Paper Information

Journal:   ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION   2016 , Volume 5 , Number 4; Page(s) 147 To 160.
 
Paper: 

ANALYSIS OF UNCERTAINTY OF A SOIL MAP USING TAXONOMIC ADJACENCY AND PEDODIVERSITY INDICES

 
 
Author(s):  ESFANDIARPOUR BORUJENI I.*, BAGHERI BODAGHABADI M.
 
* DEPT. OF SOIL SCIENCE, VALI-E-ASR UNIVERSITY OF RAFSANJAN
 
Abstract: 

background and Objectives: Soil survey, mapping and evaluation studies has long been characterized by tension between the recognition that soils or soil properties vary continuously across the landscape and the necessity in soil classification of defining discrete entities. On the other hand, soil classes are usually separated by arbitrary threshold values for soil properties. In this regard, uncertainty will be an integral and attached part to phenomena, data and spatial information. Therefore, each soil mapping project has some deficiencies and uncertainties associated with incomplete and imperfect field measurements and limitations of soil cartographic representation. This paper is concerned with the concept of taxonomic adjacency and pedodiversity to compare the potential variability and uncertainty associated with arbitrary classification boundaries or thresholds in taxonomic criteria of both Soil Taxonomy and WRB systems.
Materials and Methods: After preparing the primary interpretative map (1:50,000 scale) for part of the Lalehzar region (Kerman province), based on the geopedologic approach, separated unit boundaries on the map were controlled and corrected in the field according to the semidetailed soil surveys. Then, soil profiles were dug in each of the geomorphic units and finally 20 soil profiles were described and sampled in the study area. After necessary physical and chemical analyses on the samples, soils classification was finalized based on both Soil Taxonomy (2010) and WRB (2007) systems. Afterwards, based on the separated soil classes in both mentioned classification systems, the taxonomic adjacency matrix of studied soils were prepared using algebraic graph theory. Then, the largest eigenvalue of the matrix (the spectral radius) was used for calculating taxonomic adjacency index of soil map of the region. Besides, the diversity of the soils of the area was calculated using Shannon diversity index and is compared with the taxonomic adjacency index.
Results: Results showed that according to the Soil Taxonomy system, soils of the area were in three Entisol, Inceptisol and Alfisol orders; however, based on the WRB system, Regosol, Cambisol, Calcisol and Luvisol reference groups were the dominant soils of the area. Besides, Soil Taxonomy criteria have greater degree of uncertainty in the classification of the soils of the studied area compared to the WRB system. Due to differences in the geomorphic units, the WRB system showed better the small amount of taxonomic adjacency in the soils of the area.
Conclusion: Comparison of the taxonomic adjacency index results with those of the Shannon diversity index in showing the diversity of the soils indicated that the WRB system has acted more accurately than the Soil Taxonomy system. In general, the relationship between taxonomic adjacency and landscape was clearly visible in the study area.

 
Keyword(s): PEDODIVERSITY, SOIL CLASSIFICATION, UNCERTAINTY, ADJACENCY MATRIX
 
References: 
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