Mapping cultural ecosystem services in mountain forests using mobile phone data

作     者：CIESIELSKI Mariusz KAMINSKA Agnieszka CIESIELSKI Mariusz;KAMIŃSKA Agnieszka

作者机构：Department of GeomaticsForest Research InstituteSękocin StaryBraci leśnej 305-090Poland 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2023年第20卷第12期

页      面：3437-3449页

核心收录：

学科分类：081603[工学-地图制图学与地理信息工程] 081802[工学-地球探测与信息技术] 07[理学] 08[工学] 070503[理学-地图学与地理信息系统] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0816[工学-测绘科学与技术] 

基　　金：Funded by the National Science Centre,Poland under the OPUS call in the Weave programme(project No.2021/43/I/HS4/01451) funded by Ministry of Education and Science(901503) 

主　　题：Ecosystem services Big data Traffic research Monitoring Forests 

摘      要：The aim of the work was to determine the spatial distribution of activity in the forest on the area of the Forest Promotional Complex“Sudety Zachodnieusing mobile phone *** study identified the sites with the highest(hot spot)and lowest(cold spot)***,stand,demographic,topographic and spatial factors affecting the distribution of activity were also *** approaches were applied in our research:global and local Moran’s coefficients,and a machine learning technique,Boosted Regression *** results show that 11,503,320 visits to forest areas were recorded in the“Sudety Zachodniein *** most popular season for activities was winter,and the least popular was *** global and local Moran’s I coefficients,three small hot clusters of activity and one large cold cluster were *** with high values with similar neighbours(hot-spots)were most often visited forest areas,averaging almost 200,000 visits over *** fewer visits were recorded in cold-spots,the average number of visits to these areas was about 4,*** value of global Moran’s I was equal to 0.54 and proved significant positive spatial *** of Boosted Regression Trees modeling of visits in forest,using tree stand habitat and spatial factors accurately explained 76%of randomly selected input *** variables that had the greatest effect on the distribution of activities were the density of hiking and biking trails and diversity of *** methodology presented in this article allows delineation of Cultural Ecosystem Services hot spots in forest areas based on mobile phone *** also allows the identification of factors that may influence the distribution of visits in *** data are important for managing forest areas and adapting forest management to the needs of society while maintaining ecosystem stability.