尼日利亚巴耶尔萨州生态带树木生态参数与土壤生物丰度的关系

Lawrence E.U, C. Oyegun, Eludoyin O.S.
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引用次数: 0

摘要

研究了尼日利亚巴耶尔萨州生态区树木生态参数与土壤生物丰度之间的关系。本研究采用准实验研究设计。在每个生态区受干扰较少的森林中划分100m × 100m样方,随机选取20个亚样方,采集不同土壤深度(0-15cm、15-30cm、30-45cm)的植物和土壤生物(蚯蚓、节肢动物、真菌和细菌)丰度数据。数据分析采用描述性统计和推理统计两种方法。结果表明,全区共有251个蚯蚓种群,其中淡水沼泽(FWS)表层土最多(52.1%),红树林(MG)表层土最多(63.64%),共有176个蚯蚓个体。土壤节肢动物丰度显著高于湿地和湿地(p<0.05)。蚯蚓丰度与林木组成(r=-0.459)、林木密度(r=0.543)和林木密度(r=0.581)呈极显著相关,土壤真菌与林木丰富度呈极显著相关(r=0.445)。此外,在15 ~ 30cm土壤深度,FWS只有土壤真菌与树木组成(r=0.668)和树木丰富度(r=0.550)相关。在30 ~ 45土层,只有土壤细菌与树木丰富度(r=0.624)和树木密度(r=0.464)显著相关。MG在0 ~ 15cm土层,土壤节肢动物丰度与树木组成呈极显著相关(r=0.464)。在15 ~ 30cm处,土壤细菌与树木丰富度(r=0.582)和树木密度(r=0.632)显著相关,土壤真菌与树木数(r=0.611)、树木多样性(r=0.624)、树木丰富度(r=0.520)和树木密度(r=0.632)显著相关。在30 ~ 45cm土层,土壤真菌与乔木数呈极显著相关(r=0.474)。该研究建议植物保护对保护土壤生物的生存很重要。准实验研究设计。该样方再划分为20m × 20m的样方,每个样方随机选取20个样方采集每个生态带的植物和土壤生物数据。样地用木桩划分,并用红色色带标记,便于边界识别。本研究采用分层和简单随机抽样的抽样方法。在16个亚样方内,用某大学的分类系统鉴定了树种。随后,收集了树木总组成和单株数的上层数据。利用树木组成和单株数来确定各生态区植物的丰富度和多样性。研究区维管植物的种类组成是通过对植物种类的鉴定来确定的,而单个物种的种群数量是通过在20m × 20m样方内直接计数每个物种的种群来确定的。维管植物的物种组成、物种密度、多样性、丰富度、物种多样性值H
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RELATIONSHIP BETWEEN TREE ECOLOGICAL PARAMETERS AND SOIL ORGANISMS ABUNDANCE IN ECOLOGICAL ZONES OF BAYELSA STATE, NIGERIA
The study examined the relationship between tree ecological parameters and abundance of soil organisms in ecological zones of Bayelsa State, Nigeria. The study adopted quasi experimental research design. A quadrat of 100m x 100m was delimited in the relatively less disturbed forest in each ecological zone from which twenty (20) sub-quadrats were randomly selected for data collection on plants and soil organisms (earthworm, arthropods, fungi and bacteria) abundance at different soil depths (0-15cm, 15-30cm, 30-45cm). Both descriptive and inferential statistics were used for data analysis. Findings showed that a total of 251 earthworm population was found in the entire area with the highest (52.1%) at the topsoil in the freshwater swamp (FWS) while 176 individual species of earthworm recorded in the mangrove (MG) with highest in the topsoil (63.64%). Soil arthropods abundance was significantly higher between FWS and MG at p<0.05. Earthworm abundance was significantly correlated with tree composition (r=-0.459), tree density (r=0.543) and tree density (r=0.581) in the FWS while soil fungi was significantly correlated with tree richness (r=0.445) at the topsoil in the FWS. In addition, at 15-30cm soil depth in the FWS, only soil fungi was correlated with tree composition (r=0.668) and tree richness (r=0.550). At the soil depth of 30-45, only soil bacteria was significantly correlated with tree richness (r=0.624) and tree density (r=0.464). In MG, at the soil depth of 0-15cm, soil arthropods abundance was significantly correlated with tree composition (r=0.464). At 15-30cm, soil bacteria was significantly correlated with tree richness (r=0.582) and tree density (r=0.632) while soil fungi was significantly correlated with number of trees (r=0.611), tree diversity (r=0.624), tree richness (r=0.520) and tree density (r=0.632). At the soil depth of 30-45cm, soil fungi correlated significantly with number of trees (r=0.474). The study recommended that plant conservation is important to protect the survival of soil organisms. quasi experimental research design. A quadrat 100m 100m forest not disturbed each ecological of Bayelsa This quadrat was sub-divided into quadrats of 20m x 20m which twenty (20) quadrats were randomly selected for data collection on plants and soil organisms in each ecological belt. The sample plots were delimited with pegs and tagged with red coloured ribbon for easy identification of the boundaries. The sampling methods adopted for this study were stratified and simple random sampling techniques. The tree plants species were identified with the of a Taxonomist University within the sixteen sub-quadrats for the study. Thereafter, overstorey data were collected on the total tree composition and number of individual trees. The tree composition and number of individual trees were used to determine the plant richness and diversity in each ecological zone. Species composition of vascular plants in the study area was determined by identifying the plant species while the population of individual species was determined by direct counting of the population of each plant species in the 20m x 20m quadrats. species composition of the vascular plants species density, diversity, richness, the The species diversity value H
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