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Modeling visitor use on high elevation mountain trails: An example from Longs Peak in Rocky Mountain National Park, USA

Modeling visitor use on high elevation mountain trails: An example from Longs Peak in Rocky Mountain National Park, USA

作     者:David PETTEBONE Ashley D'ANTONIO Abigail SISNEROS-KIDD Christopher MONZ 

作者机构:National Park ServiceNatural Resources Stewardship and ScienceEnvironmental Quality DivisionSocial Science Program80525 Fort CollinsColoradoUSA Oregon State UniversityDepartment of Forest Ecosystems and Society97331 CorvallisOregonUSA Utah State UniversityQuinney College of Natural Resources84322 LoganUtahUSA Current Affiliation:University of WyomingHaub School of Environment and Natural Resources82072 LaramieWyomingUSA 

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

年 卷 期:2019年第16卷第12期

页      面:2882-2893页

核心收录:

学科分类:0709[理学-地质学] 0819[工学-矿业工程] 07[理学] 0303[法学-社会学] 0708[理学-地球物理学] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 0713[理学-生态学] 0834[工学-风景园林学(可授工学、农学学位)] 

基  金:supported by the Rocky Mountain National Park, cooperative agreement number P15AC00895 with Utah State Universit the Utah State Agricultural Experiment Station the Institute for Outdoor Recreation and Tourism for funding support 

主  题:Visitor use Mountain summits National parks Use estimation Recreation use Proxy variables 

摘      要:Increasing use on mountain summits has both social and ecological *** numbers of visitors climbing mountain summits can be a safety issue,particularly in areas where terrain or elevation leads to queueing that may cause time *** visitor use levels at site specific locations en route to summits is needed to understand the potential benefits and impacts of visitor use in these ***,it can be difficult to obtain reliable and robust data to estimate use and develop statistical relationships because of the remote and harsh climates on mountain summits,as well as the financial and personnel requirements involved to collect the data in remote *** 2015,data were collected on the higher stretches of the Keyhole Route on Longs Peak in Rocky Mountain National Park,USA(RMNP)to better understand use levels near the summit and to explore potential statistical relationships to trailhead use data that are relatively easy to *** statistical relationships from robust regression analyses were found between trailhead use counts and daily and hourly use totals on theHomestretchwhich is a final section of the Keyhole ***,a strong statistical relationship was found between total daily use and maximum hourly use on the *** results suggest that trailhead counts are an accurate and reliable means from which to estimate use levels on upper portions of the Keyhole ***,this research demonstrates the usefulness of an approach using proxy variables to estimate visitor use along remote peaks where data collection can be *** types of data can elucidate various options and decisions for park management teams who are charged with deciding if and how to manage high use areas.

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