Evidence map›Paper›PMID 35918367›Full record

ArticleScientific reports2022

Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns.

Chia-Hsien Lin, Yi-Huei Liu, Rong-Nan Huang, Chung-Chi Lin, Helen Kang-Huey Liu, Tzai-Hung Wen

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chia-Hsien LinDepartment of Geography, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, 10617, Taipei City, Taiwan, ROC.
Yi-Huei LiuDepartment of Geography, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, 10617, Taipei City, Taiwan, ROC.
Rong-Nan HuangDepartment of Entomology, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei City, 10617, Taiwan, ROC.
Chung-Chi LinDepartment of Biology, National Changhua University of Education, No. 1, Jinde Road, Changhua City, 50007, Taiwan, ROC.
Helen Kang-Huey LiuDepartment of Political Science, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei City, 10617, Taiwan, ROC.
Tzai-Hung WenDepartment of Geography, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, 10617, Taipei City, Taiwan, ROC. wenthung@ntu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research into geographical invasions of red imported fire ants (RIFAs) by anthropogenic disturbances has received much attention. However, little is known about how land-use change and the characteristics of roads with different land-use types are associated with the risk of RIFA successful invasion or remaining at the highest level of invasion (RIFA SIRH). Furthermore, it was often assumed in prior studies that the risk of RIFA SIRH had a linear association with the independent variables. However, a linear relationship may not reflect the actual circumstances. In this study, we applied linear and nonlinear approaches to assess how land-use types, distance from the nearest road, different land-use types, and spatial factors affect the risk of RIFA SIRH. The results showed that agricultural land, land for transportation usage, and areas that had undergone land-use change from 2014 to 2017 had greater odds of RIFA invasion than natural land cover. We also identified land for transportation usage and the area of land-use change from 2014 to 2017, had more than 60% of RIFA SIRH within 350 m and 150 m from the nearest road. This study provided important insights into RIFA invasions in an isolated island and the areas of control strategies implemented.

Indexed as

AntsAnimalsGeography

Identifiers

PMID35918367
PMCPMC9345980

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.