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ScienceDaily: Earth & Climate News |
| Producing ammonia through electrochemical processes could reduce carbon dioxide emissions Posted: 08 Apr 2022 11:30 AM PDT Ammonia is commonly used in fertilizer because it has the highest nitrogen content of commercial fertilizers, making it essential for crop production. However, two carbon dioxide molecules are made for every molecule of ammonia produced, contributing to excess carbon dioxide in the atmosphere. |
| Dynamic rivers contributed to Amazon's rich bird diversity Posted: 08 Apr 2022 11:29 AM PDT One of the most contentious questions in evolutionary biology is, how did the Amazon become so rich in species? A new study focused on birds examines how the movements of rivers in the Amazon have contributed to that area's exceptional biological diversity. The researchers found that as small river systems change over time, they spur the evolution of new species. The findings also reveal previously unknown bird species in the Amazon that are only found in small areas next to these dynamic river systems, putting them at high risk. |
| What shapes gut microbiomes of Alaska's brown bears? Location, location, location Posted: 08 Apr 2022 11:29 AM PDT A recent study of Alaskan brown bears (Ursus arctos) finds that there is significant variation in the gut microbiome of bear populations, depending on where the bears live. The finding advances our understanding of the relationship between wildlife habitat, diet and gut microbiome diversity. |
| Air pollution responsible for 180,000 excess deaths in tropical cities Posted: 08 Apr 2022 11:29 AM PDT Around 180,000 avoidable deaths over 14 years in fast-growing tropical cities were caused by a rapid rise in emerging air pollution, a study has revealed. |
| Better, faster, energy efficient predictions Posted: 08 Apr 2022 07:31 AM PDT Researchers have combined reinforcement learning with numerical methods to compute turbulent flows, one of the most complex processes in engineering. The researchers also used machine learning algorithms to accelerate predictions in simulations of complex processes that take place over long periods of time. |
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