Evidence map›Paper›PMID 38846435›Full record

ArticleMethodsX2024

A simple method for mapping winter recreational fishing ecosystem services supply in lakes. A contribution to mapping freshwater ecosystem services.

Paulo Pereira, Marius Kalinauskas, Luis Valenca Pinto, Damia Barcelo, Wenwu Zhao, Miguel Inacio

Abstract read
In one paragraph

Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Paulo PereiraEnvironmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.
Marius KalinauskasEnvironmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.
Luis Valenca PintoEnvironmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.
Damia BarceloDepartment of Chemistry and Physics, University of Almería, Spain.
Wenwu ZhaoState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Miguel InacioEnvironmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although urban areas negatively impact the environment, they supply a wide range of ecosystem services (ES), mainly cultural ones. Recreation near urban green areas is widespread, including fishing. In northern latitudes, during the winter, lakes are frozen, and several urban dwellers practice ice fishing. Although this activity is well known, no attempts were made to assess and map winter recreational fishery ES supply in lakes. In this work, we developed a methodology to map this ES, taking an urban lake in Vilnius (Lithuania) as an example. A standardized protocol was developed using an unmanned aerial vehicle (proximal sensing), further georeferencing and correcting the gathered images, vectorizing the fishing ice holes, and mapping them using two different methods: Kernel and Point Density. The method developed in this work can be applied in northern areas to identify recreational fishing ES during the winter.•A novel method was developed to map winter recreational fishery ES supply in lakes;•High-resolution images were taken from an unmanned aerial vehicle to identify fishing ice holes in an urban lake.•The method maps a cultural ES, which is trendy in northern latitudes.

Indexed as

Fish holesKernal and point densityMappingRecreational winter fish mappingUnmanned aerial vehicleWinter

Identifiers

PMID38846435
PMCPMC11154703

What OpenQuestion holds

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LicenceCC BY-NC
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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.