Evidence map›Paper›PMID 30237908›Full record

ArticleEcosphere (Washington, D.C)2017

Model application niche analysis: Assessing the transferability and generalizability of ecological models.

J B Moon, T H DeWitt, M N Errend, R J F Bruins, M E Kentula, S J Chamberlain, M S Fennessy, K J Naithani

Abstract read
In one paragraph

Article in Ecosphere (Washington, D.C), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Drivers and spatial structure of abiotic and biotic properties of lakes, wetlands, and streams at the national scale.Ecological applications : a publication of the Ecological Society of America · 2019
    Article
  5. Article
  6. 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

8 authors.

J B MoonOak Ridge Institute for Science and Education Postdoctoral Fellow, in residence at U.S. Environmental Protection Agency, National Health & Environmental Effects Laboratory, Western Ecology Division, Pacific Coast Ecology Branch, Newport, OR, U.S.A., 97365.
T H DeWittU.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, Western Ecology Division, Pacific Coast Ecology Branch, Newport, OR, U.S.A., 97365.
M N ErrendCollege of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, U.S.A.
R J F BruinsU.S. Environmental Protection Agency, National Exposure Research Laboratory, Systems Exposure Division, Cincinnati, OH, U.S.A., 45268.
M E KentulaU.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, Western Ecology Division, Corvallis, OR, U.S.A., 97333.
S J ChamberlainDepartment of Geography, Riparia, The Pennsylvania State University, University Park, PA, U.S.A., 16802.
M S FennessyDepartment of Biology, Kenyon College, Gambier, OH, U.S.A., 43022.
K J NaithaniDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, U.S.A., 72701.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The use of models by ecologists and environmental managers, to inform environmental management and decision-making, has grown exponentially in the past 50 years. Due to logistical, economical, and theoretical benefits, model users frequently transfer preexisting models to new sites where data are scarce. Modelers have made significant progress in understanding how to improve model generalizability during model development. However, models are always imperfect representations of systems and are constrained by the contextual frameworks used during their development. Thus, model users need better ways to evaluate the possibility of unintentional misapplication when transferring models to new sites. We propose a method of describing a model's application niche for use during the model selection process. Using this method, model users synthesize information from databases, past studies, and/or past model transfers to create model performance curves and heat maps. We demonstrated this method using an empirical model developed to predict the ecological condition of plant communities in riverine wetlands of the Appalachian Highland physiographic region, U.S.A. We assessed this model's transferability and generalizability across (1) riverine wetlands in the contiguous U.S.A., (2) wetland types in the Appalachian Highland physiographic region, and (3) wetland types in the contiguous U.S.A. With this methodology and a discussion of its critical steps, we set the stage for further inquiries into the development of consistent and transparent practices for model selection when transferring a model.

Indexed as

ecological modelsmodel application niche analysismodel generalizabilitymodel selectionmodel transferability

Identifiers

PMID30237908
PMCPMC6140329

What OpenQuestion holds

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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.