贝希拉省 Kafr El-Dawar 地区土壤生物量与土壤质量指数之间的关系

Ebrahim Ahmed Shehata, E. F. Abdelaty
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引用次数: 0

摘要

本次调查在 Kafr El-Dawar 地区进行,旨在研究土壤微生物生物量与土壤质量指数之间的关系。通过土壤管理评估框架(SMAF)程序,对 39 个土壤样本进行了化学特征检测,以确定土壤质量指数。对土壤质量指数和土壤参数之间的皮尔逊相关关系和主成分分析(PCA)进行了分析,并对土壤质量指数和微生物生物量之间的关系进行了回归分析。在土壤微生物生物量方面,最低值约为 186 mg kg-1(占总样本的 5%)。最高值约为 387 毫克/千克(占总样本的 5%)。样本的平均微生物生物量约为 299 毫克/千克 1。约 50%的样本值与样本平均值相同。土壤 pH 值与 CaCO3 含量之间存在较高的相关性。土壤 pH 值与铁和锰之间存在显著相关性。土壤质量指数与钙、镁、氮、钾、铜和锌有较高的显著相关性。磷对土壤质量指数的影响更大。化学特性对土壤质量指数的影响最大。所有样本的土壤质量指数都低于 50%。约 69.2% 的土壤质量较差(SQI 小于 40%),其余为中等质量(SQI 在 40-60% 之间)。根据回归结果,微生物生物量是影响土壤质量的关键土壤特性。进一步的研究应包括土壤的生物特性和其他物理化学特性,以扩大土壤质量指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The relationship between soil biomass and soil quality index for Kafr El-Dawar region, Beheira Governorate
The current investigation was conducted in the Kafr El-Dawar region to study the relationship between soil microbial biomass and soil quality index. Thirty-nine soil samples were taken for the chemical characteristics used to determine the soil quality index by the Soil Management Assessment Framework (SMAF) procedures. Pearson correlation relationship and Principal components analysis (PCA) between soil quality index and soil parameters were done as well as regression between soil quality index and microbial biomass. For the soil microbial biomass, the lowest value was about 186 mg kg-1 (5% of the total samples). The highest value was about 387 mg kg-1 (5% of the total samples). The average microbial biomass of the samples was about 299 mg kg 1. Approximately 50% of the total samples have a value equal to the average sample value. Higher significant correlation was observed among soil pH with CaCO3 content. Significant correlation was observed among soil pH with Fe and Mn. Soil quality index had a higher significant correlation with Ca, Mg, N, K, Cu, and Zn. P was a more effective factor on soil quality index. The chemical properties had the most impact on the soil quality index. All samples have a soil quality index score of less than 50%. About 69.2% were poor quality (SQI less than 40%), and the rest were moderate quality (SQI between 40 and 60%). Microbial biomass is a key soil characteristic that influences soil quality according to the regression result. Further research should include biological and other physicochemical soil properties to enlarge soil quality index.
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