基于Meta整合与模糊综合评价的森林康养指标体系构建

Construction of forest therapy index system based on Meta integration and fuzzy comprehensive evaluation

【目的】构建客观性和科学性更强的森林康养指标体系,为森林康养基地建设及认证提供理论指导。【方法】以现有森林康养相关指标体系评价结果作为数据源,引入Meta整合的方法进行归纳汇总,结合国内已有指标体系和已发布标准,构建综合性更强的新的指标体系,再通过模糊数学的隶属度理论和模糊关系合成原理进行评价分析。【结果】①从资源条件、环境条件、区位条件3个方面整合构建了包含32个基础指标的三级指标体系,一定程度减轻了现有指标体系由于侧重旅游资源、景观规划、地理和林业领域,而出现的分类模糊和指代重复交叉等问题;②综合评价结果显示:环境条件权重隶属度最高,为0.4975,其中人体舒适度和负氧离子含量2项指标被更多地认为对森林康养功效最有利;资源条件权重隶属度为0.3688,其中森林面积和覆盖率指标权重显著高于其他指标,可能与现阶段关于具体森林结构对康养功效影响规律研究不足有关,区位条件指标隶属度最低,为0.1337。【结论】将Meta整合的方法引入森林康养指标体系构建是可行的;综合评价结果能够呈现目前公众对森林康养指标的认可度。后续可深入研究人体舒适度、林分密度等对森林康养功效的影响以及加强基地医学实证探索。

[Objective]This study,with a Meta integrated review using the existing index system related to forest therapy,is aimed to construct a more objective and scientific index system and further optimize the forest therapy indicator system so as to provide reference for the further promotion of the empirical research of related indicators.[Method]First,a summary was made of the evaluation results of the existing forest therapy related index system using the Meta integration method.Then,with foreign indicator systems and domestic published standards integrated,a new and more comprehensive indicator system was constructed before the evaluation and analysis were carried out through the membership theory of fuzzy mathematics and the principle of fuzzy relation composition.[Result](1)The three-level indicator system with 32 basic indicators regarding resources,environment and location has offset the negative impact of the existing indicator systems that featured with unclear classification,duplication of reference and anaphora overlapping due to their excessive focus on tourism resources,landscape planning and geography forestry.(2)As indicated in the comprehensive evaluation results,the weight of environmental conditions was 0.4975,and of the sub indicators comfort index and negative oxygen ion content were considered as the most favorable indicators for forest therapy;the resource condition weight was 0.3688,and of the sub indicators the forest area and coverage index had a significantly higher weight than the others,which may attribute to the current insufficient research on the impact of specific forest structure on the health efficacy whereas the location condition index is 0.1337.[Conclusion]It is feasible to introduce the method of Meta integration into the construction of forest therapy index system.The comprehensive evaluation results have reflected the public’s recognition of the current forest therapy indicators,and it is necessary to further study the effects of stand density and human comfort in the forest therapy base,and strengthen the empirical exploration of the base medicine.