Data extraction from the 71 studies reviewed.

Geographic Information Systems (GIS) are frequently used when conducting site suitability and site selection studies for aquaculture because the factors influencing the suitability of an area typically contain a spatial element. Multi-criteria evaluation (MCE), often based on the Weighted Linear Combination (WLC) method, is commonly used in aquaculture as it allows the combination of numerous and often conflicting interdisciplinary criteria and the evaluation of the trade-offs between them. GIS-based MCE models can be implemented in different ways according to the modelling objectives, but a lack of transparency and unclear information on characteristics of the model and output(s) can affect their use in real-world decisions. This study analysed 71 scientific articles that developed and used GIS-based MCE for aquaculture site selection and site suitability modelling. The articles were identified using the PRISMA systematic review protocol and covered a wide range of locations, species, and production systems. Data on the reported model characteristics were extracted from the scientific articles and analysed to identify trends, similarities, and differences in the information provided within the studies. The analysis revealed inconsistencies in how models were described, with some articles missing important information that could limit their use for many aquaculture planning decisions. Based on these findings, a checklist and reporting framework were produced that can be used to ensure important information is easily accessible alongside GIS-based MCE models and their outputs. The checklist and reporting framework can act as a template to provide clear and consistent documentation that will facilitate the use of models and outputs by end users who may not have been involved in the modelling process and are unfamiliar with the technical aspects.地理信息系统（Geographic Information Systems, GIS）在开展水产养殖场地适宜性评价与选址研究中应用极为普遍，这是由于影响区域适宜性的各类因素通常均具备空间属性。多准则评价（Multi-criteria evaluation, MCE）常基于加权线性组合（Weighted Linear Combination, WLC）方法，在水产养殖领域应用广泛，因其可整合诸多往往相互冲突的跨学科评价准则，并对准则间的权衡关系开展评估。基于GIS的MCE模型可依据建模目标以多样化方式实现，但模型及其输出结果的特征缺乏透明度与清晰说明，可能会影响其在实际决策中的应用。本研究针对71篇开发并应用基于GIS的MCE开展水产养殖选址与场地适宜性建模的学术论文展开分析。研究通过PRISMA系统评价方案检索得到上述文献，其覆盖的研究区域、养殖物种与生产系统类型均十分广泛。研究人员从这些学术论文中提取所报告的模型特征相关数据，并进行分析，以识别各研究中所提供信息的趋势、共性与差异。分析结果显示，模型的描述方式存在不一致性，部分文献缺失了可能制约其在诸多水产养殖规划决策中应用的关键信息。基于上述研究发现，本研究编制了一份核查清单与报告框架，可用于确保基于GIS的MCE模型及其输出结果附带的重要信息易于获取。该核查清单与报告框架可作为模板，提供清晰统一的文档资料，从而便于未参与建模流程且不熟悉技术细节的终端用户使用相关模型与输出结果。