Assessing spatial attributes of forest landscape values: an internet-based participatory mapping approach
Assessing spatial attributes of forest landscape values: an internet-based participatory mapping approach
复制标题
DOI：
10.1139/x07-149
复制
发表时间：
2008-02-01
影响因子：
2.2
通讯作者：
Bothwell, Peter
中科院分区：
文献类型：
--
作者：
Beverly, Jennifer L.;Uto, Kinga;Bothwell, Peter
我们设计并开发了一个互联网地图应用程序，用于收集加拿大阿尔伯塔省 240 万公顷研究区域的森林景观价值位置数据。对研究区域的四个社区进行了调查，并针对 10 种不同的值类型绘制了 8053 个点位置。景观价值的重要性权重是通过排名练习确定的。最近邻和二阶空间点模式分析（K 函数）表明，所有值类型在整个研究区域都显着聚集。与教育、经济、历史或文化和精神价值相比，休闲、荒野、存在和生物多样性价值在更大的空间尺度上表现出最大程度的聚集。最大聚类与平均道路密度呈正相关，与距水的平均距离呈负相关，这表明景观特征通过充当价值的焦点或吸引子来影响价值的空间格局。提出了在森林火灾管理规划中价值热点检测和社区保护分区数据的应用。
We designed and developed an internet mapping application to collect data on the locations of forest landscape values across a 2.4 million hectare study area in the province of Alberta, Canada. Four communities in the study area were surveyed and 8053 point locations were mapped for 10 different value types. Importance weights of landscape values were determined through a ranking exercise. Nearest-neighbour and second-order spatial point pattern analysis (K functions) suggested that all value types were significantly clustered across the study area. Recreational, wilderness, existence, and biological diversity values exhibited maximum clustering at larger spatial scales in comparison with educational, economic, historic or cultural, and spiritual values. Maximum clustering was positively related to mean road density and negatively related to mean distance to water, which suggests that landscape features influence the spatial pattern of values by acting as focal points or attractors for values. An applied use of the data for values hotspot detection and community protection zoning in forest fire management planning is presented.