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Abstract
Land degradation is a complex socio-environmental threat, which generally occurs as multiple concurrent pathways that remain largely unexplored in Europe. Here we present an unprecedented analysis of land multi-degradation in 40 continental countries, using twelve dataset-based processes that were modelled as land degradation convergence and combination pathways in Europe’s agricultural (and arable) environments. Using a Land Multi-degradation Index, we find that up to 27%, 35% and 22% of continental agricultural (~2 million km2) and arable (~1.1 million km2) lands are currently threatened by one, two, and three drivers of degradation, while 10–11% of pan-European agricultural/arable landscapes are cumulatively affected by four and at least five concurrent processes. We also explore the complex pattern of spatially interacting processes, emphasizing the major combinations of land degradation pathways across continental and national boundaries. Our results will enable policymakers to develop knowledge-based strategies for land degradation mitigation and other critical European sustainable development goals.
This study presents an unprecedented analysis of agricultural land multi-degradation in 40 European countries, using twelve dataset-based processes that were modelled as land degradation convergence and combination pathways across the continent.
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1 Faculty of Geography, University of Bucharest, Bucharest, Romania (GRID:grid.5100.4) (ISNI:0000 0001 2322 497X); Institute of the University of Bucharest (ICUB), University of Bucharest, Research, Bucharest, Romania (GRID:grid.5100.4) (ISNI:0000 0001 2322 497X); Academy of Romanian Scientists, Bucharest, Romania (GRID:grid.435118.a) (ISNI:0000 0004 6041 6841)
2 University of Basel, Department of Environmental Sciences, Environmental Geosciences, Basel, Switzerland (GRID:grid.6612.3) (ISNI:0000 0004 1937 0642); Roma Tre University, Department of Science, Rome, Italy (GRID:grid.8509.4) (ISNI:0000 0001 2162 2106)
3 Joint Research Centre (JRC), European Commission, Ispra, Italy (GRID:grid.434554.7) (ISNI:0000 0004 1758 4137)
4 Cardiff University, School of Earth and Environmental Sciences, Wales, United Kingdom (GRID:grid.5600.3) (ISNI:0000 0001 0807 5670)
5 Universidade de Santiago de Compostela, CRETUS, Non-Linear Physics Group, Faculty of Physics, Galicia, Spain (GRID:grid.11794.3a) (ISNI:0000 0001 0941 0645)
6 The University of Sydney, Environmental Engineering, School of Civil Engineering, Sydney, Australia (GRID:grid.1013.3) (ISNI:0000 0004 1936 834X)
7 Peking University, Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319)
8 Department of Geography, Alexandru Ioan Cuza University, Faculty of Geography and Geology, Iași, Romania (GRID:grid.8168.7) (ISNI:0000 0004 1937 1784)
9 Geography Department, Romanian Academy, Iași Divison, Iași, Romania (GRID:grid.418333.e) (ISNI:0000 0004 1937 1389)
10 Romanian Academy, Institute of Geography, Bucharest, Romania (GRID:grid.418333.e) (ISNI:0000 0004 1937 1389)
11 Faculty of Geography, University of Bucharest, Bucharest, Romania (GRID:grid.5100.4) (ISNI:0000 0001 2322 497X); Academy of Romanian Scientists, Bucharest, Romania (GRID:grid.435118.a) (ISNI:0000 0004 6041 6841)
12 VisualFlow, Bucharest, Romania (GRID:grid.435118.a)