Evidence map›Paper›PMID 36504635›Full record

ArticleEcological indicators2022

A conceptual approach to characterizing ecological suitability: Informing socio-ecological measures for restoration effectiveness.

Lisa M Smith, Erin M Reschke, Justin J Bousquin, James E Harvey, J Kevin Summers

Abstract read
In one paragraph

Article in Ecological indicators, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Water Chemistry and Habitat Size Predict Spawning Success in EndangeredAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Article
  4. 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.

Lisa M SmithUSEPA, Office of Research and Development, Gulf Ecosystem Measurement and Modeling Division, 1 Sabine Island Drive, Gulf Breeze, FL 32561, USA.
Erin M ReschkeUSEPA, Office of Research and Development, Gulf Ecosystem Measurement and Modeling Division, 1 Sabine Island Drive, Gulf Breeze, FL 32561, USA.
Justin J BousquinUSEPA, Office of Research and Development, Gulf Ecosystem Measurement and Modeling Division, 1 Sabine Island Drive, Gulf Breeze, FL 32561, USA.
James E HarveyUSEPA, Office of Research and Development, Gulf Ecosystem Measurement and Modeling Division, 1 Sabine Island Drive, Gulf Breeze, FL 32561, USA.
J Kevin SummersUSEPA, Office of Research and Development, Gulf Ecosystem Measurement and Modeling Division, 1 Sabine Island Drive, Gulf Breeze, FL 32561, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

A combination of ecological and socio-economic outcome indicators is essential for understanding and assessing the effectiveness of the remediation and restoration of degraded ecosystems and revitalizing communities that could benefit from these ecosystem management activities. In this paper, we propose and develop a conceptual approach to characterize ecological suitability that incorporates ecological attributes that support ecosystem structural diversity and functionality, stakeholder values and perceptions, and the benefits derived from ecosystem goods and services. A structured literature review was used to identify existing restoration frameworks and indicators to inform the conceptual foundation for characterizing ecological suitability. The structure of the conceptual approach primarily builds from ecological and social attributes in the

Indexed as

Conceptual approachEcological suitabilityEcosystem goods and servicesEcosystem managementEstuarine habitatsRestoration effectivenessStakeholders

Identifiers

PMID36504635
PMCPMC9727737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.