جستجوی مقالات مرتبط با کلیدواژه "multi objective land allocation" در نشریات گروه "اکولوژی"

Zoning of protected areas is an effective solution for reducing conflicts between various objectives, such as prioritizing conservation while also addressing secondary goals like rehabilitation, tourism, and multiple-use zones. Achieving these objectives is not feasible without zoning. This study aimed to allocate areas for conservation, rehabilitation, tourism, and multiple-use zones within the Abbasabad Wildlife Sanctuary, considering the interactions among different zones to optimize the arrangement of incompatible areas through multi-criteria evaluation method. Fuzzy models were used to standardize criteria, and Best-worst Weighting Model (BWM) was used to determine their weights. Suitability maps for each land use were prepared separately using the Ordered Weighted Average (OWA) method, while the zoning map for optimal land allocation was created using the multi objective land allocation (MOLA). The results indicated that the final suitability of the designated zones ranged from zero (the lowest suitability) to one (the highest suitability). The suitability scores for conservation, rehabilitation, tourism, and multiple zones were 0.82, 0.98, 0.82, and 0.84, respectively. The findings of this research can be used as a model for planning and prioritizing land use in protected areas.

Over the past few decades, several models such as the LP model have been used for managing watersheds and determining optimal cultivation pattern for agricultural planning. Management and planning methods are the most important applied tools of management science for optimal allocating resources in order to gain the most profits in the different fields including natural resources, water resources. In this research, using optimization methods, a single objective fuzzy linear programming model was used to land use optimization and a multi objective optimization model for optimal allocation of resources. The results showed that the proposed combined model can be the base for correct management of resources and decrease the amount of soil erosion to 12 percent.Also, the results indicated that under optimized condition, the area allocated to dry farming lands will decrease about 59% and the area of rangelands, irrigated agricultures, gardens and forest plantation will increase about 1%, 9%, 94% and 229% respectively. It is mentioned that the new produced model is a model which is compatible with social and economic condition of watershed and can apply for better use, conservation and rehabilitation of existent natural resources and can be introduce as model which is on the basis of environmental approach.