16 research outputs found

    Spatial variability more influential than soil pH and land relief on thermophilous vegetation in overgrown coppice oak forests

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    The overgrown coppice oak forests that cover the southern slopes beneath the foothills of the Sudetes (Silesia, Central Europe) are considered to be Euro-Siberian steppic woods with a Quercus sp. habitat (91I0): a priority habitat in the European Union, according to the Natura 2000 system. In subcontinental parts of Central Europe, thermophilous oak forest vegetation is found extrazonally; its presence, in the study site, is related to previous coppice management. In this paper we explore the differentiation of the vegetation caused both by land-relief derived variables (potential heat load, slope inclination and exposition, soil depth) and soil pH, as well as spatial processes. The data on the vegetation were collected from 117 regularly arranged sampling plots, located in three mountain ranges. The vegetation consisted of a mixture of species considered as typical for different habitats (mesophilous forests, acidophilous forests, thermophilous oak forests, grassland, thermophilous fringes and mesophilous mantle) and was relatively rich in species. Many of the species found were rare and are protected in Poland. The results of the bioindication, on the basis of Ellenberg indicator values, suggest the pH gradient to be the most important, followed by the insolation/moisture gradient, to the differentiation of the studied vegetation. The thermophilous oak forests seem to occupy the niche between acidophilous and mesophilous forest. However the decomposition of spatial variation, assessed on the basis of semivariance values of the vegetation similarity coefficient (frequency index), emphasizes a strong differentiation of vegetation between sites and mountain ranges. The results of canonical correspondence analysis, performed on a spatially stratified sub-set of the data, revealed a stronger effect caused by spatial variation (32.7% of explained species variation) than environmental variables, such as soil pH and potential heat load (13.1%). Since the shared variation was low (1.8%), it showed a strong influence of spatial processes, revealing the effect of the local species pool

    Spatial variability more influential than soil pH and land relief on thermophilous vegetation in overgrown coppice oak forests

    Get PDF
    The overgrown coppice oak forests that cover the southern slopes beneath the foothills of the Sudetes (Silesia, Central Europe) are considered to be Euro-Siberian steppic woods with a Quercus sp. habitat (91I0): a priority habitat in the European Union, according to the Natura 2000 system. In subcontinental parts of Central Europe, thermophilous oak forest vegetation is found extrazonally; its presence, in the study site, is related to previous coppice management. In this paper we explore the differentiation of the vegetation caused both by land-relief derived variables (potential heat load, slope inclination and exposition, soil depth) and soil pH, as well as spatial processes. The data on the vegetation were collected from 117 regularly arranged sampling plots, located in three mountain ranges. The vegetation consisted of a mixture of species considered as typical for different habitats (mesophilous forests, acidophilous forests, thermophilous oak forests, grassland, thermophilous fringes and mesophilous mantle) and was relatively rich in species. Many of the species found were rare and are protected in Poland. The results of the bioindication, on the basis of Ellenberg indicator values, suggest the pH gradient to be the most important, followed by the insolation/moisture gradient, to the differentiation of the studied vegetation. The thermophilous oak forests seem to occupy the niche between acidophilous and mesophilous forest. However the decomposition of spatial variation, assessed on the basis of semivariance values of the vegetation similarity coefficient (frequency index), emphasizes a strong differentiation of vegetation between sites and mountain ranges.The results of canonical correspondence analysis, performed on a spatially stratified sub-set of the data, revealed a stronger effect caused by spatial variation (32.7% of explained species variation) than environmental variables, such as soil pH and potential heat load (13.1%). Since the shared variation was low (1.8%), it showed a strong influence of spatial processes, revealing the effect of the local species pool

    Connectivity assessment and prioritization of urban grasslands as a helpful tool for effective management of urban ecosystem services.

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    Urban grasslands are usually managed as short-cut lawns and have limited biodiversity. Urban grasslands with low-intensity management are species rich and can perform numerous ecosystem services, but they are not accepted by citizens everywhere. Further, increasing and/or maintaining a relatively high level of plant species richness in an urban environment is limited by restricted plant dispersal. In this study, we examined the connectivity of urban grasslands and prioritized the grassland patches with regard to their role in connectivity in an urban landscape. We used high-resolution data from a land use system to map grassland patches in Wrocław city, Silesia, southwest Poland, Central Europe, and applied a graph theory approach to assess their connectivity and prioritization. We next constructed a model for several dispersal distance thresholds (2, 20, 44, 100, and 1000 m), reflecting plants with differing dispersal potential. Our results revealed low connectivity of urban grassland patches, especially for plants with low dispersal ability (2-20 m). The priority of patches was correlated with their area for all dispersal distance thresholds. Most of the large patches important to overall connectivity were located in urban peripheries, while in the city center, connectivity was more restricted and grassland area per capita was the lowest. The presence of a river created a corridor, allowing plants to migrate along watercourse, but it also created a barrier dividing the system. The results suggest that increasing the plant species richness in urban grasslands in the city center requires seed addition

    Effect of anthropogenic factors, landscape structure, land relief, soil and climate on risk of alien plant invasion at regional scale

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    We compared the effectiveness of explanatory variables representing different environmental spheres on the risk of alien plant invasion. Using boosted regression trees (BRT), we assessed the effect of anthropogenic factors, soil variables, land relief, climate and landscape structure on neophyte richness (NR) (alien plant species introduced after the 15th century). Data on NR were derived from a 2 × 2 km grid covering a total area of 31,200 km^{2} of the Carpathian massif and its foreground, Central Europe. Each of the examined environmental spheres explained NR, but their explanatory ability varied more than two-folds. Climatic variables explained the highest fraction of deviation, followed by anthropogenic factors, soil type, land relief and landscape structure. The global model, which incorporated crucial variables from all studied environmental spheres, had the best explanatory ability. However, the explained deviation was far smaller than the sum of the deviations explained by the single-sphere models. The global model showed that the deviation that could be explained by variables representing particular spheres, overlapped. The variables representing landscape structure were not included in the global model as they were found to be redundant. Finally, the climatic variables explained a smaller fraction of the deviation than the anthropogenic factors. The partial dependency plots allowed the assessment of the course of dependencies between NR and particular explanatory variables after eliminating the average effect of all other variables. The relationships were usually curvilinear and revealed some values of environmental variables beyond which NR changed considerably

    Genetic structure of Trifolium pratense populations in a cityscape

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    Urban grasslands provide numerous ecosystem services, and their maintenance should be based on naturally regenerating plant populations. However, the urban environment is challenging for preserving viable populations, mostly because of their high fragmentation and small size, which can lead to genetic drift. We examined red clover (Trifolium pratense) in a medium-size city in Central Europe to test the cityscape effect on within- and among-population genetic diversity. We used eight inter-simple sequence repeat markers to examine the genetic structure of 16 populations, each represented by eight individuals. The isolation by resistance was analysed using a least cost patch approach, focusing on gene flow via pollinators. We found great variation among T. pratense populations, with no discernible geographic pattern in genetic diversity. We linked the diversity to the long history of the city and high stochasticity of land use changes that occurred with city development. In particular, we did not find that the Odra River (ca. 100 m wide) was a strong barrier to gene transfer. However, notable isolation was present due to resistance and distance, indicating that the populations are threatened by genetic drift. Therefore, gene movement between populations should be increased by appropriate management of urban green areas. We also found that small urban grassland (UG) patches with small populations can still hold rare alleles which significantly contribute to the overall genetic variation of T. pratense in the city

    The effect of ecological niche and spatial pattern on the diversity of oak forest vegetation

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    <div><p><i><b>Background:</b></i> Ecological niche and spatial processes are known to shape the species composition of plant communities. However, the relative importance of these factors can vary considerably from one habitat to another.</p><p><b><i>Aims:</i></b> To determine the effect of environmental conditions and spatial processes on multiple scales on the species composition of forest vegetation, we studied a patchy system consisting of overgrown oak stands of coppice origin on slopes with a southern exposure in a diverse, submontane landscape.</p><p><b><i>Methods:</i></b> Spatial patterns were surveyed with the principal coordinate analysis of neighbour matrices method, using a ‘staggered’ matrix to examine the effect of nested spatial scales. The variation partitioning procedure was applied to assess the relative influence of spatial and environmental components. Redundancy analysis was carried out to detect the effect of particular environmental variables.</p><p><b><i>Results:</i></b> Vegetation composition was related to environmental variables (mostly water-holding capacity and Ca content), as well as spatial processes, such as dispersal limitation, at the large (ca. 15 km) and medium (ca. 3.5 km–1.0 km) scales, whereas at small scales (<1 km), these factors were not related to species composition.</p><p><b><i>Conclusions</i>:</b> The vegetation of the studied forests should be considered as a metacommunity, and the main drivers of species composition are species sorting and dispersal limitation.</p></div

    Effects of extracts from various parts of invasive Solidago species on the germination and growth of native grassland plant species

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    Allelopathy is an important factor influencing whether an invasive plant species can become successfully established in a new range through disrupting the germination and growth of native plant species. Goldenrods (Solidago species) are one of the most widespread invasive taxa in Central Europe of North American origin. Owing to their high environmental impact and wide distribution range, invasive Solidago species should be controlled in Europe, and the areas invaded by them should be restored. Numerous studies have reported the allelopathic effects of Solidago gigantea and Solidago canadensis, but the results are inconsistent regarding differences in the allelopathic effects of particular plant parts and in the sensitivity to Solidago allelopathic effects among native species as well as between the two invasive species themselves. In this study, we aimed to analyse the effect of water extracts from S. canadensis and S. gigantea parts (roots, rhizomes, stems, leaves, and inflorescences) on the germination and initial growth of seedlings of 13 grassland species that typically grow in Central Europe. The tested grassland species differed in susceptibility to Solidago allelopathy, with the most resistant species being Schedonorus pratensis, Lolium perenne, Trifolium pratense, Daucus carota and Leucanthemum vulgare. The inhibitory effect of 10% water extracts from leaves and flowers were stronger than those from rhizomes, roots, and stems without leaves, regardless of the Solidago species. Our study results imply that reducing the allelopathic effect of Solidago during habitat restoration requires removal of the aboveground parts, including fallen leaves. The allelopathic effects of roots and rhizomes seem to be of secondary importance

    Drivers of Solidago species invasion in Central Europe : case study in the landscape of the Carpathian Mountains and their foreground

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    AIM: The invasion process is a complex, context‐dependent phenomenon; nevertheless, it can be described using the PAB framework. This framework encompasses the joint effect of propagule pressure (P), abiotic characteristics of the environment (A), and biotic characteristics of both the invader and recipient vegetation (B). We analyzed the effectiveness of proxies of PAB factors to explain the spatial pattern of Solidago canadensis and S. gigantea invasion using invasive species distribution models. LOCATION: Carpathian Mountains and their foreground, Central Europe. METHODS: The data on species presence or absence were from an atlas of neophyte distribution based on a 2 × 2 km grid, covering approximately 31,200 km(2) (7,752 grid cells). Proxies of PAB factors, along with data on historical distribution of invaders, were used as explanatory variables in Boosted Regression Trees models to explain the distribution of invasive Solidago. The areas with potentially lower sampling effort were excluded from analysis based on a target species approach. RESULTS: Proxies of the PAB factors helped to explain the distribution of both S. canadensis and S. gigantea. Distributions of both species were limited climatically because a mountain climate is not conducive to their growth; however, the S. canadensis distribution pattern was correlated with proxies of human pressure, whereas S. gigantea distribution was connected with environmental characteristics. The varied responses of species with regard to distance from their historical distribution sites indicated differences in their invasion drivers. MAIN CONCLUSIONS: Proxies of PAB are helpful in the choice of explanatory variables as well as the ecological interpretation of species distribution models. The results underline that human activity can cause variation in the invasion of ecologically similar species

    Spatial patterns of vascular plant species richness in Poland - a data set

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    Abstract Recognition of species richness spatial patterns is important for nature conservation and theoretical studies. Inventorying species richness, especially at a larger spatial extent is challenging, thus different data sources are joined and harmonized to obtain a comprehensive data set. Here we present a new data set showing vascular plant species richness in Poland based on a grid of 10 × 10 km squares. The data set was created using data from two sources: the Atlas of Distribution of Vascular Plants in Poland and the Polish Vegetation Database. Using this data set, we analysed 2,160 species with taxonomical nomenclature according to the Euro + Med PlantBase checklist in 3,283 squares covering the entire territory of Poland (ca. 312,000 km2). The species were divided into groups according to their status and frequency of distribution, and the statistics for each square were obtained. For purposes of analysis, sampling bias was assessed. The data set promotes theoretical analysis on species richness and reinforces the planning of nature conservations
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