Diversity and dynamics of amphibians in floodplain ecosystems of the Samara river

Жуков, О. В.; Gubanova, N. L.

doi:10.15421/011510

Cited by 8 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The moisture content in the soil surface layer at the time of the study was 3.58±0.24 %. The bulk density of soil surface layer varied widely (from 0.33 to 1.48 g/cm 3 ). The macroaggregates larger than 10 mm, the proportion of which was 23.46 ± 0.98% (Fig.…”

Section: Figure 3 Spatial Variation Of the Soil Variables Within The Experimental Polygonmentioning

confidence: 99%

“…These ecosystems occupy a small part of the territory of the steppe zone of Ukraine, but there is a refuge of a large variety of soils, vegetation and animal communities [2]. The environmental processes occurring at landscape levels are directly reflected in the state of the floodplain ecosystems [3]. The small-scale variation of herb-layer community structure is affected by the soil properties, overstorey structural features and factors of the neutral nature.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Small-Scale Variation of Herb-Layer Community Structure in a Riparian Mixed Forest

Zhukova¹,

Demchuk

Yorkina

et al. 2021

ILNS

View full text Add to dashboard Cite

The role of spatial variables, soil properties and overstorey structure in spatial variation of the herb-layer community in a riparian mixed forest was shown. The research were conducted in the "Dnipro-Orils’kiy" Nature Reserve (Ukraine). The research polygon was laid in a forest in the floodplain of the River Protich, which is a left inflow of the River Dnipro. Plant abundance was quantified by measuring cover within experimental polygon. The experimental polygon consisted of 7 transects and each transect was made up of 15 test points. The distance between rows in the site was 3 m. At the site we established a plot of 45×21 m, with 105 subplots of 3×3 m organized in a regular grid. Vascular plant species lists were recorded for each 3×3 m subplot along with visual estimates of species cover projection. The plant community was represented by 43 species, of which 18.6% were phanerophytes, 39.5% were hemikriptophytes, 9.3% were therophytes, 7.0% were geophytes. An overall test of random labelling revealed the total nonrandom distribution of the tree stems within the site. Constrained correspondence analysis (CCA) was applied as ordination approach. The forward selection procedure allowed us to select 6 soil variables, which explain 28.3% of the herb-layer community variability. The list of the important soil variables includes soil mechanical impedance (at the depth 0–5, 30–35, 75–80, and 95–10 cm), soil moisture, and soil bulk density. The variation explained by pure spatial variables is equal to 11.0 %. The majority of the tree-distance structured variation in plant community composition was broad-scaled. The significant relationship was found between the pure spatial component of the community variation and a lot of phytoindicator estimations of which the variability of damping and humidity were of the greatest importance. Trees stand was demonstrated to be a considerable factor structuring both the herb-layer community and spatial variation of the physical properties of soil.

show abstract

Section: Figure 3 Spatial Variation Of the Soil Variables Within The Experimental Polygonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Small-Scale Variation of Herb-Layer Community Structure in a Riparian Mixed Forest

Zhukova¹,

Demchuk

Yorkina

et al. 2021

ILNS

View full text Add to dashboard Cite

show abstract

“…Earlier studies of fish have shown that climate change has significant relationships with species range shifts (Chu et al, 2005;Sokolov, & Zhukov, 2014;Sokolov & Zhukov, 2016), recruitment (Ficke et al, 2007, Sokolov & Zhukov, 2017, fecundity (Sundby & Nakken, 2008;Zhukov & Gubanova, 2015a), and abundance (Kallemeyn, 1987;Wingate & Secor, 2008, Zhukov & Gubanova, 2015b, but few have documented climate effects on the timing of spawning in fishes (Bondarev & Zhukov, 2017). The "match-mismatch hypothesis" assumes that the onset and duration of fish spawning and thus the temporal appearance of their larvae are relatively constant each year.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

Self Cite

View full text Add to dashboard Cite

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. The residuals of linear trend regression models of cumulative precipitation can be used as indicators of the dynamics characteristic of precipitation during the year. The residuals were used for principal component analysis, which revealed that the dynamics of the precipitation can be divided into five orthogonal principal components. The first five principal components explain 82.6% of the feature space variation. The timing of the onset of C. gibelio spawning in 95% of cases occurs on the 113–139th days of the year (on average, it takes place on the 125th day). Regression analysis revealed that the climate principal components and types of the lake systems can explain 79% of the variation in the timing of the onset of C. gibelio spawning. The water temperature at the time of C. gibelio spawning was exposed to natural dynamics in year aspect. The local minimum of the onset of spawning temperatures occured in the mid 2000s. Total of 69% of the water temperature variation at which spawning begins can be described by climatic predictors and water biotope types. The variation explained by some temperature principal components may be increased considerably after including as covariates such variables as the precipitation principal component and the biotope type. This principal component which represents the high frequency variation of the air temperature regime with a characteristic period 20 and 45 days has the highest explanation ability of all the components and is a constant explanatory predictor for all considered spawning characteristics.

show abstract

“…К их числу можно отнести пространственно распределенные факторы среды, которые структурируют сообщества в соответствии с теорией экологической ниши (Hutchinson, 1957(Hutchinson, , 1965. Также важно отметить, что на некоторых пространственных уровнях в структурировании группировок видов играют важную роль межвидовые взаимодействия (Schoener, 1974;Wilson, Habiba, 1995;Belyea, Lancaster, 1999;Zhukov, Gubanova, 2015). Межвидовые взаимодействия могут привести к двум противоположным типам динамики.…”

Section: Introductionunclassified

The spatial scaling of impact in edaphic and plant factors on the structuring of the soil macrofauna community

Dubinina¹

2018

abs

View full text Add to dashboard Cite

In this paper, the role of edaphic factors and plant, as well as the spatial variables was revealed in the structuring of the forest biogeocenosis soil macrofauna community in the river Dnepr arena within the nature reserve of "Dnepr-Orelsky" (Ukraine). 44 species of soil animals were found in the test polygon after manual sorting of soil samples. The density of the soil macrofauna in studied polygon is 321.5 ± 43.2 ind./m 2. It is shown that the soil macrofauna community is structured under the influence of edaphic, plant and spatial factors. The role of these factors is different at fine-scale, medium-scale and broad-scale spatial levels. The variation of the community structure under the influence of edaphic and plant factors can be classified as deterministic processes, which is carried out within the framework of the ecological niche theory. The spatial component of the variation can be attributed to the result of the neutral nature of the factors. However, it should be noted that the spatial variation of plant community also is subject to the deterministic and neutral control. This manifests itself in the spatial structuring of plant factors. The spatial variation of soil properties has a similar nature. Soil as environment undergoes structuring influence of vegetation, where there are spatial patterns of soil properties. Scale effects of variation in space manifest themselves in different ways for the representatives of different ecological groups of macrofauna. For litter forms the most characteristic spatial patterns on large and medium-scale level, and for proper soil and burrowing forms-on fine-scale level.

show abstract

Diversity and dynamics of amphibians in floodplain ecosystems of the Samara river

Cited by 8 publications

References 20 publications

The Small-Scale Variation of Herb-Layer Community Structure in a Riparian Mixed Forest

The Small-Scale Variation of Herb-Layer Community Structure in a Riparian Mixed Forest

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

The spatial scaling of impact in edaphic and plant factors on the structuring of the soil macrofauna community

Contact Info

Product

Resources

About