Suppr超能文献

土壤转移函数估算亚马孙州南部印度黑土的一些土壤特性。

Pedotransfer functions to estimate some soil properties in Indian Black Earth, south of Amazonas State.

机构信息

Universidade Federal do Amazonas, Departamento de Agronomia, Rua Vinte e Nove de Agosto, 786, Centro, Humaitá, 69800-000 Amazonas, AM, Brazil.

Universidade Federal da Paraíba, Departamento de Solos e Engenharia Rural, Rodovia BR 079, Km 12, 58397-000 Areia, PB, Brazil.

出版信息

An Acad Bras Cienc. 2021 Oct 29;93(4):e20190543. doi: 10.1590/0001-3765202120190543. eCollection 2021.

Abstract

Agriculture needs methodologies that assist in the determination of soil attributes and variability mapping attributes with greater levels of detail. Therefore, the objective of this research was to evaluate magnetic susceptibility as auxiliary variable for estimating soil attributes in areas of Indian Black Earths in the south of Amazonas State. Three Indian Black Earth areas are located in the municipalities of Apuí and Manicoré - Amazonas, under uses with coffee, cocoa and pasture. The soils were collected at the crossing points in the depth of 0.00 - 0.20 m, making a total of 88 sampling points/area, and totaling 264 samples. The points were georeferenced for geostatistical modeling. After that, physical and chemical analyzes were performed to obtain the values ​​of soil and magnetic susceptibility attributes. Descriptive statistics, Pearson correlation, linear regression and geostatistical analyzes were applied for Pedotransfer Function modeling and the spatial variability of the analyzed attributes. Magnetic susceptibility showed a high degree of spatial dependence in the study areas, high range values, correlating with most of the assessed attributes, mainly physical, indicating potential in the prediction of the attributes in these environments. Pedotransfer functions vary among IBE's sites in attribute prediction, ensuring moderate estimates for predicting soil attributes in IBE's areas.

摘要

农业需要一些方法来辅助确定土壤属性,并以更高的细节水平对其变异性进行制图。因此,本研究的目的是评估磁化率作为辅助变量,用于估算亚马逊州南部印度黑土地区的土壤属性。三个印度黑土地区位于阿普伊和马尼科雷市 - 亚马逊州,这些地区的土地利用方式为咖啡、可可和牧场。在 0.00-0.20 米的深度采集土壤样本,在每个地区共采集了 88 个样本点,总计 264 个样本。这些点被进行地理参考,以便进行地统计建模。之后,进行物理和化学分析,以获取土壤和磁化率属性的值。应用描述性统计、皮尔逊相关性、线性回归和地统计分析来建立传递函数模型,并分析所研究属性的空间变异性。在研究区域中,磁化率表现出高度的空间依赖性、较大的范围值,与大多数评估属性相关,主要是物理属性,这表明在这些环境中预测属性具有潜力。在预测 IBE 地区的属性时,传递函数在各个 IBE 站点之间存在差异,这确保了对预测土壤属性的适度估计。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验