Evidence map›Paper›PMID 36741432›Full record

ArticlePNAS nexus2022

Big data from a popular app reveals that fishing creates superhighways for aquatic invaders.

Jessica L Weir, Kirsten Vacura, Jay Bagga, Adam Berland, Kieran Hyder, Christian Skov, Johan Attby, Paul A Venturelli

Erratum issuedAbstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jessica L WeirDepartment of Biology, Ball State University, Muncie 47306, IN, USA.ORCID https://orcid.org/0000-0002-2506-2203
Kirsten VacuraDepartment of Biology, Ball State University, Muncie 47306, IN, USA.
Jay BaggaDepartment of Computer Science, Ball State University, Muncie, IN 47306, USA.ORCID https://orcid.org/0000-0002-9721-6558
Adam BerlandDepartment of Geography, Ball State University, Muncie, IN 47306, USA.ORCID https://orcid.org/0000-0003-0473-6405
Kieran HyderCenter for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft, Suffolk NR33 0HT, UK.ORCID https://orcid.org/0000-0003-1428-5679
Christian SkovNational Institute of Aquatic Resources, Technical University of Denmark, Silkeborg 8600, Denmark.ORCID https://orcid.org/0000-0002-8547-6520
Johan AttbyFishbrain, 118 27 Stockholm, Sweden.
Paul A VenturelliDepartment of Biology, Ball State University, Muncie 47306, IN, USA.ORCID https://orcid.org/0000-0002-7329-7517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human activities are the leading cause of biological invasions that cause ecologic and economic damage around the world. Aquatic invasive species (AIS) are often spread by recreational anglers who visit two or more bodies of water within a short time frame. Movement data from anglers are, therefore, critical to predicting, preventing, and monitoring the spread of AIS. However, the lack of broad-scale movement data has restricted efforts to large and popular lakes or small geographic extents. Here, we show that recreational fishing apps are an abundant, convenient, and relatively comprehensive source of "big" movement data across the contiguous United States. Our analyses revealed a dense network of angler movements that was dramatically more interconnected and extensive than the network that is formed naturally by rivers and streams. Short-distanced movements by anglers combined to form invasion superhighways that spanned the contiguous United States. We also identified possible invasion fronts and invaded hub lakes that may be superspreaders for two relatively common aquatic invaders. Our results provide unique insight into the national network through which AIS may be spread, increase opportunities for interjurisdictional coordination that is essential to addressing the problem of AIS, and highlight the important role that anglers can play in providing accurate data and preventing invasions. The advantages of mobile devices as both sources of data and a means of engaging the public in their shared responsibility to prevent invasions are probably general to all forms of tourism and recreation that contribute to the spread of invasive species.

Indexed as

big datahuman dimensionsinvasive speciesnetwork

Identifiers

PMID36741432
PMCPMC9896924

What OpenQuestion holds

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LicenceCC BY
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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.