Comparison of bacterial and phytoplankton productivity in extremely acidic mining lakes and eutrophic hard water lakes

Nixdorf, Brigitte; Krumbeck, Hartwig; Jander, Jörn; Beulker, Camilla

doi:10.1016/s1146-609x(03)00031-6

Cited by 46 publications

(41 citation statements)

References 17 publications

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“…The equivalent C sinking loss of iron snow estimated from its C content and sedimentation rate is approximately 121 and 600 mg C m 22 d 21 at CB and NB, respectively. However, this rough estimate is one to two orders of magnitude lower than C sedimentation rates observed in pH-neutral lakes (Grossart and Simon 1998;Moreira-Turcq et al 2004), where less extreme geochemical conditions result in a higher planktonic primary production (Gyure et al 1987;Nixdorf et al 2003;Kamjunke et al 2005).…”

Section: Discussionmentioning

confidence: 85%

“…Eunotia spp. are widely distributed in both acidic aquatic environments and lignite mining-associated lakes (Nixdorf et al 2001). …”

Section: Biotic Vs Abiotic Fe(ii) Oxidation-oxicmentioning

confidence: 99%

“…In Germany, . 500 pit lakes originating from lignite mining exist with pH values ranging from below 2.5 to above 7 (Nixdorf and Kapfer 1998;Nixdorf et al 2001). Pit lakes are characterized by the release of protons, sulfate, and Fe(II) from the oxidative weathering of Fe(II) sulfides in weakly buffered and dump-affected catchments.…”

mentioning

confidence: 99%

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Pelagic boundary conditions affect the biological formation of iron‐rich particles (iron snow) and their microbial communities

Reiche

Ciobotă

et al. 2011

Limnology & Oceanography

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We studied the formation of iron-rich particles at steeply opposing gradients of oxygen and Fe(II) within the redoxcline of an acidic lignite mine lake (pH 2.9). Particles formed had a diameter of up to 380 mm, showed high sedimentation velocity (, 2 m h 21 ), and were dominated by the iron mineral schwertmannite. Although the particles were highly colonized by microbial cells (, 10 10 cells [g dry weight] 21 ), the organic carbon content was below 11%. Bathymetry and the inflow of less acidic, Fe(II)-rich groundwater into the northern basin of the lake results in two distinct mixing regimes in the same lake. The anoxic monimolimnion of the northern basin had higher pH, Fe(II), dissolved organic carbon, and CO 2 values compared with the more central basin. Particles formed in the northern basin differed in color, were smaller, had higher organic carbon contents, but were still dominated by schwertmannite. Microcosm incubations revealed the dominance of microbial Fe(II) oxidation.

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Section: Discussionmentioning

confidence: 85%

“…Eunotia spp. are widely distributed in both acidic aquatic environments and lignite mining-associated lakes (Nixdorf et al 2001). …”

Section: Biotic Vs Abiotic Fe(ii) Oxidation-oxicmentioning

confidence: 99%

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Pelagic boundary conditions affect the biological formation of iron‐rich particles (iron snow) and their microbial communities

Reiche

Ciobotă

et al. 2011

Limnology & Oceanography

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“…The limitation of inorganic carbon responsible for this (Nixdorf et al 2003;Tittel and Kamjunke 2004) can only be overcome through neutralization.…”

Section: Controlled Eutrophicationmentioning

confidence: 99%

Microbial Alkalinity Production to Prevent Reacidification of Neutralized Mining Lakes

2006

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Microbial alkalinity production was evaluated as a method to prevent reacidification of neutralized mining lakes by acidic ground and seepage water. We used 60 L mesocosms to represent the sediment and water column of a shallow acidic mine lake. To enhance alkalinity production, acidic and neutralized lake waters were treated with either phosphorus (controlled eutrophication) or organic matter (controlled saprobization). Controlled eutrophication could not produce enough autochthonous biomass as substrate for microbial alkalinity production to change the acidity of the water. Chemical pre-neutralization of the acidic water caused the inorganic carbon concentration to increase, but at the same time, hindered algae growth by reducing the availability of phosphate by sorption to the freshly precipitated iron hydroxide. This effect was so strong that even high phosphorus additions could not increase the algae biomass production. In contrast to controlled eutrophication, controlled saprobization produced significant alkalinity. Despite inhibition of the most important alkalinity producing process, namely microbial sulfate reduction, by low pH values, the microbial alkalinity production rate was not affected by pre-neutralization of the water column. Other alkalinity producing processes raised the pH in the reactive zone until sulfate reduction was no longer inhibited.

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“…Maximum photosynthesis values (P max ) were also low in comparison with other environments, in which rates higher than 200 mmol O 2 mg Chla -1 h -1 are usually reached (Harting et al, 1998;Ritchie, 2008). In acidic mining lakes, planktonic primary productivity is usually low probably due to the low phytoplankton biomass (Nixdorf et al, 2003). In our case, this cannot be the reason, since phototrophic biofilms are the principal contributors of biomass www.intechopen.com in Río Tinto, representing over 65% of the total biomass (Lopez-Archilla et al, 2001).…”

Section: Acidic Environments the Río Tinto (Sw Spain) Casementioning

confidence: 92%

Photosynthesis in Extreme Environments

Aguilera¹,

Souza-Egipsy²,

Amils³

2012

Artificial Photosynthesis

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Comparison of bacterial and phytoplankton productivity in extremely acidic mining lakes and eutrophic hard water lakes

Cited by 46 publications

References 17 publications

Pelagic boundary conditions affect the biological formation of iron‐rich particles (iron snow) and their microbial communities

Pelagic boundary conditions affect the biological formation of iron‐rich particles (iron snow) and their microbial communities

Microbial Alkalinity Production to Prevent Reacidification of Neutralized Mining Lakes

Photosynthesis in Extreme Environments

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