Evidence map›Paper›PMID 34588705›Full record

ArticleThe Journal of applied ecology2021

Weighing the unknowns: Value of Information for biological and operational uncertainty in invasion management.

Shou-Li Li, Joseph Keller, Michael C Runge, Katriona Shea

Open access · hybridAbstract read
In one paragraph

Article in The Journal of applied ecology, 2021. 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
1.9field-weighted citation impact, top 16% 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, 10 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Shou-Li LiDepartment of Biology The Pennsylvania State University University Park PA USA.ORCID https://orcid.org/0000-0001-8536-8194
Joseph KellerDepartment of Biology The Pennsylvania State University University Park PA USA.ORCID https://orcid.org/0000-0001-7395-0582
Michael C RungeUS Geological Survey Eastern Ecological Science Center at the Patuxent Research Refuge Laurel MD USA.ORCID https://orcid.org/0000-0002-8081-536X
Katriona SheaDepartment of Biology The Pennsylvania State University University Park PA USA.ORCID https://orcid.org/0000-0002-7607-8248
Pennsylvania State University · USUnited States Geological Survey · US

Funding

Linking models and policy: Using active adaptive management for optimal control of disease outbreaksR01GM105247 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI FERRARI, MATTHEW · 2012 to 2016
$1.3M
NIGMS NIH HHS R01 GM105247
6 · The paper itself

Abstract

The management of biological invasions is a worldwide conservation priority. Unfortunately, decision-making on optimal invasion management can be impeded by lack of information about the biological processes that determine invader success (i.e. biological uncertainty) or by uncertainty about the effectiveness of candidate interventions (i.e. operational uncertainty). Concurrent assessment of both sources of uncertainty within the same framework can help to optimize control decisions.Here, we present a Value of Information (VoI) framework to simultaneously analyse the effects of biological and operational uncertainties on management outcomes. We demonstrate this approach with a case study: minimizing the long-term population growth of musk thistle

Indexed as

biocontrolbiological uncertaintyCarduus nutansdecision‐makinginvasion managementmatrix modeloperational uncertaintyValue of Information

Identifiers

PMID34588705
PMCPMC8453580
OpenAlexW3157752616

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.