| Literature DB >> 30976631 |
Gasan Gasanov1,2, Tatiana Asvarova1, Kamil Hajiyev1, Rashid Bashirov1, Aishat Abdulaeva1, Zaira Akhmedova1, Shamil Salikhov1, Nurjagan Ramazanova1, Viktoriya Semenova1, Radjab Usmanov1, Aytemir Aytemirov2, Magomed Musaev3, Nurulislan Magomedov4.
Abstract
The data of the researches describes the were to establish the species composition of pasture cenoses and the productivity potential of light-chestnut and meadow-chestnut soils under different climatic conditions and in different periods of the year in the Terek-Kuma lowland of the North-Western Precaspian. Two peaks of productivity of phytocoenosis have been observed: the first is - ephemeral synusia in the middle of May- early June; second - motley grass and saltworts in the second half of September. The data on receipt of photosynthetically active radiation (PAR) on the soil surface and the coefficient of its use over the years and periods of the year depending on the hydrothermal conditions and dynamics of harmful salts in the soil are given. On light-chestnut soil formed cereals-wormwood, grass-cereals, wormwood-ephemeral in combination with wormwood-saltworts association, and meadow-chestnut soil - ephemera-wormwood. The phytocenosis on light-chestnut soil is inherent in the maximum species diversity - 35 species. On meadow-chestnut soil there are only 25 species. The items of the changes in the species composition of phytocenoses depending on the environmental factors are considered. The data in this article support and augment information presented in the research articles [1], [2], [3], [4], [5], [6], [7].Entities:
Keywords: Aboveground and underground phytomass; Aridity integral; Coefficient the use of the FAR; Hydrothermal conditions; Integral moisture; Light-chestnut soil; Meadow-chestnut soil; Productivity of phytomass; Salinity; Salt-forming ions; Species composition phytocenosis
Year: 2019 PMID: 30976631 PMCID: PMC6441725 DOI: 10.1016/j.dib.2019.103713
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Fig. 1The geographical coordinates of the experimental sites were determined using GPS-Navigator, which corresponded to the light chestnut and meadow-chestnut soils – Google Earth Pro 44.40848 46.24652.
Characteristic of plant communities in terms of conservation and the natural regime of the Terek-Kuma lowland 2011–2018.
| Soil | Light-chestnut | Meadow-chestnut |
| Plant community | Ephemeroid-wormwood- cereal | Grass-wormwood |
| Edifiers, dominants, and other types of grass cover plants | ||
| Number of views per 1 m2 | 14–20 | 8–13 |
| Height of grass, cm | 30–60 | 20–45 |
| Projective cover, % | 70–80 | 40–60 |
| Plant groups: cereals, % | 50–60 | 10–20 |
| Wormwood, % | 15–30 | 30–50 |
| Solyanka, % | 5–8 | 5–7 |
| Herbs, % | 10–15 | 5–10 |
| Half-shrubs, % | 1–7 | 1–5 |
| Number of views per 1 m2 | 7–8 | 5–7 |
| Height of grass, cm | 10–20 | 10–25 |
| Projective cover, % | 30–50 | 30–60 |
| Plant groups: cereals, % | 15–25 | 10–20 |
| Wormwood, % | 30–50 | 30–60 |
| Solyanka, % | 5–7 | 5–6 |
| Herbs, % | 5–8 | 4–6 |
| Half-shrubs, % | 1–5 | 1–4 |
Fig. 2Content of life forms in plant communities of light chestnut and meadow chestnut soils of KBS for 2015–2018 years: a- reserved regime; b-natural regime.
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| Related research article |
The datasets were obtained during the years 2011–2018 in the pasture areas of the North-Western Precaspian region in semi-desert conditions. This is an important region of livestock and crop production for Russia. The established patterns of formation of aboveground and underground phytomass is the basis for the rational management of production processes in natural and artificially modified ecosystems, for improving soil fertility and landscape productivity. The data can serve as a benchmark for future research on the formation of the species composition and productivity of phytomass not only in the North-Western Precaspian under the action of various environmental factors but also in other semi-arid regions. These data can be used for the organization of sustainable pasture systems when allocating land for haymaking. These data can be useful in a statistical approach to analysis, in calculating the integral of moisture, integral of aridity, coefficient the use of photosynthetically active radiation (PAR), regression equations and various mathematical dependencies. |