利用因子-性质和因子-过程-性质模型的土壤侵蚀程度数字制图(俄罗斯中部高地南部)

Q4 Agricultural and Biological Sciences Biulleten'' Pochvennogo instituta im VV Dokuchaeva Pub Date : 2020-12-03 DOI:10.19047/0136-1694-2020-104-158-198
M. Smirnova, A. Zhidkin, N. Lozbenev, E. Zazdravnykh, D. Kozlov
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引用次数: 1

摘要

水土流失导致的土壤退化对粮食和环境安全构成严重威胁,因此土壤侵蚀特征研究和土壤侵蚀制图具有重要的现实意义。本文介绍了别尔哥罗德州普罗霍罗夫斯基区(8.5万公顷)耕地土壤侵蚀程度的大尺度数字制图结果,采用两种方法:(1)将侵蚀累积过程因子与土壤侵蚀程度直接联系起来(因子-属性模型),(2)利用模拟侵蚀模型WaTEM/SEDEM(因子-过程-属性模型)。将过程成分纳入数字土壤制图算法,不仅可以考虑空间特征,还可以考虑时间特征。结果表明,普罗霍罗夫斯基地区的农业发展主要是在易受侵蚀的土地上进行的,其侵蚀率几乎比年轻耕地低两倍。因此,基于因子-过程-性质模型的土壤侵蚀图,无论是否考虑农业利用的持续时间,在很大程度上是相互对应的。优势土壤类别(图像元对应一个土壤分类群——非侵蚀、轻微侵蚀、中等侵蚀、高度侵蚀)、因子-性质模型和因子-过程-性质模型之间的对应程度较高(预测同一性为90%),而土壤组合(图像元具有不同侵蚀程度土壤的比例信息)更为显著(同一性小于60%)。在因子-过程-性质图上,地带性、侵蚀-地带性和弱侵蚀土壤组合的面积在土壤侵蚀程度较大的方向上相差1.5 ~ 2倍。
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Digital mapping of erosion degree of soils using the factor - property and factor - process - property models (the south of the Central Russian upland)
Soil degradation resulting from water erosion poses a serious threat to food and environmental security, therefore the research of soil erosion features and soil erosion mapping do not lose their relevance. The paper presents the results of large-scale digital mapping of the erosion degree of the arable soils in the Prokhorovsky district of the Belgorod region (85 thousand hectares), based on two approaches: (1) linking the factors of erosion-accumulative processes and the erosion degree of soil directly (factor -property model), and (2) due to imitation erosion model WaTEM/SEDEM (factor - process - property model). The inclusion of the process component into the digital soil mapping algorithm allows taking into account not only the spatial but also the temporal soil erosion features. It was revealed that the agricultural development of the Prokhorovsky district was primarily carried out on lands that are weakly prone to erosion, with the rate of erosion almost two times lower than on younger arable lands. As a result, the soil erosion maps, based on the factor - process - property model, with and without taking into account the duration of agricultural use, largely correspond to each other. Dominant soil categories (the map pixel corresponds to one soil taxa - noneroded and slightly eroded, medium, highly eroded), mapping by factor -property and factor - process - property models, have a high degree of correspondence to each other (prediction identity for 90% of pixels), while the soil combinations (the map pixel has information on the proportion of soils with different erosion degrees of soil) more significant (identity for less than 60% of pixels). The areas of zonal, erosion-zonal, and weakly eroded soil combinations differ 1.5-2 times, in the direction of a greater degree of soil erosion on the factor - process - property map.
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CiteScore
0.90
自引率
0.00%
发文量
15
审稿时长
8 weeks
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