Mapping the occurrence and thickness of soil horizons within soil profiles
Mapping the occurrence and thickness of soil horizons within soil profiles
复制标题
绘制土壤剖面内土层的出现情况和厚度
DOI:
--
复制
发表时间:
2012
期刊:
影响因子:
--
通讯作者:
B. Minasny
中科院分区:
文献类型:
--
作者:
G. Gastaldi;B. Minasny
While many studies have mapped the thickness of individual soils horizons, few have mapped the horizons as a whole soil profile. We developed soil-landscape regression models to describe and predict the occurrence and the thickness of several soil horizons to 1 m depth. The study was carried out at a 75 km2 area in the Hunter Valley, New South Wales in Australia, using 1050 soil profiles observations. The landscape factors that were used to make the models included terrain attributes, landuse, and geology. We derived regression models to predict the thickness of the individual soil horizons. Because not all horizons can be present in the whole area, we cannot develop a regression model which has the assumption of constant error variance. Therefore, we used a combination of a logistic regression with an ordinary regression to first model the occurrence of each horizon and then their thickness, respectively. This model revealed significant relations between the soil attributes and the prediction of the occurrence and thickness of each of the soil horizons. validate it and c) to represent them with different maps. 2 MATERIALS AND METHODS 2.1 Study area and data The study area is in the lower Hunter Valley, Pokolbin with an area of approximately 75 km2 (Figure 1). The climate is temperate. Elevation in the study areas ranged from 55 to 500 m. Based on the elevation, we can distinguish two zones: southwest where the slope ranged from 15 to 30 degrees and the middle and north-east where the slope ranged from 0 to 5 degrees. The soils in the study area are mainly clay loams and light clays. The soil class includes Dermosols and Chromosols according to the Australian Soil Classification System. The data came from various surveys conducted by the University of Sydney from 2000 to 2009, consisting of 1050 soil profiles. The data described the soil according to the Australian classification (field texture, depth of the different horizons, colour, and morphologies). In order to conduct the study, we arranged the data collected and idealized a soil profile model. We considered an idealized soil profile which has all of the following horizons in a sequential order using the Australian horizon designation: Ap, A1, A2, B1, B2, B3, BC and C. We converted the raw data of soil horizon lower depth