Evidence map›Paper›PMID 40617847›Full record

ArticleScientific data2025

The Agroforestry Species Switchboard, a global resource to explore information for 107,269 plant species.

Roeland Kindt, Ilyas Siddique, Ian Dawson, Innocent John, Fabio Pedercini, Jens-Peter Lillesø, Lars Graudal

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

7 authors.

Roeland KindtTrees and Forest Genetic Resources, and Biodiversity, CIFOR-ICRAF, Nairobi, Kenya. R.Kindt@cifor-icraf.org.ORCID 0000-0002-7672-0712
Ilyas SiddiqueCenter of Agrarian Sciences (CCA), Federal University of Santa Catarina (UFSC), Florianópolis, Brazil.
Ian DawsonTrees and Forest Genetic Resources, and Biodiversity, CIFOR-ICRAF, Nairobi, Kenya.
Innocent JohnTrees and Forest Genetic Resources, and Biodiversity, CIFOR-ICRAF, Nairobi, Kenya.
Fabio PederciniTrees and Forest Genetic Resources, and Biodiversity, CIFOR-ICRAF, Nairobi, Kenya.
Jens-Peter LillesøTrees and Forest Genetic Resources, and Biodiversity, CIFOR-ICRAF, Nairobi, Kenya.
Lars GraudalTrees and Forest Genetic Resources, and Biodiversity, CIFOR-ICRAF, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Agroforestry Species Switchboard is a comprehensive vascular plant database that guides users to information for a particular taxon from a global but fragmented set of resources. Via standardized species names, a user can rapidly determine which among the 59 contributing databases contain information for a species of interest, and understand how this information can be accessed. By providing taxonomic identifiers to World Flora Online, it is straightforward to check for changes in taxonomy. Among the 59 databases referenced, ten covered over 10,000 species, 20 between 1,000 and 10,000 species, and 22 between 100 and 1,000 species. The top ten plant families for species richness across covered databases were the Fabaceae (9,537 species), Asteraceae (6,041), Rubiaceae (4,812), Poaceae (3,947), Myrtaceae (3,544), Euphorbiaceae (2,689), Malvaceae (2,478), Rosaceae (2,374), Lauraceae (2,334) and Lamiaceae (2,107). Information included in the Switchboard distinguishes 54,812 tree-like species, covering most known tree species globally. Among its applications, the Switchboard can assist species selection for ecological restoration projects to synergize biodiversity and human well-being objectives.

Indexed as

Databases, FactualPlantsBiodiversityForestry

Identifiers

PMID40617847
PMCPMC12228783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.