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A Model for Predicting Daily Peak Visitation and Implications for Recreation Management and Water Quality: Evidence from Two Rivers in Puerto Rico

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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.

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Acknowledgment

This material is based upon work supported by the National Science Foundation under Grant No. 0308414.

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Correspondence to Luis E. Santiago.

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Santiago, L.E., Gonzalez-Caban, A. & Loomis, J. A Model for Predicting Daily Peak Visitation and Implications for Recreation Management and Water Quality: Evidence from Two Rivers in Puerto Rico. Environmental Management 41, 904–914 (2008). https://doi.org/10.1007/s00267-008-9079-5

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  • DOI: https://doi.org/10.1007/s00267-008-9079-5

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