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Nixdorf, Brigitte; Kapfer, Maria

doi:10.1023/a:1005165615804

Cited by 32 publications

(2 citation statements)

References 11 publications

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“…Due to the microbial mediated oxidative dissolution of pyrite and other sulfide minerals, these AMLs are characterized by low pH and high concentrations of sulfate and metals (Nordstrom and Alpers 1999;K€ usel et al 2001). The primary production rate in the AMLs has been found to be typically lower than that in the natural weakly alkaline lakes (WALs) (Nixdorf and Kapfer 1998). Most types of dissolved organic carbon (DOC) in AMLs are recalcitrant , and the production rate in those habitats may be carbon-limited Kamjunke et al 2006).…”

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confidence: 99%

Contrasting patterns of freshwater microbial metabolic potentials and functional gene interactions between an acidic mining lake and a weakly alkaline lake

Ren

Song

Xing

et al. 2017

Limnology & Oceanography

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Acidic coal mining lakes (AMLs) are characterized by low pH, low biodiversity, and high concentrations of sulfate and metals. However, to date, knowledge is inadequate on the involvement of the aquatic microbial functions in biogeochemical processes of an AML. Here, we use a natural weakly alkaline lake (WAL) as a reference to investigate the functional gene structure of microbial communities in the aerobic surface waters of an AML by using a metagenomic approach with GeoChip‐based functional gene arrays (GeoChip 5.0). We found significant differences in the compositions of the microbial functional genes between the two lake types. The AML had significantly lower gene diversity than the WAL, and the functional genes detected in the AML were almost a subset of those in the WAL. We also found significant differences in the microbial metabolic potentials between the two lake types. In the AML, the microbial communities had higher functional capacities in phosphorus‐utilization, sulfur oxidation, and metal‐detoxification and had lower metabolic potentials of carbon and nitrogen fixation, and the degradation of starch, hemicellulose, cellulose, chitin, and lignin than those in the WAL. By performing null model and network analyses, we observed stronger deterministic effects of the functional gene assemblages and greater clustering among the co‐occurring functional genes in the AML than those in the WAL. Altogether, we demonstrated contrasting patterns of freshwater microbial metabolic potentials and functional gene interactions between an AML and a WAL, which may advance the understanding of microbial functional response to acidification in freshwater lakes.

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confidence: 99%

Contrasting patterns of freshwater microbial metabolic potentials and functional gene interactions between an acidic mining lake and a weakly alkaline lake

Ren

Song

Xing

et al. 2017

Limnology & Oceanography

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“…This scenario is also unlikely as microbes are reported to have greater resilience to lower pH conditions than phytoplankton . There is also the possibility that organic carbon was generated in the lake by benthic algae; growth of benthic algae was observed in laboratory microcosms with lake water and has been observed elsewhere in acidic pit lakes; , however, if occurring in this system, its significance remains unclear.…”

Section: Resultsmentioning

confidence: 99%

Quantifying Lake Water Quality Evolution: Coupled Geochemistry, Hydrodynamics, and Aquatic Ecology in an Acidic Pit Lake

Salmon

Hipsey

Wake

et al. 2017

Environ. Sci. Technol.

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Assessment of water quality evolution in the thousands of existing and future mine pit lakes worldwide requires new numerical tools that integrate geochemical, hydrological, and biological processes. A coupled model was used to test alternative hypothesized controls on water quality in a pit lake over ∼8 years. The evolution of pH, Al, and Fe were closely linked; field observations were reproduced with generic solubility equilibrium controls on Fe(III) and Al and a commonly reported acceleration of the abiotic Fe(II) oxidation rate by 2-3 orders of magnitude. Simulations indicated an ongoing acidity loading at the site, and the depletion of Al mineral buffering capacity after ∼5 years. Simulations also supported the existence of pH limitation on nitrification, and a limitation on phytoplankton growth other than the commonly postulated P and DIC limitations. Furthermore, the model reproduced the general patterns of salinity, pH, Al, and Fe during an uncontrolled river breach in 2011, however, incorporating sediment biogeochemical feedbacks is required to reproduce the observed postbreach internal alkalinity generation in the lake. The modeling approach is applicable to the study of hydrological, geochemical, and biological interactions for a range of lake and reservoir management challenges.

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