Evidence map›Paper›PMID 39282110›Full record

ArticlePeerJ2024

Advancements in monitoring: a comparison of traditional and application-based tools for measuring outdoor recreation.

Talia Vilalta Capdevila, Brynn A McLellan, Annie Loosen, Anne Forshner, Karine Pigeon, Aerin L Jacob, Pamela Wright, Libby Ehlers

Abstract readComparative Study
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Talia Vilalta CapdevilaYellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada.
Brynn A McLellanYellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada.
Annie LoosenYellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada.
Anne ForshnerBanff, Yoho and Kootenay National Parks, Parks Canada, Lake Louise, Alberta, Canada.
Karine PigeonYellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada.
Aerin L JacobYellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada.
Pamela WrightUniversity of Northern British Columbia, Prince George, British Columbia, Canada.
Libby EhlersYellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outdoor recreation has experienced a boom in recent years and continues to grow. While outdoor recreation provides wide-ranging benefits to human well-being, there are growing concerns about the sustainability of recreation with the increased pressures placed on ecological systems and visitor experiences. These concerns emphasize the need for managers to access accurate and timely recreation data at scales that match the growing extent of the recreation footprint. Here, we compare spatial and temporal patterns of winter and summer recreation using traditional (trail cameras, infrared counters, aerial surveys, participatory mapping) and application-based tools (Strava Metro, Strava Global Heatmap, Wikiloc) across the Columbia and Canadian Rocky Mountains of western Canada. We demonstrate how recreation use can be estimated using traditional and application-based tools, although their accuracy and utility varies across space, season and activity type. We found that trail cameras and infrared counters captured similar broad-scale patterns in count estimates of pedestrians and all recreation activities. Aerial surveys captured areas with low recreation intensity and participatory mapping captured coarser information on the intensity and extent of recreation across large spatial and temporal scales. Application-based data provided detailed spatiotemporal information on recreation use, but datasets were biased towards specific activities. Strava Metro data was more suited for capturing broad-scale spatial patterns in biking than pedestrian recreation. Application-based data should be supplemented with data from traditional tools to identify biases in data and fill in data gaps. We provide a comparison of each tool for measuring recreation use, highlight each tools' strengths and limitations and applications to address real-world monitoring and management scenarios. Our research contributes towards a better understanding of which tool, or combinations of tools, to use that can expand the rigor and scope of recreation research. These findings support decision-making to mitigate pressures on wildlife and their habitats while allowing for high-quality recreation experiences.

Indexed as

RecreationCanadaHumansSeasonsSpatio-Temporal AnalysisAerial surveysApp-based dataCamera trapsParticipatory mappingRecreation monitoringTrail countersUser-generated dataVolunteered geographic informationWildlife and recreation management

Identifiers

PMID39282110
PMCPMC11397128

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.