A quantitative assessment of the current state of natural fodder areas located in the Turano-Uyuk basin (Tuva) was made. Vegetation monitoring was carried out on the basis of Terra Modis satellite data by the following indicators: normalized vegetation index, gross primary production (GPP) and evapotranspiration. The productivity of plant associations was compared, their growth rate and the degree of GPP dependence on the sum of temperatures and evapotranspiration were determined. The results of ground-based studies performed by generally accepted methods were used for verifi cation. Remote indicators of gross production for the growing season ranged from 33.3 t/ha for halophytic meadows, and up to 48.8 t/ ha for wetland habitats. Depending on the species composition, gross productivity of glycophytic meadows during the growing season was 39.9– 48.7 t/ ha. A comparison of the data showed signifi cant differences in the remote and actual productivity of fodder areas, which can be leveled by means of correlation with the ground-based indicators. The best results of the relationship between gross primary production and the vegetation index with the sum of positive temperatures were identifi ed by polynomial equations of the third degree. The maximum period of phytomass development of natural fodder areas (meadow communities) was recorded before the beginning of June. Biological and environmental differences in the growth of vegetation during the season were noted in the period from 10-11 June to 19-20 July. The decrease in the accumulation of gross primary production by mid-July and the end of September was caused by weather conditions. The optimal grazing periods in the meadows in the Turano-Uyuk basin were determined.
The article provides information about the level of species diversity, biological and ecological composition, the dynamic of the vegetation productivity of a green planting in the city of Abakan (the steppe zone). The inventory of the flora revealed 288 species of higher vascular plants from 59 families and 183 genera. The basis of flora is the angiosperms, including 57 families (96.6 %), 179 genera (97.8 %), 282 species (97.9 %). The leading positions belong to the families Asteraceae (11.8 %), Poaceae and Rosaceae (10.8 %), Fabaceae (7.3 %). The most important genera in the flora were boreal ones -Carex, Artemisia (2.8 %), Potentilla (1.7 %). The ecological analysis showed the predominance of mesophytes (45.5 %). Perennial plants with clustered fleshy roots and shortrhizomatous ones (21.5 %) were a main biomorph. The analysis of the primary production of urban vegetation according to Terra MODIS data from 2000 to 2018 was carried out. The highest seasonal growth rates observed in 2001 and 2007, and the lowest ones were in 2004 and 2008. The average annual growth rates were 115±9 % for May, 107±5 % for June, 107±5 % for July, 119±14 % for July, and 120±11 % for August. The positive trend in the productivity of urban vegetation was established using the series criteria.The city of Abakan (Khakasia) is located in the сentral part of the Minusinsk Basin (Uybat steppe) and covers an area of 112.87 km 2 . The city is located in an area with frequent inversions, which makes it difficult to disperse pollutants. The main types of green spaces in the city are parks, squares, street plantations and public lands, which occupy a third of the area. The collection of higher vascular plants was carried out by route method from Мay to early September from 2012 to 2017 to cover the periods of the flowering of different systematic groups. In the laboratory, the binary name of the collected plants was determined by the Flora of Siberia Т. 1 -14 (1987 -2003) [1].The source satellite data represented a common 8-day composite of growth primary production (GPP) [2]. For retrieving Terra MODIS data we used the site https://lpdaacsvc.cr.usgs.gov/appeears. In the paper a discrete one-dimensional time series for equidistant 8-day moments was considered. To characterize the series, we used the growth rate -the ratio of the subsequent level to the previous one (%).Several factors influence the formation of time series values:
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