ABSTRACT

Ambient air pollution and rising global temperatures pose dual threats to the health and well-being of urban residents, in part, through dissuading them from engaging in healthy, outdoor physical activity. We leveraged a social-ecological systems (SES) framework to explain weather-dependent, outdoor recreation in the wildland-urban interface of Salt Lake City, Utah. Using 24-hour trail camera monitoring for 32 days, we measured trail use and ambient temperature. Additionally, we accessed particulate matter (PM_2.5) and ozone (O₃) data to assess the impact of air quality on outdoor recreation behaviors. Curvilinear regression analysis illustrated temperature predicted 45.9 percent of the variance in outdoor recreation use, while bivariate analyses show particulate matter and ozone also served as substantial predictors. These results further parameterize components of this complex SES, and help demonstrate the utility of trail cameras in collecting localized thermal measurements, along with temporal and activity-specific distributions in use.

摘要

环境空气污染和全球气温上升对城市居民的健康和福祉构成双重威胁，部分原因是阻止他们从事健康的户外体育活动。我们利用社会生态系统 (SES) 框架来解释犹他州盐湖城荒地-城市界面中依赖天气的户外休闲活动。使用 24 小时跟踪摄像机监控 32 天，我们测量了跟踪使用情况和环境温度。此外，我们还获取了颗粒物 (PM _2.5 ) 和臭氧 (O ₃) 数据来评估空气质量对户外休闲行为的影响。曲线回归分析表明，温度预测了户外娱乐使用方差的 45.9%，而双变量分析显示颗粒物和臭氧也可以作为重要的预测因子。这些结果进一步参数化了这种复杂 SES 的组件，并有助于证明跟踪相机在收集局部热测量值以及使用中的时间和活动特定分布方面的实用性。