Evidence map›Paper›PMID 34588928›Full record

ArticleFrontiers in ecology and the environment2021

Iteratively forecasting biological invasions with PoPS and a little help from our friends.

Chris M Jones, Shannon Jones, Anna Petrasova, Vaclav Petras, Devon Gaydos, Megan M Skrip, Yu Takeuchi, Kevin Bigsby, Ross K Meentemeyer

Abstract read
In one paragraph

Article in Frontiers in ecology and the environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  3. Comprehensive assessment ofFrontiers in plant science · 2025
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  13. Evaluating online and tangible interfaces for engaging stakeholders in forecasting and control of biological invasions.Ecological applications : a publication of the Ecological Society of America · 2021
    Article
  14. 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.

Chris M JonesCenter for Geospatial Analytics North Carolina State University Raleigh NC.
Shannon JonesCenter for Geospatial Analytics North Carolina State University Raleigh NC.
Anna PetrasovaCenter for Geospatial Analytics North Carolina State University Raleigh NC.
Vaclav PetrasCenter for Geospatial Analytics North Carolina State University Raleigh NC.
Devon GaydosCenter for Geospatial Analytics North Carolina State University Raleigh NC.
Megan M SkripCenter for Geospatial Analytics North Carolina State University Raleigh NC.
Yu TakeuchiCenter for Integrated Pest Management North Carolina State University Raleigh NC.
Kevin BigsbyAPHIS USDA Raleigh NC.
Ross K MeentemeyerCenter for Geospatial Analytics North Carolina State University Raleigh NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological forecasting has vast potential to support environmental decision making with repeated, testable predictions across management-relevant timescales and locations. Yet resource managers rarely use co-designed forecasting systems or embed them in decision making. Although prediction of planned management outcomes is particularly important for biological invasions to optimize when and where resources should be allocated, spatial-temporal models of spread typically have not been openly shared, iteratively updated, or interactive to facilitate exploration of management actions. We describe a species-agnostic, open-source framework - called the Pest or Pathogen Spread (PoPS) Forecasting Platform - for co-designing near-term iterative forecasts of biological invasions. Two case studies are presented to demonstrate that iterative calibration yields higher forecast skill than using only the earliest-available data to predict future spread. The PoPS framework is a primary example of an ecological forecasting system that has been both scientifically improved and optimized for real-world decision making through sustained participation and use by management stakeholders.

Identifiers

PMID34588928
PMCPMC8453564

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.