Person: Skalsky, R.
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Skalsky
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R.
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Skalsky, R.
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0000-0002-0983-6897 2 results
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- AgroTutor: a mobile phone application supporting sustainable agricultural intensification(MDPI, 2020) Laso Bayas, J.C.; Gardeazabal, A.; Karner, M.; Folberth, C.; Vargas Rojas, L.; Skalsky, R.; Balkovic, J.; Subash, A.; Saad, M.; Delerce, S.; Crespo Cuaresma, J.; Hlouskova, J.; Molina-Maturano, J.; See, L.; Fritz, S.; Obersteiner, M.; Govaerts, B.
Publication - Quantifying carbon for agricultural soil management: from the current status toward a global soil information system(Taylor & Francis, 2019) Paustian, K.; Collier, S.; Baldock, J.; Burgess, R.; Creque, J.; DeLonge, M.; Dungait, J.; Ellert, B.; Frank, S.; Goddard, T.; Govaerts, B.; Grundy, M.; Henning, M.; Izaurralde, R.C.; Madaras, M.; McConkey, B.; Porzig, E.; Rice, C.; Searle, R.; Seavy, N.; Skalsky, R.; Mulhern, W.; Jahn, M.The importance of building/maintaining soil carbon, for soil health and CO2 mitigation, is of increasing interest to a wide audience, including policymakers, NGOs and land managers. Integral to any approaches to promote carbon sequestering practices in managed soils are reliable, accurate and cost-effective means to quantify soil C stock changes and forecast soil C responses to different management, climate and edaphic conditions. While technology to accurately measure soil C concentrations and stocks has been in use for decades, many challenges to routine, cost-effective soil C quantification remain, including large spatial variability, low signal-to-noise and often high cost and standardization issues for direct measurement with destructive sampling. Models, empirical and process-based, may provide a cost-effective and practical means for soil C quantification to support C sequestration policies. Examples are described of how soil science and soil C quantification methods are being used to support domestic climate change policies to promote soil C sequestration on agricultural lands (cropland and grazing land) at national and provincial levels in Australia and Canada. Finally, a quantification system is outlined – consisting of well-integrated datamodel frameworks, supported by expanded measurement and monitoring networks, remote sensing and crowd-sourcing of management activity data – that could comprise the core of a new global soil information system.
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