 years.

CHARGE: Field investigation on the impact of high voltage direct current transmission earth cables on soils and agricultural crops

Status: running

Runitme: 01.01.2021 - 30.4.2025

Cooperation project between TransnetBW GmbH and Universität Hohenheim

Keywords: SuedLink, Earth cable, Heat emission

Short description

Involved Persons

• M.Sc. Alexander Schade
• M.Sc. Jonas Trenz
• Prof. Dr. Thilo Streck
• apl. Prof. Simone Graeff-Hönninger
• Dr. Joachim Ingwersen
• Dr. Andreas Lehmann
• Stefan Pilz (Umwelttechniker)

Participating institutions

• Institute of Soil Science and Land Evaluation
• Institute of Crop Sciences
• Fg. Biogeophysics
• AG Cropping systems and Modeling

Further Information

•  SuedLink bewegt: Felduntersuchung hat begonnen (Teil 1: Bau und Boden)
•  SuedLink bewegt: Felduntersuchungsflächen eingerichtet (Teil 2: Pflanzenwachstum & Bewirtschaftung)

Funded by

• Ministerium für Umwelt, Klima und Energiewirtschaft Baden-Württemberg, BW-PLUS – Baden-Württemberg Programm Lebensgrundlage Umwelt und ihre Sicherung

Climate-adapted groundwater management through real-time planning tools and model-based future scenarios (GW 4.0) - Nitrogen turnover and nitrate leaching from the soil zone (WP3)

Status: approved

Runtime: 1.4.2023 - 30.3.2026

PI

Prof. Dr. Thilo Streck

Prof. Dr.Weber

Investigator

N.N.

Funding

Funded by the Federal Ministery of Education and Research (BMBF)

Short description

The sustainable management of groundwater resources in agriculturally and urban intensively used regions requires the analysis of possible future scenarios as well as real-time planning tools. In the project, tools are developed to support water utilities and authorities in order to optimize both the operational management and the long-term planning of groundwater management. A focus is on the impacts of climate change induced changes in land management on groundwater resources in terms of groundwater recharge and seepage quality. Based on preliminary work by the applicants and the findings of the results of the current Baden-Württemberg “Water Supply Master Plan”, models are being developed for groundwater recharge, nitrogen load, groundwater levels, catchment areas of catchments and flow times, with which scenarios of climate and land use change are calculated and management strategies including prioritization of groundwater use are simulated. A data assimilation provides an always up-to-date model with web interface for short-term to seasonal planning. The results of the scenario analyses and the planning tool provide utilities and authorities for the first time with user-friendly aids for making decisions on a scientifically sound basis in an environment of increasing conflicts and extreme weather conditions. The study area includes the Upper Gaeu (karst aquifer in the Muschelkalk) and the Neckar Valley near Tübingen (gravel aquifer/Erfurt Formation), each with several supply companies. The project maps different site conditions (geology/land use), management issues and conflicts of use. After successful demonstration, the developed approach can be applied to the future model-based areal management of management of other groundwater bodies in and outside Baden-Württemberg.

Cultivar selection for sustainability and resilience (SONAR)

Status: running

Runtime: 1.1.2022 - 28.2.2025

PI

Prof. Dr. Thilo Streck

Investigator

M. Sc. Sai Kiran Kakarla

Funding

Europäische Innovationspartnerschaft Landwirtschaftliche Produktivität und Nachhaltigkeit (EIP-Agri)

Short description

Insect pests in particular are benefiting from advancing climate change, as their life cycle is usually highly dependent on temperature. Relevant for sugar beet and increasingly threatening yields are mainly aphids as carriers of dangerous yellowing viruses and the reed borer as a carrier of bacterial pathogens that manifest themselves in the SBR disease (= Syndrome Basses Richesses = syndrome of low sugar content). In both cases, considerable sugar yield losses (up to 45%) are possible.

Appropriate variety selection is not only an indispensable tool of integrated pest management; it also contributes to resilience, i.e. also to safeguarding yields under changing climatic conditions, and thus also influences the competitiveness and ultimately the survival of farms and upstream and downstream regional value chains from sugar beet. In this context, it should be noted: Only when all relevant aspects are taken into account together is the choice of variety also sustainable.

The changing framework conditions in the field of arable farming strategy, the application regulation in plant protection as well as the political objectives in federal states regarding the reduction of plant protection product use (reduction targets) cannot be achieved without a modified variety strategy. The SONAR project can make a decisive contribution to this.

DeepBluSky – Development of a comprehensive APV simulation tool for agriculture and power generation (APV - Agri-Photovoltaik, Agri-PV)

Status: Running

Runtime: 01.12.2022 - 30.11.2024

Cooperation project between sbp sonne GmbH and University of Hohenheim

PI

Dr. Sebastian Gayler

Prof. Dr. Tobias Weber (Uni Kassel)

Investigator

Dr. Florian Späth

Funding

Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg (Invest BW Innovations- und Technologievorhaben)

Short Description

In the "DeepBluSky" project, sbp sonne and the University of Hohenheim are developing a model and implementing it as simulation software to comprehensively describe APV (combined agricultural with photovoltaics, agri-PV). The simulation predicts both agricultural yield and the amount of electricity generated by photovoltaics (PV). The software can also be used to estimate the investment cost of PV, as well as calculate the cost of agricultural land management. In particular, the software takes into account the strong coupling between the PV system and the crop in terms of light, heat and water balance. Thus, an important contribution to the energy transition and to a higher resilience of agriculture with regard to climate change can be made.

The Department of Biogeophysics contributes the plant growth modelling toolbox Expert-N and investigates the effects of the changed light, heat and humidity conditions under the PV modules and its feedbacks. From this, model parameters are to be adapted to the changed environmental conditions.

DFG-FOR 5639 "Land-Atmosphere Feedback Initiative (LAFI)", Project P1: Observation and investigation of the land-atmosphere system, atmospheric boundary layer processes, and fluxes

Status: running

Run time: 01.2.2024 - 31.1.2028

Principle Investigators

Dr. Verena Rajtschan (Uni Hohenheim)

Prof. Dr. Thilo Streck (Uni Hohenheim)

Co-Applicant

Dr. Joachim Ingwersen (Uni Hohenheim)

Further applicants

Prof. Dr. Volker Wulfmeyer, IPM, UHOH, Stuttgart (Sprecher der FOR 5639 LAFI)

Dr. Frank Beyrich, MOL-RAO, DWD, Lindenberg

Dr. Thomas Jagdhuber, IG, UA, Augsburg; MRI, DLR, Wessling

Dr. Angelika Kübert, INAR, UH, Helsinki, Finland

Prof. Dr. Matthias Mauder, TUD, Dresden

Dr. Natalie Orlowski, UF, Freiburg

Dr. Stan Schymanski, LIST, Luxembourg

Prof. Dr. Christoph Thomas, UB, Bayreuth

Further Co-Applicants

Dr. Oliver Branch, IPM, UHOH, Stuttgart

Dr. Andreas Behrendt, IPM, UHOH, Stuttgart

Funded by

Deutsche Forschungsgemeinschaft (DFG)

Summary

The current observational design of the LAFO site will be extended to realize the following observation targets: (a) Simultaneous profiling of state variables, such as temperature and water content, throughout all compartments, including the subsurface, (b) the investigation of ABL (atmospheric boundary layer) energy and water vapor budgets as well as the surface energy balance closure, (c) profiling of turbulent quantities and fluxes from the land surface to the ABL top, (d) the measurement of ET (evapotranspiration) and its partitioning into E and T, (e) observations of vegetation dynamics, crop growth, transpiration, and stomatal behavior, and (f) the application of distributed sensors, sensor networks, and scanning wind, temperature, and moisture lidar systems to study the impact of land surface heterogeneities, micro-scale circulations, and internal boundary layers on surface fluxes and L-A feedbacks. The observations will be performed within a General Operations Period (GOP) in 2025 into which a series of five Intensive Observations Periods (IOPs) are embedded.

DFG-SPP 2322 SoilSystems: TraiMErgy | Integrated Trait-Based Modeling of Carbon and Energy Flows in Soil Systems

Status: laufend

Laufzeit: 1.10.2021 - 30.9.2024

PI

Prof. Dr. Thilo Streck

PostDoc/ Co-Investigator

Dr. Markus Müller

Partner

Dr. Stefano Manzoni (Stockholm University)
Jun.-Prof. Dr. Anthony Stein (Uni Hohenheim, Künstliche Intelligenz in der Agrartechnik)

DFG PP 2322 SoilSystems: https://gepris.dfg.de/gepris/projekt/441899689

TraiMErgy aims at the complex interplay between the soil microbiome and the carbon and energy flows in soil. Our central hypothesis is that the functional complexity of the soil microbiome and SOM controls matter and energy flows in soil systems. This hypothesis is tested using a novel, complex, data-driven bioenergetic SoilSystems Model: SoSyM-C.  SoSyM-C will integrate biogeochemical, thermodynamic, multi-omics, and isotopic data. The outcome of TraiMErgy will be a deeper understanding of soil organic matter turnover, coded in a mechanistic, robust and predictive biogeochemical-bioenergetic model.

Direct biogas conversion to green hydrogen and carbon materials by a scalable microwave heated catalytic reactor (TITAN)

Status: running

Runtime: 1.9.2022 - 30.8.2025

PI

Prof. Dr. Thilo Streck

Dr. Joachim Ingwersen

Investigator

Dr. Hermin Saki

Funding

Funded by the European Union

Short description

The direct catalytic conversion of biogas to green hydrogen produces nanocarbon. A potential market for this carbon is its use as a soil amendment material. The aim of the subproject is to investigate the effect of the nanocarbon on 1) soil hydraulic properties, 2) sorption behavior, and 3) transport and degradation of the nanocarbon in the soil and to describe it using a mathematical model.

Status: laufend

Projektbeginn: 01.09.2016
Projektende: 31.12.2024

Förderkennzeichen: 57316245

Projekt-Homepage: https://fsc.uni-hohenheim.de/en/projectclifood

Schlagworte: climate change, Eastern African region, Ethiopia, Food Security, multidisciplinary research, qualification program, SDG-Graduate School, SDGs, Sub-Saharan Africa, sustainable development

Beschreibung

Background and objectives
Food security is highly sensitive to climate risks in the Eastern African region. Food production, access to markets, and income from agricultural activities are connected inseparably with climate-related events and food security crises. The German-Ethiopian SDG-Graduate School entitled ‘Climate change effects on food security’ (CLIFOOD) aims at empowering young academics of HEIs on the African continent focusing on SDGs: No poverty, Zero hunger, Good health and well-being, Quality education, Climate action, Life on land, Partnerships for the goals.  Main objective of CLIFOOD is the education of African students at the (post) doctorate level to address the threats of climate change to food security in the Eastern African region. Furthermore, CLIFOOD strengthens bilateral partnerships between higher education institutions in Germany and Ethiopia, supports relevant, high-quality educational offerings of structured study courses on research subjects, achieves greatest possible multidisciplinary research, qualifies specialized experts and lecturers at doctorate and postdoc level, and contributes towards the joint development of innovative solutions to higher education and SDG topics. 

Research
Agriculture is the backbone of the Ethiopian economy, but climate change strongly affects food security in Sub-Saharan Africa. Ethiopia is facing severe droughts having impacts on the lives and livelihoods of farmers. Demand-driven research on climate change and food security will be conducted and improved within CLIFOOD with special reference to the Agenda 2030 and its SDGs. Interdisciplinary research on adaptation strategies for agriculture is conducted with respect to weed control, livestock production, food and feed crops, soil health, grain quality, farming households, human nutrition as well as seasonal weather forecasts.

Qualification program
CLIFOOD offers a unique interdisciplinary qualification program for PhD students and Postdocs. According to the research areas, it conveys knowledge and methods from a wide range of disciplines like soil science, physics, meteorology, (agro)ecology, crop science, livestock science, agricultural economics, and nutritional and food sciences.

Beteiligte Personen

• M.Sc. Williams O. Anteyi
• M.Sc. Fasil Mequanint Rettie
• Dr. sc. agr. Nicole Schönleber
• Dr. rer. nat. Thomas Schwitalla
• Prof. Dr. rer. nat. Thilo Streck
• Alemu Tolemariam Ejeta
• M.B.A. Tetyana Tonkoshkur
• Dr. Christian Troost
• Markos Ware
• Dr. rer. nat. Kirsten Warrach-Sagi
• PD Dr. Frank Rasche
• Prof. Dr. Joachim Müller
• M.Sc. Haimanot Ayele
• Prof. Dr. Thomas Berger
• Prof. Dr. sc. agr. Reiner Doluschitz
• PhD Susanne Dreschl-Bogale
• Prof. Dr. Jan Frank
• Mekides Gardi
• Dr. rer. nat. Sebastian Gayler
• apl. Prof. Dr. rer. nat. Petra Högy
• Dr. Sajid Latif
• Prof. Dr. rer. nat. Volker Wulfmeyer

Beteiligte Einrichtungen

• Fg. Agrarökologie der Tropen und Subtropen
• Institut für Physik und Meteorologie
• Institut für Landschafts- und Pflanzenökologie
• Institut für Ernährungswissenschaften
• Institut für Bodenkunde und Standortslehre
• Institut für Agrartechnik
• Food Security Center (FSC)
• Fg. Physik und Meteorologie
• Fg. Pflanzenökologie und Ökotoxikologie
• Fg. Ökonomik der Landnutzung in den Tropen und Subtropen (Josef G. Knoll Professur)
• Fg. Biogeophysik
• Fg. Biofunktionalität der Lebensmittel
• Fg. Agrartechnik in den Tropen und Subtropen
• Institut für Tropische Agrarwissenschaften (Hans-Ruthenberg-Institut)

Weitere Informationen

• Facebook Account - Food Security Center
• Video - Food Security Center

Förderer

• Supported by the DAAD program Bilateral SDG Graduate Schools
• funded by the Federal Ministry for Economic Cooperation and Development (BMZ)

INTEGRA - AP5: Integration of habitat structures into agricultural land to promote pollinator insects

Status: running

Runtime: 2021 - 2024

Coordinator

Prof. Dr. Thomas Seifert, Albert-Ludwigs-Universität Freiburg

Project leader

Dr. Sebastian Gayler

Investigator

Hossein Zare, M.Sc.

The aim of the project is to develop a process-based computer model that can be used to simulate both the growth of the woody plant elements and the crucial tree/field crop interactions, and to analyze the potential added value of agroforestry systems under different boundary conditions. For this purpose, both the tree and shrub components and the field crop component are explicitly spatially represented. Since the information of the trees and shrubs is available as high-resolution three-dimensional models, they can be recombined arbitrarily in agroforestry models. Thus, for the first time, the influences of complex tree rows, hedgerows and shrubs can be considered as input variables in eco- physiological process models. Shading of arable crops and below-ground competition for nutrients and water are simulated based on ray-tracing algorithms and explicit root structure models, respectively. The model development is carried out in the agricultural and forest ecosystem model package Expert-N, in which different modules are available for the simulation of water, matter and energy fluxes in the soil-plant-atmosphere system. Approaches already available in Expert-N for simulating the interaction of different plant species are to be verified with the help of exemplarily collected data (shading, soil moisture) and further adapted to the special framework conditions in the investigated AFS. This will allow, for example, the modeling of crop yields as a function of their ecophysiological properties (keyword "shade tolerance") and the structure of the tree components present in the system. The simulations will help to find suitable tree - arable crop combinations.

Rhizo4Bio: CROP | Combining ROot contrasted Phenotypes for more resilient agro-ecosystem

Status:laufend

Laufzeit: 2020-2024 (Phase I)

Uni Hohenheim

PIs

Holger Pagel (Leitung des Teilprojekts in Hohenheim)
Christian Poll, Ellen Kandeler, Thilo Streck

PhD students

Adrian Lattacher, Ahmet Sircan

Research Center Jülich

PIs

Guillaume Lobet (Koordinator Gesamtprojekt)
Andrea Schnepf, Mathieu Javaux, Youri Rothfuss, Thomas Pütz, Moritz Harings

PhD students
Mona Giraud, Samuel La Gall

2020-2024 (Phase I)

BMBF | Rhizo4Bio: https://www.bonares.de/crop

The objective of our project is to demonstrate that combining plants with ​complementary root system​​ ​architectures​​ (different genotypes) within a single field creates a​ more resilient and durable agro-ecosystem against drought stress​​. We will focus on three main processes: water acquisition, fertilizer valorisation and microbial-root interactions. We will focus on the plant species winter wheat (​Triticum aestivum​) for its economical importance and its susceptibility to future climate modifications.

Status: abgeschlossen

Projektbeginn: 01.03.2018
Projektende: 28.02.2021

Projektwebsite: https://water4use.uni-hohenheim.de

Beteiligte Personen

• Dr. rer. nat. Joachim Ingwersen
• Prof. Dr. rer. nat. Thilo Streck

 Beteiligte Einrichtungen

• Fakultät Agrarwissenschaften
• Fg. Biogeophysik
• Institut für Bodenkunde und Standortslehre

BabbA | Biodegradable bags in biowaste recycling: potential to displace conventional plastic bags, degradation in the plant, environmental relevance - SP 2: Degradation behavior in soil

Status: running

Runtime: 2021-2022

PIs

Dr. Holger Pagel, Prof. Dr. Ellen Kandeler

Investigators

Dr. Sven Marhan, Lion Schöpfer (PhD student)

Coordinator

Fraunhofer-Institut für Chemische Technologie
Jens Forberger

Partners

Universität Bayreuth, Bioprozesstechnik
Prof. Dr. Ruth Freitag,
Thomas Steiner (PhD student)

Universität Bayreuth, Tierökologie 1
Dr. Martin Löder, Prof. Dr. Christian Laforsch

BEM Umweltservice GmbH
Jörg Bernd, Jürgen Geyer

BWPLUS, Ministerium für Umwelt, Klima und Energiewirtschaft Baden-Württemberg
https://www.projekt-babba.de/

As a result of the application of organic fertilizers on agricultural land, potentially significant amounts of plastic residues can enter soils. No meaningful data exist on the impact of plastic residues on soil organisms and essential soil functions. This project will collect data on the degradation behavior of plastic collection media residues following biological treatment by composting or fermentation.

CFD-Micro-Sim: Optimization of microclimate in NOcsPS growing systems based on 3D computational fluid dynamics

Status: running

Runtime: 1.10.2020 - 30.9.2023

PIs

Prof. Dr. Thilo Streck

Dr. Joachim Ingwersen

Investigator

Dr. Shehan Morandage

Funding

Federal Ministry of Education and Research (BMBF)

Short description

The subproject investigates the influence of the microclimate on the risk of infestation with pathogens. The forecast models used to date do not explicitly take the influence of stand and plant architecture on pathogen establishment into account. How much the stand heats up or how quickly it dries off again after a rainfall, however, depends largely on local aerodynamic properties (displacement height, roughness length, etc.). These are in turn the result of factors such as sowing density, sowing geometry, leaf area, leaf width, leaf inclination and plant height variability. These influencing factors are mapped in 3D simulations on the basis of the system tests with special consideration of equal-distance sowing. This enables better prognostic modeling of pathogen infestation of crop stands.

Status: abgeschlossen

Projektbeginn: 01.02.2012
Projektende: 31.12.2019

Förderkennzeichen: DFG: FOR 1695

Projekt-Homepage: https://klimawandel.uni-hohenheim.de

Schlagworte: Agrarlandschaften, Klimaänderung, Landwirtschaft und Umwelt, Modellierung, Nachhaltigkeit, Regionalmodell

Beschreibung

Aufbauend auf dem DFG-Verbundprojekt PAK 346 (2008-2011) untersucht die DFG-Forschergruppe 1695 seit 2012 in zehn Teilprojekten die Folgen des globalen Klimawandels für die Struktur und die Funktionen von Agrarlandschaften auf regionaler Skala. Gemeinsames Ziel der Arbeitsgruppen aus Hohenheim, München und Gießen ist es, durch eine Kombination aus integrierter Modellierung, intensiven Feldmessungen und kontrollierten Experimenten zu einem verbesserten Prozessverständnis und einer besseren Kenntnis der Wechselwirkungen zwischen Landoberfläche und Atmosphäre beizutragen, um so Projektionen der Landschaftsentwicklung und möglicher Anpassungsstrategien bis 2030 ableiten zu können. Dazu werden hochaufgelöste regionale Klima-, Landnutzungs- und Pflanzenwachstumsmodelle mit sozio-ökonomischen Modellen gekoppelt und so ein neuartiges Landsystemmodell entwickelt. Mit speziellen Messgeräten und Fernerkundungsverfahren werden in den zwei Modellregionen Kraichgau und Mittlere Schwäbische Alb Daten zu Energie- und Stoffflüssen zwischen dem Boden-Pflanze-System und der Atmosphäre erhoben. In Klimakammern werden künftige CO2- und Klimabedingungen simuliert, um die Auswirkungen auf den Ertrag von Kulturpflanzen und die Qualität der erzeugten Nahrungsmittel zu untersuchen. Die in Feld- und Klimakammeruntersuchungen sowie in Betriebsbefragungen in den Modellregionen gewonnenen Daten dienen wiederum zur Verbesserung von Modellkomponenten und zur Validierung des neuen Landsystemmodells.

Nach einer positiven Begutachtung durch die DFG beginnt im Februar 2015 die zweite Phase der Projektförderung, in der die Forschergruppe 8 Teilprojekte hat. Die zweite Phase endet im September 2018.

Beteiligte Personen

• M.Sc. Rana Shahbaz Ali
• Dr. agr. Christian Poll
• Hon.-Prof. Eckart Priesack
• Prof. Dr. rer. nat. Volker Wulfmeyer
• Prof. Dr. Ellen Kandeler
• Dr. rer. nat. Sebastian Gayler
• Dr. rer. nat. Joachim Ingwersen
• PD Dr. Frank Rasche
• Priv. Doz. Dr. rer. nat. Hans-Dieter Wizemann
• Dr. rer. nat. Josipa Milovac
• Dr. rer. nat. Hans-Stefan Bauer
• Dr. rer. nat. Andreas Behrendt
• Prof. Dr. rer. nat. Andreas Fangmeier
• Prof. Dr. sc. agr. Stephan Dabbert
• Prof. Dr. Georg Cadisch
• M.Sc. Ravshan Eshonkulov
• M.Sc. Moritz Laub
• M.Sc. Kristina Imukova
• Dr. Christian Troost
• apl. Prof. Dr. rer. nat. Petra Högy
• Dr. rer. nat. Kirsten Warrach-Sagi
• Dr. rer. nat. Andreas Klumpp
• Dipl.-Geographin Sibylle Schulz
• Prof. Dr. rer. nat. Thilo Streck
• Prof. Dr. Thomas Berger
• Dr. Zorica Kauf
• Prof. Dr. Torsten Müller

• Prof. Dr. Eckart Priesack, Dr. Florian Heinlein, Helmholtz Zentrum München; Prof. Dr. Joachim Aurbacher, M. Sc. Aileen Jänecke, Justus-Liebig-Universität Gießen

Beteiligte Einrichtungen

• Auswirkungen von Trockenstress
• Klimaschutz
• Klimaanpassung
• Institut für Tropische Agrarwissenschaften (Hans-Ruthenberg-Institut)
• Institut für Landwirtschaftliche Betriebslehre
• Institut für Landschafts- und Pflanzenökologie
• Institut für Bodenkunde und Standortslehre
• Fg. Produktionstheorie und Ressourcenökonomik im Agrarbereich
• Fg. Pflanzenökologie und Ökotoxikologie
• Fg. Pflanzenbau in den Tropen und Subtropen
• Fg. Ökonomik der Landnutzung in den Tropen und Subtropen (Josef G. Knoll Professur)
• Fg. Bodenbiologie
• Fg. Biogeophysik
• DFG-Forschergruppe 1695: Regional Climate Change
• Bioökonomische Modellierung
• Land-Atmosphäre-Rückkopplungen

• Helmholtz Zentrum München, Institut für Bodenökologie; Institut für Betriebslehre der Agrar- und Ernährungswirtschaft, Justus-Liebig-Universität Gießen

Fördeder

• Deutsche Forschungsgemeinschaft

Publikationen im Rahmen des Projekts

• Poltoradnev, M., Ingwersen, J., Streck, T. (2015):
  Calibration and application of Aquaflex TDT soil water probes to measure the soil water dynamics of agricultural topsoil in Southwest Germany
• Warrach-Sagi, K., Goergen, K., Vautard, R. (2014)
  Experiences with WRF in EURO-CORDEX
• Milovac, J., Ingwersen, J., Warrach-Sagi, K. (2014)
  Soil texture forcing data for the whole world for the Weather Research and Forecasting (WRF) Model of the University of Hohenheim (UHOH) based on the Harmonized World Soil Database (HWSD) at 30 arc-second horizontal resolution.
• Milovac, J., Ingwersen, J., Warrach-Sagi, K. (2014)
  Top soil texture forcing data for the area of Germany for the Weather Research and Forecasting (WRF) Model based on the Bodenubersichtskarte (BUK) at a scale 1:1000000 (BUK1000) and provided by the University of Hohenheim (UHOH)
• Greve, P., Warrach-Sagi, K., Wulfmeyer, V. (2013)
  Evaluating soil water content in a WRF-NOAH downscaling experiment
• Warrach-Sagi, K., Schwitalla, T., Wulfmeyer, V., Bauer, H.-S. (2013)
  Evaluation of a climate simulation in Europe based on the WRF-NOAH Model System: precipitation in Germany
• Vautard, R., Gobiet, A., Jacob, D., Belda, M., Colette, A., Deque, M., Fernandez, J., Garcia-Diez, M., Goergen, K., Guettler, I., Halenka, T., Keuler, K., Kotlarski, S., Nikulin, G., Patarcic, M., Suklitsch, M., Teichmann, C., Warrach-Sagi, K., Wulfmeyer (2013)
  The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project
• Gayler, S., Ingwersen, J., Priesack, E., Wöhling, T., Wulfmeyer, V., Streck, T. ( 2013)
  Assessing the relevance of subsurface processes for the simulation of evapotranspiration and soil moisture dynamics with CLM3.5: Comparison with field data and crop model simulations
• Wöhling,T., Gayler, S., Priesack, E., Ingwersen, J., Wizemann, H.-D., Högy, P., Cuntz, M., Attinger, S., Wulfmeyer, V., Streck, T. (2013)
  Multiresponse, multiobjective calibration as a diagnostic tool to compare accuracy and structural limitations of five coupled soil-plant models and CLM3.5
• Warrach-Sagi, K., Milovac, J., Bauer, H.-S., Behrendt, A., Schwitalla, T., Späth, F., Wulfmeyer, V. (2014):
  High-resolution climate predictions and short-range forecasts
• Kunlanit, B., Vityakon, P., Puttaso, A., Cadisch, G., Rasche, F. (2014)
  Mechanisms controlling soil organic carbon composition pertaining to microbial decomposition of biochemically contrasting organic residues: Evidence from midDRIFTS peak area analysis
• Gayler, S., Wöhling,T., Grzeschik, M., Ingwersen, J., Wizemann, H.-D., Warrach-Sagi, K., Högy, P., Attinger, S., Streck, T., Wulfmeyer, V. (2014)
  Incorporating dynamic root growth enhances the performance of Noah-MP at two contrasting winter wheat field sites
• Makowski, D., Asseng, S., Ewert, F., Bassu, S. et al. (2015)
  Statistical analysis of large simulated yield datasets for studying climate effects
• Wulfmeyer, V., Hardesty, R. M., Turner, D. D., Behrendt, A., Cadeddu, M. P., Di Girolamo, P., Schlüssel, P., Van Baelen, J., Zus, F. (2015)
  A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles
• Troost, C., Berger, T., (2015)
  Process-based simulation of regional supply functions using farm-level and agent-based models
• Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué, M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E., Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrachagi, K., Wulfmeyer, V. (2014)
  Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble
  
• Berger, T., Troost, C. (2014)
  Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture
• Smirnova N., Demyan S., Rasche F., Cadisch G., Müller T. (2014)
  Calibration of CO2 trapping in alkaline solutions during soil incubation at varying temperatures using a Respicond VI
• Fon L. (2014)
  Quantifying different stabilities of soil organic matter in cropland at the regional scale: Integrating size/density separation and chemical oxidation
• Mirzaeitalarposhti R. (2014)
  Development of MidDRIFTS methodologies to support mapping of physico-chemical soil properties at the regional scale
• Rasche, F., Marhan, S., Berner, D., Keil, D., Kandeler, E., Cadisch, G. (2013)
  midDRIFTS-based partial least square regression analysis allows predicting microbial biomass, enzyme activities and 16S rRNA gene abundance in soils of temperate grasslands
• Demyan, M.S., Rasche, F., Schütt, M., Smirnova, N., Schulz, E., and Cadisch, G. (2013)
  Combining a coupled FTIR-EGA system and in situ DRIFTS for studying soil organic matter in arable soils
• Warrach-Sagi, K., Bauer, H.-S., Branch, O., Milovac, J., Schwitalla, T., Wulfmeyer, V. (2013)
  High-resolution climate predictions and short-range forecasts to improve the process understanding and the representation of land-surface interactions in the WRF model in Southwest Germany (WRFCLIM)
• Wöhling, T., Geiges, A., Nowak, W., Gayler, S., Högy, P., Wizemann, H.-D. (2013)
  Towards optimizing experiments for maximum-confidence model selection between different soil-plant models
• Aurbacher, J., Reinmuth, E., Parker, P., Calberto, G., Steinbach, J., Ingwersen, J., Dabbert, S. (2013)
  The Influence of Climate Change on Short-term Farm Management – an Interdisciplinary Modelling Approach
• Wöhling, T., Gayler, S., Ingwersen, J., Streck, T., Vrugt, J., Priesack, E. (2012)
  Multiobjective calibration of coupled soil-vegetation-atmosphere models
• Berger, T., Troost, C. (2012)
  Agent-based Modelling in the Agricultural Economics Tradition of Recursive Farm Modelling and Adaptive Micro-Systems
• Demyan, M.S., Rasche, F., Schulz, E., Breulmann, M., Müller, T., Cadisch, G. (2012)
  Use of specific peaks obtained by diffuse reflectance Fourier transform mid-infrared spectroscopy to study the composition of organic matter in a Haplic Chernozem
• Hoffmann, N., Keck, M., Neuweger, H., Wilhelm, M., Högy, P., Niehaus, K., Stoye, J. (2012)
  Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets
• Warrach-Sagi, K., Schwitalla, T., Bauer, H.-S., Wulfmeyer, V. (2013)
  A regional climate model simulation for EURO-CORDEX with the WRF model
• Högy, P., Fangmeier, A. (2013)
  Yield and yield quality of major cereals under climate change. In: Wake up before it is too late - Make agriculture truly sustainable now for food security in a changing climate. Chapter 1. Key development challenges of a fundamental transformation
• Oehme, V., Högy, P., Zebitz, C.P.W., Fangmeier, A. (2013)
  Effects of elevated atmospheric CO2 concentrations on phloem sap composition of spring crops and aphid performance
• Aurbacher, J., Parker, P. S., Calberto Sánchez, G. A., Steinbach, J., Reinmuth, E., Ingwersen, J., Dabbert, S. (2013)
  Influence of climate change on short term management of field crops – A modelling approach
• Asseng, S., Ewert, F., Rosenzweig, C., et al. (2013)
  Uncertainty in simulating wheat yields under climate change
• Biernath, C.J., Bittner, S., Klein, C., Gayler, S., Hentschel, R., Hoffmann, P., Högy, P., Fangmeier, A., Priesack, E. (2013)
  Modeling acclimation of leaf photosynthesis to atmospheric CO2 enrichment
• Giacometti, C., Demyan, M.S., Cavani, L., Marzadori, C., Ciavatta, C., Kandeler, E. (2013)
  Chemical and microbiological soil quality indicators and their potential to differentiate fertilization regimes in temperate agroecosystems
• Högy, P., Brunnbauer, M., Koehler, P., Schwadorf, K., Breuer, J., Franzaring, J., Zhunusbayeva, D., Fangmeier, A. (2013)
  Grain quality characteristics of spring wheat (Triticum aestivum) as affected by free-air CO2 enrichment
• Oehme, V., Högy, P., Franzaring, J., Zebitz, C.P.W., Fangmeier, A. (2013)
  Pest and disease abundance and dynamics in wheat and oilseed rape as affected by elevated atmospheric CO2 concentrations
• Troost, C., Calberto, G., Berger, T., Ingwersen, J., Priesack, E., Warrach-Sagi, K., Walter, T. (2012)
  Agent-based modeling of agricultural adaptation to climate change in a mountainous area of Southwest Germany
• Mirzaeitalarposhti, R., Demyan, M.S., Rasche, F., Poltoradnev, M., Cadisch, G., Müller, T. (2015)
  MidDRIFTS-PLSR-based quantification of physico-chemical soil properties across two agroecological zones in Southwest Germany: generic independent validation surpasses region specific cross-validation
• Ivanov, M., Warrach-Sagi, K., Wulfmeyer, V. (2018)
  Field significance of performance measures in the context of regional climate model evaluation. Part 2: precipitation.
• Reinmuth, E., Parker, P., Aurbacher, J., Högy, P., Dabbert, S. (2017)
  Modeling perceptions of climatic risk in crop production
• Heinlein, F., Biernath, C., Klein, C., Thieme, C., Priesack, E. (2017)
  Evaluation of simulated transpiration from maize plants on lysimeters
• Imukova, K., Ingwersen, J., Hevart, M., Streck, T. (2016)
  Energy balance closure on a winter wheat stand: comparing the eddy covariance technique with the soil water balance method
• Parker, P., Ingwersen, J., Högy, P., Priesack, E., Aurbacher, J. (2016)
  Simulating regional climate-adaptive field cropping with fuzzy logic management rules and genetic advance
• Demyan, M.S., Ingwersen, J., Nkwain Funkuin, Y., Ali, R.S., Mirzaeitalarposhti, R., Rasche, F., Poll, C., Müller, T., Streck, T., Kandeler, E., Cadisch, G. (2016):
  Partitioning of ecosystem respiration in winter wheat and silage maize—modeling seasonal temperature effects
• Troost, C. (2016):
  Mikrosimulation landwirtschaftlicher Produktion auf der Schwäbischen Alb - Klimaanpassungsforschung mit detaillierten Daten aus der Agrarstatistik
• Milovac, J., Warrach-Sagi, K., Behrendt, A., Späth, F., Ingwersen, J., Wulfmeyer, V. (2016):
  Investigation of PBL schemes combining the WRF model simulations with scanning water vapor differential absorption lidar measurements
• Wulfmeyer, V., Muppa, S. K., Behrendt, A., Hammann, E., Späth, F., Sorbjan, Z., Turner, D. D., Hardesty, R. M. (2016):
  Determination of convective boundary layer entrainment fluxes, dissipation rates, and the molecular destruction of variances: Theoretical description and a strategy for Its confirmation with a novel lidar system synergy
• Reinmuth, E., Dabbert, S. (2017):
  Toward more efficient model development for farming systems research – an integrative review
• Broberg, M., Högy, P., Pleijel, H. (2017)
  CO2-induced changes in wheat grain composition: meta-analysis and response functions
• Rasche, F., Kramer, S., Enowashua, E., Mackie, M., Högy, P., Marhan, S. (2017)
  Contrasting effect of elevated atmospheric CO2 on the C/N ratio of faba bean and spring wheat residues exert only minor changes in the abundance and enzyme activities of soil proteolytic bacteria
• Ivanov, M., Warrach-Sagi, K., Wulfmeyer, V. (2018)
  Field significance of performance measures in the context of regional climate model evaluation. Part 1: temperature.
• Poltoradnev, M., Ingwersen, J., Imukova, K., Högy, P., Wizemann, H.-D., Streck, T. (2018)
  How well does Noah-MP simulate the regional mean and spatial variability of topsoil water content in two agricultural landscapes in southwest Germany?
• Ali, R. S., Kandeler, E., Marhan, S., Demyan, M. S., Ingwersen, J., Mirzaeitalarposhti, R., Rasche, F., Cadisch, G., Poll, C. (2018)
  Controls on microbially regulated soil organic carbon decomposition at the regional scale
• Baroni, G., Scheiffele, L. M., Schrön, M., Ingwersen, J., Oswald, S. E. (2018)
  Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing
• Ali, R. S., Poll, C., Kandeler, E. (2018)
  Dynamics of soil respiration and microbial communities: Interactive controls of temperature and substrate quality
• Zhang, X., Högy, P., Wu, X., Schmid, I., Wang, X., Schulze, W.X., Jiang, D., Fangmeier, A. (2018)
  Physiological and proteomic evidence for the interactive effects of post-anthesis heat stress and elevated CO2 on wheat
• Mirzaeitalarposhti R., Demyan M.S., Rasche F., Cadisch G., Müller T. (2017)
  Mid-infrared spectroscopy to support regional-scale digital soil mapping on selected croplands of South-West Germany
• Knist, S., Goergen, K., Buonomo, E., Christensen, O. B., ...Warrach-Sagi, K., Wulfmeyer, V., Simmer, C. (2017)
  Land-atmosphere coupling in EURO-CORDEX evaluation experiments
• Späth, F., Behrendt, A., Muppa, S. K., Metzendorf, S., Riede, A., Wulfmeyer, V. (2016)
  3D water vapor field in the atmospheric boundary layer observed with scanning differential absorption lidar
• Mirzaeitalarposhti, R., Demyan, M.S., Rasche, F., Cadisch, G., Müller, T. (2016):
  Overcoming carbonate interference on labile soil organic matter peaks for midDRIFTS analysis
• Troost, C., Berger, T. (2015)
  Dealing with uncertainty in agent-based simulation: Farm-level modeling of adaptation to climate change in Southwest Germany
• Ali, R. S., Ingwersen, J., Demyan, M. S., Funkuin, Y. N., Wizemann, H.-D., Kandeler, E., Poll, C. (2015):
  Modelling in situ activities of enzymes as a tool to explain seasonal variation of soil respiration from agro-ecosystems
• Parker, P., Reinmuth, E., Ingwersen, J., Högy, P., Priesack, E., Wizemann, H.-D., Aurbacher, J. (2015):
  Simulation-based projections of crop management and gross margin variance in contrasting regions of Southwest Germany
• Troost, C., Walter, T., Berger, T. (2015):
  Climate, energy and environmental policies in agriculture: Simulating likely farmer responses in Southwest Germany
• Arnold, R. T., Troost, C., Berger, T. (2015):
  Quantifying the economic importance of irrigation water reuse in a Chilean watershed using an integrated agent-based model
• Islam T. (2015):
  Development of a continuous density gradient method for soil organic matter fractionation for studying decomposition and turnover under different tillage systems in arable soils
• Imukova, K., Ingwersen, J., Streck, T. (2015):
  Determining the spatial and temporal dynamics of the green vegetation fraction of croplands using high-resolution RapidEye satellite images
• Martre, P., Wallach, D., Asseng, S. et al. (2015):
  Multimodel ensembles of wheat growth: Many models are better than one
• Pleijel, H., Högy, P. (2015):
  CO2 dose-response functions for wheat grain, protein and mineral yield based on FACE and open-top chamber experiments
• Wizemann, H.-D., Ingwersen, J., Högy, P., Warrach-Sagi, K., Streck, T., Wulfmeyer, V. (2015):
  Three year observations of water vapor and energy fluxes over agricultural crops in two regional climates of Southwest Germany
• Fangmeier, A., Torres-Toledo, V., Franzaring, J., Damsohn, W. (2016):
  Design and performance of a new FACE (free air carbon dioxide enrichment) system for crop and short vegetation exposure
• Poltoradnev, M., Ingwersen, J., Streck, T. (2016):
  Spatial and temporal variability of soil water content in two regions of Southwest Germany during a three-year observation period
• Troost, C., Berger, T., (2016)
  Simulating structural change in agriculture: Modelling farming households and farm succession
• Eisele, M., Troost, C., Berger, T. (2016):
  Experimental measurement of stakeholder expectation formation and risk taking behavior for integrated regional agricultural land use modeling
• Jänecke, A., Eisele, M., Reinmuth, E., Steinbach, J., Aurbacher, J. (2016):
  German Farmers' Perception of Climate Change Effects and Determinants influencing their Climate Awareness
• Troost, C., Berger, T., (2016):
  Advances in probabilistic and parallel agent‐based simulation: Modelling climate change adaptation in agriculture
• Hoffmann, H., Zhao, G., Asseng, S., Bindi, M., Biernath, C.,...Heinlein, F.,...Priesack, E., et al. (2016):
  Impact of spatial soil and climate input data aggregation on regional yield simulations
• van Bussel, L.G.J., Ewert, F., Zhao, G., Hoffmann, H., Enders, A., Wallach, D., Constantin, J., Raynal, H., Klein, C., Biernath, C., Heinlein, F., Priesack, F., Tao, F., et al. (2016):
  Spatial sampling of weather data for regional crop yield simulations
• Ingwersen, J., Imukova, K., Högy, P., Streck, T. (2015)
  On the use of the post-closure methods uncertainty band to evaluate the performance of land surface models against eddy covariance flux data

Status: abgeschlossen

Projektbeginn: 01.02.2012
Projektende: 31.08.2018

Förderkennzeichen: DFG: STR 481/9-1,2 & FOR 1695

Projekt-Homepage: https://klimawandel.uni-hohenheim.de

Schlagworte: Agrarlandschaften, Bodenwassermodellierung, Pflanzenwachstumsmodelle

Beschreibung

Gekoppelte Atmosphären-Landoberflächen-Modelle sind wichtige Werkzeuge, um die Auswirkungen des Klimawandels auf der regionalen Skala abzuschätzen. Die Qualität regionaler Klimasimulationen hängt wesentlich von einer guten Beschreibung der Landoberflächen­austauschprozesse ab. Hier spielen die Wechselwirkungen zwischen Böden, Pflanzen und der Atmosphäre eine Schlüsselrolle. In der ersten Phase haben wir das Pflanzenwachstumsmodell GECROS mit dem Landoberflächenmodell NOAHMP gekoppelt. In der zweiten Phase werden wir die Leistungsfähigkeit und Robustheit von NOAHMP-GECROS im Hinblick darauf testen, wie gut Bodenwasserhaushalt, Pflanzenwachstum und Landoberflächenaustausch vom Modell abgebildet werden. Die Überprüfung und nötigenfalls Weiterentwicklung wird anhand der Langzeitdaten von unseren Eddy-Kovarianz-Stationen und regionalen Bodenwassermessnetzen erfolgen. Über das Atmosphären-Landoberflächen-Pflanzenwachstums-Modell ALCM (NOAHMP-GECROS gekoppelt mit WRF) ist NOAHMP-GECROS ein wesentlicher Bestandteil des zu entwickelnden Integrierten Landsystem-Modellsystems (ILMS). In enger Zusammenarbeit mit den anderen Projekten der Forschergruppe werden wir mit ILMS Rückkopplungen in Landsystemen (Kraichgau und Schwäbische Alb) unter dem Klimawandel untersuchen. Innerhalb dieser Zusammenarbeit werden wir unter anderem klären, bis zu welchem Detail Prozesse im Bereich Boden-Pflanze abgebildet werden müssen, um Landschaftsfunktionen wie Pflan­zen­produktion und Wasser­haus­halt ausreichend genau zu simulieren.

Teilprojekt P2 der DFG-Forschergruppe 1695 "Agricultural Landscapes under Global Climate Change – Processes and Feedbacks on a Regional Scale"

Beteiligte Personen

• M.Sc. Ravshan Eshonkulov
• Prof. Dr. rer. nat. Thilo Streck
• Dr. rer. nat. Sebastian Gayler
• Dr. rer. nat. Joachim Ingwersen

Beteiligte Einrichtungen

• DFG-Forschergruppe 1695: Regional Climate Change
• Fg. Biogeophysik
• Institut für Bodenkunde und Standortslehre

Förderer

• Deutsche Forschungsgemeinschaft

Publikationen im Rahmen des Projekts

• Poltoradnev, M., Ingwersen, J., Imukova, K., Högy, P., Wizemann, H.-D., Streck, T. (2018)
  How well does Noah-MP simulate the regional mean and spatial variability of topsoil water content in two agricultural landscapes in southwest Germany?
• Ingwersen, J., Imukova, K., Högy, P., Streck, T. (2015)
  On the use of the post-closure methods uncertainty band to evaluate the performance of land surface models against eddy covariance flux data
• Mirzaeitalarposhti, R., Demyan, M.S., Rasche, F., Poltoradnev, M., Cadisch, G., Müller, T. (2015)
  MidDRIFTS-PLSR-based quantification of physico-chemical soil properties across two agroecological zones in Southwest Germany: generic independent validation surpasses region specific cross-validation
• Poltoradnev, M., Ingwersen, J., Streck, T. (2015)
  Calibration and application of Aquaflex TDT soil water probes to measure the soil water dynamics of agricultural topsoil in Southwest Germany
• Makowski, D., Asseng, S., Ewert, F., Bassu, S. et al. (2015)
  Statistical analysis of large simulated yield datasets for studying climate effects
• Gayler, S., Wöhling,T., Grzeschik, M., Ingwersen, J., Wizemann, H.-D., Warrach-Sagi, K., Högy, P., Attinger, S., Streck, T., Wulfmeyer, V. (2014)
  Incorporating dynamic root growth enhances the performance of Noah-MP at two contrasting winter wheat field sites
• Wöhling,T., Gayler, S., Priesack, E., Ingwersen, J., Wizemann, H.-D., Högy, P., Cuntz, M., Attinger, S., Wulfmeyer, V., Streck, T. (2013)
  Multiresponse, multiobjective calibration as a diagnostic tool to compare accuracy and structural limitations of five coupled soil-plant models and CLM3.5
• Asseng, S., Ewert, F., Rosenzweig, C., et al. (2013)
  Uncertainty in simulating wheat yields under climate change
• Aurbacher, J., Parker, P. S., Calberto Sánchez, G. A., Steinbach, J., Reinmuth, E., Ingwersen, J., Dabbert, S. (2013)
  Influence of climate change on short term management of field crops – A modelling approach
• Gayler, S., Ingwersen, J., Priesack, E., Wöhling, T., Wulfmeyer, V., Streck, T. (2013)
  Assessing the relevance of subsurface processes for the simulation of evapotranspiration and soil moisture dynamics with CLM3.5: Comparison with field data and crop model simulations
• Aurbacher, J., Reinmuth, E., Parker, P., Calberto, G., Steinbach, J., Ingwersen, J., Dabbert, S. (2013)
  The Influence of Climate Change on Short-term Farm Management – an Interdisciplinary Modelling Approach
• Wöhling, T., Gayler, S., Ingwersen, J., Streck, T., Vrugt, J., Priesack, E. (2012)
  Multiobjective calibration of coupled soil-vegetation-atmosphere models
• Imukova, K., Ingwersen, J., Streck, T. (2015)
  Determining the spatial and temporal dynamics of the green vegetation fraction of croplands using high-resolution RapidEye satellite images
• Ali, R. S., Ingwersen, J., Demyan, M. S., Funkuin, Y. N., Wizemann, H.-D., Kandeler, E., Poll, C. (2015)
  Modelling in situ activities of enzymes as a tool to explain seasonal variation of soil respiration from agro-ecosystems
• Ali, R. S., Kandeler, E., Marhan, S., Demyan, M. S., Ingwersen, J., Mirzaeitalarposhti, R., Rasche, F., Cadisch, G., Poll, C. (2018)
  Controls on microbially regulated soil organic carbon decomposition at the regional scale
• Ingwersen, J., Högy, P., Wizemann, H.D., Warrach-Sagi, K., Streck, T. (2018)
  Coupling the land surface model Noah-MP with the generic crop growth model Gecros: Model description, calibration and validation
• Baroni, G., Scheiffele, L. M., Schrön, M., Ingwersen, J., Oswald, S. E. (2018)
  Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing
• Imukova, K., Ingwersen, J., Hevart, M., Streck, T. (2016)
  Energy balance closure on a winter wheat stand: comparing the eddy covariance technique with the soil water balance method
• Parker, P., Ingwersen, J., Högy, P., Priesack, E., Aurbacher, J. (2016)
  Simulating regional climate-adaptive field cropping with fuzzy logic management rules and genetic advance
• Demyan, M.S., Ingwersen, J., Nkwain Funkuin, Y., Ali, R.S., Mirzaeitalarposhti, R., Rasche, F., Poll, C., Müller, T., Streck, T., Kandeler, E., Cadisch, G. (2016)
  Partitioning of ecosystem respiration in winter wheat and silage maize—modeling seasonal temperature effects
• Milovac, J., Warrach-Sagi, K., Behrendt, A., Späth, F., Ingwersen, J., Wulfmeyer, V. (2016)
  Investigation of PBL schemes combining the WRF model simulations with scanning water vapor differential absorption lidar measurements
• Poltoradnev, M., Ingwersen, J., Streck, T. (2016)
  Spatial and temporal variability of soil water content in two regions of Southwest Germany during a three-year observation period
• Wizemann, H.-D., Ingwersen, J., Högy, P., Warrach-Sagi, K., Streck, T., Wulfmeyer, V. (2015)
  Three year observations of water vapor and energy fluxes over agricultural crops in two regional climates of Southwest Germany
• Martre, P., Wallach, D., Asseng, S. et al. (2015)
  Multimodel ensembles of wheat growth: Many models are better than one
• Parker, P., Reinmuth, E., Ingwersen, J., Högy, P., Priesack, E., Wizemann, H.-D., Aurbacher, J. (2015)
  Simulation-based projections of crop management and gross margin variance in contrasting regions of Southwest Germany
• Ingwersen, J., Steffens, K., Högy, P., Warrach-Sagi, K., Wizemann, H.-D., Zhunusbayeva, D., Poltoradnev, M., Gäbler, R., Fangmeier, A., Wulfmeyer, V., Streck, T. (2011)
  Comparison of Noah simulations with Eddy covariance and soil water measurements at a winter wheat stand

Status: abgeschlossen

Projektbeginn: 01.01.2017
Projektende: 30.9.2021

Beschreibung

Diffuse pollution of soils, surface waters, and ground-water by a multitude of anthropogenic organic and inorganic compounds is a growing global concern. Despite decades of pollutant research, serious knowledge gaps exist concerning the fate and behavior of these pollutants on the landscape scale and their impact on water quality, ecology, and human health. In eight collaborative projects the project intends to close the gap between relevant processes identified in the laboratory and mechanisms of mass transfer and metabolic trans-formations on the landscape scale.

Beteiligte Personen

• Prof. Dr. rer. nat. Thilo Streck

Beteiligte Einrichtungen

• Auswirkungen von Trockenstress
• Bioökonomische Modellierung
• Fg. Biogeophysik
• Fg. Bodenbiologie
• Institut für Bodenkunde und Standortslehre
• Klimaanpassung
• Klimaschutz
• Land-Atmosphäre-Rückkopplungen

• Universität Tübingen
• Universität Stuttgart
• Helmholtz Zentrum für Umweltforschung Leipzig (UFZ)
• Helmholtz Zentrum für Gesundheit und Umwelt München (HMGU)

Status: current

Project begin: 01.01.2017
Project end : 31.12.2020

Project-Homepage : https://www.uni-tuebingen.de/forschung/forschungsschwerpunkte/sonderforschungsbereiche/sfb-1253/projects/p6-soils.html

Involved persons

• M.Sc. Luciana Chavez Rodriguez
• Dr. Holger Pagel
• Dr. agr. Christian Poll
• Prof. Dr. rer. nat. Thilo Streck
• Prof. Dr. Ellen Kandeler
• M.Sc. Johannes Wirsching

• Prof. Dr. Peter Grathwohl, Universität Tübingen

Involved institutions

• Biogeophysics
• Soil Biology
• Institute of Soil Science and Land Evaluation

• Universitäten Tübingen, Stuttgart, Helmholtz-Zentrum München, UFZ Leipzig u.v.m.

Status:  current

Project begin: 01.01.2017
Project end: 31.12.2020

Project-Homepage : https://www.uni-tuebingen.de/forschung/forschungsschwerpunkte/sonderforschungsbereiche/sfb-1253/projects/p7-stochastic-modeling-framework.html

Involved persons

• Dr. rer. nat. Tobias K.D. Weber
• Prof. Dr. rer. nat. Thilo Streck

• Prof. Dr. Olaf Cirpka, Tübingen
• Prof. Dr. Wolfgang Nowak, Stuttgart

Involved persons

• Biogeophysics
• Institute of Soil Science and Land Evaluation
  

• University of Tübingen
• University of Stuttgart

Status:  current

Project begin: 01.01.2017
Project end: 31.12.2020

Project-Homepage: https://www.uni-tuebingen.de/forschung/forschungsschwerpunkte/sonderforschungsbereiche/sfb-1253/projects/s2-basic-modeling-and-data-services.html

Involved persons

•  Prof. Dr. rer. nat. Thilo Streck

• Prof. Dr. Olaf Cirpka, Dr. Michael Finkel, Tübingen

Involved institutions

• Biogeophysics
• Institute of Soil Science and Land Evaluation

• University of Tübingen

Status: laufend

Projektbeginn: 01.09.2016
Projektende: 31.12.2020

Förderkennzeichen: 57316245

Projekt-Homepage: https://fsc.uni-hohenheim.de/en/projectclifood

Schlagworte: climate impacts, crop model, maize, model structural errors, multi-model simulation, predictive uncertainty, sorghum, wheat, yield prediction

Beschreibung

Crop models are the most common tools for assessing the threat of climate change to local and re­gional crop productivity. However, numerous studies have shown that models used to predict crop yields are highly uncertain when predicting how crops respond to changes in temperature, annual precipitation amounts and distribution, and increasing carbon dioxide concentrations. It was also shown that simulations differ across crop models and that a significant proportion of the uncertainty in climate change impact projections is due to differences in the structure of these models. Hence, applications of multi-model ensembles have been suggested to reduce uncertainty in simulation of crop response to future climate.

The aim of this project is to reduce uncertainty in predictions of climate change impacts on productivity of wheat, maize and sorghum in Ethiopia. The agro-ecosystem simulation tool box Expert-N is used to setup a multi-model ensem­ble composed of four different crop growth models combined with different water regime and nitrogen turnover models. The single ensemble members are run for different locations in Ethiopia taking into account the country-specific management strategies and climate inputs. Simulation results are tested against recent and historic yield data. Uncertainties in model predictions due to the dif­ferent model structures are quantified. Bayesian techniques are applied to calculate model weights accounting for the predictive power of each model combination. Only models with relevant predictive power (relevant weights) will finally be used for predicting crop productivity in Ethiopia during the next 20-30 years resulting in more reliable estimations of future yields, which may aid developing practicable mitigation strategies.

This subproject is part of the CLIFOOD project which is part of the Food Security Center.

Beteiligte Personen

• Dr. rer. nat. Sebastian Gayler
• M.Sc. Fasil Mequanint Rettie
• Prof. Dr. rer. nat. Thilo Streck

Beteiligte Einrichtungen

• Fg. Biogeophysik
• Food Security Center (FSC)
• Institut für Bodenkunde und Standortslehre

Förderer

• Supported by the DAAD program Bilateral SDG Graduate Schools
• funded by the Federal Ministry for Economic Cooperation and Development (BMZ)

Status: laufend

Projektbeginn: 01.01.2017
Projektende: 31.12.2020

Projekt-Homepage: https://lafo.uni-hohenheim.de

Beteiligte Personen

• Dr. rer. nat. Florian Späth
• Prof. Dr. rer. nat. Volker Wulfmeyer
• Prof. Dr. rer. nat. Thilo Streck
• Dr. rer. nat. Andrea Riede
• Dr. rer. nat. Shravan Muppa
• Prof. Dr. Joachim Müller
• M.Sc. Simon Metzendorf
• Dr. rer. nat. Diego Lange
• Alicia Kolmans
• Prof. Dr. agr. Simone Graeff-Hönninger
• Prof. Dr. rer. nat. Andreas Fangmeier
• Prof. Dr. Wilhelm Claupein
• Carolin Callenius
• Dr. rer. nat. Andreas Behrendt
• apl. Prof. Dr. rer. nat. Tobias Würschum

Beteiligte Einrichtungen

• Arbeitsgruppe Anbausysteme und Modellierung
• Land-Atmosphäre-Rückkopplungen
• Klimaschutz
• Institut für Physik und Meteorologie
• Forschungszentrum für Globale Ernährungssicherung und Ökosysteme
• Fg. Pflanzenökologie und Ökotoxikologie
• Fg. Biogeophysik
• Fg. Allgemeiner Pflanzenbau
• Fg. Agrartechnik in den Tropen und Subtropen
• Bioökonomische Modellierung
• Auswirkungen von Trockenstress
• Landessaatzuchtanstalt

LOWPESTS | Low-cost observations for water-air-soil of pesticides in Ethiopian soils using time-integrated samplers

Status: laufend

Laufzeit: 2021-2022

PIs

Dr. Holger Pagel
Dr. Alexander Haluska (Uni Tübingen)

Partner

Prof. Dr. Thilo Streck, Dr. Sebastian Gayler, and Mr. Fasil Mequanint (Uni Hohenheim)
Dr. Wolf-Anno Bischoff, Mr. Andreas Schwarz (TerrAquat GmbH)
Prof. Dr. Carolin Huhn (Uni Tübingen)
Dr. Ana González-Nicolás (University of Stuttgart)
Assistant Prof. Dr. Sintayehu Mersha, (Hawassa University, Ethiopia, CLIFOOD Graduate School)

Fast-start funding for joint projects on topics related to Africa by the Universities of Hohenheim and Tübingen

The leaching and volatilization of pesticides from Ethiopian agricultural soils pose a long-term risk to drinking water resources and public health. Several diffusive passive samplers have been developed over the years that could be used for long-term monitoring of pesticides in soils and groundwater. However, these samplers rely on the use of highly specialized sorbents and sophisticated analytical equipment (e.g., LC-MS/MS). The goal of this project is to develop an affordable, time-integrated, passive sampling method using local materials that are easily available in Ethiopia and simplified analytical techniques to quantify pesticides in agricultural soils. Time-integrated pesticide leaching losses will be studied for site-specific parameterization of models for predicting the release of contaminants from soils and the risk they pose to human health.

Status: current

Project begin: 01.06.2017
Project end: 31.05.2020

Sponsor mark: DFG HO4536/4

Sponsor mark: http://www.biologie.uni-konstanz.de/uphys-HilmarHofmann/?page_id=399

Involved persons

• Dr. rer. nat. Joachim Ingwersen
• Prof. Dr. rer. nat. Thilo Streck

• Dr. Hilmar Hofmann, Uni Konstanz
• Prof. Dr. Jens Greinert (Uni Kiel, GEOMAR)
• Prof. Dr. Frank Peeters, Prof. Dr. Bernhard Schink (Uni Konstanz)
• Dr. Thomas Wolf, Dr. Martin Wessels (Inst. Seenforschung, LUBW) u.a.

Involved institutions

• Biogeophysics
• Institute of Soil Science and Land Evaluation
• University of Hohenheim

• University of Konstanz, Kiel, LUBW

Status: current

Project begin: 01.02.2015
Project end: 31.01.2019

Description

Soil functions control ecosystem services and perils such as the emission of greenhouse gases and accumulation or leaching of pesticides. The microbial regulation of important storage, filter and buffer functions of soils is not fully understood. In the experimental part of this project we will combine stable isotope with molecular methods (metagenomics, proteomics) and develop them further to gain information about the structure of microbial communities in soil and their functions. These data will be used to simulate biological, chemical and physical processes on various scales. Complex bottom-up models, which will explicitly account for the dynamics of enzymes, microbial communities and related transformation processes, will be parameterized with molecular biological and physicochemical data. With these simulations, we want to elucidate which small-scale regulation mechanisms may be effective on plot and field scale and how much complexity is necessary to simulate soil functions. Model-based predictions will be complemented and experimentally tested on plot and field scale.

Involved persons

• Prof. Dr. rer. nat. Thilo Rennert
• Jun.-Prof. Dr. rer. nat. Amélia Camarinha Silva
• Prof. Dr. Jana Seifert
• Prof. Dr. rer. nat. Thilo Streck
• Prof. Dr. Ellen Kandeler
• Dr. Holger Pagel
• Prof. Dr. Philipp Kügler
• Dipl.-Biol. Marie Uksa

Involved institutions

• Biogeophysics
• Soil Biology
  
• Soil Chemistry and Pedology
  
• Institute of Applied Mathematics and Statistics
  
• Institute of Soil Science and Land Evaluation
  
• Institute of Animal Science
  

information coming soon

RTG 1829 “Integrated Hydrosystem Modelling” Reactive-Transport Models of Nitrogen Cycling Informed by Molecular-Biological Data

Status: laufend

Laufzeit: 2018-2024

PIs

Holger Pagel, Olaf Cirpka, Adrian Mellage (Uni Tübingen), Philippe van Capellen (University of Waterloo)

PhD student

Anna Störiko

DFG: https://www.hydromod.uni-tuebingen.de/

Molecular biological data can provide quantitative information about organisms related to a specific reaction. Functional genes code for enzymes responsible for a certain reaction step for example in denitrification. Their concentrations can be seen as a proxy for the abundance of organisms with that function. More and more molecular biological data are collected in the field. However, we can currently not use it in a quantitative manner in reactive transport models since the models do not simulate these quantities. In this project reactive transport models for the nitrogen cycle which can be informed by molecular biological data are developed.

SimLearn: Completing Training Data by Iteratively Learning Simulation

Status: laufend

Laufzeit: 01.01.2020 - 31.12.2022

Coordinator

Dr. Angar Bernardi, German Research Center for Artificial Intelligence (DFKI), Kaiserlautern www.dfki.de/en/web/about-us/locations-contact/kaiserslautern

PI

Prof. Dr. Thilo Streck

Involved

Dr. Sebastian Gayler

Investigator

Dr. Rajiv Srivastava

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies in complex situations with many parameters and in providing classification, prediction and decision support with the models learned. In practice, however, the large amounts of correctly labeled training data required for such approaches are often not available.

Based on actual application examples from the agricultural sector, SimLearn examines the suitability of a new approach in which existing operative knowledge codified in simulation models is combined iteratively with the increasing insights of learned models: Extensive synthetic training data sets are generated by existing simulation models. A learning system initiated on such data will then be extended and improved by empirical data collected of actual farms. This combination fills gaps in the existing database and enables improved training. The result is a learned, more powerful model of the observed reality with improved usage potentials.

SimLearn exemplary considers the operational decisions in crop production on operational and tactical level with regard to income and environmental effects. The bioeconomic modeling system MPMAS_XN of Hohenheim University (UHOH) allows initial simulations of the effects of fertilization and cultivation decisions both from a biological (plant growth) and an economic (expected revenue) point of view. This information is combined and compared with the results of cooperating experimental farms and with standard and average values from the databases of the Kuratorium für Technologie und Bauwesen in der Landwirtschaft (KTBL). Using those generated data collections, DFKI iteratively trains a suitable learning system which enables an improved prediction and assessment of alternative courses of action.

landuse-economics.uni-hohenheim.de/en/projekt-simlearn

Status: completed

Runtime: 15.12.2015 - 15.12.2017

Funding code: LUBW Nr. 4500439542/23

Involved Persons

• Dr. rer. nat. Sebastian Gayler
• Prof. Dr. Torsten Müller
• Prof. Dr. Hans-Peter Piepho
• Dr. Reiner Ruser
• Prof. Dr. rer. nat. Thilo Streck

Participating Institutions

• Fg. Biogeophysik
• Fg. Biostatistik
• Fg. Düngung und Bodenstoffhaushalt
• Institut für Bodenkunde und Standortslehre
• Institut für Kulturpflanzenwissenschaften

• regioplus, Mainz; Freie Bodenkundler, Stuttgart; HfWU Nürtingen

WatDEMAND: Multisectoral water demand scenarios for Germany and estimation of future regions with increasing water scarcity

Status: running

Run time: 1.12.2021 - 31.3.2023

In cooperation with IWW Zentrum Wasser

iww-online.de

Funded by

Deutscher Verein des Gas- und Wasserfaches e.V., Bonn

www.dvgw.de

Coordinator

Dr. Tim aus der Beek

IWW – Rheinisch-Westfälisches Institut für Wasserforschung gGmbH, Mülheim

PIs

Dr. Tobias Weber

Prof. Dr. Thilo Streck

Investigator

Dr. Tobias Weber

The last decade and especially the dry and hot years 2018 to 2020 have shown that the German water supply may well reach regional-temporal bottleneck situations. Since climate change projections indicate that the climatic conditions could become even more severe in the near and distant future, it is to be investigated how water supply and demand could develop in the future. In the DVGW research program "Future Water", this is being investigated by means of two intersecting research projects. One of these is WatDEMAND.

On the one hand, the project is to forecast the multi-sectoral water demand of households, industry and agriculture spatially resolved for Germany until the year 2100. On the other hand, the resulting results will be spatially and temporally intersected with changes in water supply in the sense of initial analyses in order to identify hot-spot regions that could experience increased water shortage situations in the future. In subordinate research projects, the analysis of this evaluation will be deepened and, in addition, it will be investigated for the hot-spot regions which measures, such as adaptation of the infrastructure, creation of cross-connections and increase of the resilience, can reduce the bottlenecks.