scholarly journals ЦИФРОВАЯ ПОЧВЕННАЯ КАРТА ВОДОСБОРА РЕКИ СОКОЛОВКА (ТЕРРИТОРИЯ ВЕРХНЕУССУРИЙСКОГО СТАЦИОНАРА ФНЦ БИОРАЗНООБРАЗИЯ ДВО РАН)

Author(s):  
A.A. Tereshkina ◽  
N.F. Pshenichnikova ◽  
A.N. Bugaets ◽  
O.M. Golodnaya ◽  
S.M. Krasnopeev

В работе приведены предварительные результаты создания цифровой почвенной карты для бассейна р. Правая Соколовка, территории Верхнеуссурийского стационара (ВУС) ФНЦ Биоразнообразия наземной биоты Восточной Азии ДВО РАН 1: 50 000. По природным условиям территория типична для среднегорного пояса, представляет собой характерный низкосреднегорный участок южного СихотэАлиня. Климат района формируется под влиянием восточноазиатского муссона. В качестве топографической основы использована цифровая модель рельефа с пространственным разрешением 30 м (SRTM30), план лесонасаждений Верхнеуссурийского стационара, геологическая карта М 1: 200 000. Основными единицами карты являются почвенные подтипы. Номенклатура почв дана по региональной классификации Г. И. Иванова, выполнена адаптация к современной почвенной классификации Российской Федерации и проведена корреляция с номенклатурой почв Всемирной реферативной базой почвенных ресурсов (WRB). Каждый почвенный ареал включает данные по условиям формирования почв на уровне подтипа. Всего выделено десять подтипов. Показано, что в почвеннорастительном покрове четко выражена вертикальная зональность, представленная двумя почвеннорастительными поясами: горных буротаежных и горноподзолистых почв темнохвойных лесов и поясом горнолесных бурых почв хвойношироколиственных лесов. В поясе темнохвойных лесов в пределах высот 800 1000 м распространены горные ржавоземы грубогумусовые иллювиальногумусированные, составляющие 23,8 от общей площади бассейна. В поясе хвойношироколиственных лесов в основном распространены буроземы (70 от общей площади водосбора). Среди почв пойменных ландшафтов преобладают аллювиальные серогумусовые (дерновые) типичные. На основе информации по генетическим горизонтам создана база данных гидрофизических характеристик почв. По литературным источникам создана база данных физических характеристик почв (гранулометрический состав, глубина, вес, содержание гумуса) по генетическим горизонтам почвенных профилей (45 разрезов). С помощью алгоритмов обработки пространственных данных выполнен анализ численных характеристик морфометрии рельефа (средняя высота, уклон, площадь) почвенных ареалов.The digital soil map (1: 50 000) of the Right Sokolovka River basin the territory of the Upper Ussurian experimental station of the Centre of Biodiversity of the terrestrial biota of East Asia, FEB RAS. The main map units are soil subtypes. The soil nomenclature is given according to the regional classification, the adaptation to the modern soil classification of the Russian Federation was carried out and correlation with the soil nomenclature by the World Reference Base of Soil Resources was made. The calculation and preliminary analysis of the numerical characteristics of the morphometry of the topography of the soil areas has been performed.

2013 ◽  
Vol 46 (6) ◽  
pp. 536-541 ◽  
Author(s):  
Seung-Been Lee ◽  
Hyen-Chung Chun ◽  
Hyun-Jun Cho ◽  
Byung-Keun Hyun ◽  
Kwan-Cheol Song ◽  
...  

Author(s):  
Ward Chesworth ◽  
Marta Camps Arbestain ◽  
Felipe Macías ◽  
Otto Spaargaren ◽  
Otto Spaargaren ◽  
...  

2019 ◽  
Vol 70 (2) ◽  
pp. 170-177
Author(s):  
Łukasz Musielok ◽  
Marek Drewnik ◽  
Wojciech Szymański ◽  
Mateusz Stolarczyk

Abstract The aim of the study was to test the suitability of the 6th edition of Polish Soil Classification (SGP6) in reflecting the typical features of subalpine Bieszczady Mts. soils in comparison with the 5th edition of Polish Soil Classification (SGP5) and the newest version of World Reference Base for Soil Resources (WRB). Five soil profiles located in differentiated in terms of the parent material, topography and vegetation conditions of the natural environment were investigated. On the basis of described morphology and determined properties soils were classified according to different soil classifications. All soils under study were featured by presence of thick A horizons and high content of soil organic carbon accumulated even very deep in the profiles. Some of the mineral topsoil layers were classified as umbric/umbrik horizons. Moreover cambic/kambik horizons were present and in some cases also weak redoximorphic features occurred. The SGP6 enabled to distinguish soils with a thick, organic carbon-rich A horizons as umbrisols, a newly created subtype of grey soils. Furthermore, the soil taxonomic position according to SGP6 was more detailed in relation to the soil trophic status (in case of brown soils) and occurrence of weak redoximorphic features. That was reflected in number of subtypes to which analyzed soils were classified – 4 in SGP6 vs 2 in SGP5.


2018 ◽  
Vol 14 (1) ◽  
pp. 49-62
Author(s):  
Ilia Kunchulia ◽  
Rusudan Kakhadze ◽  
Giuli Tsereteli ◽  
Giorgi Ghambashidze ◽  
Teo Urushadze

Abstract The aim of the paper is to evaluate the usefulness of the World Reference Base for Soil Resources (WRB) 2015 to classify shallow soils on mountains of the Trialeti Range, Lesser Caucasus, Georgia. The article also presents the evolution of the concept of Leptosols and of the qualifier “Leptic” and the diagnostic property of continuous rock. It also provides approaches to defining keys in the reference soil group (RSG) of Leptosols and identifying principal and supplementary qualifiers in WRB 2015 on example of soils of the Trialeti Range. The article gives few examples of classification for such shallow and stony soils with different set of qualifiers. Most of them fulfil the criteria of Leptosols and Regosols. These soils occur on the mountain range together with other RSGs (e.g. Pheozems). The authors propose to add the qualifier Technolithic to the list of Principal/Supplementary qualifiers of Leptosols.


Author(s):  
R. G. Gracheva

The first soil classifications dividing soils according to their individual properties and reflecting the resource value of soils were, in fact, substantive classifications. The appearance of soil science that studies soils as special natural bodies changing in space according to natural laws has led to the emergence of genetic soil classifications. The most detailed multilevel Classification of soils of the USSR (1977) is ecological genetic classification based on the relationship between soils and soil formation conditions, where the type of vegetation cover is the top hierarchy level. With the development of soil science, inconsistencies between the genetic classification and the growing volume of knowledge, difficulties in its formalization, and contradictions with the zonal approach have appeared. A paradigm of substantive classification has emerged based on modern measurable morphological and analytical indicators of soils. It is most fully implemented in the World reference base for soil resources (WRB); a compromise option is the substantive- genetic Soil Classification of Russia (2004). In these classifications, for the first time soils with strong human influence (Antrosols and Technosols) are included at a high classification level. The tasks of substantive classifications are the certainty of soil identification; however, discrete classification cells with tight boundaries do not correspond to the continual nature of soils. When using WRB 2014, geobotanical studies receive a certain “freedom” from soils, at the same time, the rigid framework of the parameters of soil properties makes it possible to more accurately identify soil-depended condition of the vegetation cover.


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