Evidence map›Paper›PMID 37717761›Full record

ArticleThe Science of the total environment2023

Mapping wild vascular plant species diversity in urban areas in California using crowdsourcing data by regression kriging: Examining socioeconomic disparities.

Mengyi Li, Shahir Masri, Chun-Huo Chiu, Yi Sun, Jun Wu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Science of the total environment, 2023. 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
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

5 authors at 2 institutions in 3 countries.

Mengyi LiDepartment of Disease Prevention, Program in Public Health, University of California, Irvine, CA, USA.
Shahir MasriDepartment of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
Chun-Huo ChiuDepartment of Agronomy, National Taiwan University, Taipei, Taiwan.
Yi SunDepartment of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jun WuDepartment of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA. Electronic address: junwu@hs.uci.edu.
University of California, Irvine · USNational Taiwan University · TW

Funding

Environmental and Social Health Determinants of Pregnancy Outcomes Related to COVID-19 PandemicR01ES030353 · NIEHS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GETAHUN, DARIOS, WU, JUN · 2019 to 2022
$3.2M
NIEHS NIH HHS R01 ES030353
6 · The paper itself

Abstract

Biodiversity is crucial for human health, but previous methods of measuring biodiversity require intensive resources and have other limitations. Crowdsourced datasets from citizen scientists offer a cost-effective solution for characterizing biodiversity on a large spatial scale. This study has two aims: 1) to generate fine-resolution plant species diversity maps in California urban areas using crowdsourced data and extrapolation methods; and 2) to examine their associations with sociodemographic factors and identify subpopulations with low biodiversity exposure. We used iNaturalist observations from 2019 to 2022 to calculate species diversity metrics by exploring the sampling completeness in a 5 × 5-km

Indexed as

CrowdsourcingTracheophytaBiodiversityChildHumansPlantsSocioeconomic Disparities in HealthSpatial AnalysisCitizen scienceSocio-economic statusUrban plant biodiversityVascular plant species diversity map

Identifiers

PMID37717761
PMCPMC10947671
OpenAlexW4386797681

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.