Evidence map›Paper›PMID 30568860›Full record

ArticlePeerJ2018

Importance of biotic predictors in estimation of potential invasive areas: the example of the tortoise beetle

Marianna V P Simões, A Townsend Peterson

Abstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modeling the geographical distributions ofEcology and evolution · 2022
    Article
  6. Identification of risk areas forEcology and evolution · 2022
    Article
  7. 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

2 authors.

Marianna V P Simões *Biodiversity Institute, University of Kansas, Lawrence, KS, USA.
A Townsend Peterson *Biodiversity Institute, University of Kansas, Lawrence, KS, USA.ORCID 0000-0003-0243-2379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climatic variables have been the main predictors employed in ecological niche modeling and species distribution modeling, although biotic interactions are known to affect species' spatial distributions via mechanisms such as predation, competition, and mutualism. Biotic interactions can affect species' responses to abiotic environmental changes differently along environmental gradients, and abiotic environmental changes can likewise influence the nature of biotic interactions. Understanding whether and how to integrate variables at different scales in ecological niche models is essential to better estimate spatial distributions of species on macroecological scales and their responses to change. We report the leaf beetle

Indexed as

Akaike information criterionBayesian information criterionEcological niche modelingEltonian noise hypothesisHispaniolaInvasive speciesModel complexityTortoise beetles

Identifiers

PMID30568860
PMCPMC6286658

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.