Zoom into Soil: Carbon Sequestration

In this webinar: Peter Smith, Professor of Soils & Global Change at the University of Aberdeen, and Dr. Jagadeesh Yeluripati, Senior Scientist at the James Hutton Institute, as they discuss carbon sequestration in soils.
Professor Pete Smith will be speaking on 'global potentials for soil carbon sequestration, co-benefits, drawbacks and the need for good verification'. Pete is Professor of Soils and Global Change at the Institute of Biological and Environmental Sciences at the University of Aberdeen and Science Director of the Scottish Climate Change Centre of Expertise (ClimateXChange). His interests include climate change mitigation, soils, agriculture, food systems, ecosystem services modelling and nature-based solutions. He is a Fellow of the Royal Society of Biology, a Fellow of the Institute of Soil Scientists, a Fellow of the Royal Society of Edinburgh, a Foreign Fellow of the Indian National Science Academy, a Fellow of the European Science Academy, and a Fellow of the Royal Society (London).
Dr. Jagadeesh Yeluripati will be speaking on 'Near-real-time monitoring, reporting, and verification system for low-carbon agriculture: A step towards net-zero.' Jagadeesh is a Senior Scientist at the James Hutton Institute and has a background in environmental science and engineering. He has been conducting interdisciplinary research on impact of climate change on different production systems especially agriculture systems in several countries. His current research interests focus on interactions between terrestrial ecosystems and the global atmosphere, with a focus on soils and their role in global carbon and nitrogen cycling, to understand how the ecology of ecosystems may be shifting in response to global climate change.
The British Society of Soil Science is an established international membership organisation and charity committed to the study of soil in its widest aspects. soils.org.uk/

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Can we use Biochar to improve efficiency of Soil Organic Carbon, and measure such increase in the Model, on real-time Basis.