Data_Sheet_1_From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic.docx

With the alarming increase in dying trees and massive logging in the Czech forests due to bark beetle infestation, the collection of non-wood forest products, a beneficial recreational activity in the Czech Republic, is now being promoted as an alternative to wood provisioning services. This paper aims to present findings on the non-wood forest product preferences in the country as part of a baseline assessment for promoting the usage. This study relied on the 2019 national survey data of public preferences in collecting forest berries, mushrooms, honey, and medicinal herbs. K-means cluster analysis was employed to classify the respondents. A binary logistic regression with a conditional forward approach was employed to identify the potential predictors of the high preference for each non-wood forest product. Data from 1,050 online respondents were included, and two groups of respondents were clustered based on their preferences for the entire non-wood forest, i.e., higher and lower utilization. The regression analysis revealed that frequent forest visitors were the primary predictor of high utilization of all non-wood forest products (between 1.437 to 4.579 odd ratios), in addition to age, gender, and location of the forest property. By clustering the respondents based on the high and low preferences in utilizing non-wood forest products, the promotion of this service, from recreational to potential livelihood activities and economic benefits, can be better targeted, e.g., target customer, infrastructure development in the location with high preferences, scenarios based on the type of owners (municipal or private forest owners), which in accordance to the national forest policy and laws, and, at the same time, maintain the ecological stability.

受小蠹虫（bark beetle）侵染影响，捷克森林中枯亡树木数量急剧增长、大规模采伐现象频发，在此背景下，作为捷克国内一项有益休闲活动的非木质林产品（Non-Wood Forest Products）采集活动，如今被推广为木材供给服务的替代方案。本研究旨在呈现该国公众对非木质林产品的偏好相关研究结果，作为推广其应用的基线评估的一部分。本研究采用2019年全国调查数据，该数据聚焦公众采集森林浆果、蘑菇、蜂蜜及药用植物的偏好情况。研究使用K-means聚类分析对受访者进行分类，并采用带有条件向前法的二元逻辑回归（binary logistic regression）模型，识别公众对各类非木质林产品的高偏好的潜在影响因素。本研究共纳入1050名线上受访者的数据，并基于受访者对整体非木质林产品的利用偏好（即高利用与低利用）将其划分为两组。回归分析结果显示，除年龄、性别及林地区位外，高频森林到访者是所有非木质林产品高利用程度的核心影响因素（优势比介于1.437至4.579之间）。通过基于非木质林产品利用偏好高低对受访者进行聚类，可更精准地推进该服务的推广工作——将其从休闲活动拓展为兼具潜力的生计活动与经济收益来源，具体可包括：精准定位目标客群、在高偏好区域推进基础设施建设、结合林地所有者类型（公有或私有林主）制定适配方案，且所有举措均需符合国家森林政策与法律法规，同时维持生态系统稳定性。