Literature DB >> 32280317

Quantifying Recreational Use of an Estuary: A Case Study of Three Bays, Cape Cod, USA.

Kate K Mulvaney1, Sarina F Atkinson2, Nathaniel H Merrill1, Julia H Twichell3, Marisa J Mazzotta1.   

Abstract

Estimates of the types and number of recreational users visiting an estuary are critical data for quantifying the value of recreation and how that value might change with variations in water quality or other management decisions. However, estimates of recreational use are minimal and conventional intercept surveys methods are often infeasible for widespread application to estuaries. Therefore, a practical observational sampling approach was developed to quantify the recreational use of an estuary without the use of surveys. Designed to be simple and fast to allow for replication, the methods involved the use of periodic instantaneous car counts multiplied by extrapolation factors derived from all-day counts. This simple sampling approach can be used to estimate visitation to diverse types of access points on an estuary in a single day as well as across multiple days. Evaluation of this method showed that when periodic counts were taken within a preferred time window (from 11am-4:30pm), the estimates were within 44 percent of actual daily visitation. These methods were applied to the Three Bays estuary system on Cape Cod, USA. The estimated combined use across all its public access sites is similar to the use at a mid-sized coastal beach, demonstrating the value of estuarine systems. Further, this study is the first to quantify the variety and magnitude of recreational uses at several different types of access points throughout the estuary using observational methods. This work can be transferred to the many small coastal access points used for recreation across New England and beyond.

Entities:  

Keywords:  Cape Cod; Coastal access; Estuarine recreational use; Visitation; Water quality benefits

Year:  2020        PMID: 32280317      PMCID: PMC7147807          DOI: 10.1007/s12237-019-00645-8

Source DB:  PubMed          Journal:  Estuaries Coast        ISSN: 1559-2723            Impact factor:   2.976


  5 in total

1.  Importance of public information and perception for managing recreational activities in the Peel-Harvey estuary, Western Australia.

Authors:  Muriel Lepesteur; Aggie Wegner; Susan A Moore; Arthur McComb
Journal:  J Environ Manage       Date:  2007-04-06       Impact factor: 6.789

2.  Analysis of lifeguard-recorded data at Hanauma Bay, Hawaii.

Authors:  Scott Y Harada; Ralph S Goto; Andrew T Nathanson
Journal:  Wilderness Environ Med       Date:  2010-11-03       Impact factor: 1.518

3.  Valuing Coastal Beaches and Closures Using Benefit Transfer: An Application to Barnstable, Massachusetts.

Authors:  Sarina F Lyon; Nathaniel H Merrill; Kate K Mulvaney; Marisa J Mazzotta
Journal:  J Ocean Coast Econ       Date:  2018-05-31

4.  Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA.

Authors:  Jason Kreitler; Michael Papenfus; Kristin Byrd; William Labiosa
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

Review 5.  Assessing the utility of statistical adjustments for imperfect detection in tropical conservation science.

Authors:  Cristina Banks-Leite; Renata Pardini; Danilo Boscolo; Camila Righetto Cassano; Thomas Püttker; Camila Santos Barros; Jos Barlow
Journal:  J Appl Ecol       Date:  2014-06-02       Impact factor: 6.528

  5 in total
  2 in total

1.  Evaluating water quality impacts on visitation to coastal recreation areas using data derived from cell phone locations.

Authors:  Ryan P Furey; Nathaniel H Merrill; Josh P Sawyer; Kate K Mulvaney; Marisa J Mazzotta
Journal:  PLoS One       Date:  2022-04-27       Impact factor: 3.752

2.  Using data derived from cellular phone locations to estimate visitation to natural areas: An application to water recreation in New England, USA.

Authors:  Nathaniel H Merrill; Sarina F Atkinson; Kate K Mulvaney; Marisa J Mazzotta; Justin Bousquin
Journal:  PLoS One       Date:  2020-04-30       Impact factor: 3.240

  2 in total

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