Trait-Driven Spectral Signatures of Clonal Plant Networks

Thirty fragments of Maianthemum bifolium clonal networks were analyzed across a moisture gradient in coniferous forests. Patryk Czortek measured architectural traits and calculated 13 hyperspectral indices (350–2500 nm) to link functional traits with spectral signals. The results indicate spectral variability reflects the internal functional organization and allocation trade-offs within modular plant networks.

Use Cases

• Modeling resource redistribution within clonal networks based on architectural traits like rhizome length and ramet density.
• Analyzing carbon-water trade-offs in plant expansion using pigment indices (PSND, CRI) and hydration-sensitive metrics (SWIR, SIWSI).
• Investigating the impact of local competition on photochemical signals using indices like PRI and PVR.
• Linking leaf-level processes to whole-network functioning through spectral variability.
• Studying the influence of habitat type versus internal architecture on spectral metrics.

Strengths

• Includes 13 calculated hyperspectral indices covering wavelengths from 350–2500 nm.
• Analyzes 30 clonal network fragments across a defined environmental gradient.
• Architectural traits measured include leaf area, rhizome length, maximum distance between ramets, and number of knots.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and habitat bias inherent to the specific coniferous forest study sites.

Provenance

Source

figshare

Collection Method

Hyperspectral measurements and trait measurements conducted on clonal plant fragments.

Freshness

Last updated 2026-05-05 19:06:15; freshness should be verified.

Geography

Coniferous forest habitats along a moisture gradient.