Researchers Reveal Correlations between Leaf Size, Hydraulic Architecture and Carbon Assimilation Capacity in Compound-leaved Tree Species

Release Time:2018-05-29 Big Small

Compound-leaf form has long been hypothesized to be responsible for higher photosynthetic and growth rates of compound-leaved tree species, but the underlying physiological mechanisms are largely unknown. 

 

Dr. SONG Jia and Prof. HAO Guangyou at the Institute of Applied Ecology (IAE), the Chinese Academy of Sciences (CAS) studied functional traits concerning xylem hydraulics and photosynthesis of five compound-leaved tree species in Changbai Mountain of northeastern China. 

 

The researchers found strong positive correlations between hydraulic conductivity, photosynthetic rate and compound leaf area, and both stem hydraulic conductivity and whole-shoot hydraulic conductance increased with the increase of compound leaf area. 

 

The results supported their hypotheses that larger compound leaf size would be associated with higher hydraulic conductance, increased efficiency of carbon assimilation and greater photosynthetic productivity.  

 

Compound-leaved tree species often have larger leaves than simple-leaved tree species. But the advantages associated with larger leaf size can be traded off by a greater susceptibility to freeze-thaw induced hydraulic dysfunction.  

 

In other words, the study suggests that, compared with simple-leaved tree species, compound-leaved tree species' competitive advantages to capture light and transport water are more likely to achieve under favorable habitat conditions.  

 

These findings may contribute to a better utilization of this important type of trees in forestry. 

 

The study, entitled "Correlation between leaf size and hydraulic architecture in five compound-leaved tree species of a temperate forest in NE China" has been published in a paper in Forest Ecology and Management.  

 

This study is financially supported by the National Key Research and Development Program of China, the National Natural Science Foundation of China. 

Email: yueqian@iae.ac.cn

Publication Name: SONG Jia et al.