Lengthening vegetation carbon turnover time across China's forests
Rong Ge1, Xiaoli Ren2, Honglin He3
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Institute of Natural Resources and Environmental Audits, School of National Audit, Nanjing Audit University, Nanjing 211815, China.
Vegetation carbon turnover time is increasing in China's young forests, unlike older ones in Europe and North America. This trend, driven by faster growth than decomposition, impacts carbon sequestration and climate mitigation efforts.
Area of Science:
- Terrestrial Ecosystem Science
- Climate Change Research
- Forest Ecology
Background:
- Vegetation carbon turnover time (τveg) is a key factor in terrestrial carbon cycle uncertainty.
- Mature forests in Europe and North America show decreased τveg due to climate change.
- The trend of τveg in younger forests remains unclear.
Purpose of the Study:
- To investigate the temporal trend of vegetation carbon turnover time (τveg) in China's predominantly young forests.
- To understand the drivers of τveg dynamics in young forest ecosystems.
- To inform land surface models and forest management strategies.
Main Methods:
- Utilized multisource data-model assimilation.
- Employed long-term network observations across China's forests.
- Analyzed forest age structure and environmental factors like nitrogen deposition and CO2 levels.
Main Results:
- Revealed a significant overall increase in τveg across China's forests (0.025 ± 0.002 years per year).
- Observed that in young forests with high nitrogen deposition, rising CO2 accelerates growth, increasing τveg.
- Demonstrated that young forests sequester carbon more effectively due to slower decomposition relative to growth.
Conclusions:
- Forest age significantly influences τveg dynamics, with younger forests showing increasing turnover times.
- Accurate assessment of terrestrial carbon cycling and climate mitigation requires incorporating age-dependent τveg into land surface models.
- Findings offer insights for forest management to enhance carbon retention and sequestration by optimizing stand dynamics.
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