ALBERT

Description: This dataset, resulting from Task 4.5 quantifies the potential of ocean-based negative emission technologies (NETs) using Earth System Models (ESMs). The dataset consists of simulations of ocean liming and direct CO2 removal from seawater. The ocean liming scenarios utilize excess CaO and cement production capacities from the EU, China, and the US, exploring their application for ocean alkalinization and gauging termination effects. Simulations ran from 2015-2100 using NorESM2-LM, EC-Earth3-CC, and AWI-CM models. This comprehensive dataset informs on the efficacy of ocean-based NETs and provides insights for future climate mitigation strategies, aligning with the Paris Agreement goals. It facilitates further analysis and supports ongoing research in global carbon cycle feedbacks of ocean-based NETs.

Description: Wissenschaftliche Untersuchungen haben gezeigt, dass einige invasive Arten bzw. Populationen gegenüber Umweltstress robuster sind als nicht invasive Arten bzw. Populationen derselben Art. Es wird vermutet, dass die Toleranz gegenüber abiotischen Stressoren wahrscheinlich eine Schlüsseleigenschaft von invasiven Arten darstellt. Während des Transports von Individuen in einen neuen Lebensraum oder durch Stressereignisse könnten widrige abiotische Bedingungen eine Selektion stresstoleranter Individuen hervorrufen, was die erhöhte Stresstoleranz von invasiven Arten bzw. Populationen erklären könnte. Um dies zu testen, habe ich in einem Laborexperiment ein Transport- bzw. Stressereignis simuliert. In zwei unabhängigen Experimenten habe ich in einer Gruppe von Individuen der Weißbeingarnele Penaeus vannamei durch erhöhte Temperaturen mindestens 50 % Mortalität erzeugt. Hierbei wurden die Individuen in unabhängigen Replikaten für 13 Tage 37°C (Langzeit-Stressexperiment) bzw. für 2 h 41°C (Kurzzeit-Stressexperiment) Wassertemperatur ausgesetzt. Nach dieser ersten Stressphase wurde ein Teil der überlebenden gleichzeitig mit einer gleichen Anzahl an bis dahin nicht vorgestressten Individuen sofort wieder denselben erhöhten Temperaturen ausgesetzt und die Überlebenskurven in beiden Gruppen verglichen. Den übrigen überlebenden der ersten Stressphase wurde vor der zweiten Stressphase eine 13 Tage (Langzeit-Stressexperiment) bzw. 6 Tage (Kurzzeit-Stressexperiment) lange Erholungsphase gewährt, damit etwaige physiologische Anpassungen an Stressbedingungen abklingen konnten. Der Vergleich der Überlebenskurven einer vorgestressten Gruppe, die nach der ersten Stressphase direkt wieder Stressbedingungen ausgesetzt wurde und einer vorgestressten Gruppe, der eine Erholungsphase gewährt wurde, sollte Aufschluss darüber geben, ob eine mögliche erhöhte Stresstoleranz der vorgestressten Gruppen auf eine Selektion stresstoleranter Individuen oder physiologischer Anpassungen an Stressbedingungen zurückzuführen war. In beiden Experimenten zeigten die vorgestressten Gruppen, unabhängig davon, ob ihnen eine Erholungsphase gewährt wurde oder nicht, stets höhere Überlebensraten als die Gruppen, die nicht vorgestresst waren. Meine Ergebnisse legen einerseits nahe, dass es durch Temperaturstress zu einer physiologischen Stressabhärtung und dadurch zu erhöhten Überlebensraten der vorgestressten Individuen kam. Da Literaturdaten darauf hinweisen, dass die Erholungsphasen wahrscheinlich lang genug waren, um die physiologische Stressabhärtung in den vorgestressten Gruppen, denen eine Erholungsphase gewährt wurden, abklingen zu lassen, kann man andererseits annehmen, dass es durch den Temperaturstress bei P. vannamei zu einer Selektion stresstoleranterer Individuen gekommen ist. Dies konnte im Rahmen meiner Diplomarbeit jedoch nicht direkt bewiesen werden.

Description: The distributed, cross-institutional User Support Network (USN) for NFDI4Earth is based on the ex- isting and well embedded user support structures of the participating institutions. The USN serves as a single point of contact for user requests that could not be handled via OneStop4All and require individual consulting. By combining the distributed RDM knowledge of experts in the USN in con- junction with the Knowledge Hub, the NFDI4Earth team will convey the notion (knowledge) of a best practice for dealing with data and how data can be made FAIRer and open. We will present the current status and the conncetion to D.A.M and DataHUB.

Description: We explore a parameterization for mesoscale turbulence, closely related to that of Gent and McWilliams, in which forcing terms proportional to the isopycnal flux of potential vorticity appear in the averaged momentum equations. We show that in the presence of variable bottom topography, the parameterization predicts alongslope mean flow and a corresponding upslope bolus (eddy) flux of tracer that is associated with an alongslope-directed bottom eddy stress. The upslope bolus flux is in qualitative agreement with observations of a cold dome over seamounts. The predicted alongslope flow corresponds to flow fields found in geostrophic turbulence experiments and has some similarity (although conceptually very different, as discussed in the text) to Holloway's prediction based on statistical mechanics. By considering continuous stratification as a limiting case of a multilayer model, we show how to treat the surface and bottom boundaries. Practical application of the parameterization is illustrated using a three-dimensional -coordinate ocean circulation model that is very similar to the Bryan–Cox–Semtner model. The model-computed flow is consistent with observations of anticyclonic flow around a seamount. We show that the bottom eddy stress associated with the parameterization can be large, even compared to the annual mean surface wind stress, and hence could have important implications for the biology and water mass distribution of the coastal ocean as well as for the large-scale ocean circulation. From the climate modelling perspective, the approach adopted here provides a single formalism that combines the advantages of the Gent and McWilliams parameterization with alongslope mean flow similar to that suggested by Holloway.

Description: Highlights • Mercury methylation in sediment rapidly transported into water and diatoms. • CH3Hg flux was highest for sediments with higher sulfide and organic content. • Mineral and compressed sediment released minor Hg and CH3Hg. • Higher sediment Hg species flux does not correlate with high sediment content. • Stable isotope incubations provide substantial insight to environmental Hg cycling. Abstract Mercury (Hg) is a conspicuous and persistent global pollutant. Ionic Hg can be methylated into noxious methylmercury (CH3Hg), which biomagnifies in marine tropic webs and poses a health risk to humans and organisms. Sediment Hg methylation rates are variable, and the output flux of created CH3Hg are dependent on sediment characteristics and environmental factors. Thus, uncertainties remain about the formation and flux of CH3Hg from sediment, and how this could contribute to the bioaccumulative burden for coastal organisms in shallow ecosystems. Cores were collected from 3 estuarine locations along the Eastern USA to examine how sediments characteristics influence the introduction of Hg and CH3Hg into the base of the food chain. Stable isotopes of inorganic 200Hg and CH3199Hg were injected into sediments of individual cores, with cultured diatoms constrained to overlying waters. Five different treatments were done on duplicate cores, spiked with: (1) no Hg isotopes (control); (2) inorganic 200Hg; (3) CH3199Hg; (4) both 200Hg and CH3199Hg isotopes, (5) both 200Hg and CH3199Hg into overlying waters (not sediment). Experimental cores were incubated for 3 days under temperature and light controlled conditions. These results demonstrate that upper sediments characteristics lead to high variability in Hg cycling. Notably, sediments which contained abundant and peaty organic material (∼28 %LOI), had the highest pore water DOC (3206 μM) and displayed bands of sulfur reducing bacteria yielded the greatest methylation rate (1.97 % day−1) and subsequent diatom uptake of CH3200Hg (cell quota 0.18 amol/cell) in the overlying water.