Literature DB >> 18330620

A model for predicting daily peak visitation and implications for recreation management and water quality: evidence from two rivers in Puerto Rico.

Luis E Santiago1, Armando Gonzalez-Caban, John Loomis.   

Abstract

Visitor use surveys and water quality data indicates that high visitor use levels of two rivers in Puerto Rico does not appear to adversely affect several water quality parameters. Optimum visitor use to maximize visitor defined satisfaction is a more constraining limit on visitor use than water quality. Our multiple regression analysis suggests that visitor use of about 150 visitors per day yields the highest level of visitor reported satisfaction, a level that does not appear to affect turbidity of the river. This high level of visitor use may be related to the gregarious nature of Puerto Ricans and their tolerance for crowding on this densely populated island. The daily peak visitation model indicates that regulating the number of parking spaces may be the most effective way to keep visitor use within the social carrying capacity.

Mesh:

Year:  2008        PMID: 18330620     DOI: 10.1007/s00267-008-9079-5

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  2 in total

1.  Impacts of visitors on soil and vegetation of the recreational area "Nacimiento del Río Mundo" (Castilla-La Mancha, Spain).

Authors:  Manuela Andrés-Abellán; Javier Benayas Del Alamo; Tomás Landete-Castillejos; Francisco R López-Serrano; Francisco A García-Morote; Antonio Del Cerro-Barja
Journal:  Environ Monit Assess       Date:  2005-02       Impact factor: 2.513

2.  Phosphorus loadings associated with a park tourist attraction: limnological consequences of feeding the fish.

Authors:  Andrew M Turner; Nathan Ruhl
Journal:  Environ Manage       Date:  2007-01-29       Impact factor: 3.266

  2 in total
  1 in total

1.  Balancing riparian management and river recreation: methods and applications for exploring floater behavior and their interaction with large wood.

Authors:  Kelly Biedenweg; Kate Akyuz; Rebecca Skeele
Journal:  Environ Manage       Date:  2012-05-27       Impact factor: 3.266

  1 in total

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