Soil properties affecting toxicity of zinc to soil microbial properties in laboratory‐spiked and field‐contaminated soils

Smolders, Erik; Buekers, Jurgen; Oliver, Ian W.; McLaughlin, Mike J.

doi:10.1897/04-27

Cited by 166 publications

(123 citation statements)

References 29 publications

Supporting

Mentioning

103

Contrasting

Order By: Relevance

“…With less than three soil variables, a best predicting equation (R 2 =0.69) was obtained for Ni EC50 based on solution Ni for leached soils. The predicting ability of the linear models in this study was generally at the same level as those developed for metals in other studies based on microbial assays (Broos et al 2007;Oorts et al 2006;Smolders et al 2004), however, was obviously less powerful than those based on plant assays (Rooney et al 2007). A linear model based on barley root elongation assay using the same soils as in present study was able to predict the EC50 within a twofold range of the measured values.…”

Section: Variation and Prediction Of Ni Ec50supporting

confidence: 64%

“…The un-leached and leached soils were used to establish a standard SIN assay (Oorts et al 2006;Smolders et al 2001Smolders et al , 2004. For pre-incubation, three replicates of 7 g amended soil for each Ni treatment were incubated under dark aerobic conditions at 25±2°C in a 50-ml centrifuge tube maintained at 50 ± 5% of MWHC by addition of deionized water.…”

Section: Substrate-induced Nitrification Assaymentioning

confidence: 99%

“…To this end, 17 soils were collected throughout China, and the widely used nitrification assay (Broos et al 2005;Oorts et al 2006;Smolders et al 2001Smolders et al , 2004 was used for screening Ni toxicity in both un-leached and leached soils. In addition, soil solutions of each Ni treatment were analyzed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Huang

et al. 2009

J Soils Sediments

View full text Add to dashboard Cite

Purpose Deriving toxicity thresholds through bioassays has become the scientific basis for the risk assessment of metal contamination in soils, but few studies have been reported for Ni toxicity in Chinese soils. In addition, although leaching has been recommended to increase the ecological relevance of the output of soil toxicity bioassays, its impacts on Ni threshold and soil solutions in soils remained to be shown. Therefore, in this study, 17 soils were collected throughout China and were assessed for Ni toxicity using substrate-induced nitrification (SIN) assay for both un-leached and leached treatments. Meanwhile, soil solutions of all Ni treatments were extracted and analyzed. This study provides information for the development of a terrestrial biotic ligand model (TBLM) for Ni in Chinese soils.Materials and methods Soils were artificially amended with NiCl 2 solution to generate nominal Ni contamination levels, and aliquot of each Ni treatment was leached with artificial rain to prepare leached soil samples. All the 17 unleached and the 17 leached soils were subjected to the standard SIN protocol. A total of 816 microcosm tubes were established. Soil solution was extracted, and the solution physiochemical properties were analyzed for each Ni treatments. Both the total-Ni-based and the solution-Nibased median effective concentrations (EC50) in unleached soils and leached soils were calculated from dose-response curves. Free-Ni 2+ -based EC50 was also calculated based on solution chemical properties. Leaching effect was assessed based on these results. Results and discussion Ni EC50 varied largely among soils for both the total-Ni-based and the solution-Ni-based EC50 in un-leached soils. In un-leached soils, the total-Ni-based EC50 values ranged from 52.8 mg kg −1 (Hulunber soil) to 2,385.4 mg kg −1 (Wulumuqi soil), and the solution-Nibased EC50 ranged from 0.70 mg L −1 (Jiaxing soil) to 293.35 mg L −1 (Wulumuqi soil). Stepwise multiple regressions showed that soil pH and total Ca were the best predictors for the total-Ni-based EC50. Protective effects of Ca 2+ and Mg 2+ but not H + against Ni toxicity in soil solution were found. Leaching impacted Ni EC50 differently among soils, with leaching factor ranging from 0.2 (Haikou soil) to 19.7 (Hulunber soil) for the total-Ni-based EC50 and from 0.1 (Dezhou soil) to 35.7 (Jiaxing soil) for the solution-Ni-based EC50. In addition, predictability of Ni EC50 was higher in leached soils. The variations in Ni EC50 were in agreement with the findings in previous studies. Soil pH and Ca may play important roles in the partition of Ni in Chinese soils and thus impact the Ni toxicity. Protective effects of Ca 2+ and Mg 2+ in soil solutions against Ni toxicity may exist, but the role of H +

show abstract

Section: Variation and Prediction Of Ni Ec50supporting

confidence: 64%

Section: Substrate-induced Nitrification Assaymentioning

confidence: 99%

See 1 more Smart Citation

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Huang

et al. 2009

J Soils Sediments

View full text Add to dashboard Cite

show abstract

“…11 illustrates this for a sandy loam soil (Woburn; pH(CaCl 2 ) = 6.4, 4.4% OC), that was amended with ZnCl 2 to varying concentrations. [89] The DGT-measured concentrations increased with increasing Zn addition, whereas the soil solution concentrations at the lowest Zn doses were nearly equal to that in the unamended soil and were much larger than the DGT-measured concentration, which suggested the presence of colloidal Zn or inert Zn complexes in the soil solution (Fig. 11a).…”

mentioning

confidence: 94%

Predicting availability of mineral elements to plants with the DGT technique: a review of experimental data and interpretation by modelling

et al. 2009

Self Cite

View full text Add to dashboard Cite

Environmental context. Total concentrations of mineral elements in soil bear little relation to their availability for plants. The DGT (diffusive gradients in thin-films) technique has been found to be a good predictor of trace metal uptake and P deficiency, though not consistently in all studies for all elements. This review examines the fundamental basis for the relation between DGT fluxes and plant uptake and assesses under which conditions this relation may break down.Abstract. In the DGT technique, elements are accumulated on a binding gel after their diffusive transport through a hydrogel. In this paper, we explore in more detail why -and under which conditions -DGT correlates with plant uptake. The theoretical considerations are illustrated with experimental results for metal uptake and toxicity, and for phosphorus deficiency. Strong correlations between DGT and plant uptake are predicted if the diffusive transport of the element from soil to the plant roots is rate-limiting for its uptake. If uptake is not limited by diffusive transport, DGT-fluxes and plant uptake may still correlate provided that plant uptake is not saturated. However, competitive cations may affect the plant uptake under these conditions, whereas they have no effect on the DGT flux. Moreover, labile complexes are not expected to contribute to the plant uptake if diffusion is not limiting, but they are measured with DGT. Therefore, if plant uptake is not limited by diffusion, interpretation of the observed correlation in terms of the labile species measured by DGT is inappropriate.

show abstract

“…Soil nitrification is highly sensitive to elevated zinc (Zn; Smolders et al, 2004), although ecotoxicological effects can be transient (Rusk et al, 2004). It has been hypothesized that recovery of nitrification following Zn exposure is due to the development of Zn-tolerant AOB populations (Mertens et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Bacteria, not archaea, restore nitrification in a zinc-contaminated soil

et al. 2009

Self Cite

View full text Add to dashboard Cite

Biological ammonia oxidation had long been thought to be mediated solely by discrete clades of b-and c-proteobacteria (ammonia-oxidizing bacteria; AOB). However, ammonia-oxidizing Crenarchaeota (ammonia-oxidizing archaea; AOA) have recently been identified and proposed to be the dominant agents of ammonia oxidation in soils. Nevertheless, the dynamics of AOB versus AOA, and their relative contribution to soil ammonia oxidation and ecosystem functioning on stress and environmental perturbation, remain unknown. Using a 3-year longitudinal field study and the amoA gene as a molecular marker, we demonstrate that AOB, but not AOA, mediate recovery of nitrification after zinc (Zn) contamination. Pristine soils showed approximately equal amoA gene copy numbers and transcript levels for AOB and AOA. At an intermediate Zn dose (33.7 mmol Zn per kg), ammonia oxidation was completely inhibited, and the numbers of AOB and AOA amoA gene copies and gene transcripts were reduced. After 2 years, ammonia oxidation in the field soils was fully restored to preexposure levels, and this restoration of function was concomitant with an increase of AOB amoA gene copy and gene transcript numbers. Analysis of the restored community revealed domination by a phylogenetically distinct Zn-tolerant Nitrosospira sp. community. In contrast, the numbers of AOA amoA gene copies and gene transcripts remained 3-and 10 4 -fold lower than recovered AOB values, respectively. Thus, although recent findings have emphasized a dominant role of archaea in soil-borne ammonia oxidation, we demonstrate that a phylogenetic shift within the AOB community drives recovery of nitrification from Zn contamination in this soil.

show abstract

Soil properties affecting toxicity of zinc to soil microbial properties in laboratory‐spiked and field‐contaminated soils

Cited by 166 publications

References 29 publications

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Predicting availability of mineral elements to plants with the DGT technique: a review of experimental data and interpretation by modelling

Bacteria, not archaea, restore nitrification in a zinc-contaminated soil

Contact Info

Product

Resources

About