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

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          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.

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          The economic and market value of America’s coasts and estuaries: what’s at stake

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            Current participation patterns in marine recreation

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              Author and article information

              Journal
              Estuaries and Coasts
              Estuaries and Coasts
              Springer Science and Business Media LLC
              1559-2723
              1559-2731
              January 2020
              November 22 2019
              January 2020
              : 43
              : 1
              : 7-22
              Article
              10.1007/s12237-019-00645-8
              7147807
              32280317
              625dfebc-4d5d-473e-bcbc-dcb8223f1ffc
              © 2020

              http://www.springer.com/tdm

              http://www.springer.com/tdm

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