Knowledge Resource Center for Ecological Environment in Arid Area
Predicting Soil Health and Function of the Barnes Catena Using Evapotranspiration, Vegetative, Geologic, and Terrain Attributes in the Eastern Glaciated Plains of North Dakota | |
Bohn, Meyer Patrick | |
出版年 | 2018 |
学位类型 | 硕士 |
导师 | Hopkins, David G. |
学位授予单位 | North Dakota State University |
英文摘要 | The benchmark Barnes soil series is an extensive northern Great Plains upland Hapludoll that is vital to the region. Accelerated erosion has degraded Barnes agricultural soil quality, but with unknown extent or severity. Samples from three extensive Barnes soil map units, stratified by evapotranspiration values, were collected to 50 cm and analyzed for chemical, morphologic, and physical properties germane to edaphic function. Multi-scale terrain attributes and remote-sensed soil proxies, and geologic covariates were implemented with Cubist to model soil properties. Best models included SOC, EC, pH, SOC-IC, and sand content. Pedons were classified with a clustering algorithm into six classes. Linear discriminant analysis of covariates and subsequent prediction of landscape grouped classes had moderate to nearly substantial agreement with field observations; only fair agreement was attained for all classes. Detailed morphologic observations confirmed extensive topsoil erosion for some landscape positions that merit investigation of soil function and potential state change. |
英文关键词 | Digital soil mapping Erosion Glacial till Machine learning Pedology Remote sensing |
语种 | 英语 |
国家 | United States |
来源学科分类 | Soil sciences |
URL | https://pqdtopen.proquest.com/doc/2050189617.html?FMT=AI |
来源机构 | North Dakota State University |
资源类型 | 学位论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/251026 |
推荐引用方式 GB/T 7714 | Bohn, Meyer Patrick. Predicting Soil Health and Function of the Barnes Catena Using Evapotranspiration, Vegetative, Geologic, and Terrain Attributes in the Eastern Glaciated Plains of North Dakota[D]. North Dakota State University,2018. |
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