Soil biochemistry analysis in Shorea robusta forests
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We hypothesized that: 1) disturbance regimes would negatively affect soil microbial biomass and enzyme stoichiometry by increasing the substrate stress (organic matter) input from under-canopy vegetation (shrubs and herbs) and decline soil properties compared to non-disturbed; 2) moderate disturbance (MD) would reduce the microbial C and P limitation in severely P-limited soil by improving soil nutrients status and key physicochemical properties. The study followed a randomized complete stands design, incorporating 24 treatment combinations based on four disturbance regimes (ND, LD, MD, and HD), three seasons (summer, monsoon, and winter), and two soil depths (0-15 and 15-30 cm). As per Shankar & Garkoti (2023), 45 permanent forest stands (≥ 0.1 ha) were categorized into four ecological zones—ND (8), LD (25), MD (9), and HD (3)—based on disturbance intensity (DI, %) and canopy coverage (CC, %) as illustrated in Fig. 1b. These zones are defined as follows: No Disturbance (ND) with DI ≤ 5% and CC > 70%, Low Disturbance (LD) with 5% < DI ≤ 20% and CC > 50%, Moderate Disturbance (MD) with 20% < DI ≤ 50% and CC < 50%, and High Disturbance (HD) with DI > 50% and CC < 30%. Using a soil corer (15 cm × 5 cm × 5 cm), five soil cores were randomly collected at 1 to 1.5 meters from the base of tree stumps of dominant species, at soil depths of 0-15 cm and 15-30 cm. The soil from each predefined stand at the same depth was combined into one composite sample. This process yielded 48 composite soil samples for further analysis (four disturbance regimes × two replicates × two soil depths × three seasons). The freshly collected soil samples were placed in bags and stored at 4ºC before transportation to the laboratory. The moist samples were sieved through a ≤ 2 mm mesh to remove visible stones, pebbles, plant roots, and debris, and then homogenized. Each homogenized composite sample was divided into two portions: one was stored at 4ºC for soil microbial biomass and enzyme activity analysis, while the other was air-dried for assessing soil physicochemical properties. In each ecological zone, five random quadrats of 5 × 5 m² were established for shrubs, and 1 × 1 m² quadrats (with four points at the corners and one at the diagonal intersection) were used for herbs to assess cumulative understory diversity.
本研究提出如下假说:1)相较于未受干扰(non-disturbed)样地,干扰制度(disturbance regime)会通过增加冠下植被(under-canopy vegetation,灌丛与草本植物)输入的底物压力(substrate stress,有机质),并降低土壤属性,对土壤微生物生物量(soil microbial biomass)与酶化学计量(enzyme stoichiometry)产生负面影响;2)中度干扰(MD)可通过改善土壤养分状况与关键理化性质,缓解严重磷限制土壤(severely P-limited soil)中的微生物碳、磷限制。本研究采用随机完全林分设计(randomized complete stands design),基于4种干扰制度(未受干扰ND、低干扰LD、中度干扰MD、高干扰HD)、3个季节(夏季、季风季、冬季)以及2个土壤深度(0~15 cm与15~30 cm),共设置24种处理组合。参照Shankar与Garkoti(2023)的方法,将45个永久性林分(面积≥0.1 ha)依据干扰强度(DI,%)与冠层覆盖率(CC,%)划分为4个生态区——未受干扰区(ND,8个林分)、低干扰区(LD,25个林分)、中度干扰区(MD,9个林分)、高干扰区(HD,3个林分),具体划分方式如图1b所示。各生态区定义如下:未受干扰(ND):干扰强度≤5%且冠层覆盖率>70%;低干扰(LD):5%<干扰强度≤20%且冠层覆盖率>50%;中度干扰(MD):20%<干扰强度≤50%且冠层覆盖率<50%;高干扰(HD):干扰强度>50%且冠层覆盖率<30%。使用规格为15 cm ×5 cm ×5 cm的土壤钻(soil corer),在优势树种树桩基部1~1.5 m处,分别于0~15 cm和15~30 cm土层随机采集5个土芯。将同一预设林分相同土层的土壤混合为1个复合样品(composite sample)。该采样流程共获得48个复合土壤样品用于后续分析(4种干扰制度×2个重复×2个土壤深度×3个季节)。新鲜采集的土壤样品装入密封袋中,于4℃冷藏保存后运输至实验室。将湿样通过孔径≤2 mm的筛网过筛,以去除可见石块、砾石、植物根系及碎屑,随后进行均质化处理。将每份均质后的复合样品分为两份:一份置于4℃冷藏,用于土壤微生物生物量与酶活性分析;另一份风干,用于测定土壤理化性质。在每个生态区内,设置5个5×5 m²的样方用于灌丛调查,同时设置1×1 m²的样方(四角及对角线交点共设置5个采样点)用于草本植物调查,以评估林下植被的累积多样性。




