THE RUDERAL VEGETATION OF CENTRAL YAKUTIA (THE ECOLOGO-PHYTOCENOTIC ANALYSIS)

The purpose of the work: the analysis of the spatial-temporal and ecological laws of the ruderal vegetation in Central Yakutia. The basic anthropogenous places of inhabitation have been typified. The syntaxonomy of the ruderal vegetation of Central Yakutia has been built, in which 5 unions, 16 assiciations, 19 subassociations are new. The connections of the syntaxons of the ruderal vegetation with natural and anthropogenous factors have been revealed. The regioning of the ruderal vegetation has been performed on the base sigma-syntaxonomy. The performed investigation has allowed to develop the design of optimization of the ruderal vegetation of the Central Yakutia, accepted for use by the State Committee of Building of Sacha Republic (Yakutia)Available from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio

Ecologo-climatic model and its using for vegetation mapping in Jakutia

Information and computer technologies of recent decades provide new approaches that allow to create maps of better quality and precise characteristics. Based on the statement that distribution patterns of vegetation cover in a given region are closely related to a certain set of ecological factors, we have tasked to analyze the accuracy of map contours by means of GIS. The study consisted in correlation of raster maps of ecological-climatic factors with the map of vegetation cover. The raster map of relief was used as supplemental as well. In this stage of the study, we analyzed the accuracy of contours depicting the distribution of the following subzones: lowlands of the arctic tundra, subarctic tundra, foresttundra, northern and middle taiga. Empirical selection of ecological-climatic factors has shown that the following factors have the most pronounced effect on distribution of vegetation cover of Yakutia: average temperatures of January and July, the sum of positive temperatures above 10 °C. Mathematic correlation of raster maps of the given factors with the vegetation map yielded ranges of temperature and elevation values that were most characteristic for each subzone. Having calculated derived values using map algebra, we simulated the spatial distribution of subzonal vegetation. Overlaying the vector map of vegetation of Yakutia has proved accurate subzone distribution in the model. This means that the abovementioned statistical samplings of temperature indices can be used for climatic characterization of each vegetation subzone. However, the model shows regions requiring special attention. They are represented by white, uncoloured patches between or within certain subzones. Analysis results of such uncharted areas state that they are characterized by a complex of temperature factors being non-typical for a given subzone. And revision of contour boundaries in these areas or vegetation types they represent is required using satellite imagery and literature data.</jats:p

: Application of Geoinformation Modeling Methods to Study the Spatial Structure of Vegetation Cover in the Orulgan Middle-Mountain Landscape Province (Northeastern Yakutia)

International audienceИзучена пространственная структура растительного покрова одной из высокогорных ландшафтных провинций Северо-Восточной Якутии. С помощью методов анализа данных дистанционного зондирования Земли и геоинформационного моделирования, включающих также и методы машинного обучения, было выделено 9 геоботанических картируемых подразделений, которые позволили построить и проанализировать геоботаническую карту масштаба 1:100 000

Vegetation cover analysis of the mountainous part of north-eastern Siberia by means of geoinformation modelling and machine learning (basic principles, approaches, technology and relation to geosystem science)

For the first time, the geoinformation modelling and machine learning approaches have been used to study the vegetation cover of the mountainous part of North-Eastern Siberia – the Orulgan medium-altitude mountain landscape province. These technologies allowed us to distinguish a number of mapping units that were used for creation and analysis of 1:100 000 scale vegetation map of the interpreted key area. Based on the studies, we decided upon the basic principles, approaches and technologies that would serve as a methodology basis for the further studies of vegetation cover of the large region. Relief, slope aspect, genetic types of sediments, and moisture conditions were selected as supplementary factors to the vegetative indices for differentiation of both plant communities and vegetation map units