Decomposition of alder leaves in two heavy metal-polluted streams in central Germany
Bibliographic record
Abstract
AME Aquatic Microbial Ecology Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials AME 26:73-80 (2001) - doi:10.3354/ame026073 Decomposition of alder leaves in two heavy metal-polluted streams in central Germany K. R. Sridhar*, Gudrun Krauss, Felix Bärlocher**, N. S. Raviraja*, Rainer Wennrich***, Renate Baumbach****, Gerd-Joachim Krauss**** Microbiology of Subterrestrial Aquatic Systems Group, UFZ Centre for Environmental Research Leipzig-Halle, 06120 Halle, Germany Present addresses: *Department of Biosciences, Mangalore University, Mangalgangotri, 574 199 Mangalore, Karnataka, India **Corresponding author. Department of Biology, Mount Allison University, 63B York Street, Sackville, New Brunswick E4L 1G7, Canada. E-mail: fbaerlocher@mta.ca ***Department of Analytical Chemistry, UFZ Centre for Environmental Research Leipzig/Halle, 04318 Leipzig, Germany ****Department of Biochemistry/Biotechnology, Division of Ecology and Plant Biochemistry, Martin-Luther-Universität, 06099 Halle, Germany ABSTRACT: In the former copper shale mining district of Mansfeld, central Germany, weathering of slag heaps and dumps resulted in groundwater, lakes and streams with extremely high heavy metal and metalloid concentrations (Zn up to 2.6 g l-1; Cu, Pb, Cs, Cd, As up to 13 mg l-1). We followed decomposition of Alnus glutinosa leaves in 2 streams, one with a high (H4) and one with a moderate (H9) load of these metals. In H9, mass loss closely followed an exponential decay curve (k = 0.055 d-1); in H4, leaf mass remained constant after a very rapid initial decay (k = 0.12) during the first 4 wk. Fungal biomass, estimated by ergosterol measurements, reached values of up to 1.1% (H9) or 0.36% (H4) of total detrital mass, corresponding to 6 and 2%, respectively, of maxima reported from nonpolluted streams. Conidium production by aquatic hyphomycetes was reduced to 10% (H9) and 0.01% (H4) of highest literature values. After 4 wk of stream exposure, leaves had greatly increased levels of As, Cu, Fe, Mn (both streams), Pb and Zn (H4). Gammarus fossarum preferred leaves that had been conditioned in the stream for 2 (H9) or 4 (H4) wk over unconditioned leaves. KEY WORDS: Aquatic hyphomycetes · Leaf conditioning · Pollution · Fungal biomass · Fungal reproduction · Conidia Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in AME Vol. 26, No. 1. Online publication date: October 26, 2001 Print ISSN: 0948-3055; Online ISSN: 1616-1564 Copyright © 2001 Inter-Research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".