The impact of temporal patterns of temperature and precipitation on silver Prussian carp (Carassius gibelio) spawning events Cover Image

The impact of temporal patterns of temperature and precipitation on silver Prussian carp (Carassius gibelio) spawning events
The impact of temporal patterns of temperature and precipitation on silver Prussian carp (Carassius gibelio) spawning events

Author(s): D. L. Bondarev, O. М. Kunah, M.P. Fedushko, N. L. Gubanova
Subject(s): Environmental Geography, Environmental interactions
Published by: Дніпропетровський національний університет імені Олеся Гончара
Keywords: spawning; temperature; precipitation; principal component analysis; phenology;

Summary/Abstract: It was revealed that Gibel carp, Carassius gibelio (Bloch, 1782) spawning phenology is determined by regular patterns of variability in temperature and precipitation over the period of time after spawning in the previous year. The sensitivity to temperature of water as a stimulus to spawning was shown as being dependent on the characteristics of the environment and fish development trajectories over the previous year. Information about fish spawning was collected in the Dnipro-Orylskiy Nature Reserve in the following locations: Nikolayev system of water bodies, River Protoch system and the Obukhov floodplain, the channel of the River Dnipro, water bodies of the Taromske ledge. The materials that formed the basis of this research were collected from the waters of the reserve in the years 1997–2018. There are dependencies between the air and water temperatures that have their own characteristics depending on the type of water body. These dependencies are described by a logistic equation. The temperature regime in water bodies of the Taromske ledge is very similar to the temperature regime of Nikolayev system of water bodies. The difference is that the spring period of the temperature increase in water bodies of the Taromske ledge comes earlier – in late February – early March. The air temperature dynamics over the year is described by the fourth degree polynomial. The residuals of the polynomial regression for each year were subjected to principal component analysis. The principal component analysis allowed us to identify 8 principal components of the temperature regimes, which together describe 59.2% of the variation of the residual of the polynomial trend. Deviations from the linear trend of the precipitation are systematic throughout the year, reflecting the uneven nature of rainfall during the year.

  • Issue Year: 27/2019
  • Issue No: 2
  • Page Range: 106-117
  • Page Count: 12
  • Language: English