Robust meta-model for investigating crop yields and Soil Organic Carbon dynamics and probability distributions depending on land use practices, soil characteristics and climate change: Insights for soil health preservation and Food security

Ermolieva, T., Skalský, R. ORCID: https://orcid.org/0000-0002-0983-6897, Balkovič, J. ORCID: https://orcid.org/0000-0003-2955-4931, Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Havlik, P. ORCID: https://orcid.org/0000-0001-5551-5085, Derci Augustynczik, A.L., Frank, S. ORCID: https://orcid.org/0000-0001-5702-8547, Kahil, T. ORCID: https://orcid.org/0000-0002-7812-5271, Wang, G., & Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179 (2023). Robust meta-model for investigating crop yields and Soil Organic Carbon dynamics and probability distributions depending on land use practices, soil characteristics and climate change: Insights for soil health preservation and Food security. In: Soil Physics and Healthy Cropland Cultivation, 4-7 August, 2023, Hangzhou, China.

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Item Type: Conference or Workshop Item (Paper)
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT)
Biodiversity and Natural Resources (BNR)
Biodiversity and Natural Resources (BNR) > Agriculture, Forestry, and Ecosystem Services (AFE)
Biodiversity and Natural Resources (BNR) > Integrated Biosphere Futures (IBF)
Biodiversity and Natural Resources (BNR) > Water Security (WAT)
Depositing User: Luke Kirwan
Date Deposited: 20 Oct 2023 10:12
Last Modified: 20 Oct 2023 10:12
URI: https://pure.iiasa.ac.at/19139

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