Evidence map›Paper›PMID 30563191›Full record

ArticleInsects2018

Comparisons of Citizen Science Data-Gathering Approaches to Evaluate Urban Butterfly Diversity.

Kathleen L Prudic, Jeffrey C Oliver, Brian V Brown, Elizabeth C Long

Open access · goldAbstract read
In one paragraph

Article in Insects, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 35 citations in OpenAlex.

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  10. "Flora of Russia" on iNaturalist: a dataset.Biodiversity data journal · 2020
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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

4 authors at 3 institutions in 1 country.

Kathleen L PrudicEntomology, University of Arizona, Tucson, AZ 85721, USA. klprudic@email.arizona.edu.ORCID 0000-0001-8242-7769
Jeffrey C OliverOffice of Digital Innovation and Stewardship, University of Arizona, Tucson, AZ 85721, USA. jcoliver@email.arizona.edu.ORCID 0000-0003-2160-1086
Brian V BrownDepartment of Entomology, Natural History Museum of Los Angeles County, Los Angeles, CA 90007, USA. bbrown@nhm.org.ORCID 0000-0001-6367-6057
Elizabeth C LongDepartment of Entomology, Natural History Museum of Los Angeles County, Los Angeles, CA 90007, USA. elong@mohonkpreserve.org.ORCID 0000-0002-7410-5548
University of Arizona · USNatural History Museum of Los Angeles County · USUniversity of California, Los Angeles · US

Funding

Natural History Museum of Los Angeles 0000001
6 · The paper itself

Abstract

By 2030, ten percent of earth's landmass will be occupied by cities. Urban environments can be home to many plants and animals, but surveying and estimating biodiversity in these spaces is complicated by a heterogeneous built environment where access and landscaping are highly variable due to human activity. Citizen science approaches may be the best way to assess urban biodiversity, but little is known about their relative effectiveness and efficiency. Here, we compare three techniques for acquiring data on butterfly (Lepidoptera: Rhopalocera) species richness: trained volunteer Pollard walks, Malaise trapping with expert identification, and crowd-sourced iNaturalist observations. A total of 30 butterfly species were observed; 27 (90%) were recorded by Pollard walk observers, 18 (60%) were found in Malaise traps, and 22 (73%) were reported by iNaturalist observers. Pollard walks reported the highest butterfly species richness, followed by iNaturalist and then Malaise traps during the four-month time period. Pollard walks also had significantly higher species diversity than Malaise traps.

Indexed as

BioSCANCaliforniaiNaturalistLepidopteraLos AngelesMalaise trapPollard walk

Identifiers

PMID30563191
PMCPMC6316785
OpenAlexW2902314529

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.