Evidence map›Paper›PMID 35507247›Full record

ArticleAmbio2022

Leave no one behind: A case of ecosystem service supply equity in Singapore.

Andrea Law, L Roman Carrasco, Daniel R Richards, Shaikh Fairul Edros Ahmad Shaikh, Claudia L Y Tan, Le Thi Phuong Nghiem

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

Article in Ambio, 2022. 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
2.5field-weighted citation impact, top 11% 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, 25 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

6 authors at 2 institutions in 2 countries.

Andrea LawDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore. andrealaw@outlook.com.ORCID http://orcid.org/0000-0003-3359-3263
L Roman CarrascoDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
Daniel R RichardsNatural Capital Singapore, Singapore-ETH Centre, ETH Zürich, Singapore, 138602, Singapore.
Shaikh Fairul Edros Ahmad ShaikhDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
Claudia L Y TanDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
Le Thi Phuong NghiemDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
National University of Singapore · SGSingapore Institute of Technology · SG

Funding

National Research Foundation Singapore NRF2016-ITC001-013
6 · The paper itself

Abstract

Urban populations benefit greatly from the ecosystem services provided by urban green and blue spaces. While the equity of provision of and access to urban green and blue spaces has been widely explored, research on equity of ecosystem service provision is relatively scant. Using household level data, our study aims to assess the supply equity of five regulatory ecosystem services in Singapore. We employed linear mixed-effects models and Hot Spot Analysis to analyze their distributional equity across individual households of various demographic characteristics (horizontal inequality), and calculated Gini coefficient for the distribution of PM

Indexed as

EcosystemParks, RecreationalCitiesHumansSingaporeUrban PopulationCity design and planningEcosystem service equityEnvironmental justiceSustainable developmentUrban regulatory ecosystem services

Identifiers

PMID35507247
PMCPMC9378807
OpenAlexW4225408377

What OpenQuestion holds

Textmetadata
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.