Application of Topographic Analyses for Mapping Spatial Patterns of Soil Properties

Li, Xia; McCarty, Gregory W.

doi:10.5772/intechopen.86109

Cited by 16 publications

(12 citation statements)

References 161 publications

(215 reference statements)

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“…Our results are in agreement with earlier studies which reported relatively low values of SOC and STN at higher terrain elevations (Zhao et al, 2015). It is plausible that as terrain elevation decreases, soil moisture content and availability tend to increase (Hook and Burke, 2000), and consequently, increasing plant productions which in turn increases SOC input and accumulation (Pei et al, 2010;Li and McCarty, 2019). It is also possible that the accumulation of SOC at the lower position could be caused by soil erosion which leads to residue deposition and redistribution of labile organic carbon in the surface soil (Lal, 2003;Li et al, 2017).…”

Section: Topography Variables In Relation To Soil Quality Indicators In Different Land-usessupporting

confidence: 93%

“…In addition to these land-use effects, topography is another soil-forming factor which dominantly affects soil properties at local scales (Jenny, 1941) through regulating soil hydrological regimes and controlling the gravity-driven soil movements (Speight, 1980;Li and McCarty, 2019). Accordingly, topography has been identified as one of the important sources of the heterogeneity of soil properties (Zhao et al, 2015;Burst et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Spatial variation of soil quality indicators as a function of land use and topography

Kiani¹,

Hernandez‐Ramirez

Quideau

2020

Can. J. Soil. Sci.

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Soil quality (SQ) indicators such as plant available water (PAW), soil organic carbon (SOC), and microbial biomass carbon (MBC) can reveal agroecological functions; however, their spatial variabilities across contrasting land uses need to be better understood. This study examined the spatial variation of these key SQ indicators as a function of two land-use systems and using topography covariates. We sampled a total of 116 point locations in a native grassland (NG) site and an irrigated cultivated (IC) site located near Brooks, Alberta. Compared with NG, cultivation altered soil pore-size distribution by sharply reducing macroporosity by 25%. However, conditions in the IC soil supported greater accrual of microbial growth (MBC of 601 vs. 812 nmol phospholipid fatty acids g−1 soil) probably due to more availability of water and nutrients. Focusing on the effects of topography on SQ indicators, terrain elevation (by light detection and ranging) and estimated depth-to-water were found to be key controllers of SQ at the two land-use systems. Also, there were gradual increases in both SOC and MBC where estimated water table was deeper, and higher SOC also associated with lower elevation. A comparison of ordinary kriging and cokriging (coK) geostatistical mapping indicated that the coK method performed better as demonstrated by improvements in the accuracies of spatial estimations of PAW, SOC concentration, and MBC. Thus, implementing coK using the aforementioned topography covariates enhances the capability for predictive mapping of SQ, which is particularly useful when spatial data for key SQ indicators are sparse and challenging to measure.

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Section: Topography Variables In Relation To Soil Quality Indicators In Different Land-usessupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Spatial variation of soil quality indicators as a function of land use and topography

Kiani¹,

Hernandez‐Ramirez

Quideau

2020

Can. J. Soil. Sci.

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“…Sochava in his scientific work developed [6] the scientific basis for the stabilization and efficient use of the natural environment [27,31,9]. Geosystems are subdivided into planetary (geographical), regional (natural geographic zones, large countries, provinces and landscapes), and topological (structural, morphological parts of landscapes: place, urochishche, facies).…”

Section: Methodsmentioning

confidence: 99%

“…The method of relief plastics was used by [34] in his work. The top and bottom of the aquifers, which are the main elements of relief, are depicted as a line along the relief slope [31]. The relief plastic card clearly separates the boundaries of the on-site reservoirs.…”

Section: Methodsmentioning

confidence: 99%

The role of GIS technology in determining irrigated geosystems

2021

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Irrigated lands of Bukhara, Samarkand and Navoi regions are located in the Zarafshan river oasis and are called geosystems. Assessment of the reclamation state of geosystems of the region has been carried out in the area of classification and mapping for the effective use of land. When classifying a research object, it is much easier to identify, evaluate and apply reclamation measures. In the classification of landscapes, they are grouped in a certain order and there is an opportunity to apply such reclamation measures. So far, the basin-level classification of the Zarafshan river oasis and geosystems has not been carried out. In the scientific paper, landscapes were analysed as a form of geosystem. The geosystems of the region were grouped and summarized for the performance of the reclamation geographical assessment based on water and salt parameters. The classification of the object of study using GIS is of great scientific and practical importance. An analysis of the origin, structure, development and other features of an object when it is classified will determine the scientific significance of the case. Geosystems were isolated using the forms depicted on the relief plastic card in the scientific paper. Measures have been developed to improve the reclamation state of existing geosystems. They reached scientifically sound conclusions.

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“…The construction of the ABM requires the selection of the crop and geographic location, e.g., species, cultivar, soil properties. Based on aerial images of the field, image processing is performed, e.g., color to grayscale, binarization, edge detection and region extraction [31,32]. This processing yields a 2-D map, which can be discretized using a spatial grid.…”

Section: Agent Spatial Environmentmentioning

confidence: 99%

An Agent-Based Crop Model Framework for Heterogeneous Soils

2021

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Climate change and the efficient use of freshwater for irrigation pose a challenge for sustainable agriculture. Traditionally, the prediction of agricultural production is carried out through crop-growth models and historical records of the climatic variables. However, one of the main flaws of these models is that they do not consider the variability of the soil throughout the cultivation area. In addition, with the availability of new information sources (i.e., aerial or satellite images) and low-cost meteorological stations, it is convenient that the models incorporate prediction capabilities to enhance the representation of production scenarios. In this work, an agent-based model (ABM) that considers the soil heterogeneity and water exchanges is proposed. Soil heterogeneity is associated to the combination of individual behaviours of uniform portions of land (agents), while water fluxes are related to the topography. Each agent is characterized by an individual dynamic model, which describes the local crop growth. Moreover, this model considers positive and negative effects of water level, i.e., drought and waterlogging, on the biomass production. The development of the global ABM is oriented to the future use of control strategies and optimal irrigation policies. The model is built bottom-up starting with the definition of agents, and the Python environment Mesa is chosen for the implementation. The validation is carried out using three topographic scenarios in Colombia. Results of potential production cases are discussed, and some practical recommendations on the implementation are presented.

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Application of Topographic Analyses for Mapping Spatial Patterns of Soil Properties

Cited by 16 publications

References 161 publications

Spatial variation of soil quality indicators as a function of land use and topography

Spatial variation of soil quality indicators as a function of land use and topography

The role of GIS technology in determining irrigated geosystems

An Agent-Based Crop Model Framework for Heterogeneous Soils

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