Support for management actions to protect night sky quality: Insights from visitors to state and national park units in the U.S.

Light pollution is a global phenomenon where anthropogenic light sources continue to grow unabated, affecting both social and ecological systems. This is leaving parks and protected areas as some of the last vestiges of naturally dark environments for protecting views of the night sky. Yet, even parks and protected areas have outdoor lighting. Alternative lighting practices are needed to reduce or prevent light pollution from within parks. However, making parks darker may not be desirable for some visitors if they believe it will reduce navigability, safety, or restrict how they recreate (e.g., requiring the use of red-light flashlights after dark and before dawn). How visitors will respond to alternative lighting practices that park managers can implement is still unknown. We used an on-site intercept survey at nine state and national park units in Utah, U.S., to investigate nighttime visitors' support or opposition to management actions to protect night sky quality and their interest in learning about topics related to night skies. Further, this study also segmented visitors into two groups: those 'dependent' on the dark sky as a resource and those whose activities did not depend on a dark sky. Defining what a 'dark sky dependent' visitor is, which has yet to be done in the literature, is a fundamental step to furthering night sky research and management efforts. Across nine parks and protected areas, 62% of nighttime visitors participated in dark sky dependent activities. Findings indicate broad support for management actions designed to improve night sky quality, with between 74% and 89% of all visitors supporting seven different management actions. There was stronger support from dark sky dependent visitors for some elements of alternative lighting practices, but there was still strong support for those who do not participate in dark sky dependent outdoor recreation. Additionally, between 57% and 75% of visitors were interested in learning more about topics related to night skies. This research indicates most visitors would welcome actions to preserve the quality of the rapidly dwindling naturally dark experiences offered by parks and protected areas.

The social-ecological system of the Kenai River Fishery (Alaska, USA).

We present a collaboratively developed social-ecological model of the Kenai River Fishery. We developed the model through iterative interviews with stakeholders throughout the Kenai Peninsula using a novel participatory Fuzzy Cognitive Mapping process grounded in Ostrom's social-ecological systems framework. Individual social-ecological models, developed one-on-one with stakeholders, were combined into a single aggregated model representing the system's structure and function. We validated this aggregated model through subsequent interviews with stakeholders and focused literature reviews. The result is a model that can: 1) illustrate the breadth and interconnectedness of the Kenai River Fishery's social-ecological system; 2) be used to facilitate discussions around management of the fishery; and 3) be used to explore the components and interactions that move the system toward or away from sustainability. Using the model, we identify how the nature of salmon (migratory) and their habitat (large and unpredictable) leads to uncertainty about effective management strategies. This uncertainty, in addition to a large and diverse set of resource users, creates conflicting management goals that ultimately limit the governance system in making decisions that might increase the sustainability of the fishery.

Social media reveal ecoregional variation in how weather influences visitor behavior in U.S. National Park Service units.

Daily weather affects total visitation to parks and protected areas, as well as visitors' experiences. However, it is unknown if and how visitors change their spatial behavior within a park due to daily weather conditions. We investigated the impact of daily maximum temperature and precipitation on summer visitation patterns within 110 U.S. National Park Service units. We connected 489,061 geotagged Flickr photos to daily weather, as well as visitors' elevation and distance to amenities (i.e., roads, waterbodies, parking areas, and buildings). We compared visitor behavior on cold, average, and hot days, and on days with precipitation compared to days without precipitation, across fourteen ecoregions within the continental U.S. Our results suggest daily weather impacts where visitors go within parks, and the effect of weather differs substantially by ecoregion. In most ecoregions, visitors stayed closer to infrastructure on rainy days. Temperature also affects visitors' spatial behavior within parks, but there was not a consistent trend across ecoregions. Importantly, parks in some ecoregions contain more microclimates than others, which may allow visitors to adapt to unfavorable conditions. These findings suggest visitors' spatial behavior in parks may change in the future due to the increasing frequency of hot summer days.

Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review.

Social media are being increasingly used to inform visitor use management in parks and protected areas. We review the state of the scientific literature to understand the ways social media has been, and can be, used to measure visitation, spatial patterns of use, and visitors' experiences in parks and protected areas. Geotagged social media are a good proxy for actual visitation; however, the correlations observed by previous studies between social media and other sources of visitation data vary substantially. Most studies using social media to measure visitation aggregate data across many years, with very few testing the use of social media as a visitation proxy at smaller temporal scales. No studies have tested the use of social media to estimate visitation in near real-time. Studies have used geotags and GPS tracks to understand spatial patterns of where visitors travel within parks, and how that may relate to other variables (e.g., infrastructure), or differ by visitor type. Researchers have also found the text content, photograph content, and geotags from social media posts useful to understand aspects of visitors' experiences, such as behaviors, preferences, and sentiment. The most cited concern with using social media is that this data may not be representative of all park users. Collectively, this body of research demonstrates a broad range of applications for social media. We synthesize our findings by identifying gaps and opportunities for future research and presenting a set of best practices for using social media in parks and protected areas.

Forecasting water demand across a rapidly urbanizing region.

Urban growth and climate change together complicate planning efforts meant to adapt to increasingly scarce water supplies. Several studies have independently examined the impacts of urban planning and climate change on water demand, but little attention has been given to their combined impact. Here we forecast urban water demand using a Geographically Weighted Regression model informed by socio-economic, environmental and landscape pattern metrics. The purpose of our study is to evaluate how future scenarios of population densities and climate warming will jointly affect water demand across two rapidly growing U.S. states (North Carolina and South Carolina). Our forecasts indicate that regional water demand by 2065 will increase by 37%-383% relative to the baseline in 2010, across all scenarios of change. Our results show future water demand will increase under rising temperatures, but could be ameliorated by policies that promote higher density development and urban infill. These water-efficient land use policies show a 5% regional reduction in water demand and up to 25% reduction locally for counties with the highest expected population growth by 2065. For rural counties experiencing depopulation, the land use policies we considered are insufficient to significantly reduce water demand. For expanding communities seeking to increase their adaptive capacity to changing socio-environmental conditions, our framework can assist in developing sustainable solutions.

Attendance trends threaten future operations of America's state park systems.

This research examines how the operating expenditures of America's state park systems will be affected by a continued growth in attendance consistent with observed trends as well as potential climate futures. We construct a longitudinal panel dataset (1984-2017) describing the operations and characteristics of all 50 state park systems. These data are analyzed with a time-varying stochastic frontier model. Estimates from the model are used to forecast operating expenditures to midcentury under four different scenarios. The first scenario assumes annual attendance within each state park system will continue to grow (or decline) at the same average annual rate that it has over the period of observation. The subsequent scenarios assume statewide annual mean temperatures will increase following the RCP2.6, RCP4.5, and RCP8.5 greenhouse gas emissions trajectories. Operating expenditures under a scenario where annual growth in attendance stays consistent with observed trends are forecasted to increase 756% by midcentury; this is an order of magnitude larger than projected expenditures under any of the climate scenarios. The future climate change scenarios yielded increases in operating expenditures between 25% (RCP2.6) and 61% (RCP8.5) by 2050. Attendance is the single largest factor affecting the operations of America's state park systems, dwarfing the influence of climate change, which is significant and nontrivial. The future of America's state park systems will depend upon increased support from state legislatures, as well as management actions that generate funds for the maintenance of existing infrastructure and facilities, and the provisioning of services.

An Integrative Review of Empirical Research on Perceptions and Behaviors Related to Prescribed Burning and Wildfire in the United States.

Social science research from a variety of disciplines has generated a collective understanding of how individuals prepare for, and respond to, the risks associated with prescribed burning and wildfire. We provide a systematic compilation, review, and quantification of dominant trends in this literature by collecting all empirical research conducted within the U.S. that has addressed perceptions and behaviors surrounding various aspects of prescribed burning and wildfire. We reviewed and quantified this literature using four thematic categories covering: (1) the theory and methods that have been used in previous research; (2) the psychosocial aspects of prescribed burning and wildfire that have been studied; (3) the biophysical characteristics of the fires which have been studied; and (4) the types of fire and management approaches that have been examined. Our integrative review builds on previous literature reviews on the subject by offering new insight on the dominant trends, underutilized approaches, and under-studied topics within each thematic category. For example, we found that a select set of theories (e.g., Protection Motivation Theory, Attribution Theory, etc.) and approaches (e.g., mixed-methods) have only been used sparingly in previous research, even though these theories and approaches can produce insightful results that can readily be implemented by fire-management professionals and decision makers. By identifying trends and gaps in the literature across the thematic categories, we were able to answer four questions that address how future research can make the greatest contribution to our understanding of perceptions and behaviors related to prescribed burning and wildfire.

Continental-scale quantification of landscape values using social media data.

Individuals, communities, and societies ascribe a diverse array of values to landscapes. These values are shaped by the aesthetic, cultural, and recreational benefits and services provided by those landscapes. However, across the globe, processes such as urbanization, agricultural intensification, and abandonment are threatening landscape integrity, altering the personally meaningful connections people have toward specific places. Existing methods used to study landscape values, such as social surveys, are poorly suited to capture dynamic landscape-scale processes across large geographic extents. Social media data, by comparison, can be used to indirectly measure and identify valuable features of landscapes at a regional, continental, and perhaps even worldwide scale. We evaluate the usefulness of different social media platforms-Panoramio, Flickr, and Instagram-and quantify landscape values at a continental scale. We find Panoramio, Flickr, and Instagram data can be used to quantify landscape values, with features of Instagram being especially suitable due to its relatively large population of users and its functional ability of allowing users to attach personally meaningful comments and hashtags to their uploaded images. Although Panoramio, Flickr, and Instagram have different user profiles, our analysis revealed similar patterns of landscape values across Europe across the three platforms. We also found variables describing accessibility, population density, income, mountainous terrain, or proximity to water explained a significant portion of observed variation across data from the different platforms. Social media data can be used to extend our understanding of how and where individuals ascribe value to landscapes across diverse social, political, and ecological boundaries.

Immersive Virtual Environment Technology to Supplement Environmental Perception, Preference and Behavior Research: A Review with Applications.

Immersive virtual environment (IVE) technology offers a wide range of potential benefits to research focused on understanding how individuals perceive and respond to built and natural environments. In an effort to broaden awareness and use of IVE technology in perception, preference and behavior research, this review paper describes how IVE technology can be used to complement more traditional methods commonly applied in public health research. The paper also describes a relatively simple workflow for creating and displaying 360° virtual environments of built and natural settings and presents two freely-available and customizable applications that scientists from a variety of disciplines, including public health, can use to advance their research into human preferences, perceptions and behaviors related to built and natural settings.

Determinants of Responsible Hiking Behavior: Results from a Stated Choice Experiment.

This research examined the determinants of responsible hiking behavior through a lab-based experiment in which two managerial factors believed to influence individuals' behavior (the presentation of an educational message and the method of displaying degraded trail conditions) were varied across four experimental treatments in a 2 × 2 between subjects factorial design. The effect of trail degradation type (muddiness and erosion) and severity (moderate or severe) of trail degradation were also examined within each of the 4 treatment groups. Analyses revealed neither the educational message nor the method of displaying the image had a consistent and expected impact on individuals' behavioral intentions. In fact, participants who viewed the educational message were more likely to indicate they would hike off the trail. The effects of both trail degradation type and severity were consistent and significant with muddiness and more severe levels of degradation having a greater influence on individuals' intent to hike on the edge of or off the trail. The analyses also revealed both gender and hiking frequency had significant effects on behavioral intentions. Female participants were more likely to indicate they would turn around than males when they encountered degraded trail sections. Women were also less likely to indicate they would hike off the trail than men. Collectively, these findings highlight a variety of ways recreation resource managers can more efficiently inform recreationists about the impacts of off-trail hiking and prioritize trail management needs.

Motivations for recreating on farmlands, private forests, and state or national parks.

This study explores the importance of different motivations to visit three types of recreational settings--farms, private forests, and state or national parks. Data were collected via a mail-back questionnaire administered to a stratified random sample of households in Missouri (USA). Descriptive and inferential statistics reveal both similarities and discontinuities in motivations for visiting farms, private forests, and state or national parks for recreation. Being with family, viewing natural scenery, and enjoying the smells and sounds of nature were all highly important motivations for visiting the three types of settings. However, all 15 motivations examined were perceived to be significantly more important for visits to state or national parks than to farms or private forests. Findings suggest that individuals are more strongly motivated to recreate at state and national parks relative to farmlands or forests. Post hoc paired t tests comparing motivations between both agricultural settings (farms and private forests) revealed significant differences in eight different recreational motivations. Individuals tended to place more importance on the ability to use equipment and test their skills when considering recreating on private forests. Conversely, social motivations (e.g., doing something with the family) were more important when individuals were considering recreating on farmland. Collectively, the findings suggest individuals expect distinctly different outcomes from their visits to farmlands, private forests, or state or national parks. Consequently, all three types of recreational settings have competitive advantages that their managers could capitalize on when making decisions about how to attract new visitors or produce the most desirable experiences for current recreationists.

Ecological settings and state economies as factor inputs in the provision of outdoor recreation.

State parks play a substantial role in the provision of outdoor recreation opportunities within the United States. Park operators must make crucial decisions in how they allocate capital expenditures, labor, and parkland to maintain recreation opportunities. Their decisions are influenced, in part, by the ecological characteristics of their state's park system as well as the vitality of their state's economy. In this research, we incorporate the characteristics of states' ecosystems and their local economies into a formal production analysis of the states' park systems from the years 1986 to 2011. Our analysis revealed all three factors of production were positive and inelastic. Expenditures on labor had the largest effect on both park utilization and operational expenditures. Our analysis also found a large degree of variability in the effects of ecological characteristics on both utilization and operating expenditures. Parkland utilization and operational expenditures were more elastic in areas such as Oceania and Mediterranean California relative to other ecological regions. These findings lead us to conclude that state park operators will experience variable levels of difficulty in both accommodating increasing demands for recreation from state parks and maintaining the existing quality of outdoor recreation provided within their system.

A nationwide production analysis of state park attendance in the United States.

This study examined the production of U.S. states' park visits from 1984 to 2010 by state. In specifying the production equation in terms of the influences of the states' parklands, labor, and capital investments on the annual attendances, we found that state governments will experience an ongoing need for more labor to maintain their parklands if attendance is to increase in the future. Results also indicated that more capital expenditures are not likely to increase park utilization rates. Post-estimation procedures involved the application of the response residuals to identify the capacity utilization rates of the states' park systems over the past 27 years. Past utilization rates revealed operators met or exceeded capacity utilization expectations from 1984 through 1990. However, beginning in 1991, the annual mean utilization rate for the nation's supply of states' parks signaled a trend toward excess capacity. Our forecast revealed the mean utilizations over the next three years will vary between 90% and 95%. Post-estimation procedures also examined the relationship between state park management orientations (towards either public-lands preservation or recreational development) and projected annual capacity utilization rates. Results indicate that the quantity of added facilities to broaden their appeal to the public (i.e., a recreation orientation) was not important in explaining utilization capacities. However, an orientation toward public-lands preservation related significantly to greater utilization rates. In our view, the public will continue to accept current cost structures for continued operations of the states' parks on the compelling need for access to outdoor recreation to contribute to the visitor well-being.

Perceptions of community benefits from two Wild and Scenic Rivers.

Wild and Scenic Rivers provide a host of psychological, social, ecological, and economic benefits to local communities. In this study, we use data collected from recreational users of two Wild and Scenic Rivers to examine perceptions of the benefits provided by the rivers to local communities. Our purposes are (1) to determine if similar perceptions of community benefits exist across the two rivers, (2) to determine if individuals' proximity to the rivers are related to the benefits they perceive, (3) to determine if individuals' prior recreation experience on the river is related to variations in perceived benefits, (4) to determine if users' sociodemographic characteristics are related to perceived community benefits, and (5) to determine if the influence of these characteristics on perceived community benefits is similar across the two resource areas. Perceived benefits were found to be analogous across both rivers as individuals consistently ranked ecological/affective benefits as well as tangible benefits similarly. Recreationists living further from the river ranked ecological and affective benefits as significantly less important than those individuals living closer to the river. Women perceived the community benefits produced by the resource areas to be significantly more important when compared to men. Significant relationships were also found between perceived benefits and recreationists' previous use of the river, their age, and their level of education. With the exception of resource proximity and prior use history, the effects of user characteristics on perceived community benefits were not statistically different across the two rivers. These findings imply similar patterns of perceived community benefits exist across distinct resource areas and that the relationships between user characteristics and perceived benefits are also similar across the study rivers.