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Quantifying the pedodiversity-elevation relations

delete2020-08-01
delete18
PRE
AI
O
Oldřich Vacek
R
Radim Vašát *
L
Luboš Borůvka
DOI:10.1016/j.geoderma.2020.114441delete
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摘要

摘要

En 中文
This paper discusses the study of pedodiversity quantification as related to elevation. It attempts to answer what is the magnitude of pedodiversity change with increasing or decreasing elevation. The proposed methods include segmentation of the study area (country of Czechia) so that segments of either equal elevation increments, or equal area extent are delineated. Based on soil taxa, commonly used pedodiversity indices in terms of diversity index (Shannon's entropy) are calculated for each segment. Furthermore, a concept of potential pedodiversity (PPD) have been proposed (it can be defined as a pressure of the surroundings on the soil unit change at a particular soil point location), with the aim to enable a pixel-to-pixel analysis. The size of the pixel surroundings was optimized for the most contrasted PPD pattern. It has been found that the pedodiversity tends to decrease with increasing elevation, and that such relationship can be described with a polynomial model (5-order) more likely than with a linear one. For the majority of the area, however, the linear fit may be a good approximation. To further visualize the effect of elevation on the PPD, experimental sample variogram and residual (variogram of residuals of the fitted model) variograms were examined. In addition to the difference in variogram sills, which can be attributed to the portion of variance explained by the fitted model, the elevation also had a significant impact on the reduction of periodicity in the spatial structure of pedodiversity. In this respect, the polynomial model confirmed its superiority over the linear one again.
Keyword:
Soil diversity
Soil mapping
Digital terrain model
World Reference Base
Soil classification
Reference Soil Group
Shannon's entropy
Variography
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期刊

Geoderma 封面图
Geoderma
IF:
6.6
论文数:
9.4K
被引数:
5.9W

机构

C
Czech University of Life Sciences Prague
学者数:
196
论文数: 79
被引数: 2.7K
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