Geographical variation in flower colour of a food-deceptive orchid reflects local pollinator preferences

This study identifies a role for a geographical mosaic of nectar plants and pollinators in the divergence of floral traits in D. porrecta. Differences in flower colour among populations of this orchid species are strongly correlated with pollinator foraging preferences.

Authors

Institutions

Publication Details

Journal
Annals of Botany
Published
2025-04-17
DOI
https://doi.org/10.1093/aob/mcaf074
Citations
6
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
18.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geographical variation in flower colour of a food-deceptive orchid reflects local pollinator preferences

Steven D. Johnson, Ethan Newman, Nina Hobbhahn, Timotheüs van der Niet et al.
6 citations
Annals of Botany
Plant and animal studies
18.16
article

Geographical variation in flower colour of a food-deceptive orchid reflects local pollinator preferences

Steven D. Johnson, Ethan Newman, Nina Hobbhahn, Timotheüs van der Niet, Bruce Anderson
article en
6 citations

Abstract

This study identifies a role for a geographical mosaic of nectar plants and pollinators in the divergence of floral traits in D. porrecta. Differences in flower colour among populations of this orchid species are strongly correlated with pollinator foraging preferences.

Annals of BotanyVol. 136(3)
Rhodes University (ZA), Stellenbosch University (ZA), University of KwaZulu-Natal (ZA)
Life in Land
Openalex Percentile: Top 1%
Plant and animal studies
18.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.