Wang Yeqiao, Tu Haochuan, Zheng Jingjing, Li Xiongjie, Wang Guibin, Guo Jing
State Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Plants (Basel). 2025 Jun 8;14(12):1758. doi: 10.3390/plants14121758.
The transformation of degraded stands represents an essential strategy for enhancing stand productivity and optimizing site adaptability. This study examined four typical monoculture forest stands transformed from underperforming () forests in the limestone area of Xuzhou, China: (), (), (), and (). The contents of carbon (C), nitrogen (N), and phosphorus (P), along with the C:N:P stoichiometric ratios, were analyzed in plants (leaves and fine roots), litter, and soil. The relationships among these components and their main influencing factors were explored. The results indicated that leaves contained higher levels of N and P, whereas litter presented significantly elevated C:N and N:P ratios in comparison with those of the other forest stands ( < 0.05). With the exception of , leaves displayed lower P than fine roots, which presented pronounced P enrichment. The soil C, N, and P contents decreased with depth, with both the forest stand and depth significantly impacting the soil stoichiometry ( < 0.01). Redundancy analysis identified available potassium, total nitrogen, and microbial biomass carbon in the soil as key factors influencing the stoichiometric characteristics of the leaf-fine root-litter continuum. Collectively, the leaf N:P ratios (>16) and low soil P contents indicate that plantation growth was primarily constrained by P limitation. In response, , , and allocate more P to fine roots to adapt to the environment.
退化林分的改造是提高林分生产力和优化立地适应性的一项重要策略。本研究调查了中国徐州石灰岩地区由生长不良的()森林改造而来的四种典型人工纯林:()、()、()和()。分析了植物(叶片和细根)、凋落物和土壤中碳(C)、氮(N)和磷(P)的含量以及C:N:P化学计量比。探讨了这些组分之间的关系及其主要影响因素。结果表明,()叶片中的N和P含量较高,而()凋落物的C:N和N:P比与其他林分相比显著升高(<0.05)。除()外,叶片中的P含量低于细根,细根表现出明显的P富集。土壤C、N和P含量随深度降低,林分和深度均对土壤化学计量有显著影响(<0.01)。冗余分析确定土壤中有效钾、全氮和微生物生物量碳是影响叶-细根-凋落物连续体化学计量特征的关键因素。总体而言,叶片N:P比(>16)和土壤低P含量表明人工林生长主要受P限制。作为响应,()、()和()将更多的P分配到细根以适应环境。