Phase II (2019-'21) |
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II P1: FIRE Induced Element Cycling II P2: Nutrient cycling & vegetation II P3: Microorganisms & soil structure II P4: Linking bioturbation with fluxes II P5: Erosion-Climate-Vegetation coupling (SECCO) II P6: Bio-Geomorphology II P7: Biota, fracture, thresholds II P8: Stress constrained landscape modeling II P9: Bridging timescales with modeling II P10: Landscape evolution from Thermochronology II P11: DeepES - Weathering Geochemistry II P12: DeepES - Microbial element cycling II P13: DeepES - Geophysical Imaging II P14: DeepES - Microbial activity II P15: DeepES - Geomicrobiology II A1: Plant available water storage II A2: Bioweath |
Phase I (2016-'18) |
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I P1: Plant Traits and Decomposition I P2: Coupled Modelling I P3: Biofilms & Weathering I P4: Sediment storage & Connectivity I P5: Crustweathering I P6: Root Carbon I P7: Paleoclimate I P8: Imaging of Weathering front I P9: Sediment Transport I P10: Phosphorus solubilization I P11: Green & Grey world I P12: Biogenic Weathering I P13: Microbiological Stabilization I A3: Carbon & Nutrient Fluxes |
Investigator Names and Contact Info:
Chilean Collaborators Involved:
Postdoc Project 5c:
Supervisor: Prof. Peter Leinweber, Co-supervisor: Prof. Ulf Karsten
Postdoc Project 5d:
Postdoc:
since 2019 Professor at LM Uni Munich, Germany
PhD project 5a:
Supervisor: Prof. Ulf Karsten, Co-supervisor: Prof. Burkhard Büdel
PhD Project 5b:
Supervisor: Prof. Burkhard Büdel, Co-supervisor: Prof. Jörg Bendix
Supervisor: Prof. Burkhard Büdel
Supervisor: Prof. Jörg Bendix, Co-supervisor: Prof. Burkhard Büdel
Supervisor: Prof. Burkhard Büdel
Supervisor: Prof. Ulf Karsten, Co-supervisor: Dr. Karin Glaser
Supervisor: Dr. Rainer Wirth, Co-supervisor: Prof. Dr. Matthias Hahn
Project Summary:
On a global scale, biological soil crusts (biocrusts) form the most productive microbial biomass in arid regions. Biocrusts are formed by living organisms such as heterotrophic bacteria, fungi, lichens, bryophytes, cyanobacteria and algae and their by-products, creating a top-soil layer of inorganic particles bound together by organic materials. They can be characterized as “ecosystem-engineers” forming water-stable, aggregated surface layers that have important multi-functional ecological roles in primary production, mineralization, bioweathering, dust trapping, and the stabilization of soils, slopes and entire landscapes, thereby affecting the nutrient and hydrological cycles across scales. Intensive literature reviews made us aware that these communities are almost unstudied in South America, although highly abundant in the study areas of the Priority Programme. Therefore, the objectives of this interdisciplinary proposal are to 1) evaluate the almost unknown community structure of Chilean biocrust types using a combination of field and laboratory methods to address the relative abundance of the full spectrum of biocrust organisms, particularly with regard to their role in weathering and landscape forming processes (who is doing what?); 2) disclose which of the abundant organisms contribute by which biochemical processes to bioweathering, and quantify the reaction rates in relation to community structure and environmental conditions; 3) uncover the function of biocrusts in the coupled biogeochemical cycling of P- (particular emphasis!), C- and N-compounds across spatial scales from the atomic/molecular-, the single mineral grain-, biocrust patch- and soil profile- up to the slope/catchment-scale, the latter with the help of remotely sensed spectral data and jointly developed transfer functions; 4) understand how microclimatic conditions and water availability determine the biocrust community structure and activity, coverage and their functioning in the arid ecosystems. 5) Upscaling of 1-4 with remote sensing data to catchments of the PP. The expected results will not only disclose presently unknown biocrust organisms and their physiological and ecological functioning but also enlighten their contribution to bioweathering and fundamental Earth-shaping processes, and provide overall knowledge and data background for regional or global-scale geosystem models.