Functional characteristics reflect plant strategies and adaptability to the changing environment. Determining the dynamics of these characteristics after harvesting would improve the understanding of forest response strategies. Strip clearcutting (SC) of moso bamboo forests, which significantly reduces the cutting cost, has been proposed to replace manual selective harvesting. A comparison of restoration features shows that 8 m is the optimal cutting width. However, the precise response of functional features to the resulting harvest-created gap remains unclear. In this study, three SC plots were selected which was performed in February 2019, with three unharvested plots as a control (C). The study focused on 10 functional traits, including leaf area (LA), specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen content (LNC), leaf phosphorus content (LPC), nitrogen/phosphorus ratio (N:P), wood density (WD), fine root biomass (FRB), specific fine root length (SRL), and root length density (RLD). A one-way ANOVA was used to compare differences in functional traits and soil nutrients between treatments. Strip clearcutting significantly reduced the soil organic carbon (SOC) and total nitrogen (TN) contents (p < 0.05). In terms of functional characteristics, SC significantly decreased LA and increased LNC, LPC, and N:P (p < 0.05). However, SC had no significant effect on fine root traits (p > 0.05). This study highlighted that root trait, soil content of total phosphorus (TP) and total potassium (TK) returned to the level of uncut plots after a year’s recovery. The LPC, LNC, and N:P were negatively correlated with LA, and LDMC and WD were negatively correlated with SLA, while the effect of SC on fine root traits was limited (p > 0.05). Fine root traits (FRB, RLD, and SRL) were positively associated with SOC, TN, and TP, but negatively correlated with TK. The changes in soil nutrient content caused by the removal of biomass were normal. Increased light and the rapid growth of new trees will increase nutrient regressions; therefore, these results further confirm the feasibility of SC.

中文翻译：

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毛竹林带材砍伐的功能性状响应

功能特征反映植物策略和对不断变化的环境的适应性。确定采伐后这些特征的动态将提高对森林应对策略的理解。毛竹林的条状砍伐 (SC) 显着降低了砍伐成本，已被提议取代人工选择性采伐。修复特征的比较表明，8 m 是最佳切割宽度。然而，功能特征对由此产生的收获产生的差距的精确反应仍不清楚。在这项研究中，选择了 2019 年 2 月进行的三个 SC 地块，三个未收获的地块作为对照 (C)。该研究集中在10个功能性状上，包括叶面积（LA）、比叶面积（SLA）、叶干物质含量（LDMC）、叶氮含量（LNC）、叶磷含量 (LPC)、氮磷比 (N:P)、木材密度 (WD)、细根生物量 (FRB)、比细根长度 (SRL) 和根长度密度 (RLD)。使用单向方差分析来比较处理之间功能性状和土壤养分的差异。条带清除显着降低了土壤有机碳（SOC）和总氮（TN）含量（p < 0.05)。在功能特征方面，SC 显着降低 LA，增加 LNC、LPC 和 N:P（p < 0.05）。然而，SC对细根性状没有显着影响（p > 0.05）。本研究强调根系性状、总磷（TP）和总钾（TK）的土壤含量经过一年的恢复后恢复到未切割地块的水平。LPC、LNC、N:P与LA呈负相关，LDMC、WD与SLA呈负相关，而SC对细根性状的影响有限（p> 0.05）。细根性状（FRB、RLD 和 SRL）与 SOC、TN 和 TP 呈正相关，但与 TK 呈负相关。生物量去除引起的土壤养分含量变化正常。增加光照和新树的快速生长会增加养分退化；因此，这些结果进一步证实了SC的可行性。