Results 191 to 200 of about 18,282 (226)

Early Maastrichtian cheilostome bryozoans from the middle Volga River region

PalZ, 2020
Eight species in six genera of cheilostome bryozoans are described from an early Maastrichtian outcrop located in the Saratov Region, middle Volga River region, southern Russia. The studied bryozoan assemblage includes a new species, Cheethamia volgaensis sp.
Anna V. Koromyslova, Vladimir B. Seltser
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[Trematodes (Trematoda) of micromammals from Middle Volga region].

Parazitologiia, 2009
Data on all known currently trematodes, revealed in insectivores and muride rodents from the Middle Volga region are generalised and analysed in article. The description and original drawings of 10 parasites species are given. 2 helminth species (Brachylecithum rodentini, Corrigia vitta) were specified for micromammals from Volga basin for the first ...
N Iu, Kirillova, A A, Kirillov
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Geoinformation mapping of soil erosion in the Middle Volga region

Eurasian Soil Science, 2017
© 2017, Pleiades Publishing, Ltd.The results of a medium-scale geoinformation mapping of soil erosion on an area of about 150000 km2 in the Middle Volga region are analyzed using the catchment-based approach. A quantitative index of the development of soil erosion on the agricultural lands is suggested.
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Seeding alfalfa with smooth brome in the Middle Volga region

Кормопроизводство, 2023
Селекционную работу с люцерной изменчивой (Medicago × varia Mart.) проводили в 2019–2022 годах на полях лаборатории агротехнологии ФНЦ ЛК ОП «Пензенский НИИСХ». Цель исследований — изучить и выделить по комплексу хозяйственно ценных признаков образцы люцерны в смеси со злаковым компонентом (кострецом безостым), перспективные для возделывания в ...
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Alien Species in the Flora of the Middle Volga Region

2018
The article presents information on the diversity and structure of the alien flora of the Middle Volga region on the border between the steppe and forest-steppe zones of the European botanical and geographical province. In the studied area, we identified 440 alien species of plants (24.6% of the total floristic diversity), including 59 invasive and ...
Senator, S. A., Vasjukov, V. M., Saksonov, S. V., Novikova, L. A., Vorontsov, D. O.   +4 more
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Bioactivity of Soils of Forest Biogeocenoses in Middle Volga Region

Vestnik of Volga State University of Technology. Ser.: Forest. Ecology. Nature Management, 2018
На основе сформированной электронной базы данных оценены пределы изменчивости биологической активности почв лесных биогеоценозов Среднего Поволжья и установлены детерминирующие её факторы. Сделан вывод о том, что на интенсивность выделения СО2 из подстилок и почв в лабораторных условиях, косвенно отражающего их биологическую активность, статистически ...
Yuriy Demakov, Nail Nureev
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Agroecological Assessment of Arable Lands in the Middle Volga Region

Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring)
The article presents the results of a soil study in the Saratov Oblast, particularly in the Khvalynsk District. Soil-ecological and reclamation characteristics of the studied soils are provided. Sampling was conducted using the envelope method, and agrochemical analysis was performed in accordance with standard methodologies.
V. M. Gerasimova, V. M. Panova
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[Trematodes (Trematoda) of bats (Chiroptera) from the Middle Volga Region].

Parazitologiia, 2013
The data on species diversity of trematodes from bats collected in the Middle Volga Region are summarized. According to original and literary data, 20 trematode species were recorded in bats of the region examined. Plagiorchis elegans, Lecithodendrium skrjabini, L.
A A, Kirillov, N Iu, Kirillova, V P, Vekhnik   +2 more
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Petroleum research center in the Middle Volga region

Chemistry and Technology of Fuels and Oils, 1993
K. M. Badyshtova, K. V. Prokof'ev
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Forest disturbance assessment with Landsat data in Middle Volga region

Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 2019
The study presents the results of multistage of classification using supervised algorithm of Maximum Likelihood to assessment the forest using of multitemporal Landsat (summer-autumn) images for mapping cover disturbance in Middle Volga region. Analysis of the degree of forest cover disturbance was determined based on by biotic (fires, thematic map of ...
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