Use of a dynamic simulation model to understand nitrogen cycling in the middle Rio Grande, NM.

Water quality often limits the potential uses of scarce water resources in semiarid and arid regions. To best manage water quality one must understand the sources and sinks of both solutes and water to the river system. Nutrient concentration patterns can identify source and sink locations, but cannot always determine biotic processes that affect nutrient concentrations. Modeling tools can provide insight into these large-scale processes. To address questions about large-scale nitrogen removal in the Middle Rio Grande, NM, we created a system dynamics nitrate model using an existing integrated surface water--groundwater model of the region to evaluate our conceptual models of uptake and denitrification as potential nitrate removal mechanisms. We modeled denitrification in groundwater as a first-order process dependent only on concentration and used a 5% denitrification rate. Uptake was assumed to be proportional to transpiration and was modeled as a percentage of the evapotranspiration calculated within the model multiplied by the nitrate concentration in the water being transpired. We modeled riparian uptake as 90% and agricultural uptake as 50% of the respective evapotranspiration rates. Using these removal rates, our model results suggest that riparian uptake, agricultural uptake and denitrification in groundwater are all needed to produce the observed nitrate concentrations in the groundwater, conveyance channels, and river as well as the seasonal concentration patterns. The model results indicate that a total of 497 metric tons of nitrate-N are removed from the Middle Rio Grande annually. Where river nitrate concentrations are low and there are no large nitrate sources, nitrate behaves nearly conservatively and riparian and agricultural uptake are the most important removal mechanisms. Downstream of a large wastewater nitrate source, denitrification and agricultural uptake were responsible for approximately 90% of the nitrogen removal

The Baltimore declaration toward the exploration of organoid intelligence

We, the participants of the First Organoid Intelligence Workshop - "Forming an OI Community" (22-24 February 2022), call on the international scientific community to explore the potential of human brain-based organoid cell cultures to advance our understanding of the brain and unleash new forms of biocomputing while recognizing and addressing the associated ethical implications. The term "organoid intelligence" (OI) has been coined to describe this research and development approach (1) in a manner consistent with the term "artificial intelligence" (AI) - used to describe the enablement of computers to perform tasks normally requiring human intelligence. OI has the potential for diverse and far-reaching applications that could benefit humankind and our planet, and which urge the strategic development of OI as a collaborative scientific discipline. OI holds promise to elucidate the physiology of human cognitive functions such as memory and learning. It presents game-changing opportunities in biological and hybrid computing that could overcome significant limitations in silicon-based computing. It offers the prospect of unparalleled advances in interfaces between brains and machines. Finally, OI could allow breakthroughs in modeling and treating dementias and other neurogenerative disorders that cause an immense and growing disease burden globally. Realizing the world-changing potential of OI will require scientific breakthroughs. We need advances in human stem cell technology and bioengineering to recreate brain architectures and to model their potential for pseudo-cognitive capabilities. We need interface breakthroughs to allow us to deliver input signals to organoids, measure output signals, and employ feedback mechanisms to model learning processes. We also need novel machine learning, big data, and AI technologies to allow us to understand brain organoids

Multiwell CO₂ Injectivity: Impact of Boundary Conditions and Brine Extraction on Geologic CO₂ Storage Efficiency and Pressure Buildup

CO₂ storage efficiency is a metric that expresses the portion of the pore space of a subsurface geologic formation that is available to store CO₂. Estimates of storage efficiency for large-scale geologic CO₂ storage depend on a variety of factors including geologic properties and operational design. These factors govern estimates on CO₂ storage resources, the longevity of storage sites, and potential pressure buildup in storage reservoirs. This study employs numerical modeling to quantify CO₂ injection well numbers, well spacing, and storage efficiency as a function of geologic formation properties, open-versus-closed boundary conditions, and injection with or without brine extraction. The set of modeling runs is important as it allows the comparison of controlling factors on CO₂ storage efficiency. Brine extraction in closed domains can result in storage efficiencies that are similar to those of injection in open-boundary domains. Geomechanical constraints on downhole pressure at both injection and extraction wells lower CO₂ storage efficiency as compared to the idealized scenario in which the same volumes of CO₂ and brine are injected and extracted, respectively. Geomechanical constraints should be taken into account to avoid potential damage to the storage site

Models for evaluation of energy technology and policy options to maximize low carbon source penetration in the United States energy supply.

An initial version of a Systems Dynamics (SD) modeling framework was developed for the analysis of a broad range of energy technology and policy questions. The specific question selected to demonstrate this process was 'what would be the carbon and import implications of expanding nuclear electric capacity to provide power for plug in hybrid vehicles?' Fifteen SNL SD energy models were reviewed and the US Energy and Greenhouse gas model (USEGM) and the Global Nuclear Futures model (GEFM) were identified as the basis for an initial modeling framework. A basic U.S. Transportation model was created to model U.S. fleet changes. The results of the rapid adoption scenario result in almost 40% of light duty vehicles being PHEV by 2040 which requires about 37 GWy/y of additional electricity demand, equivalent to about 25 new 1.4 GWe nuclear plants. The adoption rate of PHEVs would likely be the controlling factor in achieving the associated reduction in carbon emissions and imports

CORDAP R&D Technology Roadmap for Understanding the Natural Adaptation and Assisted Evolution of Corals to Climate Change

Experts release a roadmap for harnessing the potential of assisted evolution to help save corals. The IPCC predicts that if warming reaches 2°C, 99% of all coral reefs will be lost in less than 30 years. It is clear that to ensure the future of corals, the highest priority must be reducing global greenhouse gas emissions. However, even with swift and substantial reductions in emissions, corals will continue to face increasing temperatures for the foreseeable future, which can result in extensive coral mortality and local extinction of some coral species. While recent studies have shown that corals may exhibit some degree of adaptation to ocean warming, it is unclear whether corals are able to survive the rate of temperature change during heat waves that will become more frequent under several climate change scenarios. If corals lack what it takes to naturally rapidly adapt to new environmental regimes, they may fail to survive a warming ocean. This is where assisted evolution could be a game-changer. Growing our understanding of the power of adaptation In January 2023, we held a workshop on assisted evolution co-organized with the Australian Institute of Marine Sciences (AIMS) as part of CORDAP’s Scoping Studies (a series of planning sessions and technology roadmap studies to shape our funding priorities). Our aim was to develop a visionary roadmap, offering recommendations on how to prioritise assisted evolution in R&D investment in the future. Assisted evolution is the use of human interventions to speed up the natural evolutionary process. It may allow coral species to adapt faster than they would if left unaided, allowing reefs and corals to keep better pace with the ocean’s environmental changes. The first step in creating this strategy was to pinpoint where we are now in our understanding regarding the potential and impacts of assisted evolution on enhancing coral tolerance to stress conditions like ocean warming. Our experts unanimously agreed that assisted evolution methods cannot be understood and evaluated without a solid foundational understanding of natural adaptation, and identified some knowledge gaps that can be closed with relatively minimal effort and others that will require substantial investment of time and resources. Key Findings: - Standardising methods, experimental designs, species selection guidelines, and terminologies will help to understand natural adaptation and assisted evolution more rapidly. - Long-term funding is critical to facilitate multigenerational studies, which are needed to deliver essential but largely missing information about coral evolution. Building the best pathway for research and investment This roadmap sets out tangible recommendations for future investment and research, to help fill critical knowledge gaps that could assist natural adaptation and evolution of coral reefs in a warming world. Overall, the roadmap recommends investment in a mixed portfolio of R&D, ranging from technologies with lower perceived risks to those with higher percieved risks and longer R&D horizons. This strategy is advised because of the uncertainty around future heating trajectories and thus requirements for enhancement of tolerance. The roadmap outlined four main areas of work that need to be undertaken: 1. Leading global coordination and synthesis. Recommendation: Building global infrastructure to support research would dramatically accelerate the generation of knowledge around the natural and assisted evolution of corals. This could include compiling and committing to a set of standards and methods that will allow more studies to be used in predictive models, as well as establishing a global resource-sharing network and database to facilitate meta-analysis and synthesis. 2. Optimising generation and use of knowledge. Recommendation: Make sure new studies are well designed and timely. Optimize published and future studies by characterizing relationships between heat stress metrics and other facets of coral fitness. Having funding set aside to be able to quickly respond to bleaching events will ensure vital knowledge is captured rather than lost if and when those events occur. 3. Filling critical knowledge gaps in multigenerational coral data in the laboratory and field. Recommendation: Given the slow-growing nature of coral, longer-term funding would allow researchers to gain critical knowledge needed to estimate the multi-generational benefits and risks of implementing assisted evolution methods in the wild. Standardised approaches repeated in different parts of the world would add confidence to generalise those results. 4. Supporting the advance of existing and new technologies. Recommendation: Methods that may yield a larger effect (e.g., gene editing, hybridisation between species, and assisted migration) are also potentially of greater risk and would need considerable R&D. Expanding support for some of the riskier long-term projects currently being overlooked, could potentially offer a greater return on investment, but should be balanced with continued investment in less risky technologies. CORDAP will be using these recommendations to prepare new accelerator program and we believe that they will assist academia in understanding gaps and needs for future research as well as helping to guide funding agencies on where their money will be most effective. The roadmap identifies the funding structures and research priorities that are most likely to yield the knowledge needed to ensure that assisted evolution methods can be implemented effectively. Ultimately, conserving and restoring coral reefs in warming climates will require an inclusive infrastructure involving many partners at a local, national, and international level