Updated: 2025-12-08
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0218U006465, 0117U002747 , R & D reports
Study of structural and functional stability of the dominant type of site as a basis for the conservation of biotic and landscape diversity in the conditions of anthropogenic changes in the environment.
Kozlovsky Mykola Pavlovych, Доктор біологічних наук
16-05-2018
Institute of the Ecology of the Carpathians NAS Ukraine
Field studies of spatial differentiation of dominant types of habitats of model polygons in western regions of Ukraine (Karpaty, Volyn-Podolye, Western Polissya) have been carried out, and a database on structural and functional parameters of dominant habitat types has been started. The natural-historical prerequisites for the formation of dominant habitat types and their inherent groupings based on spore-pollen analysis are analyzed. During the reporting year, an appraisal of the supplemented scale of assessment of the generalized soil bioproductivity index for the assessment of the functional stability of dominant habitat types was carried out using the example of a model polygon in Podillia (NPP Severnoye Podillya). Prepared cartographic bases for displaying basic information on spatial structure, time dynamics and functional parameters of dominant habitat types. Based on the analysis of the parameters of the functional dominance of certain habitat types in the aspect of assessing the specific features of regional biodiversity, it is shown that the dominant types of habitats themselves determine the biogeographical, historical and ecological characteristics of the rare constituent of the region's biota. At the same time, it was revealed that the already ecological amplitude of the formation and functioning of a certain type of habitat and the original and specific abiotic conditions of its formation, the greater contribution it makes to the formation of a rare nucleus of phyto and zoobiota in the region. Approbation of the developed methods of forming a database of ecological and food characteristics of dominant habitat types of model polygons using their geospatial visualization for modeling dynamic trends was carried out.5481
Андрєєва О.О.
Башта А.-Т.В.
Данилик І.М.
Кагало О.О.
Канарський Ю.В.
Сосновська С.В.
Шпаківська І.М.
2020-04-02
Updated: 2025-12-08
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