Literature DB >> 14680897

Wildfire effects on hiking and biking demand in New Mexico: a travel cost study.

Hayley Hesseln1, John B Loomis, Armando González-Cabán, Susan Alexander.   

Abstract

We use a travel cost model to test the effects of wild and prescribed fire on visitation by hikers and mountain bikers in New Mexico. Our results indicate that net benefits for mountain bikers is $150 per trip and that they take an average of 6.2 trips per year. Hikers take 2.8 trips per year with individual net benefits per trip of $130. Both hikers' and mountain bikers' demand functions react adversely to prescribed burning. Net benefits for both groups fall as areas recover from prescribed burns. Because both visitation and annual recreation benefits decrease to these two types of visitors, this gives rise to multiple use costs associated with prescribed burning. With respect to wildfire, hikers and mountain bikers both exhibit decreased visitation as areas recover from wildfires, however, only hikers indicate an increase in per trip net benefits. Bikers' demand effectively drops to zero. These results differ from previous findings in the literature and have implications for efficient implementation of the National Fire Plan and whether prescribed burning is a cost effective tool for multiple use management of National Forests. Specifically, that fire and recreation managers cannot expect recreation users to react similarly to fire across recreation activities, or different geographic regions. What is cost effective in one region may not be so in another.

Mesh:

Year:  2003        PMID: 14680897     DOI: 10.1016/j.jenvman.2003.09.012

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

1.  Multi-destination and multi-purpose trip effects in the analysis of the demand for trips to a remote recreational site.

Authors:  Roberto Martínez-Espiñeira; Joe Amoako-Tuffour
Journal:  Environ Manage       Date:  2009-01-31       Impact factor: 3.266

2.  Estimating the economic value of national parks with count data models using on-site, secondary data: the case of the great sand dunes national park and preserve.

Authors:  Matthew T Heberling; Joshua J Templeton
Journal:  Environ Manage       Date:  2008-05-28       Impact factor: 3.266

3.  Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach.

Authors:  Isabel Mendes; Isabel Proença
Journal:  Environ Manage       Date:  2011-09-13       Impact factor: 3.266

  3 in total

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