Evidence map›Paper›PMID 35150318›Full record

ArticleEnvironmental monitoring and assessment2022

Combining ecological, eco-cultural, and environmental justice parameters to create Eco-EJ indicators to monitor cultural and environmental justices for diverse communities around contaminated sites.

Joanna Burger, Michael Gochfeld, David S Kosson, Kevin G Brown, Jennifer Salisbury, Michael Greenberg, Christian Jeitner

Open access · greenAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.3field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
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  5. Ecological information and approaches needed for risk communication dialogs for acute or chronic environmental crises.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    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

7 authors at 2 institutions in 2 countries.

Joanna BurgerDivision of Life Sciences and Pinelands Research Station, Rutgers University, 604 Allison Road, NJ, 08854, Piscataway, USA. burger@biology.rutgers.edu.ORCID http://orcid.org/0000-0002-8877-2966
Michael GochfeldEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, NJ, 08854, USA.
David S KossonConsortium for Risk Evaluation With Stakeholder Participation (CRESP), Vanderbilt University and Rutgers University, Nashville, TN, USA.ORCID http://orcid.org/0000-0001-9898-456X
Kevin G BrownConsortium for Risk Evaluation With Stakeholder Participation (CRESP), Vanderbilt University and Rutgers University, Nashville, TN, USA.
Jennifer SalisburyConsortium for Risk Evaluation With Stakeholder Participation (CRESP), Vanderbilt University and Rutgers University, Nashville, TN, USA.
Michael GreenbergConsortium for Risk Evaluation With Stakeholder Participation (CRESP), Vanderbilt University and Rutgers University, Nashville, TN, USA.
Christian JeitnerDivision of Life Sciences and Pinelands Research Station, Rutgers University, 604 Allison Road, NJ, 08854, Piscataway, USA.
Vanderbilt University · USRutgers, The State University of New Jersey · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI PANOS G. GEORGOPOULOS · 1988 to 2026
$47.4M
NIEHS NIH HHS NIH-NIEHS P30ES005022NIEHS NIH HHS P30 ES005022Office of Legacy Management DE-FC01-06EW07053
6 · The paper itself

Abstract

Assessing environmental quality often requires selection of indicators that can be employed over large spatial scales and over long-time periods to assess the health and well-being of species, natural communities, and ecosystems, and to detect changes warranting intervention. Typically, the ecologic environment and the human environment are evaluated separately and selection of indicators and monitoring approaches are not integrated even though ecological indicators may also provide information on risk to human consumers from contaminants (e.g., eco-cultural indicators) or because of disease levels. This paper is a call for ecologists and managers to consider diverse cultural and environmental injustice disparities and health issues when selecting indicators for environmental assessment and monitoring. There is an opportunity for managers and community members to work together to preserve ecological and cultural resources and heritages. We propose a paradigm that selects indicators and monitoring approaches that lend themselves to the integration of human-diversity and uniqueness in the same manner that the selection of ecological indicators and monitoring approaches consider biological species diversity and uniqueness. The proposed paradigm builds on ecological risk assessment techniques, developing analogous endpoints for neighboring communities. For example, identification and protection of human communities, particularly culturally diverse and environmental justice communities, identification of contaminant corridors (e.g., through water or green corridors) into communities, and eco-monitoring of vulnerable communities are not routine at contaminated sites. Green corridors refers to a width of wild habitat (forest, grasslands) that connects other similar habitat paths (usually a corridor runs through an urban or suburban habitat). We coin the term Eco-EJ indicators for these endpoints, including examination of (1) unique cultural relationships to resources; (2) connectedness of on-site and off-site resources and habitats; (3) health of threatened, rare, and unique cultures and communities; and (4) linkages between ecological, eco-cultural, and public health for monitoring and assessment. We also propose that assessment and monitoring include these Eco-EJ indicators, especially for communities near facilities that have extensive chemical or radiological contamination.Developing these indicators to assess risk to culturally diverse and environmental justice communities would be an equivalent goal to reducing risk for significant ecological resources (e.g., endangered species, species of special concern). These Eco-EJ indicators are complementary to the usual human health-risk assessments, would include surveys of neighboring vulnerable communities, and require time and re-organization of current data and additional data collection at site boundaries and in adjacent communities, as well as rethinking the human component of indicators. This approach lends itself to addressing some diverse cultural and environmental justice issues with current indicator selection and biomonitoring, and helps identify specific hotspots of unique ecosystem risk and environmental justice community risk. We briefly discuss ecological and eco-cultural monitoring already on-going at three Department of Energy sites to illustrate how the addition of these indicators might work and add value to environmental management and to their relationships with surrounding communities. We recommend that managers of contaminated sites convene people from culturally diverse communities, environmental justice communities, local and federal government, Tribes, resource trustees, managers, and other stakeholders to develop appropriate site-specific indicators to address environmental inequities around contaminated facilities.

Indexed as

EcosystemEnvironmental JusticeEnvironmentEnvironmental MonitoringHumansRisk AssessmentAssessmentCultural and environmental justiceCultural diversityDepartment of energyEco-EJ indicatorsEnvironmental justice monitoringIndicatorsRisk

Identifiers

PMID35150318
PMCPMC9488455
OpenAlexW4211057879

What OpenQuestion holds

Textmetadata
LicenceTDM
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.