Evidence map›Paper›PMID 36761828›Full record

ArticleEcological indicators2022

A biological condition gradient for coral reefs in the US Caribbean Territories: Part I. Coral narrative rules.

Deborah L Santavy, Susan K Jackson, Benjamin Jessup, Jeroen Gerritsen, Caroline Rogers, William S Fisher, Ernesto Weil, Alina Szmant, David Cuevas-Miranda, Brian K Walker and 12 more

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Mitigation ofApplied and environmental microbiology · 2024
    Article
  4. Article
  5. 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

22 authors at 14 institutions in 3 countries.

Deborah L SantavyUS Environmental Protection Agency (US EPA), Office of Research and Development (ORD), Center for Environmental, Measurement and Modeling (CEMM), Gulf Ecosystem Measurement and Modeling Division (GEMMD), Gulf Breeze, FL 32561, USA.
Susan K JacksonUS EPA, Office of Water, Washington, DC, USA.
Benjamin JessupTetra Tech, Inc., Montpelier, VT, USA.
Jeroen GerritsenTetra Tech, Inc., Montpelier, VT, USA.
Caroline RogersU.S. Geological Survey, Wetland and Aquatic Research Center, St. John, VI, USA.
William S FisherUS Environmental Protection Agency (US EPA), Office of Research and Development (ORD), Center for Environmental, Measurement and Modeling (CEMM), Gulf Ecosystem Measurement and Modeling Division (GEMMD), Gulf Breeze, FL 32561, USA.
Ernesto WeilUniversity of Puerto Rico, Mayaguez, PR, USA.
Alina SzmantUniversity of North Carolina, Wilmington, NC, USA.
David Cuevas-MirandaUS EPA, Region 2, Guaynabo, PR, USA.
Brian K WalkerNova Southeastern University, Ft. Lauderdale, FL, USA.
Christopher JeffreyCSS-Inc., Fairfax, VA, USA.
Patricia BradleyTetra Tech, Inc., Montpelier, VT, USA.
David BallantineSmithsonian Institution, National Museum of Natural History, Wash. DC, USA.
Loretta RobersonUniversity of Puerto Rico, Rio Piedras, PR, USA.
Hector Ruiz-TorresUniversity of Puerto Rico, Rio Piedras, PR, USA.
Brandi ToddUS EPA, Region 6, Dallas, TX, USA.
Tyler SmithUniversity of Virgin Islands, St. Thomas, VI, USA.
Randy ClarkNOAA NCCOS, Marine Spatial Ecology Division, Biogeography Branch, Stennis Space Center, MS, USA.
Ernesto DiazDPNR Puerto Rico, EQB, San Juan, PR, USA.
Jorge Bauzá-OrtegaSan Juan Bay National Estuary Program, San Juan, PR, USA.
Christina HorstmannOak Ridge Institute for Science Education Fellow, US EPA, ORD, CEMM, GEMMD, Gulf Breeze, FL 32561 USA.
Sandy RaimondoUS Environmental Protection Agency (US EPA), Office of Research and Development (ORD), Center for Environmental, Measurement and Modeling (CEMM), Gulf Ecosystem Measurement and Modeling Division (GEMMD), Gulf Breeze, FL 32561, USA.
Environmental Protection Agency · USTetra Tech (United States) · USUniversity of Puerto Rico at Río Piedras · PRDistrict of Columbia Water and Sewer Authority · USFairfax-Falls Church Community Services Board · USGulf Marine Institute of Technology · USNova Southeastern University · USSmithsonian Institution · USStennis Space Center · USTampa Bay Estuary Program · USUnited States Geological Survey · USUniversity of North Carolina Wilmington · USUniversity of Puerto Rico-Mayaguez · PRUniversity of the Virgin Islands · VI

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

As coral reef condition and sustainability continue to decline worldwide, losses of critical habitat and their ecosystem services have generated an urgency to understand and communicate reef response to management actions, environmental contamination, and natural disasters. Increasingly, coral reef protection and restoration programs emphasize the need for robust assessment tools for protecting high-quality waters and establishing conservation goals. Of equal importance is the need to communicate assessment results to stakeholders, beneficiaries, and the public so that environmental consequences of decisions are understood. The Biological Condition (BCG) model provides a structure to evaluate the condition of a coral reef in increments of change along a gradient of human disturbance. Communication of incremental change, regardless of direction, is important for decision makers and the public to better understand what is gained or lost depending on what actions are taken. We developed a narrative (qualitative) Biological Condition Gradient (BCG) from the consensus of a diverse expert panel to provide a framework for coral reefs in US Caribbean Territories. The model uses narrative descriptions of biological attributes for benthic organisms to evaluate reefs relative to undisturbed or minimally disturbed conditions. Using expert elicitation, narrative decision rules were proposed and deliberated to discriminate among six levels of change along a gradient of increasing anthropogenic stress. Narrative rules for each of the BCG levels are presented to facilitate the evaluation of benthic communities in coral reefs and provide specific narrative features to detect changes in coral reef condition and biological integrity. The BCG model can be used in the absence of numeric, or quantitative metrics, to evaluate actions that may encroach on coral reef ecosystems, manage endangered species habitat, and develop and implement management plans for marine protected areas, watersheds, and coastal zones. The narrative BCG model is a defensible model and communication tool that translates scientific results so the nontechnical person can understand and support both regulatory and non-regulatory water quality and natural resource programs.

Indexed as

BiocriteriaBiological Condition Gradient (BCG)Biological integrityCoral reef conditionCoral reef protectionNarrative rules

Identifiers

PMID36761828
PMCPMC9904394
OpenAlexW4220824318

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.