35 citations as recorded by crossref.

1. Projecting Basin-Scale Distributed Irrigation and Domestic Water Demands and Values: A Generic Method for Large-Scale Modeling N. Neverre & P. Dumas
2. Planning water-energy-food nexus system management under multi-level and uncertainty L. Yu et al.
3. A CA-based land system change model: LANDSCAPE X. Ke et al.
4. Food security under high bioenergy demand toward long-term climate goals T. Hasegawa et al.
5. Impacts of cropland expansion on carbon storage: A case study in Hubei, China L. Tang et al.
6. Adaptation of land management in the Mediterranean under scenarios of irrigation water use and availability Ž. Malek & P. Verburg
7. Land cover change or land‐use intensification: simulating land system change with a global‐scale land change model S. van Asselen & P. Verburg
8. An open and extensible framework for spatially explicit land use change modelling: the lulcc R package S. Moulds et al.
9. Downscaling land‐use data to provide global 30″ estimates of five land‐use classes A. Hoskins et al.
10. The Impact of Globalization on Food and Agriculture: The Case of the Diet Convergence T. Brunelle et al.
11. Unravelling Land-Use Change Mechanisms at Global and Regional Scales T. Brunelle et al.
12. Uniting agricultural water management, economics, and policy for climate adaptation through a new assessment of water markets for arid regions S. Trail & F. Ward
13. Assessing whether the best land is cultivated first: A quantile analysis T. Brunelle et al.
14. Assessing the impact of increased legume production in Europe on global agricultural emissions R. Prudhomme et al.
15. Global land-use allocation model linked to an integrated assessment model T. Hasegawa et al.
16. Spatial modeling of agricultural land use change at global scale P. Meiyappan et al.
17. An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM Y. Wei et al.
18. A review of global potentially available cropland estimates and their consequences for model‐based assessments D. Eitelberg et al.
19. ORCHIDEE-ROUTING: revising the river routing scheme using a high-resolution hydrological database T. Nguyen-Quang et al.
20. Quantifying the Safe Operating Space for Land‐System SDG Achievement via Machine Learning and Scenario Discovery M. Khan et al.
21. Sustainable aquifer management for food security B. Funk et al.
22. Halving mineral nitrogen use in European agriculture: Insights from multi‐scale land‐use models A. Lungarska et al.
23. Modelling world agriculture as a learning machine? From mainstream models to Agribiom 1.0 B. Dorin & P. Joly
24. Modelling Australian land use competition and ecosystem services with food price feedbacks at high spatial resolution J. Connor et al.
25. Combining mitigation strategies to increase co-benefits for biodiversity and food security R. Prudhomme et al.
26. Global biomass production potentials exceed expected future demand without the need for cropland expansion W. Mauser et al.
27. Integrated modeling of global change impacts on land and water resources P. Wagner et al.
28. Consequential effects of increased biofuel demand in Spain: Global crop area and CO2 emissions from indirect land use change D. Garraín et al.
29. Managing agricultural water use in the Western United States: A search for efficient climate adaptation institutions F. Ward et al.
30. The greenhouse gas balance of European grasslands J. Chang et al.
31. Global change effects on land management in the Mediterranean region Ž. Malek et al.
32. Calibration and analysis of the uncertainty in downscaling global land use and land cover projections from GCAM using Demeter (v1.0.0) M. Chen et al.
33. Evaluating the impact of rising fertilizer prices on crop yields T. Brunelle et al.
34. Quantifying the benefits of reducing synthetic nitrogen application policy on ecosystem carbon sequestration and biodiversity N. Devaraju et al.
35. Machine learning-based surrogate modelling of a robust, sustainable development goal (SDG)-compliant land-use future for Australia at high spatial resolution M. Khan et al.