Evidence map›Paper›PMID 40860729›Full record

ArticleFrontiers in plant science2025

Synergistic use of satellite, legacy, and

Lilly Theresa Schell, Emma Evers, Sarah Schönbrodt-Stitt, Konstantin Müller, Maximilian Merzdorf, Drew Arthur Bantlin, Insa Otte

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Lilly Theresa SchellDepartment of Remote Sensing, Institute of Geography and Geology, University of Würzburg, Würzburg, Germany.
Emma EversConservation and Research Department, Akagera National Park, Kayonza, Eastern Province, Rwanda.
Sarah Schönbrodt-StittDepartment of Remote Sensing, Institute of Geography and Geology, University of Würzburg, Würzburg, Germany.
Konstantin MüllerDepartment of Remote Sensing, Institute of Geography and Geology, University of Würzburg, Würzburg, Germany.
Maximilian MerzdorfDepartment of Remote Sensing, Institute of Geography and Geology, University of Würzburg, Würzburg, Germany.
Drew Arthur BantlinConservation and Research Department, Akagera National Park, Kayonza, Eastern Province, Rwanda.
Insa OtteDepartment of Remote Sensing, Institute of Geography and Geology, University of Würzburg, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling species distributions is critical for managing invasive alien species, as reliable information on habitat suitability is essential for effective conservation and rehabilitation strategies. In this study, we modeled the suitable habitat and potential distribution of the notorious invader

Indexed as

google earth engineinvasive speciesLantana camararandom forestspecies distribution

Identifiers

PMID40860729
PMCPMC12375682

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.