title: Effects of increased nitrogen deposition and rotation length on long-term productivity of Cunninghamia lanceolata plantation in southern China.
abstract: Cunninghamia lanceolata (Lamb.) Hook. has been widely planted in subtropical China to meet increasing timber demands, leading to short-rotation practices that deplete soil nutrients. However, increased nitrogen (N) deposition offsets soil N depletion. While long-term experimental data investigating the coupled effects related to short rotation practices and increasing N deposition are scarce, applying model simulations may yield insights. In this study, the CenW3.1 model was validated and parameterized using data from pure C. lanceolata plantations. The model was then used to simulate various changes in long-term productivity. Results indicated that responses of productivity of C. lanceolata plantation to increased N deposition were more related to stand age than N addition, depending on the proportion and age of growing forests. Our results have also shown a rapid peak in growth and N dynamics. The peak is reached sooner and is higher under higher level of N deposition. Short rotation lengths had a greater effect on productivity and N dynamics than high N deposition levels. Productivity and N dynamics decreased as the rotation length decreased. Total productivity levels suggest that a 30-year rotation length maximizes productivity at the 4.9 kg N ha(-1) year(-1) deposition level. For a specific rotation length, higher N deposition levels resulted in greater overall ecosystem C and N storage, but this positive correlation tendency gradually slowed down with increasing N deposition levels. More pronounced differences in N deposition levels occurred as rotation length decreased. To sustain C. lanceolata plantation productivity without offsite detrimental N effects, the appropriate rotation length is about 20-30 years for N deposition levels below 50 kg N ha(-1) year(-1) and about 15-20 years for N deposition levels above 50 kg N ha(-1) year(-1). These results highlight the importance of assessing N effects on carbon management and the long-term productivity of forest ecosystems.
authors: Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, Hunan, People's Republic of China.
authors: Meifang
authors: M
authors: Zhao
authors: Wenhua
authors: W
authors: Xiang
authors: Dalun
authors: D
authors: Tian
authors: Xiangwen
authors: X
authors: Deng
authors: Zhihong
authors: Z
authors: Huang
authors: Xiaolu
authors: X
authors: Zhou
authors: Changhui
authors: C
authors: Peng
mesh_terms: D018533:Biomass; D002244:Carbon / Q000378:metabolism; D002681:China; D032486:Cunninghamia / Q000187:drug effects / Q000254:growth & development* / Q000378:metabolism; D017753:Ecosystem; D005308:Fertilizers / Q000706:statistics & numerical data; D016468:Forestry / Q000191:economics / Q000379:methods*; D016013:Likelihood Functions; D018803:Models, Economic; D009584:Nitrogen / Q000378:metabolism* / Q000494:pharmacology; D058458:Nitrogen Cycle; D010758:Phosphorus / Q000378:metabolism; D012987:Soil / Q000737:chemistry
chemical_list: D005308:Fertilizers; D012987:Soil; D010758:Phosphorus; D002244:Carbon; D009584:Nitrogen
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