What question did this study set out to answer?

To evaluate whether specific leaf area or leaf dry matter content serves as a more reliable and robust trait for positioning plants along an axis of resource capture and use.

July 1, 1999New PhytologistOpen Access

Specific leaf area and leaf dry matter content as alternative predictors of plant strategies

View Full Paper

Ask AI

Bookmark

Authors

PWPeter J. WilsonUniversity of Limerick KTKen ThompsonUniversity of Guelph JHJohn HodgsonUniversity of Oxford

Discussion

Member takes

Implication

Comparative trait analysis reveals leaf dry matter content outperforms specific leaf area in predicting plant resource-use strategies, highlighting its value as a robust functional marker.

Key Points

To evaluate whether specific leaf area or leaf dry matter content serves as a more reliable and robust trait for positioning plants along an axis of resource capture and use.
Analyzed trait variability, inter-trait relationships, and predictive capacity using a large database of leaf traits.
Evaluated the impact of leaf thickness on measurement consistency across replicates.
Specific leaf area showed high variability between replicates and was substantially influenced by leaf thickness.
Leaf dry-matter content (tissue density) showed lower variability, was largely independent of leaf thickness, and was a superior predictor of resource capture, usage, and availability.
Generalizability of leaf dry-matter content in arid regions and among succulent species remains to be established.

Cite This Study

Wilson et al. (1999) studied this question.

synapsesocial.com/papers/6a19b8a3196cd56b09ea9f46 https://doi.org/10.1046/j.1469-8137.1999.00427.x

View Full Paper

Ask AI

Bookmark

July 1, 1999New PhytologistOpen Access

Specific leaf area and leaf dry matter content as alternative predictors of plant strategies

View Full Paper

Ask AI

Bookmark

Authors

PWPeter J. WilsonUniversity of Limerick KTKen ThompsonUniversity of Guelph JHJohn HodgsonUniversity of Oxford

Discussion

Member takes

Implication

Comparative trait analysis reveals leaf dry matter content outperforms specific leaf area in predicting plant resource-use strategies, highlighting its value as a robust functional marker.

Key Points

To evaluate whether specific leaf area or leaf dry matter content serves as a more reliable and robust trait for positioning plants along an axis of resource capture and use.
Analyzed trait variability, inter-trait relationships, and predictive capacity using a large database of leaf traits.
Evaluated the impact of leaf thickness on measurement consistency across replicates.
Specific leaf area showed high variability between replicates and was substantially influenced by leaf thickness.
Leaf dry-matter content (tissue density) showed lower variability, was largely independent of leaf thickness, and was a superior predictor of resource capture, usage, and availability.
Generalizability of leaf dry-matter content in arid regions and among succulent species remains to be established.

Cite This Study

Wilson et al. (1999) studied this question.

synapsesocial.com/papers/6a19b8a3196cd56b09ea9f46 https://doi.org/10.1046/j.1469-8137.1999.00427.x

Also Consider

Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark