Leaf-level coordination principles propagate to the ecosystem scale

Area of Science:

• Ecology
• Ecosystem Science
• Plant Biology

Background:

• Plant traits exhibit trade-offs related to resource use at the leaf level.
• It remains unclear if these leaf-scale trade-offs influence ecosystem-level processes.
• Existing theories like the leaf economics spectrum and least-cost hypothesis describe plant trait coordination.

Purpose of the Study:

• To investigate if trait correlation patterns predicted by leaf- and plant-level theories propagate to the ecosystem level.
• To test the applicability of the leaf economics spectrum, global spectrum of plant form and function, and least-cost hypothesis at the ecosystem scale.
• To identify scale-emergent properties in ecosystem functional traits.

Main Methods:

• Utilized ecosystem functional properties from FLUXNET sites.
• Incorporated vegetation properties and community mean plant traits.
• Applied principal component analyses to examine trait correlations across scales.

Main Results:

• Confirmed that the leaf economics spectrum, global spectrum of plant form and function, and least-cost hypothesis all propagate to the ecosystem level.
• Demonstrated trait correlation patterns at the ecosystem scale mirroring those at finer scales.
• Identified evidence of additional scale-emergent properties beyond established theories.

Conclusions:

• Leaf- and plant-level trait coordination theories are applicable to ecosystem processes.
• Understanding ecosystem functional property coordination is crucial for improving dynamic vegetation models.
• This research provides empirical data to reduce uncertainties in climate change projections.