This paper attempts to define the dynamics of the surface storage in water circulation in brackish marshes located in the contact zone of the land and sea. This study estimated the quantity of water stored in the area of the Beka reserve during mapping between December 2011 and December 2013. The study area is characterized by the simultaneous influence of marine and fresh waters. The hydrographic situations observed in the area of the Beka reserve are a momentary picture of the surface storage. The maximum retention periods of surface water on the Beka reserve include nearly 40% of the marsh area. The main source of supply of such large quantities of water is not only the atmospheric supply, but also the seawater inflow, particularly often observed during the autumn–winter storms in the Baltic Sea, as well as other periodic flooding of water from the rivers, canals and ditches located within the reserve. At other times, the area occupied by the surface water is, on average, from ca. 2% to nearly 12%. Only in the summer periods is a decrease in the surface (below 1%) observed due to the strong evapotranspiration in the study area.

Wetland areas are very complex entities, which are part of the geographic environment due to a variety of natural and anthropogenic factors as well as various processes affecting the circulation of water within them. The acquisition of hydrologic information on their resources and functioning makes it possible to generate forecasts about their future (Haines 2013). This is shown in research by Li et al. (2015), who argue that the monitoring of the dynamics of any changes in hydrologic conditions via spatial and temporal data, which includes water retention capacity of seasonally flooded wetland areas, is very important in the management of water resources and protection of biodiversity in wetland areas. The economic significance of these areas lies primarily in their ability to retain large amounts of water (Vymazal 2011; Powers et al. 2012; Winston et al. 2013) as well as their wealth of water- and mud-loving plant species (Álvarez-Rogel et al. 2006; Touchette 2006; Antonellini & Mollema 2010; Guan et al. 2011).

Wetland areas serve as a place where freshwater mixes with saltwater from the sea. It is this process of water exchange that yields the hydrologic regime of wetland areas (Selle et al. 2016). According to Selle et al. (2016), the most important determinant in this case is the intrusion of saltwater, which is affected by the influx of local groundwater and atmospheric precipitation as well as the influx of relatively new groundwater from the land side. Euliss et al. (2014) also note that the functioning of salty wetland areas is determined primarily by the influx of saltwater, which arrives from both surface and underground sources. The long-term relationship between surface water and groundwater impacts the total quantity of water in a given wetland area. The water balance may become disrupted by dynamically changing climate cycles (Euliss et al. 2014). On the other hand, Kimberly (2016) believes that the hydrology of wetland areas is determined primarily by fluctuations in the sea level.

This applies both to current and historical patterns. The inflow of groundwater is also very important in the functioning of wetland areas, although often omitted in research studies. According to Price et al. (2013), the peak influx of groundwater to wetland areas can be observed in May, June, and July, while the lowest influx is observed from September to February. In addition, wetland areas are intimately (hydrologically) connected with rivers flowing through them. This is especially true of bigger rivers that periodically or continuously flood wetland areas during high water stages. Most of these rivers follow a natural course, although some have been regulated by man (Robinson et al. 2015). On the other hand, Collins et al. (2014) argue that the vertical exchange of water plays a key role in the survival and functioning of wetland areas. This is especially true of atmospheric precipitation – the effect of which can be easily observed when comparing the wet season and dry season – during which, water levels decrease significantly.

Wetland areas are still evolving and continue to face threats such as extreme events in the form of storm waves and human impact. The former is caused by frequent changes in the sea level and dynamically changing meteorological conditions. This may produce changes in the topography of wetland areas and even their gradual disappearance (Ward et al. 2014).

In the literature we can find a number of classifications of wetlands (Bolen et al. 1989; Dahl 2000). Authors base it on the nature of water supply, wetland location or origin as well as the type of water feeding the area. One of the divisions proposed by researchers from the United States (Bolen et al. 1989) is the division into freshwater wetlands and brackish wetlands. Included here are the areas which, as a result of the specific features of the geological structure or due to local environmental factors, have a natural supply of water or are periodically inundated by a river or the sea, and have a connection with groundwater and lie above aquifers. They are often covered with water throughout part of the year, thus providing an intermediate form between water and land ecosystems. As part of these wetlands, subtypes have been delimited, which include swamps, marshes, bogs and fens. Marshes are freshwater or brackish marshes, flooded by a layer of water of a thickness of 33 to 200 cm, containing a variety of perennials, with grass, flowers, shrubs, and rare trees (Cowardin et al. 1979; Cartaxana et al. 1999; Farrier & Tucker 2004; Hofstede 2004). These wetlands constitute plant and animal habitats. Marches are divided into marches with tides and without tides, and the latter include wet meadows, prairie kettles, spring pools, and lake marches (Boorman 1999).

According to Hofstede (2004), salt or brackish marshes located at the mouths of rivers are very important types of wetlands. These are areas located in the coastal zone, where a two-way exchange of water takes place through the existing stream currents. In these areas, as a result of sea activity, swampy and heavily salted ground occurs, which is favourable for halophilic plants. Brooks et al. (2011) classify wetlands due to the dominance of one of the elements that occurs there, i.e., sources of water, dynamics of the flow and the dominance of hydrophytes. Whichever the classifications, we should remember that the most important function of wetlands is retention. It needs to be noted that the hydrological conditions prevailing there are closely related to the relief as well as the meteorological and hydrographic conditions (Brooks 2004).

Wetlands observed throughout the world are diverse and variable, mainly due to the regional and local specificities of the environment: topography, morphology hydrographic objects, climate zone, hydrology, vegetation, as well as other factors that may be directly or indirectly related to human activity (Belletti et al. 2015).

The functioning of these areas depends on natural factors such as periodic, direct intrusions of sea water to the main hydrographic objects of the reserve, as well as brackish water spilling over the embankment (Jarrell et al. 2016). On the other hand, for proper functioning, salty wetlands need constant human intervention, both in a direct form of active conservation such as cattle grazing, vegetation mowing or drainage, and in an indirect form such as the influence of agriculture and constant expansion of housing estates in the immediate vicinity of reserves (Kirwan & Guntenspergen 2012; Howard et al. 2016). Also very important is the relationship between surface water and groundwater. Groundwater–surface water interactions cover a broad range of hydrogeological and biological processes and are controlled by natural and anthropogenic factors at various spatio-temporal scales (Sam & Ridd 1998; Bertrand et al. 2014).

The main purpose of this work is to determine the dynamics of the surface retention in water circulation in salt marshes located in the contact zone of the land and sea.

Determination of the duration and frequency of water occurrence in the form of stagnant water reservoirs in the study area, provides the grounds to describe one of the phases of the water circulation, namely the surface retention.

Surface storage is the part of precipitation retained temporarily at the ground surface as interception or depression storage, so that it does not appear as infiltration or surface runoff either during the rainfall period or shortly thereafter. It is also known as initial detention or surface retention (Golden et al. 2014).

Based on this definition and the work, it was assumed that the surface retention of wetlands includes water retention in small hollows in the ground, such as depressions in cultivated fields. These hollows must, however, be large enough to be measured during hydrographic mapping. Water bound in surface formations and filling micro depressions was omitted (Hayashi et al. 2016).

The term stagnant water reservoir is understood in this paper as an area located in natural or artificial hollows, permanently or periodically filled with water from precipitation, disappearing wetlands, marine supply, glacial meltwater activity, etc. In addition, in this paper, for the specification of the area of a stagnant water reservoir, only the free water surface that is devoid of vegetation, was taken into consideration (Döll et al. 2012).

The next goal of the work is to determine the role of wetlands in the retention of surface waters and to identify conditions affecting it. An additional aim is to investigate the seasonal variations of the surface water retention and determination of residual waters and to determine its volume.

The time span of the research on the surface retention in the reserve covers the results of archival research conducted in this area by the Department of Hydrology of the University of Gdańsk in 2003 and the research conducted from 2011 to the present day.

Location

Beka reserve is located on the Polish coast of the southern Baltic Sea. The area of the Beka reserve is approximately 193 ha and is constantly changing due to the accumulation and erosion processes occurring in the coastal zone (Figure 1).

Figure 1

Location of the Beka reserve.

Figure 1

Location of the Beka reserve.

Close modal

The reserve is bounded on the east by Puck Bay, on the west by an artificially delineated flood embankment, on the north by the Mrzeziński Canal (flowing at the foot of the Puck Morainic Plateau) and on the south by the river Zagórska Struga together with the Łyski Canal.

The study area is located at the mouth of the Reda glacial valley in Puck Bay.

Terrain and soil

Distinctive land forms in this area are the contemporary Reda River estuary cone and the much smaller Zagórska Struga estuary cone, the former Reda river estuary cone levelled by shore processes, former and contemporary embankments and small dune forms, a part of the diluvial shelf at the foot of the slopes of the Puck Plateau. The coastline, with a length of about 3 km, is fairly well developed here and bends towards the mainland. It was formed by wave processes. The shore in this area is composed of river alluvia and marsh-limnic formations with a low resistance to abrasion.

The Beka reserve is an example of flat ground. It is separated from Puck Bay by the embankment with a width of up to 5 m and up to 0.5 m thick, over which sea water spills during storms.

In the study area, the major soil formation process until the mid-19th century was the process of swamping. The strongest influence on its direction and pace was exerted by flooding of the River Reda, the dynamics of water flow in the main hydrographic objects, brackish water intrusions from Puck Bay and vegetation development.

During the river floodings and high water levels in the bay, anaerobic conditions prevailed in the delta of the Reda and Zagórska Struga, leading to a build-up of low peat layers. However, in the last century, human activity has had a noticeable impact on the processes of soil formation. It consisted of drainage works and peat exploitation for heating purposes. Despite constant economic use, the bog processes were interrupted only in a layer reaching up to 20–30 cm. This is due to the persisting high groundwater level, favourable for the process of secondary swamping.

The current thickness of the peat deposit only locally exceeds 3 m, and it is poorly diversified. It consists of peat mass filled with remnants of peat moss, reeds and sedges.

Hydrological conditions

Surface water and groundwater in the area remain in a close hydrological relation. This is apparent through the drop in groundwater levels at the same time as the drop in the surface waters. The groundwater level is also affected by Puck Bay, with which the water remains in a hydraulic correlation. The aquifer is supplied via the runoff from the area of the plateau edge and through infusions of seawater from the Gulf of Puck when the emergency state is exceeded, usually for meteorological reasons. In contrast, it is additionally fed by precipitation.

The main watercourse in the area is the River Reda, with part of its waters flowing in the Zagórska Struga (Łyski Canal), after being divided by the weir in the town of Reda. The River Reda with Zagórska Struga creates a constantly expanding multi-armed delta, protruding beyond the coastline, growing towards Puck Bay, where the dominant factor of its formation was river processes. A characteristic feature of the area are the permanent and temporary stagnant water reservoirs. The permanent reservoirs include Ewa Pool, located in the central part of the reserve, and the reservoir commonly known as the Lagoon (Figure 2). The hydrographic network of the reserve also includes a dense network of drainage ditches. Periodically, as a result of storm or torrential rains, the waters from the main hydrographic objects of the reserve or directly from Puck Bay can spill out, resulting in the formation of backwater pools, which can remain in the area for up to several weeks.

Figure 2

Hydrographic network of the Beka reserve.

Figure 2

Hydrographic network of the Beka reserve.

Close modal

Within the Quaternary formations in the Beka area there is one Pleistocene–Holocene aquifer, consisting of sands of varying grain size, in the bottom level with an admixture of gravel and pebbles (Figure 3). Their thickness ranges from 20 to 30 m. The aquifer occurs about 0.5 m under the terrain level. The mean hydraulic conductivity is 6.59 m h−1. The aquifer is supplied by water runoff from the edge area of the plateau or by precipitation, from the north, west and south-west.

Figure 3

Schematic diagram of the geological structure and the estimated water circulation in the Reda delta (Błaszkowska et al. 1996).

Figure 3

Schematic diagram of the geological structure and the estimated water circulation in the Reda delta (Błaszkowska et al. 1996).

Close modal

In the area of the Beka reserve, two trends of groundwater direction of vector value arrangements can be observed. In one case, direction of a vector value is arranged from the wetland area in the direction of the Puck Bay coastline. Such systems are observed mainly in the warm season (summer) (Figure 4). On the other hand, the groundwater direction of a vector value is arranged from the shoreline into the brackish marshes. This trend is observed mainly in the autumn–winter season (Figure 5).

Figure 4

Arrangement of groundwater table and its theoretical course in July 2003; A, C, D, E are measurement points.

Figure 4

Arrangement of groundwater table and its theoretical course in July 2003; A, C, D, E are measurement points.

Close modal
Figure 5

Arrangement of groundwater table and its theoretical course in November 2003; A, C, D, E are measurement points.

Figure 5

Arrangement of groundwater table and its theoretical course in November 2003; A, C, D, E are measurement points.

Close modal

Climatic conditions

The essential feature of the climate of the area is a large variation in weather conditions in the diurnal and annual cycles. The warming influence of the Gulf of Puck waters is indicated by the observations of the average annual air temperatures, which range from 6.5 to 7.5 °C. During the year, the average lowest temperatures occur in January and February (−1.3 °C), while the highest are recorded in July and August (+17 °C).

The assessment of precipitation conditions in the Beka reserve is based on data from the Institute of Meteorology and Water Management precipitation station in Gdynia (1951–2001) due to the fact it has a similar coastal location. The tabular statement shows the monthly and annual precipitation totals in the average (A), wet (H) and dry (D) years and for the multi-annual period of time (Table 1). For the Gdynia weather station, a wet year was 1970 with 700 mm of precipitation, which is 130% deviation from the average precipitation rate of the total annual precipitation; an example of a dry year is 1969, when there was 347 mm of precipitation, which is 65% of the normal year. The area of the reserve has a small sum of precipitation during the year – it is less than 550 mm. This is due to its location in the rain shadow of the plateau of the Kashubian Lake District. The highest precipitation is recorded in the summer months, especially in June and July. The lowest precipitation occurs in the winter half-year, but it is higher in autumn than in spring.

Table 1

Summary of precipitation in average (A), dry (D) and wet (H) years

Precipitation stationMonthly precipitation totals [mm]
Year
XIXIIIIIIIIIVVVIVIIVIIIIXX
Gdynia 47 40 31 24 26 33 46 56 68 63 57 47 536 
1969 51 15 85 27 23 71 16 43 347 
1970 99 19 27 29 69 54 38 107 97 82 76 700 
2013  99 32 61 32 19 38 100 54 69 71 121 54 750 
Precipitation stationMonthly precipitation totals [mm]
Year
XIXIIIIIIIIIVVVIVIIVIIIIXX
Gdynia 47 40 31 24 26 33 46 56 68 63 57 47 536 
1969 51 15 85 27 23 71 16 43 347 
1970 99 19 27 29 69 54 38 107 97 82 76 700 
2013  99 32 61 32 19 38 100 54 69 71 121 54 750 

An important weather element for the reserve is the wind which determines the rate of inflow of saline water into Beka. Over the year, south-west, west and north winds predominate (ca. 60%). Moderate winds prevail. From November to January the highest average monthly wind speed is recorded (5–6 m s−1), and from April to July the weakest (3–4 m s−1).

Vegetation

The Beka nature reserve is one of the few wetlands in the southern area of the Baltic Sea, which in terms of biotic and abiotic features, is unique not only in Poland but even in Europe. This is an area that is under the constant influence of two environments (the sea and land), which have a strong imprint on its natural environment and water relations. As a result, rare to the Polish coast, halophilous flora can be observed here (i.e., saltmarsh rush Juncus gerardii, black saltwort Glaux maritima, sea arrowgrass Triglochin maritima, sea plantain Plantago maritima) and water-mud fauna (i.e., dunlin Calidris alpina, Eurasian bittern Botaurus stellaris, greylag goose Anser anser, common shelduck Tadorna tadorna, red-breasted merganser Mergus serrator, western marsh harrier Circus aeruginosus), hen harrier Circus cyaneus, Montagu's harrier Circus pygargus) (Hulisz et al. 2012; Lazarus & Wszałek-Rożek 2016).

The examination procedure, apart from the source material survey, was based on field research. As part of the field research, research ground was selected for the mapping. The designated research ground (132 ha) covers a part of the reserve, from its northern edge to the River Reda in the south.

The surface retention was not analysed throughout the entire area of the reserve, as previous studies conducted by the Department of Hydrology of the University of Gdańsk showed that the area south of the River Reda is characterized by different hydrological relationships from the rest of the area. It is heavily wooded, and in comparison to the rest of the area, the waters of this part of the reserve are fresh. In addition, the majority of procedures related to the active protection focuses precisely on the designated research ground.

The results of measurements of the area and depth of the flood and stagnant water reservoirs were used to calculate their volume. The formulas for cone (Vs) and bowl (Vc) volumes were used to calculate the arithmetic mean (Penck 1894; Major 2012; Zou et al. 2015):
where P is area and h is depth.

During the mapping conducted in 2011–2013, a (GARMIN) GPS was used to accurately verify the location and area of the formed stagnant water reservoirs. The water depth in each reservoir was measured using a calibrated pole. The obtained morphometric data were stored in an MS Excel database. The maps showing the location of the reservoirs were created using the ArcGIS 10.1 program.

Field surveys were conducted once per quarter in 2012 and 2013. The work was done on days without precipitation, as any precipitation would disrupt measurements of retention at the surface. Other types of meteorological conditions did not affect field measurements to a meaningful degree.

The study was based on a digital terrain model (DTM) of the structure GRID. The model is based on a point of land cover laser scan made in 2011. The pixel size of the model is 1 meter at a density of points, 4 points/m2. GRID is the most commonly used GIS model. Typically, it is stored in the form of a grid. Each point (matrix element) contains the average value of the elevation altitude primary field size dependent on the chosen spatial resolution of the model.

The stagnant water reservoirs in the Beka reserve were formed in the immediate vicinity of the main canals and drainage ditches and behind the embankment. The biggest reservoirs occurred along the central axis of the reserve, i.e., the Beka Canal. This is the broadest and deepest canal to be cleaned regularly. Some other permanent objects were observed in the analysed area. One of the elements is the Ewa Pool, which is located in the central-western part of the research ground. In conditions of strong waterlogging of the area, pastures to the south of the Beka Canal were flooded.

In December 2003, the observed area of reservoirs was 6 ha and in December 2011, it was 18 ha, which is 4.5% and 14% of the research ground, respectively (Figure 6). These are only the reservoirs with observed free water surface. The mean volume of water stored on the surface of the ground in the stagnation reservoirs amounted to 7,104 m3 on 12.12.2003 and 19,020 m3 on 6.12.2011.

Figure 6

Stagnant water reservoirs in December 2003 and 2011: 1, research area and 2, stagnant water reservoirs.

Figure 6

Stagnant water reservoirs in December 2003 and 2011: 1, research area and 2, stagnant water reservoirs.

Close modal

During the observations carried out in 2012, the smallest quantity of water was observed during the mapping in May and July. The area of reservoirs was 0.4 ha and 1.4 ha, respectively, which accounted for 0.3% and 1% of the research ground (Figure 7). Water remained only in the permanent hollows between the Beka and Jana Canals.

Figure 7

Stagnation reservoirs observed in 2012: 1, research area and 2, stagnant water reservoirs.

Figure 7

Stagnation reservoirs observed in 2012: 1, research area and 2, stagnant water reservoirs.

Close modal

The highest mean monthly sea levels in the Puck Bay occur in September and December. This is a typical storm period for northern Polish regions. After the September storms, the hydrological situation in the reserve changed significantly and in October vast flood reservoirs were formed, occupying about 15 ha, which is 12% of the research ground. They were mainly stagnation reservoirs stretching south of the Beka Canal. It should be noted that the October situation, depicted in Figure 8, concerns only the reservoirs with free water surface. In fact, pastures in this area were entirely in a state of strong waterlogging.

Figure 8

Stagnation reservoirs observed in 2013: 1, research area and 2, stagnant water reservoirs.

Figure 8

Stagnation reservoirs observed in 2013: 1, research area and 2, stagnant water reservoirs.

Close modal

The mean volume of water stored on the surface in the reservoirs ranged from 331 m3 in May to 11,805 m3 in October.

To better illustrate the size of the retention at different times of measurement, Figures 911 show the surface water retention in the Beka reserve against the DTM.

Figure 9

Stagnant water reservoirs in December 2003 and 2011 against the background of the DTM: 1, research area and 2, stagnant water reservoirs.

Figure 9

Stagnant water reservoirs in December 2003 and 2011 against the background of the DTM: 1, research area and 2, stagnant water reservoirs.

Close modal
Figure 10

Stagnation reservoirs observed in 2012 against the background of the DTM: 1, research area; and 2, stagnant water reservoirs.

Figure 10

Stagnation reservoirs observed in 2012 against the background of the DTM: 1, research area; and 2, stagnant water reservoirs.

Close modal
Figure 11

Stagnation reservoirs observed in 2013 against the background of the DTM: 1, research area and 2, stagnant water reservoirs.

Figure 11

Stagnation reservoirs observed in 2013 against the background of the DTM: 1, research area and 2, stagnant water reservoirs.

Close modal

The hydrological situation in the following year looked similar. A slight increase was observed in the surface retention after the disappearance of the ice cover in late spring. Then, with the beginning of the growing season and increased evapotranspiration, the surface water resources decreased. Water in the form of surface retention disappears from the surface of the area during the summer months. It reappears in the reserve during the autumn storms.

In 2013, the first mapping took place in the relatively late spring, April 24, due to the long-lasting ice cover. During this time, the surface area of the marshes was 6 ha, which accounted for less than 5% of the research ground. Hollows formed mainly between the two canals, which are connected by a network of microdepressions. Frequently, these microdepressions were excellent reservoirs of stagnant water. A similar hydrological situation was observed during the mapping in the late autumn, i.e., on October 24, basically just before the beginning of the autumn storm season. The surface area of the hollows was slightly larger – 6.5 ha, which accounted for 4.5% of the area. The smallest surface area taken by the water was recorded during field trips in June and August; the water-covered areas accounted for only 1 ha and 0.09 ha, which accounted for, respectively, 0.8 and 0.1% of the surface area included in the research.

During the December fieldtrip, due to the beginning of the ice cover and a low stability of highly waterlogged land, the mapping process was limited to the reconnaissance assessment of the water-covered surface without a thorough delimitation of their borders by the GPS; their depth was also not measured. The surface of the observed water-covered area was more than 50 ha, i.e., occupied 40% of the studied ground.

Such an abrupt increase in surface retention was observed in the study area following the exit of a major storm dubbed Ksawery. The effects of the storm were noted in the study area between December 4, 2013 and December 10, 2013 and included 38 mm of precipitation or 64% of the precipitation total for December. In addition, a large increase in the sea level in Puck Bay was also noted. The first day of the storm brought a 9 cm increase in the sea level in the city of Puck relative to the day before. The sea level reached an alert stage on December 7, 2013 at 573 cm. Table 2 lists hydrometeorological data noted in December 2013.

Table 2

Hydrometeorological situation in December 2013

XII 2013RainAverage wind speedDominant directionMean sea level Puck
2.5 1.3 SW 525 
0.7 544 
0.9 SW 517 
0.5 1.2 SW 526 
4.6 2.1 SW 527 
1.8 1.5 SW 540 
0.3 0.2 WNW 573 
12.2 SW 559 
17.3 0.4 NW 555 
10 1.5 SW 536 
11 0.5 SW 537 
12 0.6 SW 532 
13 0.5 0.4 SW 544 
14 2.8 0.1 SSW 544 
15 1.8 0.8 SW 533 
16 1.1 SW 527 
17 0.7 SW 532 
18 0.4 545 
19 SSW 529 
20 0.5 SW 529 
21 1.7 SW 527 
22 1.7 SW 521 
23 5.8 1.3 SW 530 
24 2.5 SSW 523 
25 0.3 SSW 525 
26 0.2 540 
27 1.8 SSW 535 
28 0.8 2.3 SSW 525 
29 4.6 0.4 SSW 531 
30 0.5 0.8 SW 529 
31 SSW 525 
 60 SW 534 
XII 2013RainAverage wind speedDominant directionMean sea level Puck
2.5 1.3 SW 525 
0.7 544 
0.9 SW 517 
0.5 1.2 SW 526 
4.6 2.1 SW 527 
1.8 1.5 SW 540 
0.3 0.2 WNW 573 
12.2 SW 559 
17.3 0.4 NW 555 
10 1.5 SW 536 
11 0.5 SW 537 
12 0.6 SW 532 
13 0.5 0.4 SW 544 
14 2.8 0.1 SSW 544 
15 1.8 0.8 SW 533 
16 1.1 SW 527 
17 0.7 SW 532 
18 0.4 545 
19 SSW 529 
20 0.5 SW 529 
21 1.7 SW 527 
22 1.7 SW 521 
23 5.8 1.3 SW 530 
24 2.5 SSW 523 
25 0.3 SSW 525 
26 0.2 540 
27 1.8 SSW 535 
28 0.8 2.3 SSW 525 
29 4.6 0.4 SSW 531 
30 0.5 0.8 SW 529 
31 SSW 525 
 60 SW 534 

The depth of the reservoirs ranged from a few to tens of cm. An exact determination of the depth of these reservoirs is not possible due to the diverse morphology of the bottom of each object. The mean depth is about 17 cm. It seems that the best solution to this problem would be to use the wet-areas mapping process using LiDAR-based point cloud data to address some of these needs.

The area of the discussed objects varies depending on the hydrometeorological situation in the given area. No relationships were found between the location of an object and its area, even in the case of flood water reservoirs that occur in the reserve all year round.

Wetlands, including marches, are extremely important hydrographic objects in geographical space. At the same time, they are extremely sensitive to changes in objects that occur in the environment. This is evidenced by studies on areas of the USA (Tiner 2005). The coterminous USA has lost more than 50% of its wetlands since colonial times. Before European settlement, the Nanticoke watershed had an estimated 93,000 ha of wetlands covering 45% of the watershed. By 1998, the wetland area had been reduced to 62% of its original extent.

The surface area and water capacity of wetland areas in Poland has also decreased. Poland's Institute of Drainage and Green Areas estimates that the country has irretrievably lost about 150 mln m3 of water from wetland areas since the mid-1970s. In addition, the surface area of wetland areas in Poland has decreased about 50% in the same time period. This is true of both inland wetland areas as well as wetland areas found along the Baltic coastline. The same type of wetland area as Beka can only be found in one other place along Poland's coastline – close to the Bay of Pomerania. Sea-level rise and wetland conversion to farmland were the principal causes of wetland loss. From the functional standpoint, the watershed lost over 60% of its original capacity for streamflow maintenance and over 35% for four other functions (surface-water detention, nutrient transformation, sediment and particulate retention, and provision of other wildlife habitat) (Tiner 2005). Similar values can be expected for the coastal zone of the southern Baltic Sea. This is due to a location affected by a sea without tides, excess atmospheric precipitation in relation to evaporation, local sea levels themselves, as well as various specific processes, e.g., the phenomenon of intrusion of sea water or dam wind that affect a particular geographic area. It should not be forgotten that wetlands should be considered not only globally but also at regional and local scale (Kizza et al. 2013).

The results testify that the marshes are characterized by a high variability of surface water body, so there is a large variation in seasonal retention. At the same time, various natural and anthropogenic factors that may influence this variation are pointed to. According to Nuttle & Hemand (1988), evapotranspiration and infiltration during tidal inundation and precipitation are the dominant hydrological processes on a marsh. Water loss by drainage through the sediment into tidal creeks is effectively limited to within 10 m to 15 m of the creek bank; however, drainage is responsible for 40% of the water loss within 10 m of the creek during nonflooding, neap tide periods. The rate and extent of advective transport by pore water drainage is controlled by the topography of the marsh surface (Nuttle & Hemand 1988). According to Wetzel (2001), significant loss of water from wetlands are the result of transpiration from the surface of the water.

The main sources of inflow of water to wetlands is precipitation and horizontal inflow of freshwater from the land and salt water from the sea (Miguez-Macho & Fan 2012). The loss of water to wetlands, as mentioned, is the result of evapotranspiration and horizontal drainage to the sea (Rouse 2000). As a result, they reduce floods, recharge groundwater or augment low flows and, most importantly, they have great potential for retention (Bullock & Acreman 2003). It appears that the two most important factors determining the principal characteristics of wetland areas are geographic location and local hydrologic conditions (Szogi & Hunt 2001). In addition, human impact remains a key factor that may either positively or negatively affect water circulation patterns in wetland areas.

To sum up, it is essential to proper management of such facilities in a coastal zone, that they accord in the management of the marine protected area, due to different social perceptions of individual actions (Jenneke et al. 2013). Integrated coastal management has long sought to create political settings within which coastal communities can arrive at collective decisions, and support these decisions with the best quality knowledge available. Traditionally, this has been through the integration of natural and social science with the political processes of decision-making and management, across the so-called science–policy interface (Bremer & Glavovic 2013). Equally important, but less traditional, is the integration in the ‘human system’ involving a holistic institutional approach; mainstreaming water in the national economy; cross-sectoral integration in national policy development; linkages to national security and trade regimes; and involvement of all stakeholders across different management levels. One of the levels of management is to use these areas to flood rural land (McIntyre et al. 2014).

The hydrographic situations observed in the area of the Beka reserve are a momentary picture of the surface storage. The measurement of this water circulation element in an area of such features as the Beka reserve is extremely difficult. The study attempts to determine the dynamics of this element and to estimate the quantity of water which has been stored on the surface. As already mentioned, the reservoirs shown in the figures are only the ones with free water surface. A comprehensive estimation of the surface storage of the Beka reserve is extremely problematic, as the whole area remains waterlogged almost all year round. Its vegetation and peat formations store water just under the surface, hence each slight pressure on the ground makes water come to the surface. Importantly, there are periods of time when the water retention covers nearly 40% (51 ha) of the marsh area (Table 3). The main source of supply of such large quantities of water is not only the atmospheric supply, but also the seawater inflow, particularly often observed during the autumn–winter storms in the Baltic Sea, as well as other periodic flooding of water from the rivers, canals and ditches located within the reserve. At other times, the area occupied by the surface water is, on average, from ca. 2% to nearly 12%. Only in the summer periods is a decrease in the surface (below 1%) observed due to the strong evapotranspiration in the study area. Also important is the strong outflow of water as a result of human activities. Most importantly, this area has a large capacity for water retention. Locations with the greatest capacity for surface water retention are due not only to the topography, but also the hydrographic and hydrometeorological conditions.

Table 3

Area and volume of stagnant water reservoirs

DataArea (P)
Volume (V)
ha%m3
12 XII 2003 6.000 4.5 7,104 
6 XII 2011 18.000 14.0 19,020 
26 III 2012 2.460 1.9 1,715 
29 V 2012 0.450 0.3 331 
31 VII 2012 1.400 1.0 926 
18 X 2012 15.000 11.3 11,805 
24 IV 2013 6.000 4.6 6,145 
12 VI 2013 1.050 0.8 942 
1 VIII 2013 0.095 0.1 19 
24 X 2013 6.480 4.9 9,707 
12 XII 2013 50.940 38.6 n/d 
DataArea (P)
Volume (V)
ha%m3
12 XII 2003 6.000 4.5 7,104 
6 XII 2011 18.000 14.0 19,020 
26 III 2012 2.460 1.9 1,715 
29 V 2012 0.450 0.3 331 
31 VII 2012 1.400 1.0 926 
18 X 2012 15.000 11.3 11,805 
24 IV 2013 6.000 4.6 6,145 
12 VI 2013 1.050 0.8 942 
1 VIII 2013 0.095 0.1 19 
24 X 2013 6.480 4.9 9,707 
12 XII 2013 50.940 38.6 n/d 

The surface storage in the study area is an important part of the water circulation. It also determines the size of the water body in different seasons, which, in turn, affects the biological conditions of the area (the existence of specific habitats and species).

Álvarez-Rogel
,
J.
,
Jiménez-Cárceles
,
F. J.
&
Nicolás
,
C. E.
2006
Phosphorus and nitrogen content in the water of a coastal wetland in the Mar Menor lagoon (SE Spain): relationships with effluents from urban and agricultural areas
.
Water Air and Soil Pollution
173
,
21
38
. DOI 10.1007/s11270-005-9020-y.
Antonellini
,
M.
&
Mollema
,
P. N.
2010
Impact of groundwater salinity on vegetation species richness in the coastal pine forests and wetlands of Ravenna, Italy
.
Ecological Engineering
36
(
9
),
1201
1211
. doi: 10.1016/j.ecoleng.2009.12.007.
Belletti
,
B.
,
Rinaldi
,
M.
,
Buijse
,
A. D.
,
Gurnell
,
A. M.
&
Mosselman
,
E.
2015
A review of assessment methods for river hydromorphology
.
Environmental Earth Sciences
73
(
1
),
2079
2100
. doi: 10.1007/s12665-014-3558-1.
Bertrand
,
G.
,
Siergieiev
,
S.
,
Ala-Aho
,
P.
&
Rossi
,
P. M.
2014
Environmental tracers and indicators bringing together groundwater, surface water and groundwater-dependent ecosystems: importance of scale in choosing relevant tools
.
Environmental Earth Sciences
72
(
3
),
813
827
. doi: 10.1007/s12665-013-3005-8.
Błaszkowska
,
B.
,
Gerstmannowa
,
E.
&
Narwojsz
,
A.
1996
Środowisko fizyczno-geograficzne. (Physical and geographical environment)
. In:
Monograph Beka Nature Reserve. Materials for Natural Monograph of Gdańsk Region
(
Lenartowicz,
,
Z.
ed.).
Gdańsk Publishing House
,
Gdańsk
,
Poland
, pp.
88
99
.
Bolen
,
E. G.
,
Smith
,
L. M.
&
Schramm
,
H. L.
Jr
1989
Playa lakes: prairie wetlands of the southern high plains
.
Bioscience
39
,
615
623
. doi: 10.2307/1311091.
Boorman
,
L. A.
1999
Salt marshes – present functioning and future change
.
Wetlands Ecology and Management
3
(
4
),
227
241
. doi: 10.1023/A:1009998812838.
Bremer
,
S.
&
Glavovic
,
B.
2013
Mobilizing knowledge for coastal governance: re-framing the science–policy interface for integrated coastal management
.
Coastal Management
41
(
1
),
39
56
. doi: 10.1080/08920753.2012.749751.
Brooks
,
T. R.
2004
Weather-related effects on woodland vernal pool hydrology and hydroperiod
.
Wetlands
24
(
1
),
104
114
. doi: 10.1672/0277-5212(2004)024[0104:WEOWVP]2.0.CO;2.
Brooks
,
R. P.
,
Brinson
,
M. M.
,
Havens
,
K. J.
,
Hershner
,
C. S.
,
Rheinhardt
,
R. D.
,
Wardrop
,
D. H.
,
Whigham
,
D. F.
,
Jacobs
,
A. D.
&
Rubbo
,
J. M.
2011
Proposed hydrogeomorphic classification for wetlands of the Mid-Atlantic Region, USA
.
Wetlands
31
,
207
219
. doi: 10.1007/s13157-011-0158-7.
Bullock
,
A.
&
Acreman
,
M.
2003
The role of wetlands in the hydrological cycle
.
Hydrology and Earth System Sciences
7
,
358
389
. doi: 10.5194/hess-7-358-2003.
Cartaxana
,
P.
,
Cacador
,
I.
,
Vale
,
C.
,
Falco
,
M.
&
Catarino
,
F.
1999
Seasonal variation of inorganic nitrogen and net mineralization in a salt marsh ecosystem
.
Mangroves and Salt Marshes
3
(
2
),
127
134
. doi: 10.1023/A:1009941219215.
Collins
,
S. D.
,
Heintzman
,
L. J.
,
Starr
,
S. M.
,
Wright
,
C. K.
,
Henebry
,
G. M.
&
McIntyre
,
N. E.
2014
Hydrological dynamics of temporary wetlands in the southern Great Plains as a function of surrounding land use
.
Journal of Arid Environments
109
,
6
14
.
doi: http://dx.doi.org/10.1016/j.jaridenv.2014.05.006.
Cowardin
,
L. M.
,
Carter
,
V.
,
Golet
,
F. C.
&
LaRose
,
E. T.
1979
Classification of Wetlands and Deepwater Habitats of the United States
.
US Department of the Interior, Fish and Wildlife Service Office of Biological Services
,
Washington
, pp.
1
34
.
Dahl
,
T. E.
2000
Status and Trends of Wetlands in the Conterminous United States 1986 to 1997
.
United States Fish and Wildlife Service
,
Washington, DC
,
USA
.
Döll
,
P.
,
Hoffmann-Dobrev
,
H.
,
Portmann
,
F. T.
,
Siebert
,
S.
,
Eicker
,
A.
,
Rodell
,
M.
,
Strassberg
,
S.
&
Scanlon
,
B. R.
2012
Impact of water withdrawals from groundwater and surface water on continental water storage variations
.
Journal of Geodynamics
59–60
,
143
156
.
doi: http://dx.doi.org/10.1016/j.jog.2011.05.001.
Euliss
,
N. H.
Jr
,
Mushet
,
D. M.
,
Newton
,
W. E.
,
Otto
,
C. R. V.
,
Nelson
,
R. D.
,
LaBaugh
,
L. W.
,
Scherff
,
E. J.
&
Rosenberry
,
D. O.
2014
Placing prairie pothole wetlands along spatial and temporal continua to improve integration of wetland function in ecological investigations
.
Journal of Hydrology
513
,
490
503
.
doi: http://dx.doi.org/10.1016/j.jhydrol.2014.04.006.
Farrier
,
D.
&
Tucker
,
L.
2004
Wise use of wetlands under the Ramsar Convention: a challenge for meaningful implementation of international law
.
Journal of Environmental Law
12
(
1
),
21
42
. 10.1093/jel/12.1.21.
Golden
,
H. E.
,
Lane
,
C. R.
,
Amatya
,
D. M.
,
Bandilla
,
K. W.
,
Kiperwas
,
H. R.
,
Knightes
,
C. D.
&
Ssegane
,
H.
2014
Hydrologic connectivity between geographically isolated wetlands and surface water systems: a review of select modeling methods
.
Environmental Modelling & Software
53
,
190
206
.
doi: http://dx.doi.org/10.1016/j.envsoft.2013.12.004.
Guan
,
B.
,
Yu
,
J.
,
Wang
,
X.
,
Fu
,
Y.
,
Kan
,
X.
,
Lin
,
Q.
,
Han
,
G.
&
Lu
,
Z.
2011
Physiological responses of halophyte Suaeda salsa to water table and salt stresses in coastal wetland of Yellow River delta
.
CLEAN – Soil, Air, Water
39
(
12
),
1029
1035
. doi: 10.1002/clen.201000557.
Haines
,
P.
2013
Hydrological modelling of tidal re-inundation of an estuarine wetland in south-eastern Australia
.
Ecological Engineering
52
,
79
87
.
doi: http://dx.doi.org/10.1016/j.ecoleng.2012.12.094.
Hayashi
,
M.
,
van der Kamp
,
G.
&
Rosenberry
,
D. O.
2016
Hydrology of prairie wetlands: understanding the integrated surface-water and groundwater processes
.
Wetlands
1
18
. doi:10.1007/s13157-016-0797-9.
Hofstede
,
J. L. A.
2004
Integrated management of artificially created salt marshes in the Wadden Sea of Schleswig-Holstein, Germany
.
Wetlands Ecology and Management
11
(
3
),
183
194
. doi: 10.1023/A:1024248127037.
Howard
,
R. J.
,
Biagas
,
J.
&
Allain
,
L.
2016
Growth of common brackish marsh macrophytes under altered hydrologic and salinity regimes
.
Wetlands
36
(
1
),
11
20
. doi:10.1007/s13157-015-0711-x.
Hulisz
,
P.
,
Krzeslak
,
I.
&
Karasiewicz
,
M. T.
2012
Characteristics of sedimentary environments in brackish marsh soils in relation to organic matter properties (Puck Lagoon, Northern Poland)
.
Ecological Questions
16
(
1
),
87
97
. doi: 10.2478/v10090-012-0009-z.
Jarrell
,
E. R.
,
Kolker
,
A. S.
,
Campbell
,
C.
&
Blum
,
M. J.
2016
Brackish marsh plant community responses to regional precipitation and relative sea-level rise
.
Wetlands
36
(
4
),
607
619
. doi:10.1007/s13157-016-0769-0.
Jenneke
,
M.
,
Visser
,
S. M.
,
Duke-Sylvester
,
J. C.
&
Broussard
,
W. P.
III
2013
A computer model to forecast wetland vegetation changes resulting from restoration and protection in coastal Louisiana
.
Journal of Coastal Research
67
,
51
59
.
Kimberly
,
A. D.
2016
Coastal Wetland Geomorphic and Vegetative Change: Effects of Sea-level Rise and Water Management on Brackish Marshes
.
PhD Dissertation
,
Florida Gulf Coast University
,
Kirwan
,
M. L.
&
Guntenspergen
,
G. R.
2012
Feedbacks between inundation, root production, and shoot growth in a rapidly submerging brackish marsh
.
Journal of Ecology
100
(
3
),
764
770
. doi: 10.1111/j.1365-2745.2012.01957.x.
Kizza
,
M.
,
Guerrero
,
J. L.
,
Rodhe
,
A.
,
Xu
,
C.
&
Ntale
,
H. K.
2013
Modelling catchment inflows into Lake Victoria: regionalisation of the parameters of a conceptual water balance model
.
Hydrology Research
44
(
5
),
789
808
. doi: 10.2166/nh.2012.152.
Li
,
L.
,
Vrieling
,
A.
,
Skidmore
,
A.
,
Wang
,
T.
,
Muñoz
,
A. R.
&
Turak
,
E.
2015
Evaluation of MODIS spectral indices for monitoring hydrological dynamics of a small, seasonally-flooded wetland in southern Spain
.
Wetlands
35
(
5
),
851
864
.
Major
,
M.
2012
General systems theory and the operation of basins without an outlet: a methodological aspect
.
Limnological Review
12
(
2
),
71
76
. doi: 10.2478/v10194-011-0046-9.
McIntyre
,
N.
,
Ballard
,
C.
,
Bruen
,
M.
,
Bulygina
,
N.
,
Buytaert
,
W.
,
Cluckie
,
I.
,
Dunn
,
S.
,
Ehret
,
U.
,
Ewen
,
J.
,
Gelfan
,
A.
,
Hess
,
T.
,
Hughes
,
D.
,
Jackson
,
B.
,
Kjeldsen
,
T. R.
,
Merz
,
R.
,
Park
,
J. S.
,
O'Connell
,
E.
,
O'Donnell
,
G.
,
Oudin
,
L.
,
Todini
,
E.
,
Wagener
,
T.
&
Wheater
,
H.
2014
Modelling the hydrological impacts of rural land use change
.
Hydrology Research
45
(
6
),
737
754
. doi: 10.2166/nh.2013.145.
Miguez-Macho
,
G.
&
Fan
,
Y.
2012
The role of groundwater in the Amazon water cycle: 1. Influence on seasonal streamflow, flooding and wetlands
.
Journal of Geophysical Research: Atmospheres
117
(
15–16
),
1
30
. doi: 10.1029/2012JD017539.
Nuttle
,
W. K.
&
Hemand
,
H. F.
1988
Salt marsh hydrology: implications for biogeochemical fluxes to the atmosphere and estuaries
.
Global Biogeochemical Cycles
2
(
2
),
91
114
. doi: 10.1029/GB002i002p00091.
Penck
,
A.
1894
Morphologie der Erdoberfläche
,
Vol. 2
.
Stuttgart
,
Germany
.
Powers
,
S. M.
,
Johnson
,
R. A.
&
Stanley
,
E. H.
2012
Nutrient retention and the problem of hydrologic disconnection in streams and wetlands
.
Ecosystems
15
,
435
449
. doi: 10.1007/s10021-012-9520-8.
Price
,
R. M.
,
Zapata
,
X.
&
Koch
,
G. R.
2013
Groundwater-surface water interactions and their effects on ecosystem metabolism in a coastal wetland: example from the Florida Everglades
.
American Geophysical Union
3
(
1
),
abstract #H21A-08
.
Robinson
,
S. J.
,
Souter
,
N. J.
,
Bean
,
N. G.
,
Ross
,
J. V.
,
Thompson
,
R. M.
&
Bjornsson
,
K. T.
2015
Statistical description of wetland hydrological connectivity to the River Murray in South Australia under both natural and regulated conditions
.
Journal of Hydrology
531
(
3
),
929
939
.
doi: http://dx.doi.org/10.1016/j.jhydrol.2015.10.006.
Rouse
,
W. R.
2000
The energy and water balance of high-latitude wetlands: controls and extrapolation
.
Global Change Biology
6
(
1
),
59
68
. doi: 10.1046/j.1365-2486.2000.06013.x.
Sam
,
R.
&
Ridd
,
P.
1998
Spatial variations of groundwater salinity in a mangrove-salt flat system, Cocoa Creek, Australia
.
Mangroves and Salt Marshes
2
(
3
),
121
132
. doi: 10.1023/A:1009919411508.
Selle
,
B.
,
Gräff
,
T.
,
Salzmann
,
T.
,
Oswald
,
S.
,
Walther
,
M.
&
Miegel
,
K.
2016
Understanding salt dynamics for a restored coastal wetland at the Baltic Sea in Germany
. In:
EGU General Assembly
,
17–22 April 2016
,
Vienna, Austria
, p.
15728
.
Szogi
,
A. A.
&
Hunt
,
P. G.
2001
Distribution of ammonium-N in the water soil interface of a surface-flow constructed wetland for swine wastewater treatment
.
Water Science and Technology
44
(
11–12
),
157
162
.
Touchette
,
B. W.
2006
Salt tolerance in a Juncus roemerianus brackish marsh: spatial variations in plant water relations
.
Journal of Experimental Marine Biology and Ecology
337
(
1
),
1
12
.
doi: 10.1016/j.jembe.2006.05.011
.
Ward
,
R. D.
,
Teasdale
,
P. A.
,
Burnside
,
N. G.
,
Joyce
,
C. B.
&
Kalev
,
S.
2014
Recent rates of sedimentation on irregularly flooded boreal Baltic coastal wetlands: responses to recent changes in sea level
.
Geomorphology
217
,
61
72
.
doi: http://dx.doi.org/10.1016/j.geomorph.2014.03.045
.
Wetzel
,
R. G.
2001
Fundamental processes within natural and constructed wetland ecosystems: short-term versus long-term objectives
.
Water Science and Technology
44
(
11–12
),
1
8
.
Winston
,
R. J.
,
Hunt
,
W. F.
,
Kennedy
,
S. G.
,
Merriman
,
L. S.
,
Chandler
,
J.
&
Brown
,
D.
2013
Evaluation of floating treatment wetlands as retrofits to existing storm water retention ponds
.
Ecological Engineering
54
,
254
265
.
doi: 10.1016/j.ecoleng.2013.01.023
.
Zou
,
X.
,
Zhang
,
C.
,
Cheng
,
H.
,
Kang
,
L.
&
Wu
,
Y.
2015
Cogitation on developing a dynamic model of soil wind erosion
.
Science China Earth Sciences
58
(
3
),
462
473
.
doi:10.1007/s11430-014-5002-5
.