Variations in C and N Storage and Use Strategies Between White Poplar Ploidy Levels After O3 Exposure Cessations
Miaomiao Wang1,2,3, Guolei Li1,2,3, Zhaozhong Feng4
1State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China.
Diploid Populus tomentosa plants exhibit a conservative strategy, better utilizing carbon and nitrogen reserves for future climate change adaptation compared to triploid plants. This highlights plasticity in resource management under environmental stress.
Area of Science:
- Plant Physiology
- Ecology
- Forest Science
Background:
- Carbon (C) and nitrogen (N) strategies vary among species and are influenced by environmental stress.
- Limited data exists on resource storage and remobilization within species post-stress.
Purpose of the Study:
- To investigate the growth and C/N reserve dynamics of diploid and triploid Populus tomentosa under ambient and elevated ozone (O3) conditions, and after stress cessation.
- To quantify resource remobilization and usage in the year following O3 exposure.
Main Methods:
- Growth assessment of diploid and triploid Populus tomentosa over two years.
- Labeling of C and N reserves at the end of the first year.
- Tracking of labeled reserves in the second year to quantify remobilization and usage under non-stress conditions.
Main Results:
- Ozone exposure reduced shoot growth and C reserves in both ploidy levels; triploid plants also showed reduced root growth and N reserves.
- In the second year, growth compensated, but triploid plants depleted reserves for growth and metabolism, while diploid plants used reserves to sustain metabolism, not growth.
- Diploid plants demonstrated a conservative strategy with greater plasticity in C and N reserve use.
Conclusions:
- Diploid Populus tomentosa, employing a conservative strategy, showed higher plasticity in C and N reserve utilization.
- This plasticity suggests diploid plants may perform better under future climate change scenarios.
- Understanding species-specific resource allocation is crucial for predicting forest responses to environmental change.
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