Evidence map›Paper›PMID 37850033›Full record

ArticleEcological modelling2022

DEVELOPING INTEGRAL PROJECTION MODELS FOR ECOTOXICOLOGY.

N L Pollesch, K M Flynn, S M Kadlec, J A Swintek, S Raimondo, M A Etterson

Open access · greenAbstract read
In one paragraph

Article in Ecological modelling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Endogenous Lifecycle Models for Chemical Risk Assessment.Environmental science & technology · 2021
    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 3 institutions in 1 country.

N L PolleschUSEPA Office of Research and Development, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, USA 55804.
K M FlynnUSEPA Office of Research and Development, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, USA 55804.
S M KadlecUSEPA Office of Research and Development, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, USA 55804.
J A SwintekBadger Technical Services, Duluth, MN, USA 55804.
S RaimondoUSEPA Office of Research and Development, Gulf Ecosystem Measurement and Modeling Division, 1 Sabine Island Drive, Gulf Breeze, FL 32561 USA.
M A EttersonUSEPA Office of Research and Development, Great Lakes Toxicology and Ecology Division, 6201 Congdon Blvd, Duluth, MN, USA 55804.
Environmental Protection Agency · USGulf Marine Institute of Technology · USNorthern Power Systems (United States) · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

In many ecosystems, especially aquatic ecosystems, size plays a critical role in the factors that determine an individual's ability to survive and reproduce. In aquatic ecotoxicology, size informs both realized and potential acute and chronic effects of chemical exposure. This paper demonstrates how chemical and nonchemical effects on growth, survival, and reproduction can be linked to population-level dynamics using size-structured integral projection models (IPM). The modeling approach was developed with the goals and constraints of ecological risk assessors in mind, who are tasked with estimating the effects of chemical exposures to wildlife populations in a data-limited environment. The included case study is a collection of daily time-step IPMs parameterized for the life history and annual cycle of fathead minnows (

Indexed as

aquatic ecotoxicologyecological risk assessmentfathead minnow (Pimephales promelas)Integral projection modelIPMsize-structured population modeltoxicity translation

Identifiers

PMID37850033
PMCPMC10581395
OpenAlexW3217688945

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.