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4 publications written by Derrien, Monika

Public Nature and Health for Homeless Populations: Professionals’ Perceptions of Contingent Human Benefits and Harms

Table 1. Characteristics of the overall homeless and unsheltered homeless population in Washington (statewide), and King and Snohomish counties (US Census, 2020; US HUD, 2022a; 2022b). Highlights Professionals observe benefits and harms of natural area use for homeless populations. Perceived harms include increased environmental exposures and social vulnerability. Perceived benefits include privacy, desired social conditions, and reduced stress. Relationships between nature and health were seen as variable and context dependent. This article investigates relationships between public nature and health for unsheltered homeless populations. It examines perceptions of health benefits and harms for people living in public natural areas including local, state, and national forests and parks in the Seattle metropolitan area (USA). Interviews with environmental, social service, and law enforcement professionals who regularly interact with this vulnerable population were conducted and thematically analyzed to understand perceptions of physical and mental health outcomes. Results show professionals’ perspectives on the health benefits and detriments of time spent in natural environments and the contextual factors perceived to influence health. Interviewees’ observations about the variability of personal circumstances and biophysical, social, and weather conditions encourage the nuanced consideration of how contingent therapeutic landscapes provide deeply needed benefits, but for a population with a diminished capacity to adapt when conditions change. We conclude with insights for future research that directly assesses homeless populations’ exposures and health outcomes of living in public natural areas.

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A Text-Messaging Chatbot to Support Outdoor Recreation Monitoring Through Community Science

Figure 1. Volunteer participation rates at sites grouped by parking lot size (small, medium, and large). Participation rates were statistically significantly higher at sites with small parking lots (a) compared to medium and large lots (b). There was no significant difference in participation rates between sites with large- and medium-sized parking lots (b). Public land managers depend on reliable and readily available data about outdoor recreation in parks and greenspaces. However, traditional recreation monitoring techniques including visitor surveying and counting cannot be implemented over large spatial and temporal scales, especially in remote and undeveloped settings where monitoring is costly. To fill these data gaps, and thereby inform decision-making, this study develops and tests the efficacy of a novel recreation monitoring technique that engages visitors in data collection using a chatbot and text-messages. Drawing on knowledge and methods from community science and crowdsourcing, we present a relatively low-cost and low-barrier approach to counting and characterizing recreational visits on public lands. In an 18-month pilot implementation on a national forest in Washington, USA, we found that crowdsourced data collected using the chatbot were consistent with results of controlled counts and in-person surveys. Furthermore, some sites received relatively high participation rates, up to 12% of recreating parties, regardless of cellular connectivity at the site. This study, which is the first to engage public land usersin community science using a text-messaging chatbot for the purposes of studying outdoor recreation, demonstrates the potential for technology to support new community science approaches that involve visitors in land stewardship and the development of recreation monitoring systems.

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Unsheltered Homelessness in Public Natural Areas Across an Urban-to-Wildland System: Institutional Perspectives

Figure 1. Conceptual relationships and interactions among social and ecological subsystems related to unsheltered homelessness in public natural areas. This article conceptualizes homelessness on public lands within a social-ecological systems framework, exploring dynamics in public natural areas in the Seattle metropolitan area (USA), a system with a compact urban-to-wildland gradient. While prior research has studied the dynamics of unsheltered homelessness within particular parks or cities—often in areas where camping is prohibited—our interview-based study makes integrated considerations of these dynamics across a range of jurisdictions. We present a thematic analysis that examines professionally diverse perspectives on the dynamics, stressors, and outcomes of public natural area usage by unsheltered individuals. We found a generally uncoordinated system in continual motion, in which considerable resources were expended for short-term, site-specific solutions that yielded system-wide detrimental outcomes perceived for unsheltered individuals, social service and environmental institutions, and ecosystem health. We discuss how improved institutional coordination and mutual understanding about intersecting governance systems could sustain better public land, public health, and social outcomes.

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Where Wilderness is Found: Evidence From 70,000 Trip Reports

Figure 1. The study area, showing the boundaries of the Mt. Baker-Snoqualmie National Forest, wilderness areas within it and the trailheads for the 470 hikes in the Washington Trails Association hiking guide that we included in the sample. Map created with the R programming language using the sf, ggspatial and cowplot packages (Dunnington, 2022; Pebesma & Bivand, 2023; R Core Team, 2022; Wilke, 2019). Data from USDA Forest Service, Washington Trails Association, Washington Department of Transportation, Environmental Systems Research Institute map service and Natural Earth, facilitated by the basemaps and rnaturalearth packages for R (ESRI, 2009; Massicotte & South, 2023; Schwalb-Willmann, 2022; USDA Forest Service, 2019; WSDOT, 2023; WTA, 2023c). 1. Outdoor recreation is an essential way many people engage with nature. The provision of public spaces for recreation intersects with conservation practices motivated by intertwined social and ecological values, such as strict practices associated with the concept of ‘wilderness’. Debates persist about how such concepts and management practices influence people’s recreation experiences. 2. Many US public land management agencies facilitate opportunities for outdoor recreation, relying on management frameworks and tools intended to foster specific experiential qualities. But these frameworks and tools assume simplistic relationships between settings and people’s experiences, and managers rarely assess these relationships. 3. This study uses a data set of nearly 70,000 crowdsourced trip reports from a hiking website to understand the qualities of visitors’ experiences on trails. We study the geographic distribution of experiential qualities commonly associated with US wilderness areas: aesthetics, awe, challenge, pristineness, quietness, solitude and timelessness. Using analytical methods that rely on machine learning and natural language processing, we identify these experiential qualities in trip reports from hundreds of routes, and use generalized linear models to analyse relationships between the frequency of each experiential quality and the route’s administrative, built, biophysical, geographic and social settings. 4. We find that four of the seven experiential qualities (aesthetics, awe, challenge and solitude) are commonly described in trip reports, each appearing in 15%–55% of manually coded reports. The extent to which setting characteristics explained variability in experiences differed, ranging from 34% of the variability in the proportion of trip reports describing aesthetics to 55% for awe. The setting characteristics associated with each experiential quality also differed, with characteristics such as trail mileage and summit destinations having stronger influences on experiential qualities than characteristics such as wilderness designation. 5. Synthesis and applications. Our findings suggest the need to consider more diverse variables in experience–setting relationships, develop more robust models to characterize those relationships and create new data sources to represent understudied variables. These advances would help empirically inform and improve frameworks and tools used for recreation and wilderness planning and monitoring, and potentially promote more responsive management to evolving social– ecological values.

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