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Long-term monitoring of post-mining rehabilitation is inherently difficult and cannot be replicated, making the application of traditional experimental and statistical approaches for quantitative assessment of rehabilitation progress unattainable. An alternative approach to monitoring through time is space-for-time substitution; a technique used to infer a temporal trend from a study of different aged sites. In this investigation, space-for-time substitution was applied to two chronosequences of coal discard sites to determine the applicability of this approach to show the long-term effect of rehabilitation age on microbial communities. Sites at different stages of rehabilitation at separate locations (space) were identified to obtain a chronosequence of ages (time). Two chronosequences of rehabilitation ages from 1-11 and 6-17 years, respectively, were included, each with its own management regime. The long-term effect of the management regimes on soil microbial communities was investigated in terms of community function (enzymatic assays) and structure (phospholipid fatty acid profiles). Results showed no trends consistent with the rehabilitation ages of the respective sites for any of the investigated parameters. However, multivariate statistical analysis indicated a clear distinction between the chronosequences based on management regimes. This study shows the value of alternative statistical approaches in monitoring to elucidate long-term effects of management that might otherwise not be apparent.

10.1007/s11270-008-9719-7 http://www.springerlink.com/content/6171x71459w22456/?p=c5990faa540b4cfaa9aee12e99b5c534&pi=25

http://dx.doi.org/10.1007/s00254-008-1250-z http://www.springerlink.com/content/923m4315n10w2407/fulltext.pdf

The rehabilitation of degraded soils, such as those associated with post-mining sites, requires knowledge of the soil ecosystem and its physical, chemical, and biological composition in order for rehabilitation efforts to fulfil the long-term goal of reconstructing a stable ecosystem for rehabilitated mine soil. This study addresses the need for appropriate assessment criteria to determine the progress of rehabilitation and subsequently the success of management practices. Significant contributions made by this investigation included the establishment of minimum and maximum values for microbial community measurements from two case studies of rehabilitated coal discard sites. Furthermore, it was shown that there was no relationship between changes in microbial community function and structure and the rehabilitation age of the sites. Following this, the considerable impact of management practices on microbial communities was illustrated. The first part of the study investigated the temporal changes in microbial community function and structure in a chronosequence of rehabilitated coal discard sites aged 1 to 11 years. The most important observation made during the investigation of the microbial communities in the different aged soil covers of the rehabilitated coal discard sites, was that there was no relationship between rehabilitation age and microbial activity or abundance of certain microbial groups. What was responsible for a clear differentiation between sites and a shift in microbial community attributes was the management practices applied. A comparison of two chronosequences of rehabilitated coal discard sites was achieved by an application of the 'space-for-time' hypothesis. Sites of different ages and at separate locations ('space') were identified to obtain a chronosequence of ages ('time'). The two chronosequences included sites aged 1 to 11 years (chronosequence A) and 6 to 17 years (chronosequence B), respectively. Sites in the same chronosequence were managed identically, while there was a distinct difference in management practices applied to each chronosequence. The long-term effect of the different management regimes on the soil microbial community function and structure was investigated. Again, there was no relationship between rehabilitation age and microbial community measurements. Fluctuations of selected microbial properties occurred in both chronosequences and similar temporal trends existed over the rehabilitation periods. However, the less intensively managed chronosequence (8) seemed more stable (less fluctuation occurred) over the rehabilitation period than the more intensively managed chronosequence (A). It was therefore concluded that the microbial communities in the less managed sites maintained their functional and structural integrity within bounds in the absence of management inputs or disturbance. While there was similarity in the trends over time for individual microbial community measurements, the seemingly more stable conditions in chronosequence 6 are important in terms of the goal of rehabilitation. Thesis (Ph.D. (Environmental Science)--North-West University, Potchefstroom Campus, 2007

Thesis (Ph.D. (Environmental Science)--North-West University, Potchefstroom Campus, 2007 The rehabilitation of degraded soils, such as those associated with post-mining sites, requires knowledge of the soil ecosystem and its physical, chemical, and biological composition in order for rehabilitation efforts to fulfil the long-term goal of reconstructing a stable ecosystem for rehabilitated mine soil. This study addresses the need for appropriate assessment criteria to determine the progress of rehabilitation and subsequently the success of management practices. Significant contributions made by this investigation included the establishment of minimum and maximum values for microbial community measurements from two case studies of rehabilitated coal discard sites. Furthermore, it was shown that there was no relationship between changes in microbial community function and structure and the rehabilitation age of the sites. Following this, the considerable impact of management practices on microbial communities was illustrated. The first part of the study investigated the temporal changes in microbial community function and structure in a chronosequence of rehabilitated coal discard sites aged 1 to 11 years. The most important observation made during the investigation of the microbial communities in the different aged soil covers of the rehabilitated coal discard sites, was that there was no relationship between rehabilitation age and microbial activity or abundance of certain microbial groups. What was responsible for a clear differentiation between sites and a shift in microbial community attributes was the management practices applied. A comparison of two chronosequences of rehabilitated coal discard sites was achieved by an application of the 'space-for-time' hypothesis. Sites of different ages and at separate locations ('space') were identified to obtain a chronosequence of ages ('time'). The two chronosequences included sites aged 1 to 11 years (chronosequence A) and 6 to 17 years (chronosequence B), respectively. Sites in the same chronosequence were managed identically, while there was a distinct difference in management practices applied to each chronosequence. The long-term effect of the different management regimes on the soil microbial community function and structure was investigated. Again, there was no relationship between rehabilitation age and microbial community measurements. Fluctuations of selected microbial properties occurred in both chronosequences and similar temporal trends existed over the rehabilitation periods. However, the less intensively managed chronosequence (8) seemed more stable (less fluctuation occurred) over the rehabilitation period than the more intensively managed chronosequence (A). It was therefore concluded that the microbial communities in the less managed sites maintained their functional and structural integrity within bounds in the absence of management inputs or disturbance. While there was similarity in the trends over time for individual microbial community measurements, the seemingly more stable conditions in chronosequence 6 are important in terms of the goal of rehabilitation. Doctoral

Thesis (M. Environmental Science)--North-West University, Potchefstroom Campus, 2004. Mining activities cause severe disturbance to the soil environment in terms of soil quality and productivity and are of serious concern worldwide. Under South African legislation, developers are required to ecologically rehabilitate damaged environments. The application of agronomic approaches for the rehabilitation of coal discard sites has failed dismally in the arid areas of southern Africa. It is obvious that compliance with mitigation and rehabilitation requirements cannot be enforced without a thorough understanding of the ecological principles that ensure ecological stability and subsequent sustainability of soil ecosystems. Soil micro organisms are crucial role-players in the processes that make energy and nutrients available for recycling in the soil ecosystem. Poor management practices and other negative impacts on soil ecosystems affect both the physical and chemical properties of soil, as well as the functional and structural properties of soil microbial communities. Disturbances of soil ecosystems that impact on the normal functioning of microbial communities are potentially detrimental to soil formation, energy transfers, nutrient cycling, plant reestablishment and long-term stability. In this regard, an extensive overview of soil properties and processes indicated that the use of microbiological and biochemical soil properties, such as microbial biomass, enzymatic activity and the analysis of microbial community structure by the quantification of specific signature lipid biomarkers are useful as indicators of soil ecological stress or restoration properties because they are more responsive to small changes than physical and chemical characteristics. In this study, the relationship between the physical and chemical characteristics and different biological indicators of soil quality in the topsoil covers of seven coal discard sites under rehabilitation in South Africa, as well as three reference sites was investigated. Through the assimilation of basic quantitative data and the assessment of certain physical, chemical and biological properties of the topsoil covers obtained from the various coal discard sites as well as the reference sites, the relative success or progress of rehabilitation and the possible correlation between the biological indicators of soil quality and the establishment of self sustaining vegetation covers was determined. Results from soil physical and chemical analyses and percentage vegetation cover were correlated with the results obtained for the functional and structural diversity of microbial communities at the various sites. All results were investigated through statistical and multivariate analysis and the most prominent physical and chemical parameters that influence the biological and biochemical properties of the soil and possibly the establishment of self-sustainable vegetation cover on these mine-tailing sites were identified. Results obtained from this study indicated no significant difference (p>0.05) between the various discard sites based on conventional microbiological enumeration techniques. However, significant differences (p

Mining activities cause severe disturbance to the soil environment in terms of soil quality and productivity and are of serious concern worldwide. Under South African legislation, developers are required to ecologically rehabilitate damaged environments. The application of agronomic approaches for the rehabilitation of coal discard sites has failed dismally in the arid areas of southern Africa. It is obvious that compliance with mitigation and rehabilitation requirements cannot be enforced without a thorough understanding of the ecological principles that ensure ecological stability and subsequent sustainability of soil ecosystems. Soil micro organisms are crucial role-players in the processes that make energy and nutrients available for recycling in the soil ecosystem. Poor management practices and other negative impacts on soil ecosystems affect both the physical and chemical properties of soil, as well as the functional and structural properties of soil microbial communities. Disturbances of soil ecosystems that impact on the normal functioning of microbial communities are potentially detrimental to soil formation, energy transfers, nutrient cycling, plant reestablishment and long-term stability. In this regard, an extensive overview of soil properties and processes indicated that the use of microbiological and biochemical soil properties, such as microbial biomass, enzymatic activity and the analysis of microbial community structure by the quantification of specific signature lipid biomarkers are useful as indicators of soil ecological stress or restoration properties because they are more responsive to small changes than physical and chemical characteristics. In this study, the relationship between the physical and chemical characteristics and different biological indicators of soil quality in the topsoil covers of seven coal discard sites under rehabilitation in South Africa, as well as three reference sites was investigated. Through the assimilation of basic quantitative data and the assessment of certain physical, chemical and biological properties of the topsoil covers obtained from the various coal discard sites as well as the reference sites, the relative success or progress of rehabilitation and the possible correlation between the biological indicators of soil quality and the establishment of self sustaining vegetation covers was determined. Results from soil physical and chemical analyses and percentage vegetation cover were correlated with the results obtained for the functional and structural diversity of microbial communities at the various sites. All results were investigated through statistical and multivariate analysis and the most prominent physical and chemical parameters that influence the biological and biochemical properties of the soil and possibly the establishment of self-sustainable vegetation cover on these mine-tailing sites were identified. Results obtained from this study indicated no significant difference (p>0.05) between the various discard sites based on conventional microbiological enumeration techniques. However, significant differences (p