Ziel des Projektes ist eine Bestandsaufnahme der Wassermassenverteilung und der Zirkulation im Arktischen Ozean. Stabile Sauerstoffisotopen (delta18O) des Wassers ist ein konservativer Tracer und werden zusammen mit hydrochemischen Daten dazu verwendet das vom Schelf stammende Süßwasser (Flusswasser und Meereis-Schmelze oder Bildung) und die aus dem Pazifik stammende Komponente zu untersuchen. Auf diese Weise wird der Einfluss dieser Wassermassen in der arktischen Salzgehaltsschichtung (Halokline), dem Atlantischen Zwischenwasser und dem Tiefen- und Bodenwasser des Arktischen Ozeans quantifiziert werden. Es ist bekannt, dass die Verteilung der Pazifischen Komponente starken Veränderungen auf dekadischen Zeitskalen unterliegt aber auch in den Süßwasserverteilungen im Transpolaren Drift Strom wurden 2007 starke Variationen beobachtet welche somit auf zusätzliche jährliche Variationen hinweisen. Es ist nicht bekannt ob die 2007 beobachteten Variationen ein permanentes Phänomen sind und ob diese mit dem weitgehenden Fehlen des Pazifischen Wassers in diesem Zeitraum zusammenhängen. Die geplante flächendeckende und quantitative Erfassung der Süßwasserverteilung und des Pazifischen Wassers werden daher dazu beitragen, den Einfluss und die möglichen Rückkopplungsmechanismen der arktischen Hydrographie auf den arktischen und globalen Klimawandel weitergehend zu verstehen.
Die Bildung der Eis Phase in der Troposphäre stellt einen wichtigen Fokus der aktuellen Atmosphärenforschung dar. Durch heterogene Nukleation entstehen bei Temperaturen oberhalb von -37°C primäre Eiskristalle an sogenannten eiskeimbildenden Partikeln (INP, engl, ice nucleating particles). Die räumliche Verteilung der INP und deren Quellen variieren stark. In der Atmosphäre finden sich INP nur in sehr geringer Anzahlkonzentration, oft weniger als ein Partikel pro Liter, und sie stellen nur eine kleine Untergruppe des gesamten atmosphärischen Aerosols dar. Ziel dieses Antrages ist es die Anzahlkonzentrationen von eiskeimbildenden Partikeln und deren Variabilität in der Atmosphäre zu messen. Außerdem sind Laborstudien geplant, in denen unser Verständnis über die chemischen und biologischen Eigenschaften der Partikel, die die Eisbildung initiieren, verbessert werden soll. Mit dem von unserer Arbeitsgruppe entwickelten Eiskeimzahler FINCH (Fast Ice Nucleaus CHamber) sollen die atmosphärischen Anzahlkonzentrationen von INP bei verschiedenen Gefriertemperaturen und Übersättigungen an mehreren Standorten gemessen werden. Die Kopplung von FINCH mit einem virtuellen Gegenstromimpaktor (CVI, engl, counter-flow virtual impactor, Kooperation mit RP2), die während lNUIT-1 entwickelt und getestet wurde, soll nun weiter charakterisiert und Messungen damit fortgesetzt werden. Bei dieser Methode werden die Eispartikel, die in FINCH gebildet werden, von den unterkühlten Tröpfchen und inaktivierten Partikeln separiert und mit weiteren Messmethoden untersucht. In Kooperation mit RP2 und RP8 planen wir hierbei die Charakterisierung der INP mittels Größen- und Aerosolmassenspektrometer sowie die Sammlung der INP auf Filtern oder Impaktorplatten zur anschließenden Analyse mit einem Elektronenmikroskop (ESEM, engl. DFG fomi 54.011 -04/14 page 3 of 6 Environmental Scanning Electron Microscopy). Die Feldmessdaten werden von umfangreichen Laborstudien an den Forschungseinrichtungen AIDA (RP6) und LACIS (RP7) ergänzt. Dort soll das Immersionsgefrieren von verschiedenen Testpartikeln aus biologischem Material (z.B. Zellulose), porösem Material (z.B. Zeolith) und Mineralstaub mit geringem organischem Anteil im Detail untersucht werden. Des Weiteren planen wir Labormessungen, bei denen eine verbesserte Charakterisierung der Messunsicherheiten von FINCH erarbeitet werden soll. Außerdem werden regelmäßige Tests und Kalibrierungen mit FINCH durchgeführt, für die Standardroutinen festgelegt werden sollen. Um die Rolle der INP bei der Wolken- und Niederschlagsbildung sowie bei den Wolkeneigenschaften abzuschätzen, werden die gewonnenen Messergebnisse am Ende als Eingabeparameter für erweiterte Wolkenmodelle (Kooperation mit WP-M) dienen.
We are currently facing the urgent need to improve our understanding of carbon cycling in subsoils, because the organic carbon pool below 30 cm depth is considerably larger than that in the topsoil and a substantial part of the subsoil C pool appears to be much less recalcitrant than expected over the last decades. Therefore, small changes in environmental conditions could change not only carbon cycling in topsoils, but also in subsoils. While organic matter stabilization mechanisms and factors controlling its turnover are well understood in topsoils, the underlying mechanisms are not valid in subsoils due to depth dependent differences regarding (1) amounts and composition of C-pools and C-inputs, (2) aeration, moisture and temperature regimes, (3) relevance of specific soil organic carbon (SOC) stabilisation mechanisms and (4) spatial heterogeneity of physico-chemical and biological parameters. Due to very low C concentrations and high spatio-temporal variability of properties and processes, the investigation of subsoil phenomena and processes poses major methodological, instrumental and analytical challenges. This project will face these challenges with a transdisciplinary team of soil scientists applying innovative approaches and considering the magnitude, chemical and isotopic composition and 14C-content of all relevant C-flux components and C-fractions. Taking also the spatial and temporal variability into account, will allow us to understand the four-dimensional changes of C-cycling in this environment. The nine closely interlinked subprojects coordinated by the central project will combine field C-flux measurements with detailed analyses of subsoil properties and in-situ experiments at a central field site on a sandy soil near Hannover. The field measurements are supplemented by laboratory studies for the determination of factors controlling C stabilization and C turnover. Ultimately, the results generated by the subprojects and the data synthesized in the coordinating project will greatly enhance our knowledge and conceptual understanding of the processes and controlling factors of subsoil carbon turnover as a prerequisite for numerical modelling of C-dynamics in subsoils.
The formation of biogeochemical interfaces in soils is controlled, among other factors, by the type of particle surfaces present and the assemblage of organic matter and mineral particles. Therefore, the formation and maturation of interfaces is studied with artificial soils which are produced in long-term biogeochemical laboratory incubation experiments (3, 6, 12, 18 months. Clay minerals, iron oxides and charcoal are used as major model components controlling the formation of interfaces because they exhibit high surface area and microporosity. Soil interface characteristics have been analyzed by several groups involved in the priority program for formation of organo-mineral interfaces, sorptive and thermal interface properties, microbial community structure and function. Already after 6 months of incubation, the artificial soils exhibited different properties in relation to their composition. A unique dataset evolves on the development and the dynamics of interfaces in soil in the different projects contributing to this experiment. An integrated analysis based on a conceptual model and multivariate statistics will help to understand overall processes leading to the biogeochemical properties of interfaces in soil, that are the basis for their functions in ecosystems. Therefore, we propose to establish an integrative project for the evaluation of data obtained and for publication of synergistic work, which will bring the results to a higher level of understanding.
Water, carbon and nitrogen are key elements in all ecosystem turnover processes and they are related to a variety of environmental problems, including eutrophication, greenhouse gas emissions or carbon sequestration. An in-depth knowledge of the interaction of water, carbon and nitrogen on the landscape scale is required to improve land use and management while at the same time mitigating environmental impact. This is even more important under the light of future climate and land use changes.In the frame of the proposal 'Uncertainty of predicted hydro-biogeochemical fluxes and trace gas emissions on the landscape scale under climate and land use change' we advocate the development of fully coupled, process-oriented models that explicitly simulate the dynamic interaction of water, carbon and nitrogen turnover processes on the landscape scale. We will use the Catchment Modelling Framework CMF, a modular toolbox to implement and test hypothesis of hydrologic behaviour and couple this to the biogeochemical LandscapeDNDC model, a process-based dynamic model for the simulation of greenhouse gas emissions from soils and their associated turnover processes.Due to the intrinsic complexity of the models in use, the predictive uncertainty of the coupled models is unknown. This predictive (global) uncertainty is composed of stochastic and structural components. Stochastic uncertainty results from errors in parameter estimation, poorly known initial states of the model, mismatching boundary conditions or inaccuracies in model input and validation data. Structural uncertainty is related to the flawed or simplified description of natural processes in a model.The objective of this proposal is therefore to quantify the global uncertainty of the coupled hydro-biogeochemical models and investigate the uncertainty chain from parameter uncertainty over forcing data uncertainty up the structural model uncertainty be setting up different combinations of CMF and LandscapeDNDC. A comprehensive work program has been developed structured in 4 work packages, that consist of (1) model set up, calibration and uncertainty assessment on site scale followed by (2) an application and uncertainty assessment of the coupled model structures on regional scale, (3) global change scenario analyses and finally (4) evaluating model results in an ensemble fashion.Last but not least, a further motivation of this proposal is to provide project results in a manner that they support planning and decision taking under uncertainty, as this proposal is part of the package proposal on 'Methodologies for dealing with uncertainties in landscape planning and related modelling'.
Dieser Darstellungsdienst (WMS) stellt Daten zum INSPIRE-Thema Schutzgebiete in der Freien Hansestadt Bremen (FHB) dar. Der Dienst umfasst die Einzeldenkmäler, die Ensembles und die Bestandteile in Ensembles. - Dieser Dienst ist in der Bearbeitung und zurzeit nicht funktionstüchtig. -
Bestandteile in Ensembles. Unterschutzstellung als Teil von Mehrheiten unbeweglicher Sachen, die aufgrund eines übergeordneten Bezugs Kulturdenkmäler sind, ohne dass jeder einzelne Bestandteil die Voraussetzungen des Satzes 1 erfüllen muss (Ensembles), wie Orts-, und Platzgefüge, Siedlungen oder Straßenzüge (§ 2 Absatz 2 Nr. 2 DSchG).
Ziel: The objective of our project is to investigate the impact of different natural and anthropogenic environmental and climatic parameters (CO2, ozone, UV-B, drought, nanoparticles, soil and airborne pollutants) on the potentiality for increases of allergenic components in Ragweed pollen. Methode: Acquisition of the complete transcriptome/proteome under constant and the different climatic parameters listed above will be carried out. In addition secondary metabolite analyses and electron microscopy will be performed. In addition secondary metabolite analyses and electron microscopy will be performed.
Water is an intrinsic component of ecosystems acting as a key agent of lateral transport for particulate and dissolved nutrients, forcing energy transfers, triggering erosion, and driving biodiversity patterns. Given the drastic impact of land use and climate change on any of these components and the vulnerability of Ecuadorian ecosystems with regard to this global change, indicators are required that not merely describe the structural condition of ecosystems, but rather capture the functional relations and processes. This project aims at investigating a set of such functional indicators from the fields of hydrology and biogeochemistry. In particular we will investigate (1) flow regime and timing, (2) nutrient cycling and flux rates, and (3) sediment fluxes as likely indicators. For assessing flow regime and timing we will concentrate on studying stable water isotopes to estimate mean transit time distributions that are likely to be impacted by changes in rainfall patterns and land use. Hysteresis loops of nitrate concentrations and calculated flux rates will be used as functional indicators for nutrient fluxes, most likely to be altered by changes in temperature as well as by land use and management. Finally, sediment fluxes will be measured to indicate surface runoff contribution to total discharge, mainly influenced by intensity of rainfall as well as land use. Monitoring of (1) will be based on intensive sampling campaigns of stable water isotopes in stream water and precipitation, while for (2) and (3) we plan to install automatic, high temporal-resolution field analytical instruments. Based on the data obtained by this intensive, bust cost effective monitoring, we will develop the functional indicators. This also provides a solid database for process-based model development. Models that are able to simulate these indicators are needed to enable projections into the future and to investigate the resilience of Ecuadorian landscape to global change. For the intended model set up we will couple the Catchment Modeling Framework, the biogeochemical LandscapeDNDC model and semi-empirical models for aquatic diversity. Global change scenarios will then be analyzed to capture the likely reaction of functional indicators. Finally, we will contribute to the written guidelines for developing a comprehensive monitoring program for biodiversity and ecosystem functions. Right from the beginning we will cooperate with four SENESCYT companion projects and three local non-university partners to ensure that the developed monitoring program will be appreciated by locals and stakeholders. Monitoring and modelling will focus on all three research areas in the Páramo (Cajas National Park), the dry forest (Reserva Laipuna) and the tropical montane cloud forest (Reserva Biologica San Francisco).
Subproject 3 will investigate the effect of shifting from continuously flooded rice cropping to crop rotation (including non-flooded systems) and diversified crops on the soil fauna communities and associated ecosystem functions. In both flooded and non-flooded systems, functional groups with a major impact on soil functions will be identified and their response to changing management regimes as well as their re-colonization capability after crop rotation will be quantified. Soil functions corresponding to specific functional groups, i.e. biogenic structural damage of the puddle layer, water loss and nutrient leaching, will be determined by correlating soil fauna data with soil service data of SP4, SP5 and SP7 and with data collected within this subproject (SP3). In addition to the field data acquired directly at the IRRI, microcosm experiments covering the broader range of environmental conditions expected under future climate conditions will be set up to determine the compositional and functional robustness of major components of the local soil fauna. Food webs will be modeled based on the soil animal data available to gain a thorough understanding of i) the factors shaping biological communities in rice cropping systems, and ii) C- and N-flow mediated by soil communities in rice fields. Advanced statistical modeling for quantification of species - environment relationships integrating all data subsets will specify the impact of crop diversification in rice agro-ecosystems on soil biota and on the related ecosystem services.
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