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对露营地对阿巴拉契亚国家风景小径的影响进行区域衡量建模,以增强生态可持续性。

Modeling areal measures of campsite impacts on the Appalachian National Scenic Trail to enhance ecological sustainability.

机构信息

Virginia Tech, Forest Resources & Environmental Conservation, 310 W. Campus Dr., Blacksburg, VA, 24061, USA.

U.S. Geological Survey, Virginia Tech Field Station, 304f Cheatham Hall, 310 W. Campus Dr., Blacksburg, VA, 24061, USA.

出版信息

J Environ Manage. 2021 Feb 1;279:111693. doi: 10.1016/j.jenvman.2020.111693. Epub 2020 Dec 15.

Abstract

Campsite impacts in protected natural areas are most effectively minimized by a containment strategy that focuses use on a limited number of sustainable campsites that spatially concentrate camping activities. This research employs spatial autoregressive (SAR) modeling to evaluate the relative influence of use-related, environmental, and managerial factors on two salient measures of campsite impact. Relational analyses examined numerous field-collected and GIS-derived indicators, including several new indicators calculated using high-resolution Light Detection and Ranging (LiDAR) topographic data to evaluate the influence of terrain characteristics on the dependent variables. Chosen variables in the best SAR models explained 35% and 30% of the variation in campsite size and area of vegetation loss on campsites. Results identified three key indicators that managers can manipulate to enhance the sustainability of campsites: campsite type, and terrain characteristics relating to landform slope and topographic roughness. Results support indirect management methods that rely on the location, design, construction, and maintenance of campsites, instead of direct regulations that restrict visitation or visitor freedoms. As visitation pressures continue to increase, this knowledge can be applied to select and promote the use of more ecologically sustainable campsites.

摘要

在受保护的自然区域,通过集中使用有限数量的可持续露营地来集中露营活动的围堵策略,可以最有效地将露营地的影响最小化。本研究采用空间自回归(SAR)模型来评估与使用相关、环境和管理因素对两个突出的露营地影响衡量指标的相对影响。关系分析检验了许多实地收集和 GIS 衍生的指标,包括使用高分辨率光探测和测距(LiDAR)地形数据计算的几个新指标,以评估地形特征对因变量的影响。最佳 SAR 模型中的选定变量解释了露营地大小和露营地植被损失面积的 35%和 30%的变化。结果确定了三个关键指标,管理者可以通过操纵这些指标来提高露营地的可持续性:露营地类型以及与地貌坡度和地形粗糙度相关的地形特征。结果支持依赖于露营地位置、设计、施工和维护的间接管理方法,而不是限制访问或访客自由的直接规定。随着访问压力的持续增加,这些知识可以应用于选择和推广使用更具生态可持续性的露营地。

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