Abstract:Recreation is considered an important ecosystem services (ES) in urban woodlands and puts pressure on other ES. Visitor management strategies can be tools to safeguard biodiversity and ES. On-site data are necessary to evaluate the demand for outdoor recreation opportunities in urban woodlands, but also for providing more reliable values for monetization as a basis for multifunctional forest management, and for raising awareness for the importance of urban proximate forests. Such information can also be used for the assessment and monetization of socio-cultural ES, and hence, contribute to developing market-based mechanisms or to promoting these ES. In our paper, we demonstrate methods to describe recreational demand by collecting data from interviews and using camera traps in two forests in the north of Munich for visitor counting. Visitor numbers in the forests were much greater than rough estimations; visitors also had quite long travelling distances to the forests. Jogging or Nordic walking were proven to be important recreational activities. In some of the monitored locations, almost half of the recreationists carried out these sports. Depending on the method chosen, the calculative monetary value of recreation reached up to 15,440 Euro per hectare per year.

A variety of counting methods exist to analyze visitor numbers of outdoor settings such as national parks, recreation areas and urban green spaces, with sensor-based approaches being the most frequently applied. In this paper, we describe the application and practicality of camera traps originally designed for wildlife monitoring for visitor management purposes. The focus of the work is on the practicality of trigger camera traps and data collection for visitor monitoring from a more practice- and management-oriented perspective. Camera traps can provide interesting in-depth and detailed information about recreationists and are flexible and suitable for various uses; however, assessing the visual data manually requires significant staff and working time. To deal with the large amounts of data gathered for numbers of passersby and recreation activities, correlation factors between passersby and pictures were determined, so that the number of passersby related to the number of pictures taken per day or per other time unit could be established. In focusing on using the camera traps and assessing the generated data, it became clear that more studies have to be conducted to compare different methods of visitor monitoring and their accuracy in different outdoor environments.