Quantifying impacts of recreation on elk (Cervus canadensis) using novel modeling approaches DOI Creative Commons
Michael Procko, Samantha G. Winder, Spencer A. Wood

и другие.

Ecosphere, Год журнала: 2024, Номер 15(6)

Опубликована: Июнь 1, 2024

Abstract Recreation is known to impact wildlife by displacing and sometimes contributing the extirpation of sensitive species, underscoring a need for policies that balance recreation. This especially pressing when Indigenous rights necessitate ecological integrity sustainable populations throughout traditional territories. In Cascade Mountain Range Washington, USA, harvest elk ( Cervus canadensis ) declining, concurrent with increases in Yet, nature magnitude effects recreation on are unknown, which prevents land managers from developing informed regarding management. Here, we use camera traps alongside visitation models incorporate geolocated social media quantify impacts western Washington. Random forest show detection rates relatively constant at low levels (0–11 people/day), but decrease over 41% 12 22 people/day. Activity overlap analysis also revealed shift toward increased evening activity cameras higher‐than‐average (∆ = 0.70, 95% CI 0.61–0.88; χ 2 7.79, p 0.02). Generalized additive modeling confirms more crepuscular or nocturnal locations than 10 hiker detections per day. We compare methods estimating recreation, showing model‐based estimates informative camera‐based estimates. indicates recreational intensity along immediate vicinity trails may be better predictor specific trails. stress importance examining across multiple spatiotemporal scales underscore how novel approaches can provide valuable tools develop management strategies wildlife. hope our work serve as strong example collaboration between universities, state agencies, sovereign nations broader goal mitigating negative

Язык: Английский

Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use DOI Creative Commons
Andrea Ghermandi, Johannes Langemeyer, Derek Van Berkel

и другие.

One Earth, Год журнала: 2023, Номер 6(3), С. 236 - 250

Опубликована: Март 1, 2023

Язык: Английский

Процитировано

56
Nature dependent tourism – Combining big data and local knowledge DOI Creative Commons
Mark Spalding, Kate Longley-Wood, Valerie Pietsch McNulty

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 337, С. 117696 - 117696

Опубликована: Март 17, 2023

The ability to quantify nature's value for tourism has significant implications natural resource management and sustainable development policy. This is especially true in the Eastern Caribbean, where many countries are embracing concept of Blue Economy. utilization user-generated content (UGC) understand tourist activities preferences, including use artificial intelligence machine learning approaches, remains at early stages application. work describes a new effort which modelled mapped multiple nature dependent sectors industry across five small island nations. It makes broad UGC, while acknowledging challenges strengthening approach with substantive input, correction, modification from local experts. Our measuring nature-dependency practical scalable, producing data, maps statistics sufficient detail veracity support management, marine spatial planning, wider promotion Economy framework.

Язык: Английский

Процитировано

20
Using social media data and machine learning to map recreational ecosystem services DOI Creative Commons
Charity Nyelele, Catherine Keske, Min Gon Chung

и другие.

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110606 - 110606

Опубликована: Авг. 5, 2023

Crowdsourced geotagged social media data and machine learning approaches have emerged as promising tools for mapping ecosystem services, especially cultural services that are difficult to assess. Here, we use recreation show how data, learning, spatial analysis techniques can improve our understanding of human-nature interactions the recreational services. We extracted 80,500 photographs taken in non-urban areas Tahoe Central Sierra Initiative project area California between 2005 2019 were posted photo sharing application Flickr used these a proxy visits area. Automated image content was identify objects concepts uncover types nature experiences important visitors. Additionally, variable importance, Random Forest technique, examine environmental landscape variables drive create classification model predicts potential entire based on variables. The automated identified 1,239 unique labels linked recreation, with mountains, hills, rocks being most prominent features (22%). Our indicates vegetation cover, land elevation, smoke days, major drivers interest visitors predicted 25.9% has support visits. Most protected (77.8%), predominantly conifer forests (66%) within national forest boundaries, National (37.6%). These results vary across landscapes illustrate need improved determine provision different places. provides novel insights into various ways be powerful components service research they hold great monitoring informing management interventions provision, places limited traditional onsite visitation data.

Язык: Английский

Процитировано

18
The digitalization of outdoor recreation: Global perspectives on the opportunities and challenges for protected area management DOI Creative Commons
Max Mangold, Arne Schwietering, Julia Zink

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 352, С. 120108 - 120108

Опубликована: Янв. 20, 2024

The increasing popularity of digital media among protected area visitors poses challenges to management. It alters the way move and behave in area, potentially disturbance nature, it might also affect their expectation prior visit reflection on it. Simultaneously, allow managers develop implement new methods visitor management (DVM). This may help avoid conflicts ensure compliance with rules regulations have much further reaching positive consequences. Based an online survey across 131 parks 46 countries covering all continents, this study examined for first time how areas view DVM. results showed that majority park see digitalization as opportunity, 91% agreeing enables them reach larger numbers provide real-time information. advantage integrating into monitoring was recognized. However, some perceived problematic, 42% increases load sensitive 40% leads more off-trail activity. A clear respondents (61–91%) saw proposed DVM effective or very effective. Accordingly, 70% envisioned using future. Our findings suggest effects outdoor recreation are largely similar globe, no significant influence economic status region. They offer insights potential management, but its main obstacles. Adoption will be facilitated by staff funding Additionally, knowledge exchange between can ease successful implementation tools.

Язык: Английский

Процитировано

9
What is “big data” and how should we use it? The role of large datasets, secondary data, and associated analysis techniques in outdoor recreation research DOI
Dani T. Dagan, Emily J. Wilkins

Journal of Outdoor Recreation and Tourism, Год журнала: 2023, Номер 44, С. 100668 - 100668

Опубликована: Июль 18, 2023

Язык: Английский

Процитировано

16
Use of social media data, online reviews and wikipedia page views to measure visitation patterns of outdoor attractions DOI Creative Commons
INNOCENSIA OWUOR, Hartwig H. Hochmair, Gernot Paulus

и другие.

Journal of Outdoor Recreation and Tourism, Год журнала: 2023, Номер 44, С. 100681 - 100681

Опубликована: Авг. 19, 2023

This study explores the suitability of activity counts extracted from social media platforms (Twitter, Flickr), review portals (TripAdvisor, Google Maps) and Wikipedia article views to model official visitor at selected outdoor attractions in Florida (U.S.) Carinthia (Austria). It applies correlation analysis, multiple regression, time series analysis identify which these user-generated content (UGC) sources their combinations best match monthly count patterns for an period three years (2019–2021). With travel activities being severely hampered during 2020 due COVID-19 pandemic, also aims analyze extent reduced are reflected respective UGC sources. Results show that number Maps reviews combined with pageviews explain variability Ordinary Least Squares (OLS) regression both areas. While comparison was conducted counts, data some can reflect shorter term fluctuations. Time detected a seasonality 12 months pageviews, reviews, Austria clearly distinct summer season. As opposed this, Florida, climate facilitates all-year round park visitations, periodograms yielded different frequencies counts. A short-term drop evident spring 2020, whereas is only somewhat but not actual still closed April. research modeling attractions. combination several has advantage it help mitigate known limitations individual sources, such as sparsity geodata, retrieval restrictions, sociodemographic bias, varying popularity across regions. revealed better fit than using any alone. Data-rich offer daily or weekly provide more refined temporal resolution typical often limited aggregations.

Язык: Английский

Процитировано

15
Analyzing national parks visitor activities using geotagged social media photos DOI
Ruihong Huang

Journal of Environmental Management, Год журнала: 2023, Номер 330, С. 117191 - 117191

Опубликована: Янв. 7, 2023

Язык: Английский

Процитировано

14
Digitalization of planning and navigating recreational outdoor activities DOI Creative Commons
Arne Schwietering, Manuel J. Steinbauer, Max Mangold

и другие.

German Journal of Exercise and Sport Research, Год журнала: 2023, Номер 54(1), С. 107 - 114

Опубликована: Дек. 18, 2023

Abstract Effective visitor management requires reaching visitors with fitting information at the right time through channels they already use. To identify effective communication channels, 410 recreationists were interviewed in north-east Bavaria to determine how plan and navigate their outdoor activities. Interviews conducted onsite (38%) as well digital media (62%). The study found that majority of people use tools when planning (86%) navigating (73%) Additionally, most (84%) more than one tool for activities, while almost half (48%) only navigation. choice was largely influenced by planned activity. Trail running (93%), mountain biking hiking mostly using a main tool, sport climbing mainly an analog (57%), 87% climbers printed guidebooks. Age had smaller effect on choice, 90% 30-year-olds activities compared 73% 60-year-olds. demonstrates importance diversity used need be considered tourism nature conservation.

Язык: Английский

Процитировано

14
Valuing Recreation in Italy's Protected Areas Using Spatial Big Data DOI
Michael Sinclair, Andrea Ghermandi, Giovanni Signorello

и другие.

Ecological Economics, Год журнала: 2022, Номер 200, С. 107526 - 107526

Опубликована: Июнь 20, 2022

Язык: Английский

Процитировано

23
Digital indicators of interest in natural world heritage sites DOI Creative Commons
Martin Falk, Eva Hagsten

Journal of Environmental Management, Год журнала: 2022, Номер 324, С. 116250 - 116250

Опубликована: Сен. 24, 2022

Due to their remoteness or boundless nature, activities at Natural Heritage Sites are difficult monitor. In this study, two digital measures of the interest in Word compared: one ex ante based on number Wikipedia page views site and another post derived from actual visitation as measured by Instagram posts. The entire UNESCO database, which includes 248 World is linked 2.8 million views, 58 posts Köppen extreme climate zone categories. Quantile regressions reveal that main association common for indicators risk losing its inscription. Presence Danger list associated with reduced a site, particularly top quartile views. Years since inscription also an important explanatory variable, especially quartile. selection criterion outstanding beauty only relates Climate mainly variable upper quartile, where sites most attention found. negatively Africa, Arab countries Latin America. Elevation, size area well kind all variables not significant. There significant correlation between outcome coefficient 0.5. While relate clearly visits, considered possible leading indicator future site.

Язык: Английский

Процитировано

22