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Record W2079055428 · doi:10.1080/10934520903467832

Phytoremediation and microbial community structure of soil from a metal-contaminated military shooting range: Comparisons of field and pot experiments

2010· article· en· W2079055428 on OpenAlexfundno aff
Sung-Hyun Kim, Kyunghwa Baek, In-Sook Lee

Bibliographic record

VenueJournal of Environmental Science and Health Part A · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
FundersNational Research Council CanadaNational Institute for Environmental StudiesDeutscher Akademischer Austauschdienst
KeywordsRhizospherePhytoremediationSoil waterSoil contaminationEnvironmental scienceDiversity indexAgronomyTemperature gradient gel electrophoresisBiologySoil scienceEcologySpecies richness

Abstract

fetched live from OpenAlex

In this study, the heavy metal uptake ability of two plant species, barnyard grass and Indian mallow, and the effects of associated micro-communities on the rhizosphere of these plants were investigated in metal-contaminated sites. In addition, the effectiveness of phytoremediation using these plants was compared under field and pot conditions. To accomplish this analysis, phytoremediation of general military shooting range soil was conducted for 8 weeks under the two conditions. The results showed that metal uptake by plants and reductions in soil metal concentration were lower in the field than in pots. However, soil dehydrogenase activities and microbial diversity increased in response to phytoremediation in the field. Specifically, the soil dehydrogenase activities of barnyard grass in field soils were 3-fold higher than those of potted soils. Moreover, the denaturing gradient gel electrophoresis patterns revealed that groups formed according to plant species. Finally, the Shannon-Weaver diversity index and Simpson dominance index were higher in the rhizosphere of barnyard grass than in the rhizosphere of Indian mallow under field conditions. These results indicate that it is difficult to apply the results obtained from pot experiments to field conditions. These findings can be used to inform future studies conducted to determine if field sites are suitable for phytoremediation based on the results of pot studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.295
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2010
Admission routes1
Has abstractyes

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