Project Details
Projekt
Rates, causes, and dynamic of long-term landscape evolution of the South Atlantic passive continental margin, Brazil and Namibia, as revealed by thermo-kinematic numerical modeling
Applicant
Professor Dr. Ulrich A. Glasmacher
Subject Area
Palaeontology
Term
from 2013 to 2017
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 243810230
The aim of the project is to quantify the long-term landscape evolution of the South Atlantic passive continental margin (SAPCM) in SE-Brazil and NW-Namibia. Excellent onshore outcrop conditions and complete rift to post-rift archives between Sao Paulo and Porto Alegre and in the transition from Namibia to Angola (onshore Walvis ridge) allow a high precision quantification of exhumation, and uplift rates, influencing physical parameters, long-term acting forces, and process-response systems. The proposed research project will integrate the published thermochronological data from Brazil and Namibia, the new detailed and spatially dense thermochronological data set revealed by the DFG-financed research project and test lately published new concepts on causes of long-term landscape evolution at rifted margins. The climate-continental margin-mantle coupled process-response system is caused by the interaction between endogenous and exogenous forces, which are related to the mantle process driven rift to drift to passive continental margin evolution of the South Atlantic, and the climate change since the Early/Late Cretaceous climate maximum. Special emphasis will be given to the influence of long-living transform faults such as the Florianopolis Fracture Zone (FFZ) on the long-term topography evolution of the SAPCM's. A long-term landscape evolution model with process rates will be achieved by thermokinematic 3 D modeling (software code PECUBE and FastCape). Testing model solutions obtained for a multidimensional parameter space against the real thermochronological and geomorphological data set, the most likely combinations of parameter rates, and values can be constrained. The data and models will allow separating the exogenous and endogenous forces and their process rates.
DFG Programme
Priority Programmes
