Evidence map›Paper›PMID 41377734›Full record

ArticleEcology and evolution2025

Invasion Potential of

Daniel Melese, Mulatu Ayenew Aligaz, Ahmed Seid Ahmed

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Invasion Potential ofEcology and evolution · 2025
    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

3 authors.

Daniel MeleseDepartment of Plant Biology and Biodiversity Management Addis Ababa University Addis Ababa Ethiopia.ORCID https://orcid.org/0009-0000-3692-748X
Mulatu Ayenew AligazDepartment of Zoological Sciences Addis Ababa University Addis Ababa Ethiopia.ORCID https://orcid.org/0009-0007-4042-4536
Ahmed Seid AhmedDepartment of Zoological Sciences Addis Ababa University Addis Ababa Ethiopia.ORCID https://orcid.org/0000-0001-9024-4532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of invasive species presents a significant global challenge that threatens natural habitats, agricultural productivity, and biodiversity. In Ethiopia, Calotropis procera and Xanthium strumarium are aggressively invasive noxious weeds whose expansion is intensified by human activities and climate change. This study aimed to model the current and future distribution and habitat suitability of these species across Ethiopia to support effective management strategies. An ensemble modelling approach was employed, combining seven algorithms that include both machine learning and regression-based methods, under various settings with ten replications. Predictions were made for current environmental conditions as well as future climate scenarios projected for the 2050s and 2070s. The results showed that human footprint and bioclimatic variables were the most influential predictors of habitat suitability for both species. Under current conditions, approximately 47,652 and 45,901 km

Indexed as

anthropoceneclimate changeensemble modelinvasive speciesmanagement

Identifiers

PMID41377734
PMCPMC12686969

What Socratic 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 Socratic graph.