Search

The way of disposing of rock mineral material has a significant impact on subsequent spontaneous vegetation succession, soil properties, and respiration. We compared seven spontaneously vegetated samples from a large (2 km2) borrow pit used to dispose of the byproducts of a hard coal mine with seven plots from four coal mine spoil heap piles. We used BIOLOG EcoPlates to assess the microbial catabolic activity of the substrate. The substrate in the borrow pit was characterized by higher water content and lower temperature compared to the heap pile substrate. The borrow pit had a more diverse plant community structure. Higher Rao's quadratic entropy, functional richness, and functional divergence were also calculated from plant functional traits in borrow pit samples. Although borrow pit samples showed higher total microbial biomass, bacteria/fungi ratio, and gram+/gram− ratio, and heap pile samples showed higher soil enzymatic activity, microbial functional diversity, and catabolic activity, these differences were not significant. Soil respiration from the borrow pit substrate was two folds higher. The borrow pit method of disposing of rock mineral material can be suggested to speed up spontaneous vegetation succession. This research provides new insights into the effects of burying hard coal byproducts in borrow pits and offers guidance for the management of hard coal mining. [ABSTRACT FROM AUTHOR]

Coal is the most abundant fossil fuel in Europe, but the excavation of hard coal has covered large areas with disposed rock waste, and turned the natural habitats into disturbed novel ecosystems with harsh conditions differ in time and space. To examine the spontaneous complex successional gradient, we studied a large number of post coalmine heaps in Upper Silesia, which differ in vegetation type and age. Cluster analysis based on plant community composition (367 species in total) separated all surveyed plots on coal mining spoil heaps with herbaceous vegetation from Late Stage (LS) forests aged 14--56 years. Furthermore, the herbaceous vegetation was sub-grouped to three stages: Initial Stage (IS) aged 2--5 years, Early Stage (ES) aged 3--8 years and Mid-Stage (MS) aged 5--12 years. MS vegetation was characterised by the highest species richness and diversity (47 and 2.79) compared to ES (30 and 2.18) and IS (9 and 1.6), but higher species number and a similar diversity index occurred in LS (37 and 2.81). Functional diversity (FD) and community weighted mean (CWM) of nine functional traits showed higher (23.1) functional richness, higher (0.72) functional divergence, higher (4.5) functional dispersion, and higher value (24.4) of Rao's quadratic entropy in LS compared to those calculated from the first three stages. Species at the initial successional stage (IS) were characterised by lower canopy height, seed mass, higher lateral spread, and specific leaf area (SLA). Additionally, the lowest (0.22 mg CO2 per hour per square metre) soil respiration (Sr) rate was recorded from IS compared to (0.53, 0.82 and 1.00) from ES, LS and MS, respectively. The soil water content (SWC) was the most important factor affecting the soil respiration, while the soil temperature (St) did not follow the well-studied relationship between soil respiration and soil temperature. Our spatial and temporal analyses illustrated changes in plant community assembly processes in the course of spontaneous vegetation succession on post coalmine spoil heaps. The importance of trait mediated abiotic filtration in community assembly in initial-, early-, and mid-stages of succession with an increase in competitive exclusion at the late successional stage was emphasized. [ABSTRACT FROM AUTHOR]

(1): The Upper Silesia region of Poland is one of the most extensively altered regions of Europe due to human activity, especially coal mining. (2): We used cluster analysis to examine the floristic composition of three classified forest communities: forests developed on post-coal mine mineral heaps (HF), mixed deciduous forests (DECI), and managed secondary coniferous forests (CON). Vegetation data were collected from 44 randomly selected plots, and plant traits connected with persistence, dispersal, and regeneration were taken from commonly used plant trait databases. (3): Higher species richness, species diversity, and evenness (36, 2.7, and 0.76, respectively) were calculated for HF plots compared with those plots from DECI (22, 1.9, and 0.62) and CON (18, 2.0, and 0.71) plots. Higher functional richness (0.173, 0.76) and functional divergence were determined for HF compared with those calculated for DECI (FRic 0.090, FDiv 0.71) and CON (FRic 0.026, FDiv 0.69). In contrast, the substrate from HF forests had significantly lower soil respiration (0.76 mg-CO2 h/m2) compared with substrates from both CON and DECI forests (0.90 and 0.96 mg-CO2 h/m2, respectively); (4): A set of complex abiotic stresses which plants suffer from on coal mine spoil heaps shaped different patterns of taxonomic and functional diversity. These findings demonstrate the importance of investigating successional aspects and carbon dynamics of de novo forests which have developed on post-coal mine spoil heaps in urban industrial areas. [ABSTRACT FROM AUTHOR]

The primary producers and processes of matter and energy flow, reflected by the soil enzyme activity, are the basics of all ecosystem functioning processes. This paper reviews the relationships between the plant diversity, the physicochemical substrate parameters, and the soil enzymatic activity in novel ecosystems of the urban–industrial landscape, where the factors driving soil enzyme activity are not fully understood and still need to be studied. The relationship between the biotic and abiotic factors in the development of novel ecosystems on de novo established habitats, e.g., sites of post-mineral excavation, are shaped in ways unknown from the natural and the semi-natural habitats. The main criteria of de novo established ecosystems are the vegetation patches of the non-analogous species composition created as a result of human impact. The non-analogous species assemblages are associated with different microorganism communities because the biomass and the biochemistry of soil organic matter influence the enzyme activity of soil substrates. Moreover, the soil enzyme activity is an indicator that can dynamically reflect the changes in the microbial community structure dependent on the best-adapted plant species, thanks to the particular traits and individual adaptive adjustments of all the plant species present. This way, soil enzyme activity reflects the sum and the interactions of the elements of the ecosystem structure, irrespective of the vegetation history and the habitat origin. [ABSTRACT FROM AUTHOR]

The post‐industrial habitats provide previously unknown conditions for plant and vegetation development. We asked the question: do the extreme soil substrate conditions cause differences in chemical composition of cell walls of leaves in three grass species: Calamagrostis epigejos (L.) Roth, Phragmites australis (Cav.) Trin. ex Steud, and Molinia caerulea (L.) Moench? With the use of immunohistochemical methods we determined the spatial distribution of selected pectic and AGP (arabinogalactan proteins) epitopes within leaf tissues of grass species growing in two industrial and control (meadow) habitats. Some post‐industrial habitats increase biodiversity. Fast adaptation and divergence cause phenotypic changes. This process has been recently recorded and is called human‐induced rapid evolutionary changes. The levels of pectins and arabinogalactan proteins increased on the post‐industrial habitats in comparison to the control sites. On control habitat, pectic epitope with galactan chain residues (recognised by the LM5 antibody) was not detected in cell walls of Calamagrostis epigejos leaves, but was abundantly present in Phragmites australis leaves. The pectic epitope with arabinan residues (recognized by LM6 antibody) was less represented in cell walls of Molinia caerulea leaves. AGP epitope, recognised by LM2 antibody, was abundant only in Ph. australis. In Molinia caerulea this epitope was not detected. The AGP epitope recognised by JIM13 antibody was observed in all analysed species. The results obtained revealed the response of grass individuals to different environments: a) varied responses to different soil substratum conditions (novel ecosystems), and b) that this reaction is species‐specific with respect to the analysed cell wall components. [ABSTRACT FROM AUTHOR]

The effects of natural processes on deposited mineral material of postindustrial sites is underestimated. Natural vegetation development on mineral material substratum is an unappreciated way of site management. Due to the classification‐based approach to assembly of plant community diversity, remote sensing methods have limited application. We aimed to assess whether remotely sensed data allow for building predictive models, able to recognise vegetation variability along the main gradients of species composition. We assessed vegetation in 321 study plots on four coal‐mine spoil heaps in Silesia (S Poland). We determined the main gradients of species composition using detrended correspondence analysis (DCA), and we identified how DCA scores describe vegetation variability. DCA axes explained 38.5%, 35.4%, 31.4%, and 20.1% of species composition variability. We built machine learning models of DCA scores using multispectral satellite images and airborne laser scanning data as predictors. We obtained good predictive power of models for the first two DCA axes (R2 = 0.393 and 0.443, root mean square errors, RMSE = 0.571 and 0.526) and low power for the third and fourth DCA axes (R2 = 0.216 and 0.064, RMSE = 0.513 and 0.361). These scores allowed us to prepare a vegetation map based on DCA scores, and distinguish meadow‐like from forest‐edge‐like vegetation, and to identify thermophilous and highly productive vegetation patches. Our approach allowed us to account for species composition gradients, which improved remote sensing‐based vegetation surveys. This method may be used for planning future management. [ABSTRACT FROM AUTHOR]

Copyright of Ecological Engineering / Inżynieria Ekologiczna is the property of Polish Society of Ecological Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)