Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.envsoft.2018.03.031 |
| Document | author version |
| Title (Primary) | A review of multi-criteria optimization techniques for agricultural land use allocation |
| Author | Kaim, A.; Cord, A.F.; Volk, M. |
| Source Titel | Environmental Modelling & Software |
| Year | 2018 |
| Department | CLE |
| Volume | 105 |
| Page From | 79 |
| Page To | 93 |
| Language | englisch |
| Keywords | Agricultural land use allocation; Multi-criteria decision analysis (MCDA); Multi-criteria optimization; Stakeholder integration; Trade-off analysis; Constraint handling |
| UFZ wide themes | RU1; |
| Abstract | Optimal land use allocation with the intention of ecosystem services provision and biodiversity conservation is one of the key challenges in agricultural management. Optimization techniques have been especially prevalent for solving land use problems; however, there is no guideline supporting the selection of an appropriate method. To enhance the applicability of optimization techniques for real-world case studies, this study provides an overview of optimization methods used for targeting land use decisions in agricultural areas. We explore their relative abilities for the integration of stakeholders and the identification of ecosystem service trade-offs since these are especially pertinent to land use planners. Finally, we provide recommendations for the use of the different optimization methods. For example, scalarization methods (e.g., reference point methods, tabu search) are particularly useful for a priori or interactive stakeholder integration; whereas Pareto-based approaches (e.g., evolutionary algorithms) are appropriate for trade-off analyses and a posteriori stakeholder involvement. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=20130 |
| Kaim, A., Cord, A.F., Volk, M. (2018): A review of multi-criteria optimization techniques for agricultural land use allocation Environ. Modell. Softw. 105 , 79 - 93 10.1016/j.envsoft.2018.03.031 |
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