SeedArc research goals

Seed germination plays a central role in plant regeneration, species distributions, and ecosystem dynamics. Yet despite decades of experimental work, most germination data remain scattered across publications, laboratories, and personal archives, limiting their reuse for large-scale synthesis.

SeedArc was created to address this gap by compiling primary seed germination data — the raw outputs of controlled experiments linked to geo-referenced seed collections — into a global, community-driven research platform.

By focusing on primary data rather than derived traits, SeedArc enables flexible, reproducible analyses across species, populations, biomes, and experimental designs.

Our goal is to build a living research infrastructure that supports comparative studies of seed germination at multiple biological scales, from intraspecific variability to global macroecological patterns.

Our research program focuses on four interconnected goals.

1. Mapping the global seed germination spectrum

We aim to describe how seed germination strategies vary across the world’s flora, identifying major axes of variation in germination probability, timing, synchrony, and dormancy.

By integrating SeedArc data with functional traits, phylogeny, and biome information, we seek to understand how germination strategies relate to plant form, life history, and ecological niches.

A central question is whether seed germination represents an independent axis of plant functional diversity.

2. Linking germination strategies to environmental gradients

SeedArc enables analyses of how germination responses are shaped by climate, disturbance regimes, and habitat conditions.

We investigate:

  • How temperature and moisture regimes constrain germination strategies
  • How germination traits vary across biomes and ecoregions
  • How past, current, and projected climates influence regeneration from seeds

These analyses provide insight into plant responses to environmental filtering and climate change.

3. Understanding intraspecific variability and evolutionary patterns

Because SeedArc stores data from individual seed lots and populations, it allows exploration of variation within species.

We examine:

  • The extent of intraspecific variability in germination traits
  • Environmental drivers of phenotypic plasticity and dormancy
  • Macro-evolutionary patterns of germination strategies across lineages

This supports research on adaptation, evolvability, and diversification.

4. Advancing reproducible and collaborative seed ecology

Beyond specific ecological questions, SeedArc addresses methodological challenges in germination research by:

  • Promoting standardized reporting of germination experiments
  • Supporting open-access derived datasets from all SeedArc projects
  • Encouraging contributor-led analyses and shared authorship
  • Developing workflows for large-scale synthesis of primary germination data

SeedArc is designed as an open research platform where data contributors can propose projects, participate in analyses, and lead publications.

From data to discovery

SeedArc research is organized through collaborative SeedArc projects initiated by contributors and coordination team members. Each project defines its scientific objectives, analytical workflow, and authorship following SeedArc data management rules.

Our long-term vision is to integrate seed germination data into global plant trait and biodiversity frameworks, advancing predictive models of plant regeneration under environmental change.