sustainability Article Ground Water Modelling for the Restoration of Carex Communities on a Sandy River Terrace Andrzej Brandyk 1, *, Grzegorz Majewski 2 , Adam Kiczko 2 , Andrzej Boczoń 3 , Michał Wróbel 3 and Paola Porretta-Tomaszewska 4 1 2 3 4 * Laboratory-Water Center, Warsaw University of Life Sciences, Ciszewskiego Str. 6, 02-776 Warsaw, Poland Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences, Nowoursynowska Str. 159, 02-776 Warsaw, Poland; [email protected] (G.M.); [email protected] (A.K.) Forest Research Institute, Braci Leśnej Str. 3, S˛ekocin Stary, 05-090 Raszyn, Poland; [email protected] (A.B.); [email protected] (M.W.) Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, Nowowiejska Str. 20, 00-653 Warsaw, Poland; [email protected] Correspondence: [email protected] Academic Editor: Vincenzo Torretta Received: 31 August 2016; Accepted: 7 December 2016; Published: 15 December 2016 Abstract: Management for sustainable river valleys requires balancing their natural values against the need for agricultural and recreational development on surrounding lands. The Southern Całowanie Peatland near the city of Warsaw sits on a sandy terrace and has well preserved Carex and Molinia stands existing in part of the area, especially where water tables are less than 1.5 m below the surface. The existing drainage network in this southern part has been poorly maintained and could be reestablished to help raise water levels for restoration of the peatland. Modflow was used to look at influence of drainage channel water levels on the overall water table height in the area. By raising water levels in the drainage system by 0.5 m it was found that 29% of the area would become suitable for increasing Carex and Molinia communities. Keywords: wetlands restoration; wetlands hydrology; modelling; ecosystem protection; flooding terrace 1. Introduction Wetland habitats and their unique vegetation have been subject to many threats all over the world, mainly related with different drainage practices [1]. In western Europe, in particular on large wetland areas, drainage-irrigation systems were installed to transform them into productive grasslands or meadows, as well as for other specific goals like flood protection [2–4]. For many decades without proper water management on those areas, hydrologic conditions have been substantially changed, leading to gradual loss of valuable ecosystems [1]. It used to be a frequent case, that the parameters of water management systems (i.e., discharge or drainage rates, water damming heights) were not properly adjusted and did not maintain water tables necessary for native wetland vegetation [3]. Fortunately, some wetland areas, like the Southern Całowanie Peatland near Warsaw, Poland have been reported to maintain valuable flora species, most likely as a result of drainage rates decrease since the hydrologic system has been allowed to revert to more natural state [5,6]. On sandy soils prevailing there, we found Caricetum gracilis stands (Carex shrubs) which promotes that area to a high rank from the viewpoint of nature conservation [5,7,8]. Since those stands have still been well preserved, there arose contemporary management dilemmas—whether (and how) to reintroduce the control of water levels, striving at the restoration of plant communities, or to leave the system as Sustainability 2016, 8, 1324; doi:10.3390/su8121324 www.mdpi.com/journal/sustainability Sustainability 2016, 8, 1324 Sustainability 2016, 8, 1324 2 of 10 2 of 10 will be affected by decisions made by liable authorities, which require evidence for the feasibility of restoration process [9]. The decision-making ought to be based on hydrological criteria that can be directly uncontrolled. Undoubtedly, the future of many wetland territories—especially in Poland—will incorporated into modelling studies and enables one to compare different management scenarios. be affected by decisions made by liable authorities, which require evidence for the feasibility of One of the biggest uncertainties in the restoration of wetland hydrology is the form of the criteria, restoration process [9]. The decision-making ought to be based on hydrological criteria that can be and the environmental variables that can be easily attributed to target habitat quality—i.e., water incorporated into modelling studies and enables one to compare different management scenarios. levels or flooding frequency [6,10]. Since the relevance of criteria is still subject to discussion, we One of the biggest uncertainties in the restoration of wetland hydrology is the form of the criteria, considered the adoption of threshold values of ground water levels for sandy soils on the basis of and the environmental variables that can be easily attributed to target habitat quality—i.e., water levels Polish experience, summarized by Szuniewicz [11] as: minimum allowable depth (upper limit): 0.35 or flooding frequency [6,10]. Since the relevance of criteria is still subject to discussion, we considered m, mean depth: 0.40 m, and maximum allowable depth: 0.45 m. Those values are extensively used the adoption of threshold values of ground water levels for sandy soils on the basis of Polish experience, over the area of Poland, being justified by research on a wide range of soils. In this way, we attempted summarized by Szuniewicz [11] as: minimum allowable depth (upper limit): 0.35 m, mean depth: to ensure the reliability of the analyses herein, basing them on values firmly related to soil physical 0.40 m, and maximum allowable depth: 0.45 m. Those values are extensively used over the area of properties [7,12]. Poland, being justified by research on a wide range of soils. In this way, we attempted to ensure the Taking the results of two surveys that discovered vulnerable, river valley habitats on shallow reliability of the analyses herein, basing them on values firmly related to soil physical properties [7,12]. water table soils into account, we aimed to apply ground water modeling and to determine proper Taking the results of two surveys that discovered vulnerable, river valley habitats on shallow water criteria to prove the potential for hydrologic restoration of the Southern Całowanie Peatland. It was table soils into account, we aimed to apply ground water modeling and to determine proper criteria to assumed that by increasing water levels in the existing network of channels, ground water table prove the potential for hydrologic restoration of the Southern Całowanie Peatland. It was assumed position would meet threshold values for the maintenance of Carex stands within a sandy-valley that by increasing water levels in the existing network of channels, ground water table position would terrace. meet threshold values for the maintenance of Carex stands within a sandy-valley terrace. 2. 2. Material Material and and Methods Methods 2.1. Research Area The selected selectedresearch researcharea areaofof588.8 588.8 is the Southern Całowanie Peatland, which has already haha is the Southern Całowanie Peatland, which has already been been under protection as a habitat for endangered wetland species of flora and fauna for about 10 under protection as a habitat for endangered wetland species of flora and fauna for about 10 years. years. It is located 35 kmofsouth of the city capital city of Warsaw, and constitutes a large It is located 35 km south the capital of Warsaw, and constitutes only partonly of apart largeofwetland wetland complex that covers a wide extent of the Valley of the Vistula River. The whole Całowanie complex that covers a wide extent of the Valley of the Vistula River. The whole Całowanie Peatland Peatland area offorms 3500 ha) forms vast and interrelated system 1), containing valuable (total area(total of 3500 ha) a vast andainterrelated system (Figure 1), (Figure containing valuable landscape landscape such astransitional raised andbogs transitional bogs andmeadows—the single-swath meadows—the componentscomponents such as raised and and single-swath biodiversity of biodiversity of which strongly depends on human maintenance which have claimed be which strongly depends on human maintenance and which haveand been claimed tobeen be one of the to most one of the most vulnerable habitat mosaics vulnerable habitat mosaics in Europe [5,7]. in Europe [5,7]. Figure 1. Location of Całowanie Peatland Protected Area, Poland. The Southern part was considered to be the research area. Sustainability 2016, 8, 1324 3 of 10 The central and northern part of the Całowanie Peatland have already been subject to a wide Sustainability 2016, 8, 1324 3 of 10 range of research; however, the southern portion lacked sufficient attention until 2011, when urgent management issuesand arose [5,7]. Itpart is surrounded by agricultural lands, but been the development of new The central northern of the Całowanie Peatland have already subject to a wide recreational areas will most likely affect existing conditions. it is when crucial to stress range of research; however, the southern portionhydrologic lacked sufficient attentionHence, until 2011, urgent management issues arose [5,7]. It is consideration surrounded byto agricultural lands, butstatus, the development of new protection goals and give a thorough its possible future function, and use. recreational areas will most likely affect existing hydrologic conditions. Hence, it is crucial to stress 2.2. protection Geological goals Setting and give a thorough consideration to its possible future status, function, and use. Southern Całowanie Peatland is situated in the glacial valley of the Vistula River (the largest of the Polish rivers), within the boundaries of its flooding terrace, and partly at the edge of the lower Southern Całowanie Peatland isice-shaped situated in the glacial valley ofby the Vistula6River of the non-flooding terrace. It is a quaternary plateau bounded uplands km to(the thelargest east and the Polish rivers), within the boundaries of its flooding terrace, and partly at the edge of the lower Vistula River 3.5 km to the west [5]. Local altitude differences are negligible, except for the ice-formed non-flooding terrace. It is a quaternary ice-shaped plateau bounded by uplands 6 km to the east and upland moraines, having considerable slopes. Mean altitude at the study site equals about 95 m the Vistula River 3.5 km to the west [5]. Local altitude differences are negligible, except for the iceabove the mean Baltic sea level, with exceptionally few deviations exceeding 0.5 m. Geological survey formed upland moraines, having considerable slopes. Mean altitude at the study site equals about showed sandy deposits in with the valley, of a mean thicknessexceeding equal to 0.5 10 m. m, Geological underlain by 95 m prevailing above the mean Baltic sea level, exceptionally few deviations siltysurvey loamsshowed (Figureprevailing 2). Regional, aquifer of thickness the sand equal and silty stand for sandyunconfined deposits in the valley,isofbuilt a mean to 10 loams m, underlain its impermeable base. Recharge to the aquifer is in the form of lateral inflow from the uplands by silty loams (Figure 2). Regional, unconfined aquifer is built of the sand and silty loams stand forand rainfall infiltration, base. enhanced by atolack low permeability (aquitards) thatthe would alsoand hinder its impermeable Recharge the of aquifer is in the form units of lateral inflow from uplands potential contaminant transport.by Ground discharges to the (aquitards) Vistula River regional drainage rainfall infiltration, enhanced a lack ofwater low permeability units that(the would also hinder potential transport. GroundPhreatic water discharges to theare Vistula River (the regional drainage base), and in contaminant some local-valley wetlands. water tables found at depths ranging from 1 to base), and in some local-valley wetlands. Phreatic water tables are found at depths ranging from 1 to[5,7]. 5 m, and their position close to the surface of the land would contribute to wetlands formation 5 m, and their position close to the surface of the land would contribute to wetlands formation [5,7]. Estimates of aquifer horizontal and vertical conductivity showed its homogenous character and Estimates offrom aquifer horizontal and[5]. vertical conductivity showed its homogenous values ranging 16 to 30 m/day Materials observed in 20 soil borings of a character depth upand to 7 m, values ranging from 16 to 30 m/day [5]. Materials observed in 20 soil borings of a depth up to 7 m, taken across the site, proved the presence of sandy deposits. Laboratory tests proved that they were taken across the site, proved the presence of sandy deposits. Laboratory tests proved that they were very homogenous and contained from 88% to 94% sand fraction, from 0% to 3% loam, and 1% to 6% of very homogenous and contained from 88% to 94% sand fraction, from 0% to 3% loam, and 1% to 6% silt, of and the hydraulic conductivity derived from granular data reaching from 24 to 30 m/day [10,13]. silt, and the hydraulic conductivity derived from granular data reaching from 24 to 30 m/day Ground water levelswater were observed at observed six double-piezometer locations, with one tube screened to the [10,13]. Ground levels were at six double-piezometer locations, with one tube depth of 2 m and the deeper one at 7.5 m below ground, finding no head difference between them. screened to the depth of 2 m and the deeper one at 7.5 m below ground, finding no head difference A distinctive feature was also afeature relatively matter of the soil at depths from between them. A distinctive was large also aorganic relatively large content organic matter content of the soil at 0 to 0.3 m, amounting to0.3 15%, with the minimum value 3%. depths from 0 to m, amounting to 15%, with theof minimum value of 3%. 2.2. Geological Setting Figure 2. Geological cross-sectionof ofthe the Vistula Vistula Valley where 1 stands for sand, Figure 2. Geological cross-section Valley and andthe thestudy studysite, site, where 1 stands for sand, 2—peat and riverine silt, 3—silty loam. 2—peat and riverine silt, 3—silty loam. Sustainability 2016, 8, 1324 Sustainability 2016, 8, 1324 4 of 10 4 of 10 Plant communities were monitored over the study site in years 2003–2004 [5], and also in 2011. Among those dominatingwere over the area, Caricetum gracilis were found[5], with a considerable Plant communities monitored over the study(Carex) site inshrubs years 2003–2004 and also in 2011. share ofthose Glyceria maxima, over Rorippa and Iris pseudacorus. Particular conditions for the Among dominating the amphibia, area, Caricetum gracilis (Carex) shrubs werehabitat found with a considerable above-mentioned species Rorippa involve amphibia, river valleys shallow lakeParticular basins with the conditions dominance for of share of Glyceria maxima, and and Iris pseudacorus. habitat mineral-organic deposits, and ground near land surfacelake [14].basins Nearlywith permanent flooding the above-mentioned species involvewater riverlevels valleys and shallow the dominance is permanent feature; thus, they are often named carrs. On the other hand,permanent numerous oftheir mineral-organic deposits, and ground water levelsriverside near land surface [14]. Nearly Molinia appearedfeature; within thus, the study site, attributable to peat-mineral soils, floodingmeadows is their permanent they are often named riverside carrs. Onor themarsh other hand, characterized by variable water contentwithin and ground water depth of 0 to 1.5 m, which makes them numerous Molinia meadows appeared the study site, attributable to peat-mineral or marsh permanently or periodically wetwater or moist [8,14,15]. soils, characterized by variable content and ground water depth of 0 to 1.5 m, which makes them permanently or periodically wet or moist [8,14,15]. 2.3. Channel Network 2.3. Channel Network The study site is part of a large drainage-irrigation system constructed in the valley of the Vistula studyto site is part proper of a large system constructed in the valley of the Vistula RiverThe in order develop soildrainage-irrigation water content of existing peatlands and arable lands (Figure 3) River in orderimportant to developgoal proper content of existing peatlands andinarable 3) [7]. [7]. Another wassoil to water provide for flood hazard mitigation that lands valley.(Figure Like many Anothersystems important goal wasEurope, to provide floodwas hazard that valley. Like many similar similar in Western thatfor system not mitigation sufficientlyinmanaged throughout decades, systems Western Europe, that system was not[3,7]. sufficiently managed throughout decades, thus and thusin failed to realize its designed functions However, the presence of wetland plantand species failed to realize its designed functions [3,7]. However, the presence of wetland plant species suggests suggests that the current function of the system should be to increase ground water levels in areas that the current function of the system should be to increase ground water levels in areas targeted targeted for restoration. for restoration. Figure 3. Hydrographic network of the Southern Całowanie Peatland. Figure 3. Hydrographic network of the Southern Całowanie Peatland. The study site is bounded from the north, south, and west by main drainage irrigation channels, which served theispast to supply to secondary ditches thedrainage area [7]. irrigation Those ditches have The studyinsite bounded fromwater the north, south, and westwithin by main channels, had limited maintenance, and were finally overgrown with vegetation. The present physical condition which served in the past to supply water to secondary ditches within the area [7]. Those ditches have of the system enables the and surface water levels to be adjusted only in the main surrounding had limited maintenance, were finally overgrown with vegetation. The present physical channels. condition of the system enables the surface water levels to be adjusted only in the main surrounding channels. 2.4. Ground Water Model In order to conduct 2.4. Ground Water Model analysis of ground water table changes versus the assumed canal water levels, we utilized the common and recognized Modflow code, which can simulate ground water flow In order to conduct analysis of ground water table changes versus the assumed canal water response to changing boundary conditions. The governing partial-differential equation of this model levels, we utilized the common and recognized Modflow code, which can simulate ground water can be written in the following form [16]: flow response to changing boundary conditions. The governing partial-differential equation of this model can be written indthe following form [16]: dH d dH d dH dH Tx + Ty + Ty −W = S (1) dx dx dy dy dz dz dt d dH d dH d dH dH T T T W S (1) dx x dx dy y dy dz y dz dt where Tx , Ty , Tz —aquifer transmissivities in three directions: x, y, z (m2 /s); H—hydraulic head (m); where Tx, Tor y, T z—aquifer x, y, (e.g., z (m2rainfall, /s); H—hydraulic head (m); W—inflow outflow fromtransmissivities internal sourcesinorthree sinksdirections: of water (m/s) evaporation, channel W—inflow or outflowyield from(dimensionless); internal sources or sinks of water (m/s)etc.). (e.g., rainfall, evaporation, channel seepage); S—specific t—time (days, years, seepage); S—specific yield (dimensionless); t—time (days, years, etc.). Sustainability 2016, 8, 1324 Sustainability 2016, 8, 1324 5 of 10 5 of 10 Ground water flow in a sandy aquifer was modelled in this study, which was deduced from available recognition of hydrogeological conditions. Since in grain water from level Ground water flow in a sandy aquifer was modelled thiscomposition study, whichtests wasand deduced measurements at different depths provedconditions. no heterogeneity in thecomposition aquifer system, waswater possible to available recognition of hydrogeological Since grain testsit and level use one numerical layer of Modflow code to perform the simulations. Because only part of the aquifer measurements at different depths proved no heterogeneity in the aquifer system, it was possible to use was numerical modelled, layer first type boundarycode condition was applied to the channels existing fromof the northern, one of Modflow to perform the simulations. Because only part the aquifer western, and southern while from the east, the aquifer recharge fluxfrom wasthe imposed as was modelled, first type directions, boundary condition was applied to the channels existing northern, second type boundary condition. The impermeable layer of silty loams underlying the aquifer was western, and southern directions, while from the east, the aquifer recharge flux was imposed as second treated as a no-flow boundary. type boundary condition. The impermeable layer of silty loams underlying the aquifer was treated as a no-flow boundary. 2.5. Model Calibration 2.5. Model Calibration A calibration process was performed using a trial and error procedure in order to estimate such values aquifer conductivity eastern inflow which reasonablein match modeled A of calibration process wasand performed using arate trialfor and errora procedure orderbetween to estimate such and observed ground water levels was achieved. Ground water levels used for calibration were values of aquifer conductivity and eastern inflow rate for which a reasonable match between modeled measured in the network of piezometers in 2012, and surfacewater waterlevels levelsused in channels were gauged and observed ground water levels was achieved. Ground for calibration were in that yearinasthe well. Moreover, they were expressed in surface meters above mean Baltic seawere levelgauged datum. measured network of piezometers in 2012, and water the levels in channels Based surveys, reasonable assumed in values of above hydraulic conductivity oflevel the aquifer in that on yeargeological as well. Moreover, they were expressed meters the mean Baltic sea datum. variedon from 16 to 30 m/day,reasonable while theassumed ground water rate applied on the boundary Based geological surveys, values inflow of hydraulic conductivity of eastern the aquifer varied 3/day/m [5]. Both parameters were changed individually, followed by a visual ranged from 0.5 to 2.1 m from 16 to 30 m/day, while the ground water inflow rate applied on the eastern boundary ranged from comparison of observed andparameters modeled were piezometer heads (Figure followed 4), correlation coefficient, and 0.5 to 2.1 m3 /day/m [5]. Both changed individually, by a visual comparison standard deviation. The conductivity and inflow values were finally considered acceptable when of observed and modeled piezometer heads (Figure 4), correlation coefficient, and as standard deviation. standard deviation reached m and correlation coefficientas was equal to when 0.82. As a consequence of The conductivity and inflow0.3 values were finally considered acceptable standard deviation the calibration procedure, aquifer conductivity was set as 25 As m/day and easternofflux to 1.7 reached 0.3 m and correlation coefficient was equal to 0.82. a consequence theequal calibration m3/day/m. aquifer conductivity was set as 25 m/day and eastern flux equal to 1.7 m3 /day/m. procedure, Figure 4. 4. Scatter modeled and and observed observed ground ground water water heads heads with with linear linear correlation correlation Figure Scatter diagram diagram for for modeled coeffieicent equal to 0.82. The heads are related to local model datum, where “0” stands 90 m coeffieicent equal to 0.82. The heads are related to local model datum, where “0” stands for 90 for m above aboveBaltic meansea Baltic sea level. mean level. The upper boundary condition (recharge flux through the surface into ground water system) The upper boundary condition (recharge flux through the surface into ground water system) could could be treated in the Modflow software (Processing Modflow-version 5.3.1. Copyright © 1991–2001 be treated in the Modflow software (Processing Modflow-version 5.3.1. Copyright © 1991–2001 W.H. W.H. Chiang and W. Kinzelbach) as P-E—that is, precipitation rate minus evapotranspiration. Chiang and W. Kinzelbach) as P-E—that is, precipitation rate minus evapotranspiration. Precipitation Precipitation totals were achieved by linear interpolation over a wider area on the basis of the records totals were achieved by linear interpolation over a wider area on the basis of the records from from three stations: Warszawa (37 km), Siedlce (about 40 km), and Kozienice (about 37 km). However, three stations: Warszawa (37 km), Siedlce (about 40 km), and Kozienice (about 37 km). However, only meteorological data from Kozienice were used to calculate potential evapotranspiration Sustainability Sustainability 2016, 2016, 8, 8, 1324 1324 66 of of 10 10 according to Penman–Monteith method [10], since that station largely reflects the conditions outside only meteorological data from Kozienice were used to calculate potential evapotranspiration according the city area. It should be stressed that those values are not fully representative for the Całowanie to Penman–Monteith method [10], since that station largely reflects the conditions outside the city Peatland, and should also undergo calibration. Nevertheless, it was omitted in the present study so area. It should be stressed that those values are not fully representative for the Całowanie Peatland, as to keep the calibration procedure as simple as possible. On the basis of the ground water measurement and should also undergo calibration. Nevertheless, it was omitted in the present study so as to keep the availability, it was decided to run the model with a decade time step; hence, the input fluxes of calibration procedure as simple as possible. On the basis of the ground water measurement availability, precipitation and evapotranspiration were calculated as decade totals. it was decided to run the model with a decade time step; hence, the input fluxes of precipitation and In this study, it was decided that only the most uncertain parameters will undergo calibration evapotranspiration were calculated as decade totals. (hydraulic conductivity of the aquifer and inflow from east). The input from precipitation and In this study, it was decided that only the most uncertain parameters will undergo calibration evaporation could also have been subject to adjustments, as they come from interpolation for a wider (hydraulic conductivity of the aquifer and inflow from east). The input from precipitation and area, being influenced by spatial variability of hydrometeorological processes. Additionally, for evaporation could also have been subject to adjustments, as they come from interpolation for a wider further simulations, the calibrated inflow from the east remained constant, which most likely area, being influenced by spatial variability of hydrometeorological processes. Additionally, for further influenced model output. However, it was justified by the fact that no water level observations simulations, the calibrated inflow from the east remained constant, which most likely influenced existed from that direction, which would provide more accurate data for applying boundary model output. However, it was justified by the fact that no water level observations existed from that conditions. direction, which would provide more accurate data for applying boundary conditions. 2.6. Model and Exploitation Exploitation 2.6. Model Validation Validation and Next, the the model model was was validated validated on Next, on the the basis basis of of ground ground water water levels levels measured measured throughout throughout 2013. 2013. In the quality of of thethe model by visual comparisons (Figure 5) and In the simplest simplestmanner, manner,we weestimated estimatedthe the quality model by visual comparisons (Figure 5) also also by calculating correlation coefficients between modeled and all and by calculating correlation coefficients between modeled andobserved observedwater watertables tables for for all piezometers. The but rather rather piezometers. The achieved achieved values values (0.6–0.79) (0.6–0.79) do do not not indicate indicate good good or or very very good good quality, quality, but suggest aa satisfactory satisfactory (or (or acceptable) acceptable) one. one. suggest Figure 5. Comparison of the observed and modeled water tables for 2013. Each color pertains to an individual piezometer. piezometer. After the thevalidation, validation,the the model used to calculate ground heads for the assumed After model waswas used to calculate ground water water heads for the assumed channel channel water levels, so as to estimate potential impact on Carex-dominated sandy wetland and find water levels, so as to estimate potential impact on Carex-dominated sandy wetland and find relevance relevance to restoration goals. We found it to be a practice in restoration projects to make use of to restoration goals. We found it to be a practice in restoration projects to make use of modelled ground modelled ground water head distributions for scenario comparisons and estimation of different water head distributions for scenario comparisons and estimation of different management practices. management Here, theactual first scenario assumed water levels thesecond main channels, and Here, the first practices. scenario assumed water levels in theactual main channels, andinthe one involved the second one involved raising the levels by 0.5 m to find out if such hydrological remediation helps raising the levels by 0.5 m to find out if such hydrological remediation helps to keep predefined ground to keep predefined ground water restoration. tables on a site undergoing restoration. water tables on a site undergoing Sustainability 2016, 8, 1324 7 of 10 Sustainability 2016, 2016, 8, 8, 1324 1324 Sustainability of 10 10 77 of 3.3.Results Resultsand andDiscussion Discussion 3. Results and Discussion On of ground groundwater waterlevels levelsfor forthe thecurrent current Onthe thebasis basisofof ofdata datacollected collected for for 2014, 2014, the the simulation simulation of of ground water levels for the current On the basis data collected for 2014, the simulation status of the system was performed with the use of the validated Modflow model. As it was already status of of the the system system was was performed performed with with the the use of the validated validated Modflow Modflow model. model. As As it it was was already already status mentioned, the input values for that year involved precipitation and evapotranspiration fluxes, ground mentioned, the input values for that year involved precipitation and evapotranspiration fluxes, mentioned, the input values for that year involved precipitation and evapotranspiration fluxes, water inflow from the eastern direction, and measured water levels in the main ditches, which were ground water inflow from the eastern direction, and measured water levels in the main ditches, ground water inflow from the eastern direction, and measured water levels in the main ditches, maintained by the existing hydraulic structures. The physical condition of those structures (as it was which were maintained by the existing hydraulic structures. The physical condition of those which were maintained by the existing hydraulic structures. The physical condition of those structures (as it itiswas was stressed before) isanalysed vital issue issue for therespect analysed area, with respect to to and water stressed before) a vital issuebefore) for theis area,for with to area, waterwith management the structures (as stressed aa vital the analysed respect water management and the maintenance of environmental status. On the basis of the existing assessment maintenance of environmental status. On the basis of the existing assessment of the structures [5,7], management and the maintenance of environmental status. On the basis of the existing assessment of thefound structures [5,7], it was was found found that an allowable allowable riseisin inequal channel water table is is equal to 0.5 0.5 m, m,in it of was that an allowable rise inthat channel water table to 0.5 m, which was considered the structures [5,7], it an rise channel water table equal to which was considered in the second scenario. the second which wasscenario. considered in the second scenario. Groundwater waterlevels, levels,modeled modeled with with decade decade time time step, were averaged for 2014 (Figure 6)6)and and Ground time step, step, were were averaged averagedfor for2014 2014(Figure (Figure6) and Ground water levels, modeled with subtracted from terrain elevation (Figure 7). In this manner, mean ground water depths were determined. subtracted terrainelevation elevation (Figure In this manner, mean ground water depths were subtracted from from terrain (Figure 7). In7). this manner, mean ground water depths were determined. In the the first first scenario, scenario, which reflectedwhich the current current statusthe of the the system, mean ground water depth depth varied varied In which reflected the status of system, mean water determined. In the first scenario, reflected current status ofground the system, mean ground from 0.3 to 0.9 m in the middle of the area, and near the canals it ranged from 0.9 to 2.4 m. We found from depth 0.3 to 0.9 m infrom the middle near the canals it ranged from to 2.4itm.ranged We found water varied 0.3 to of 0.9the m area, in theand middle of the area, and near the0.9 canals from that the calculated depth followed patterns typical for areas surrounded by drainage-irrigation that the calculated depth followed patterns typical for areas surrounded by drainage-irrigation 0.9 to 2.4 m. We found that the calculated depth followed patterns typical for areas surrounded by channels. Maximum Maximum depth values values were noted noted close to channels, channels, whileclose in the theto middle of the thewhile area, in near channels. depth were close to while in middle of area, near drainage-irrigation channels. Maximum depth values were noted channels, the piezometers P4, P5, and P6, they approached land surface elevation. piezometers P5, andpiezometers P6, they approached land elevation. land surface elevation. middle of the P4, area, near P4, P5, and P6,surface they approached Figure6.6. 6.Mean Meanground groundwater waterheads heads for for 2014 2014 related related to to local model datum, where “0” stands for 9090m mm Figure Mean ground water heads for related Figure to local local model modeldatum, datum,where where“0” “0”stands standsfor for90 above mean Baltic sea level. abovemean meanBaltic Balticsea sealevel. level. above Figure water depths depthsfor for2014. 2014. Figure7. 7. Mean Mean ground depths for 2014. Figure 7. Mean ground water Sustainability 2016, 8, 1324 Sustainability 2016, 8, 1324 8 of 10 8 of 10 InIn the second scenario, which involved a 0.5 mm rise inin channel water levels, the possible increase the second scenario, which involved a 0.5 rise channel water levels, the possible increase ininoverall ground water table approached 0.3 m, except for the vicinity of ditches, where it overall ground water table approached 0.3 m, except for the vicinity of ditches, where itranged ranged from 0.4 to 0.6 m (Figure 8). It was initially guessed that it would not be feasible to sufficiently increase from 0.4 to 0.6 m (Figure 8). It was initially guessed that it would not be feasible to sufficiently increase water a close-to-ditch zone; however, subject toto change watertables tablesinin a close-to-ditch zone; however,the thewhole wholeanalysed analysedarea areawas wasindeed indeed subject change inin ground groundwater watertable tableasasa aresult resultofofaltered alteredditch ditchlevels. levels. Figure Mean ground water depths scenario 2—water levels ditches raised Figure 8. 8. Mean ground water depths inin scenario 2—water levels inin ditches raised byby 0.50.5 m.m. Next, ground water waterdepths depths were utilized to determine the potential of Next,the thecalculated calculated ground were utilized to determine the potential area ofarea restored restored wetland. this purpose, previously adopted threshold were imposed on modelled wetland. For thisFor purpose, previously adopted threshold valuesvalues were imposed on modelled depths depths for scenarios. both scenarios. the mean was found be between the assumed upper and for both If theIfmean waterwater table table was found to be to between the assumed upper and lower lower to 0.45 m), claimed we claimed restoration target to reached. be reached. current status limitlimit (0.35(0.35 to 0.45 m), we the the restoration target to be In In thethe current status of of the the system, only about 16% of the area (92.6 ha) was found to maintain the predefined ground water system, only about 16% of the area (92.6 found to maintain the predefined ground water table range. In the second scenario (channel waterwater tablestables raisedraised by 0.5),bythat area extends to 29% (171.6 table range. In the second scenario (channel 0.5), that area extends to 29% ha). On ha). these we canweexpect moremore favorable initial conditions for for thethe maintenance ofof (171.6 Onsurfaces, these surfaces, can expect favorable initial conditions maintenance vulnerable Carex or Molinia habitats underlain by sandy soils within a flooding terrace. The remaining vulnerable Carex or Molinia habitats underlain by sandy soils within a flooding terrace. The remaining part rise ininthe part(71% (71%ofofthe thearea) area)would wouldbebestill stillsubject subjecttotolower lowerwater watertable tableand andinsufficient insufficientcapillary capillary rise the soil, not reaching the root zone. We findings should bebe soil, not reaching the root zone. Wewish wishtotoemphasize emphasizethat thatthe theabove-mentioned above-mentioned findings should treated aredirectly directlydependent dependentonon adopted criteria. Having assumed treatedasasrelative, relative, because because they are thethe adopted criteria. Having assumed other other allowable of hydrologic characteristics, weachieve might aachieve different view on the allowable limitslimits of hydrologic characteristics, we might differenta view on the conservation conservation wetlands the water obtained waterThe levels. The appropriateness of hydrological of wetlandsofversus the versus obtained levels. appropriateness of hydrological criteriacriteria for the forassessment the assessment of wetland restoration has been already been discussed in literature scientific [6,12] literature [6,12] of wetland restoration has already discussed in scientific considering considering mean water levels and its extremesvalues), (threshold values), as well as other hydrological mean water levels and its extremes (threshold as well as other hydrological characteristics characteristics (e.g., flooding frequency is mainly based on expert knowledge, resulting mostly fromof (e.g., flooding frequency is mainly based on expert knowledge, resulting mostly from observations observations of reference ecosystems) [8]. Withinwe those we dynamics find suchthat water level reference ecosystems) [8]. Within those ecosystems, find ecosystems, such water level the existing dynamics that the existing habitat conditions propertiesfirst andofplant communities all)can arebe habitat conditions (soil properties and plant(soil communities all) are preserved first well of and preserved well and can be treated as patterns for nature conservation. At present, empirical attempts treated as patterns for nature conservation. At present, empirical attempts were made to relate ground were made towith relate ground water levelsorwith habitat quality or type or for to find optimum water levels certain habitat quality typecertain or to find optimum hydrographs particular plant hydrographs for particular plant groups within an ecosystem [8]. This still seems to be subject to groups within an ecosystem [8]. This still seems to be subject to discussion, because for hydrologic discussion, because for hydrologic aspects, the water levels soil water content however, are the aspects, the water levels and resultant soil water content areand the resultant most important parameters; most important ecological issues also need to be addressed; i.e., thecycling, seed other ecologicalparameters; issues also however, need to beother addressed; i.e., the seed bank, light availability, nutrient bank, light availability, nutrient cycling, etc. This may lead to more interdisciplinary eco-hydrological etc. This may lead to more interdisciplinary eco-hydrological approaches. As of yet, the formulation of approaches. As of yet, thetoformulation of particular tends which to be questionable, and one has to particular criteria tends be questionable, and one criteria has to decide environmental qualities could decide which to environmental qualities couldThe be assigned particular moisture ranges. The soil be assigned particular moisture ranges. soil watertomanagement approach we decided to water present management approach welevels decided to present helpswhich to maintain levelscontent for sandy soilroot types, helps to maintain water for sandy soil types, secure water 8% oxygen in the zone which secure 8% oxygen content in the root zone as an effect of capillary rise in the soil. It is then Sustainability 2016, 8, 1324 9 of 10 as an effect of capillary rise in the soil. It is then transparent from the soil point of view, and directly related to its basic physical properties, but again may not be sufficient for other ecohydrological issues. 4. Conclusions Results of hydrogeological surveys along with the recognition of dominating plant species within the Southern Całowanie Peatland revealed the need for a wise use of the existing drainage network. Carex and Molinia stands were still preserved on a sandy flooding terrace, especially where ground water tables would not fall 1.5 m below the land surface. This corresponds with the results of ground water modeling for the current status of the hydrological system. Another feature that is consistent with the depicted geological setting is a high organic matter content of the topsoil. All of the above findings undoubtedly suggest that there are perquisites for swamp-forming processes, and the realistic restoration potential is supported by the modelled ground water table response to increased channel water levels. Having analysed the modelling results as well as the application of hydrologic criteria, we were able to form the following conclusions: (1) (2) (3) (4) Channel water level clearly exerts an influence on ground water table with a typical pattern; that is, the highest drawdown takes place close to channels, and the maximum elevation of the water table is present in the middle of the area. We try to describe that influence as conductivity-dependent, because its large values for existing sandy soils may cause high exchange between canals and ground water horizons, undoubtedly contributing to the preservation of the natural values of a flooding terrace. Depth to water table was analysed according to the adopted criteria, which describe sandy soil wetness due to effective capillary rise. According to that criteria, maximum allowable depth to water table may not be higher than 0.45 m, the mean depth should be equal to 0.40 m, and the minimum reaching 0.5 m. The assumed threshold values of ground water table (0.3 to 0.45 m below land surface) were achieved on maximum 29% of the area if the channel water levels were increased by 0.5 m in the second analysed scenario. The first scenario (which reflected the actual status of the system) guarantees proper water levels only on 16% of the area. We wish to stress that the restoration target was achieved when ground water table position was between the adopted extremes. This was indeed an assumption. First of all, the criteria seem to be relative, and we also claim that the prescribed water level range is directly assumed as a permanent feature of well-preserved habitats (and their plant species composition), and may be used for scenario comparisons in hydrologic and water management analyses. The appropriateness of the applied threshold values results from their extensive use over the area of Poland and firm relation to crucial soil properties. Hydrologic conditions on sandy terrace favorable for dominating Carex species and widespread Molinia meadows were possible in the middle of the area. As shown by the modelling results, they were not achieved in close-to-channel zones, which would require other hydrologic remediation. Adaptive channel water management is no doubt an option for the maintenance of habitats on sandy deposits of flat river valleys. More detailed scenario studies are indispensable for the decision making on the extent of restoration area. Author Contributions: The study was completed with cooperation between all authors. Andrzej Brandyk conceived and designed the experiments, prepared the conceptual model and wrote material and methods as well as discussion. Grzegorz Majewski performed field measurements, and Adam Kiczko prepared the figures, modeling data and part of the results. 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