Evidence map›Paper›PMID 31538699›Full record

ArticleIntegrated environmental assessment and management2020

Guidance for Developing Amphibian Population Models for Ecological Risk Assessment.

Jill Awkerman, Sandy Raimondo, Amelie Schmolke, Nika Galic, Pamela Rueda-Cediel, Katherine Kapo, Chiara Accolla, Maxime Vaugeois, Valery Forbes

Open access · greenAbstract read
In one paragraph

Article in Integrated environmental assessment and management, 2020. 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
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Estimating dermal contact soil exposure for amphibians.Integrated environmental assessment and management · 2023
    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

9 authors at 4 institutions in 1 country.

Jill AwkermanGulf Ecology Division, US Environmental Protection Agency, Gulf Breeze, Florida.
Sandy RaimondoGulf Ecology Division, US Environmental Protection Agency, Gulf Breeze, Florida.
Amelie SchmolkeWaterborne Environmental Inc, Leesburg, Virginia, USA.
Nika GalicSyngenta Crop Protection, LLC, Greensboro, North Carolina, USA.
Pamela Rueda-CedielCollege of Biological Sciences, University of Minnesota, St Paul, Minnesota, USA.
Katherine KapoWaterborne Environmental Inc, Leesburg, Virginia, USA.
Chiara AccollaCollege of Biological Sciences, University of Minnesota, St Paul, Minnesota, USA.
Maxime VaugeoisCollege of Biological Sciences, University of Minnesota, St Paul, Minnesota, USA.
Valery ForbesCollege of Biological Sciences, University of Minnesota, St Paul, Minnesota, USA.
University of Minnesota · USGulf Marine Institute of Technology · USWaterborne Environmental (United States) · USSyngenta (United States) · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Despite widespread acceptance of the utility of population modeling and advocacy of this approach for a more ecologically relevant perspective, it is not routinely incorporated in ecological risk assessments (ERA). A systematic framework for situation-specific model development is one of the major challenges to broadly adopting population models in ERA. As risk assessors confront the multitude of species and chemicals requiring evaluation, an adaptable stepwise guide for model parameterization would facilitate this process. Additional guidance on interpretation of model output and evaluating uncertainty would further contribute to establishing consensus on good modeling practices. We build on previous work that created a framework and decision guide for developing population models for ERA by focusing on data types, model structure, and extrinsic stressors relevant to anuran amphibians. Anurans have a unique life cycle with varying habitat requirements and high phenotypic plasticity. These species belong to the amphibian class, which is facing global population decline in large part due to anthropogenic stressors, including chemicals. We synthesize information from databases and literature relevant to amphibian risks to identify traits that influence exposure likelihood, inherent sensitivity, population vulnerability, and environmental constraints. We link these concerns with relevant population modeling methods and structure in order to evaluate pesticide effects with appropriate scale and parameterization. A standardized population modeling approach, with additional guidance for anuran ERA, offers an example method for quantifying population risks and evaluating long-term impacts of chemical stressors to populations. Integr Environ Assess Manag 2020;16:223-233. © 2019 SETAC.

Indexed as

AmphibiansEnvironmental MonitoringPesticidesRisk AssessmentAnimalsEcologyPopulation DynamicsPesticidesAmphibianEcological risk assessmentPopulation modelTrait-based

Identifiers

PMID31538699
PMCPMC8425957
OpenAlexW2973417346

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.