Zoccali Paolo, Malacrinò Antonino, Campolo Orlando, Laudani Francesca, Algeri Giuseppe M, Giunti Giulia, Strano Cinzia P, Benelli Giovanni, Palmeri Vincenzo
Department of AGRARIA, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy.
Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy.
Saudi J Biol Sci. 2017 Jul;24(5):1045-1050. doi: 10.1016/j.sjbs.2017.01.062. Epub 2017 Feb 4.
Honeybees are critically important for the environment and to the economy. However, there are in substantial decline worldwide, leading to serious threat to the stability and yield of food crops. Beekeeping is of pivotal importance, combining the wide economical aspect of honey production and the important ecological services provided by honeybees. In this scenario, the prompt identification of beekeeping areas is strategic, since it maximised productivity and lowered the risks of colony losses. Fuzzy logic is an ideal approach for problem-solving tasks, as it is specifically designed to manage problems with a high degree of uncertainty. This research tested a novel GIS-based approach to assess beekeeping suitability of lands located in Calabria (Southern Italy), without relying to Analytic Hierarchy Process - Multiple Criteria Decision Making (AHP-MCDM), thus avoiding the constraints due to the technique and decision makers' influences. Furthermore, the data used here were completely retrieved from open access sources, highlighting that our approach is characterized by low costs and can be easily reproduced for a wide arrays of geographical contexts. Notably, the results obtained by our experiments were validated by the actual beekeeping reality. Besides beekeeping, the use of this system could not only be applied in beekeeping land suitability evaluations, but may be successfully extended to other types of land suitability evaluations.
蜜蜂对环境和经济至关重要。然而，全球范围内蜜蜂数量大幅下降，这对粮食作物的稳定性和产量构成了严重威胁。养蜂业至关重要，它既涉及蜂蜜生产广泛的经济层面，又涵盖蜜蜂所提供的重要生态服务。在这种情况下，迅速确定养蜂区域具有战略意义，因为这能提高生产力并降低蜂群损失风险。模糊逻辑是解决问题任务的理想方法，因为它专门设计用于处理高度不确定性的问题。本研究测试了一种基于地理信息系统（GIS）的新方法，以评估位于意大利南部卡拉布里亚地区土地的养蜂适宜性，该方法不依赖层次分析法 - 多准则决策（AHP - MCDM），从而避免了该技术和决策者影响带来的限制。此外，这里使用的数据完全来自开放获取资源，这突出表明我们的方法成本低，并且可以很容易地在各种地理环境中重现。值得注意的是，我们实验获得的结果通过实际养蜂现实得到了验证。除养蜂外，该系统的应用不仅可用于养蜂土地适宜性评估，还可能成功扩展到其他类型的土地适宜性评估。
