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Integrating data from National Forest Inventories into socio-cultural forest monitoring – a new approach
Scandinavian Journal of Forest Research ( IF 1.8 ) Pub Date : 2020-08-04 , DOI: 10.1080/02827581.2020.1799066
K. Tessa Hegetschweiler 1 , Christoph Fischer 2 , Marco Moretti 3 , Marcel Hunziker 1
Affiliation  

ABSTRACT Information about social aspects of forest is frequently collected with questionnaire surveys. Several countries conduct nation-wide surveys in order to monitor outdoor recreation and the relationship of the people to the forest. While this gives a representative picture of the respondents’ preferences and activities, it is not possible to link their answers to the real characteristics of the forest they are describing. On the other hand, forest characteristics are commonly recorded in National Forest Inventories (NFIs). Concerning forest recreation, both the physical characteristics of the forest as well as the social aspects play an important role. To establish a link between socio-cultural forest monitoring and the Swiss NFI, we used photos taken in all four cardinal directions from the centre of the NFI sample plots. The photos were integrated in an online survey dealing with visual attractiveness of forest. Forest characteristics were derived from the photos according to NFI-criteria. An evaluation of this method revealed that most parameters studied could be deducted reliably from the photos. Results show that visual attractiveness could be explained by a combination of several NFI-parameters and social factors. We conclude that this approach is a possibility to integrate forest characteristics into socio-cultural forest monitoring.

中文翻译:

将国家森林清单的数据整合到社会文化森林监测中——一种新方法

摘要 通过问卷调查经常收集有关森林社会方面的信息。一些国家进行了全国范围的调查,以监测户外休闲活动以及人们与森林的关系。虽然这给出了受访者偏好和活动的代表性图片,但不可能将他们的答案与他们所描述的森林的真实特征联系起来。另一方面,森林特征通常记录在国家森林清单 (NFI) 中。关于森林游憩,森林的物理特性和社会方面都发挥着重要作用。为了在社会文化森林监测和瑞士 NFI 之间建立联系,我们使用了从 NFI 样本地块中心沿所有四个主要方向拍摄的照片。这些照片被整合到一项关于森林视觉吸引力的在线调查中。根据 NFI 标准从照片中得出森林特征。对该方法的评估表明,所研究的大多数参数都可以从照片中可靠地推导出来。结果表明,视觉吸引力可以通过几个 NFI 参数和社会因素的组合来解释。我们得出的结论是,这种方法可以将森林特征整合到社会文化森林监测中。结果表明,视觉吸引力可以通过几个 NFI 参数和社会因素的组合来解释。我们得出的结论是,这种方法可以将森林特征整合到社会文化森林监测中。结果表明,视觉吸引力可以通过几个 NFI 参数和社会因素的组合来解释。我们得出的结论是,这种方法可以将森林特征整合到社会文化森林监测中。
更新日期:2020-08-04
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