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Linking human behavior to environmental quality is critical for effective natural resource management. While it is commonly assumed that environmental conditions partially explain variation in visitation to coastal recreation areas across space and time, scarce and inconsistent visitation observations challenge our ability to reveal these connections. With the ubiquity of mobile phone usage, novel sources of digitally derived data are increasingly available at a massive scale. Applications of mobile phone locational data have been effective in research on urban-centric human mobility and transportation, but little work has been conducted on understanding behavioral patterns surrounding dynamic natural resources. We present an application of cell phone locational data to estimate the effects of beach closures, based on measured bacteria threshold exceedances, on visitation to coastal access points. Our results indicate that beach closures on Cape Cod, MA, USA have a significant negative effect on visitation at those beaches with closures, while closures at a sample of coastal access points elsewhere in New England have no detected impact on visitation. Our findings represent geographic mobility patterns for over 7 million unique coastal visits and suggest that closures resulted in approximately 1,800 (0.026%) displaced visits for Cape Cod during the summer season of 2017. We demonstrate the potential for human-mobility data derived from mobile phones to reveal the scale of use and behavior in response to changes in dynamic natural resources. Potential future applications of passively collected geocoded data to human-environmental systems are vast. [ABSTRACT FROM AUTHOR]

We introduce and validate the use of commercially available human mobility datasets based on cell phone locations to estimate visitation to natural areas. By combining this data with on-the-ground observations of visitation to water recreation areas in New England, we fit a model to estimate daily visitation for four months to more than 500 sites. The results show the potential for this new big data source of human mobility to overcome limitations in traditional methods of estimating visitation and to provide consistent information at policy-relevant scales. However, the data providers' opaque and rapidly developing methods for processing locational information required a calibration and validation against data collected by traditional means to confidently reproduce the desired estimates of visitation. We found that with this calibration, the high-resolution information in both space and time provided by cell phone location-derived data creates opportunities for developing next-generation models of human interactions with the natural environment. [ABSTRACT FROM AUTHOR]

ABSTRACT The complex, widely dispersed, and cumulative environmental challenges currently facing society require holistic, transdisciplinary approaches to resolve. The concept of ecosystem services (ES) has become more widely accepted as a framework that fosters a broader systems perspective of sustainability and can make science more responsive to the needs of decision makers and the public. Successful transdisciplinary approaches require a common language and understanding of key concepts. Our primary objective is to encourage the ES research and policy communities to standardize terminology and definitions, to facilitate mutual understanding by multidisciplinary researchers and policy makers. As an important step toward standardization, we present a lexicon developed to inform ES research conducted by the US Environmental Protection Agency and its partners. We describe a straightforward conceptualization of the relationships among environmental decisions, their effects on ecological systems and the services they provide, and human well-being. This provides a framework for common understanding and use of ES terminology. We encourage challenges to these definitions and attempts to advance standardization of a lexicon in ways that might be more meaningful to our ultimate objective: informing environmental decisions in ways that promote the sustainability of the environment upon which we all depend. Integr Environ Assess Manag 2015;9999:XX-XX. Published 2015 SETAC. This article is a US Government work and, as such, is in the public domain in the USA. [ABSTRACT FROM AUTHOR]

Ecosystem services markets have become a popular topic among environmental policymakers and ecosystem protection advocates. Their proponents view markets as a promising new way to finance conservation of threatened ecosystems worldwide at a time when the need for additional protection seems especially critical. Their advocates in forestry promise that such markets will soon offer new financial opportunities to forest landowners to augment or even replace income from the sale of timber, thereby increasing financial incentives for landowners to retain land in forests. But what is the real promise in ecosystem services markets and what can realistically be achieved by their implementation? We provide an overview of how environmental markets work in theory and discuss several issues that influence how effective they can be. We conclude that the promise of ecosystem services markets greatly depends on the particular circumstances of program implementation, including what services are to be traded and whether they are amenable to trading, the ability to enact and enforce regulation sufficient to induce trading, and how expected program results compare with those likely to arise from other conservation policy approaches. [ABSTRACT FROM AUTHOR]

This article assesses the potential for incomplete definitions of resource use to influence estimates of nonuser willingness to pay (WTP), with an emphasis on resources for which an exhaustive set of uses may be difficult to characterize. The data are drawn from a stated preference analysis involving coastal wetland restoration. Results suggest that mechanisms used to distinguish users and nonusers of wetland services may influence estimates of nonuser WTP and that for some attributes, traditional distinctions between user and nonuser WTP may have arguable empirical justification. More broadly, results suggest that relationships among use behaviors and restoration values may be more complex than are typically assumed and point to limitations in methods frequently used to distinguish user and nonuser WTP. [ABSTRACT FROM AUTHOR]

This paper investigates differences in non-market farmland amenity values estimated using distinct methodologies, with a focus on the potential causes and policy implications. The paper compares farmland amenity values generated by a hedonic property value model and a contingent choice model, both estimated from data collected in the Peconic Estuary System of Suffolk County, NY. The analysis demonstrates that a combination of non-market valuation methodologies can provide policy insights not otherwise available to those relying on any single approach, and illustrates types of information that may be obscured by methodologies used in isolation. [ABSTRACT FROM AUTHOR]

This paper presents a summary of coastal recreation of New England residents from a survey conducted in the summer of 2018. The management of New England's coasts benefits from understanding the value of coastal recreation and the factors influencing recreational behavior. To address this need, the survey collected the geographic location and trip details for both day and overnight visits to any type of location on the New England coast for a range of water recreation activities, providing a comprehensive view of coastal recreation in the region. This paper summarizes participation in various types of water recreation activities, including beachgoing, swimming, fishing, wildlife viewing, boating, and other coastal recreation activities. We quantify demand for coastal recreation using participation and effort models that disaggregate the dimensions of recreational behavior over space and census demographics. This provides insights on the scale and location of beneficiaries of this important human use of the natural environment. We found that 71% of people in the surveyed region participate in coastal recreation and engage in a wide range of coastal recreation activities at varied locations from open-ocean-facing coastal beaches to sheltered, estuarine ways to water. On average, people in the region take 37 trips to recreate on the coast of New England in a year, spending 167 hours per year visiting recreation sites and 66 hours traveling. This adds up to nearly 170.5 million trips from our sample region, 772.4 million hours of recreation time, and 304.6 million hours of travel time. Distance to the coast, demographics, and recreational activities affect how often people go and how much time they spend on coastal recreation.

Each year, millions of Americans visit beaches for recreation, resulting in significant social welfare benefits and economic activity. Considering the high use of coastal beaches for recreation, closures due to bacterial contamination have the potential to greatly impact coastal visitors and communities. We used readily-available information to develop two transferable models that, together, provide estimates for the value of a beach day as well as the lost value due to a beach closure. We modeled visitation for beaches in Barnstable, Massachusetts on Cape Cod through panel regressions to predict visitation by type of day, for the season, and for lost visits when a closure was posted. We used a meta-analysis of existing studies conducted throughout the United States to estimate a consumer surplus value of a beach visit of around $22 for our study area, accounting for water quality at beaches by using past closure history. We applied this value through a benefit transfer to estimate the value of a beach day, and combined it with lost town revenue from parking to estimate losses in the event of a closure. The results indicate a high value for beaches as a public resource and show significant losses to the town when beaches are closed due to an exceedance in bacterial concentrations.