THE STUDY OF SOIL COVER OF TALAS DISTRICT OF ZHAMBYL REGION

This work is devoted to the preservation and enhancement of soil fertility, since their condition is the main part of the general problem of rational use of land resources, increasing productivity and improving the soil ecology of agricultural landscapes. The modern assessment of soils is relevant for the development of the state and society, as it provides information on accounting for the geographical distribution, on the value of soils, on rational use, on the protection and planning of soil use. As a result of the work, thematic soil maps and attribute databases were formed. As a result of research based on GIS technology, a digital soil map of the Talas district of the Zhambyl region was developed using the ArcGIS software product.

THE STUDY OF THE CURRENT STATE OF THE SOIL COVER OF THE AKSHAT RURAL COUNTY OF WEST KAZAKHSTAN REGION ON THE BASIS OF GIS TECHNOLOGIES

The rational use and protection of soils in market conditions requires adequate application of new scientific and methodological approaches. One of such systematic-analytical methods of soil cadastre organizations is a combination of traditional terrestrial methods with technologies of geoinformation systems (GIS) based on extensive use of satellite images in different resolutions. The aggregate of information necessary for mapping soil cover patterns and their quantification has been described in GIS databases. Data integration has been realized through the spatial and attributive component in the form of: the results of topographic and thematic maps. At the same time, the creation of attributive GIS databases involves the digitization of thematic maps tied into a single cartographic projection (as a topographic map with a scale of 1: 50 000). As a result of the study, thematic maps and attributive databases of GIS of soils were formed. As a result of research, based on GIS technology, a digital soil map of the Akshat rural county of the Chingirlau district of the West Kazakhstan region has been developed using the ArcGIS software product.

Site specific impacts of climate change on crop rotations and their management in Brandenburg/Germany

<p>Climate change impact on crop production depends on the cultivated crop and its position within crop rotations and on site conditions, e.g. soils and hydrology, buffering adverse weather situations. We present a regional study across the federal state of Brandenburg/Germany based on gridded climate data and a digital soil map using the HERMES-to-Go model. The aim was to investigate defined crop rotations and common agricultural practices under current and future climate conditions regarding productivity and environmental effects. Two contrasting GCMs (HAD and MPI) were used to generate climate input for modelling for the RCPs 2.6 and 8.5.</p><p>5 different types of crop production were simulated by defining crop rotations over 4-5 years for soil quality rating groups. While one rotation is comprised by the most common crops, another rotation modifies the first one by introducing a legume followed by a more demanding crop. The third rotation intends to produce higher value crops, e.g. potatoes than the first one, while the fourth rotation has its focus on fodder grass and cereal production. Building on this the fifth rotation replaces the fodder grass by alfalfa. All rotations are simulated in shifted phases to ensure that each crop is simulated for each year.</p><p>Sowing, harvest and nitrogen fertilization were derived by algorithms based on soil and climate information to allow self-adaptation to changing climate conditions. The crop rotations are simulated under rainfed and irrigated conditions and with and without the implementation of cover crops to prevent winter fallow.</p><p>We used the digital soil map 1:300.000 for Brandenburg with 99 soil map units. Within the soil map unit, up to three dominant soil types were considered to achieve at least 65% coverage. 276 soil types are defined by their soil profiles including soil organic matter content and texture down to 2 meters. Groundwater levels are estimated using the depth of reduction horizons as constant values over the year, to consider capillary rise depending on soil texture and distance between the root zone and the groundwater table.</p><p>In total each climate scenario contains about 148.000 simulations of 30 years. Beside crop yields we analyse the outputs for trends in soil organic matter, groundwater recharge, nitrogen leaching and the effect on water and nitrogen management using algorithms for automatic management.</p><p>Results indicate that spring crops were more negatively affected by climate change than winter crops especially on soils with low water holding capacity. However, few areas with more loamy soils and potential contribution of capillary rise from a shallow groundwater even benefited from climate change. Irrigation in most cases improved crop yield especially for spring crops. However, further analysis is required to assess if irrigation gains an economic benefit for all crop rotations. Nitrogen leaching can be reduced by implementing winter cover crops. Soil organic matter is assessed to decline for most sites and rotations. Only the rotations with multiyear grass or alfalfa can keep the level, but not on all sites.</p>

GIS technology application for identification of peat bog soils for updating the digital soil map of Karelia

Updating of information in digital regional soil maps is addressed. The conversion of the soil map of Karelia (SMK) into vector format encountered the problem of properly placing a majority of peat bog soil contours into the existing classification. Therefore, methodological studies were carried out to enable rectification and updating of the SMK digital version. A procedure for identification of peat bog soil massifs was suggested for the purpose of updating the information using modern GIS technology. Corrections were made to the map contents relying on the information available in thematic maps, satellite images, up-to-date relief and hydrographic data. The first step was to establish correlations between legends in the initial map and further cartographic materials. The updated data were fed into the attributive database of soils, which is automatically linked to soil contours. In the process, some hindrances to the typological identification of wetland soils were revealed, and various methodological solutions to deal with them were worked out. The new block of “meso-eutrophic peat bog soils” was added to the legend of the map, since information about the typology of wetland soils has been expanded since the making of the original SMK. As a result of the effort, the number of unidentified mire contours in the digital SMK was reduced from 83.7 to 7.2%. Data regarding the peat bog soils present in SMK were thus updated. That said, the contours of some large mire massifs will have to be modified at the next stage of the work.

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

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.