Analysis of Land Suitability for Maize Production under Climate Change and Its Mitigation Potential through Crop Residue Management
Author:
Karapetsas Nikolaos1ORCID, Gobin Anne23ORCID, Bilas George1, Koutsos Thomas M.1ORCID, Pavlidis Vasileios4, Katragkou Eleni4, Alexandridis Thomas K.1ORCID
Affiliation:
1. Department of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece 2. Department of Earth and Environmental Sciences, Faculty of Bioscience Engineering, KU Leuven, 3000 Leuven, Belgium 3. Flemish Institute for Technological Research, 2400 Mol, Belgium 4. Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Abstract
Land Suitability Analysis (LSA), under the impact of climate change, is a fundamental approach to the design of appropriate land management strategies for sustainable crop production and food security. In this study, the FAO framework was used to assess the impact of climate change on land suitability for maize in Flanders, Belgium. The current LSA revealed the marginal suitability for maize cultivation, characterizing most of the agricultural land in Flanders and identifying precipitation as the most limiting factor for maize suitability. The LSA, under two climate change scenarios, was based on climate projections from several CMIP5 Global Circulation Models, transformed into future land suitability projections and assembled into a multi-model ensemble (MME) of projected suitability changes. The results indicate an average reduction in projected suitability of approximately 7% by 2099 under the high-emission scenario. The potential of the Soil-Improving Cropping System (SICS) to mitigate the impacts of climate change on land suitability was statistically significant under both low- and high-emission scenarios. This research provides valuable insights into the MME modeling of climate change impacts on land suitability and its associated uncertainty, with the application of SICS as a potential long-term mitigation measure to promote sustainable agricultural practices.
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