The abstract is read at the publisher; the summary is JClub's.
Seed traits show substantial intraspecific variability among mother plants and individual seeds within wild tree populations, so population-level macroenvironmental variables capture only part of observed variation.
- Why it matters: Trait-based predictions of plant responses to environmental change are limited because nested sources of variation and genetic drivers are not well separated or integrated across hierarchical levels.
- What they did: Using published literature and analyses of seed traits in wild tree populations, the roadmap proposes standardized, identity-retaining sampling and experiments plus integrated genetic, environmental, and phenotypic data to locate where variation is concentrated.
- The result: Coordinated approaches to disentangle hierarchical drivers and link seed traits to recruitment-stage performance should improve predictions of plant regeneration under environmental change by explicitly integrating ITV across nested levels.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.