Evidence map›Paper›PMID 37985851›Full record

ArticleScientific reports2023

Mobile phone data reveals spatiotemporal recreational patterns in conservation areas during the COVID pandemic.

Ji Yoon Kim, Takahiro Kubo, Jun Nishihiro

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Ji Yoon KimDepartment of Biological Science, Kunsan National University, Gunsan, 54150, Republic of Korea.
Takahiro KuboBiodiversity Division, National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, 305-8506, Japan. kubo.takahiro@nies.go.jp.
Jun NishihiroCenter for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan.

Funding

Environment Research and Technology Development Fund JP- MEERF20224003Japan Society for the Promotion of Science Overseas Research FellowshipsNational Research Foundation of Korea 2022R1C1C1009856
6 · The paper itself

Abstract

Understanding visitation patterns is crucial in developing effective conservation strategies for protected areas, as it serves as an indicator for operating an ecosystem management plan that balances biodiversity and ecosystem services intertwined with public health and social benefits. However, limited data availability during the COVID-19 pandemic has hindered the comprehensive understanding of temporal changes in realized cultural ecosystem services, particularly in recreational activities within these areas. Our study utilized GPS data from mobile phones to quantify visitor characteristics and their contribution to recreational ecosystem services in protected areas at a national scale during the COVID-19 pandemic. We estimated the pandemic's relative impact on visitor patterns at 98 visitor centers in national parks and Ramsar sites in Japan. The total number of visitors and travel distance in various sizes of protected areas decreased after the outbreak of COVID-19. The number of visitors in the protected areas displayed a quick recovery despite the increasing positive COVID-19 cases during the following summer. Post-pandemic, visitors showed a preference for less densely populated protected areas closer to their home range. Our findings partly suggest that protecting a diverse range of conservation areas along the urban gradient could be an effective strategy for maintaining the resilience of recreational services during a prolonged pandemic.

Indexed as

Cell PhoneCOVID-19Conservation of Natural ResourcesEcosystemHumansPandemicsParks, RecreationalRecreation

Identifiers

PMID37985851
PMCPMC10660657

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Registered trials

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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.