The relationship between vegetation and groundwater levels as an indicator of spontaneous wetland restoration

Kopeć, Dominik; Michalska-Hejduk, Dorota; Krogulec, Ewa

doi:10.1016/j.ecoleng.2013.04.028

Cited by 44 publications

(21 citation statements)

References 51 publications

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“…The vegetation of wetland ecosystems depends on the quantity and quality of water available (Kopeć et al 2013), yet by intercepting water on their surface, plants alter hydrological conditions within the ecosystem. Vegetation architecture influences rainfall interception, and forest trees can retain up to 40% of rain (Rutter et al 1972;Mitsch and Gosselink 2000).…”

Section: Introductionmentioning

confidence: 99%

Variation in Leaf Surface Hydrophobicity of Wetland Plants: the Role of Plant Traits in Water Retention

et al. 2017

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Leaf surface wetness has numerous physiological and ecological consequences, and the morphological structures on the leaf surface can affect its extent and duration, contributing to interception rates in the scale of the whole ecosystem. Wetland plants have developed morphological adaptations to high water level allowing them to avoid water excess. Droplet contact angle and surface free energy are measurable parameters which relate to how the plant influences water usage and redistribution. We analysed patterns of contact angle and the surface free energy of the adaxial and abaxial surface of 10 wetland plant species and related them to the optimal habitat conditions and functional traits of the plants. Despite the consistent environment of these plants, we found them to vary greatly in terms of leaf surface wettability and surface free energy, with contact angles ranging from 75 to 169°and surface free energy, from 1.32 to 30.38 mJ/m 2 . Canopy height and leaf longevity were significantly correlated to leaf wettability, whilst SLA (Specific Leaf Area) and leaf shape were not related to hydrophobicity. Investigating adaptations of wetland plants to their environment showed that including wettability and surface free energy in combination with other plant traits improves our understanding of water plant-soil-water interactions in wetland habitats.

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Section: Introductionmentioning

confidence: 99%

Variation in Leaf Surface Hydrophobicity of Wetland Plants: the Role of Plant Traits in Water Retention

et al. 2017

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“…The aim of our study was to assess possible options to include hydrological information in habitat modelling of flood meadow species. The significance of water level fluctuations and water level variability for ecological modelling of wetlands has been emphasized by several studies (e.g., Kopeć, Michalska-Hejduk, & Krogulec, 2013;Leyer, 2005). We included hydrological predictors from a dynamic surface water-groundwater model in a habitat model and found a significant improvement of the model quality compared with habitat models derived only from morphological data (Figure 3).…”

Section: Relevance Of Hydrological Predictors For Flood Meadow Habimentioning

confidence: 85%

“…The significance of water level fluctuations and water level variability for ecological modelling of wetlands has been emphasized by several studies (e.g., Kopeć, Michalska-Hejduk, & Krogulec, 2013;Leyer, 2005). The significance of water level fluctuations and water level variability for ecological modelling of wetlands has been emphasized by several studies (e.g., Kopeć, Michalska-Hejduk, & Krogulec, 2013;Leyer, 2005).…”

Section: Relevance Of Hydrological Predictors For Flood Meadow Habimentioning

confidence: 99%

Modelling of rare flood meadow species distribution by a combined habitat surface water–groundwater model

et al. 2019

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Floodplains are highly complex and dynamic systems in terms of their hydrology.Thus, they comprise a wide habitat heterogeneity and therefore harbour highly specialized species. For future projections of habitat and species diversity, processbased models simulating ecohydrological conditions and resulting habitat and species distributions are needed. We present a new modelling framework that includes a physically based, surface water-groundwater model coupled with a habitat model.Using the model framework, we simulate the occurrence of 23 flood meadow plant species in a Rhine River floodplain. To benchmark the data, results are compared with a conventional approach with simple spatial hydrological information. Our results show that models with predictors obtained from the surface water-groundwater model are significantly more accurate for rare and endangered species, as well as for typical flood meadow species. A total of 15 hydrological predictors were defined, which look relevant and promising for a good prediction, but at the same time reflect very different hydrological conditions. The standard deviation of the groundwater level, wet soil conditions, and inundation belong to the most relevant predictors for an accurate prediction. Therefore, we recommend including more specific hydrological information in habitat models of species in complex floodplain ecosystems. Such spatial explicit habitat models can also open up further possibilities, such as the projection of global change impact studies or nature conservation planning.KEYWORDS ensembles of small models, flood meadow, habitat modelling, hydrological model, rare species, Rhine River, riparian ecosystems, surface water-groundwater model *These authors contributed equally to the work.

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“…Over the past century, the process of rapid artificial drainage development in Poland has become increasingly popular (Lipiński 2006). This process can be observed in groundwater level course and is observed especially on area of the unique the Kampinos National Park (KPN), which consists of a mosaic of dunes and sensitive wetlands, where ground water level highly influences vegetation distribution and their health status (Piniewski et al 2012;Kopeć et al 2013;Krogulec, Zabłocki 2015). The main watercourse (River Łasica) was rectified at the end of the 1960s (Gruszczyński, Krogulec 2012).…”

Section: Hydro-technical System In Kampinos National Parkmentioning

confidence: 99%

Free water table area monitoring on wetlands using satellite and UAV orthophotomaps – Kampinos National Park case study

Góraj

Wróblewski

Ciężkowski

et al. 2019

Meteorol. Hydrol. Water Manage.

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The surface water table level is a crucial factor for the existence of wetland habitats, and valuable from the point of view of environmental protection. In particular, surface water table in a hydrological year play an important role, affecting the seasonal changes in conditions of the development of species inhabiting a given patch of vegetation. The occurrence of floods often determines the possibility of survival of a given plant community. Information on the seasonal variability of surface waters, and above all the range of seasonal floods, is very important from the point of view of planning protection activities in National Parks in order to preserve wetland habitats. Nowadays, remote sensing data is an important source of spatial information, particularly those characterized by low cost data acquisition and processing. One such source is imagery collected from satellites, along with products freely distributed by the European Space Agency. Satellites of the Sentinel constellation provide multi-spectral optical remote sensing images recorded at visible and infrared wavelengths. Due to the short satellite revisit time of the Sentinel, the images from this satellite constitute a potential source of information for the monitoring of moisture on wetlands with a high temporal resolution. In this study, the authors aim to demonstrate the possibilities associated with the use of satellite images to monitor the range of a free surface water table in the pilot area located within the basin of the Łasica Channel, located in the Kampinos National Park (Poland). The accuracy of the results of the remote sensing transformations will be assessed using high resolution RGB images obtained with the use of unmanned aerial vehicles (UAV) and control points measurements. The maps of free water table has been acquired as an result of ensemble regressors (Random Forest, Extra Trees, Bagging). Regressors has been learned and applied for two sessions. Promising results were obtained indicating the possibility of using the proposed method on a similar scale.

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The relationship between vegetation and groundwater levels as an indicator of spontaneous wetland restoration

Cited by 44 publications

References 51 publications

Variation in Leaf Surface Hydrophobicity of Wetland Plants: the Role of Plant Traits in Water Retention

Variation in Leaf Surface Hydrophobicity of Wetland Plants: the Role of Plant Traits in Water Retention

Modelling of rare flood meadow species distribution by a combined habitat surface water–groundwater model

Free water table area monitoring on wetlands using satellite and UAV orthophotomaps – Kampinos National Park case study

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