Application of stress index in evaluating toxicological response of soil microbial community to contaminants in soils

Wang, Meie; Faber, J.H.; Chen, Weiping

doi:10.1016/j.ecolind.2016.12.002

Cited by 16 publications

(5 citation statements)

References 24 publications

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“…The I-geo analyzes pollution by comparing the measured trace element levels to background levels, which were originally intended to evaluate bottom sediments (Wang M. et al, 2017). Using the following equation, the geographic accumulation index (I-geo) was utilized to evaluate the trace element pollution (Hossain Bhuiyan et al, 2021):…”

Section: Geo-accumulation Index (I-geo)mentioning

confidence: 99%

Evaluation of Soil Pollution Levels in Al-Qadisiyah Governorate, Iraq Using Contamination Index and GIS

Al-Khuzaie¹,

Maulud²

2022

J. Ecol. Eng.

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The precise determination of trace element concentrations in the soil of the Al-Qadisiyah Governorate is part of the Iraqi sedimentary plain is required to eliminate high levels of harmful elements in polluted soils. The soil samples were collected from 28 representative profiles in Al-Shamiyah city. The soil profiles were defined using virtual characterization. In this study, I-geo was used to analyze soil pollution. The goals and destinations of the I-geo readings Contamination of Cd, Ni, Pb, and Zn in various soil strata. I-geo (Cd) generally range from 0.58 to 4.71, I-geo (Ni) range from 0.09 to 4.07, I-geo (Pb) ranged range from 0.07 to 2.79, and I-geo (Zn) ranges from zero to 2.79, depicting the local differences in I-geo for pollutants in the research area. Suggesting that the research area had been heavily polluted from Cd in the varied layers of the soils. On the maps pertaining to Zn and Pb, the majority of the research area was primarily covered in the orange and blue hues, suggesting that a significant portion of the research area was likely to be severely polluted from Cd and Ni. Moreover, the land cover layouts of Ni in layers of the soils revealed concentrations rising towards to the western sections, which could be attributed to proximity to a major drain. The results display that its I-geo value of four trace metals generally range from non-pollute to significantly heavily polluted. The I-geo data show significant differences in levels of the Ni, Cd, Zn, and Pb in different soils strata. Including these findings, the soil in Al-Shamiya, Al-Qadisiyah Governorate contains high levels of Cd, Ni, Pb, and Zn. Industries of fossil fuel combustion, as well as other man-made wastes include agricultural nutrients, soil conditioners, and sludge, particularly, ammonium phosphate pollution in soils. The pollutant load index (PLI) reveals a baseline level of contamination in 28 locations, as well as a decline in soil quality in four others. Finally, assessing the danger of contamination for trace metals utilizing the I-geo and PLI by using the GIS method and multimodal models is a helpful and relevant strategy.

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Section: Geo-accumulation Index (I-geo)mentioning

confidence: 99%

Evaluation of Soil Pollution Levels in Al-Qadisiyah Governorate, Iraq Using Contamination Index and GIS

Al-Khuzaie¹,

Maulud²

2022

J. Ecol. Eng.

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“…Consequently, the stress index (SI) is used to quantify the sensitivity of soil microbial communities to stress such as heavy metal contamination (Wang et al, 2017b). Dagnino et al (2008) proposed that the SI can be evaluated by comparing the relative stress response (RSR) with the critical threshold values.…”

Section: Microbiological Stress Indexmentioning

confidence: 99%

“…Dagnino et al (2008) proposed that the SI can be evaluated by comparing the relative stress response (RSR) with the critical threshold values. Specifically, the integrated functional sensitivity (MSI), resistance (MRS) and resilience (MRL) of soil microbial communities were also proposed and formulized, which can be seen in Wang et al (2017b) and Jiang et al (Lessard et al, 2014).…”

Section: Microbiological Stress Indexmentioning

confidence: 99%

Evaluation methods of heavy metal pollution in soils based on enzyme activities: A review

Cui

Wang

et al. 2021

Soil Ecol. Lett.

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Soil enzyme activities have been suggested as suitable indicators for the evaluation of metal contamination because they are susceptible to microbial changes caused by heavy metal stress and are strictly related to soil nutrient cycles. However, there is a growing lack of recognition and summary of the historic advancements that use soil enzymology as the proposal of evaluation methods. Here, we review the most common methods of heavy metal pollution evaluation based on enzyme activities, which include single enzyme index, combined enzyme index, enzyme-based functional diversity index, microbiological stress index, and ecoenzymatic stoichiometry models. This review critically examines the advantages and disadvantages of these methods based on their execution complexity, performance, and ecological implications and gets a glimpse of avenues to come to improved future evaluation systems. Indices based on a single enzyme are variable and have no consistent response to soil heavy metals, and the following three composite indices are characterized by the loss of many critical microbial processes, which thus not conducive to reflect the effects of heavy metals on soil ecosystems. Considering the dexterity of ecoenzymatic stoichiometry methods in reflecting changes in soil functions under heavy metal stress, we propose that microbial metabolic limitations quantified by ecoenzymatic stoichiometry models could be promising indicators for enhancing the reality and acceptance of results and further improving the potential for actual utility in environmental decision-making.

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“…PLFA profiles have differentiated microbial communities between crop rotations, tillage, residue management, cover crops, buffer strips, fertilizer applications, soils, depths, seasons, landscapes, and system maturity (Alagele et al., 2020; Arcand et al., 2016; Bossio et al., 1998; Fierer et al., 2007; Hamel et al., 2006; Mbuthia et al., 2015; Nivelle et al., 2016; Rankoth et al., 2019). The community ratios such as fungi to bacteria and Gram‐positive/Gram‐negative bacteria (GP/GN) have been widely used to trace microbial communities’ stress condition, mainly referred to as lack of sufficient moisture or nutrients (Agnihotri et al., 2023; Cheng et al., 2024). However, PLFA profiling for microbial communities under Kernza and alfalfa is limited.…”

Section: Introductionmentioning

confidence: 99%

Short‐term effects of Kernza and alfalfa on microbial communities

Udawatta,

Gurmessa,

Gonzalez

et al. 2024

Agrosystems Geosci & Env

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Continuous land disturbance could negatively impact microbial community, but perennial crops can potentially reverse this negativity. The objective of this study was to evaluate the effects of Kernza (Thinopyrum intermedium) and alfalfa (Medicago sativa L.) on soil microbial structure and stress condition using the phospholipid fatty acid profiling. The study was conducted at the Ross Jones Research Farm, University of Missouri and consisted of four treatments: Kernza fertilized, Kernza unfertilized, Kernza and alfalfa intercrop, and alfalfa monocrop with four replications. Treatments were established in September 2021 on 18.3 m × 18.3 m plots. Soils from 0‐ to 5‐cm and 5‐ to 15‐cm depths were sampled in September 2021 (before treatments were placed) and 2022 and analyzed for microbial communities. All microbial communities increased after 1 year with the perennial crops. Since differences were not significant among treatments in 2022, this may lead to positive impacts of perennial crops on microbial communities, irrespective of the crop species and management. Moreover, community structure modifications were also observed with the perennial crops, irrespective of the species and management, as evidenced with changes in bacterial community indices in 2022. While fungi/bacteria ratio increased, Gram‐positive/Gram‐negative bacteria ratio decreased in 2022, suggesting a reduction in microbial stress, which can be attributed to ecological functions of the perennial crops. The study showed improvements in soil microbial biomass and modifications in microbial community structure after 1 year of Kernza and alfalfa. As the system matures, relative benefits of management (fertilization and intercropping) and plant species may be realized.

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Application of stress index in evaluating toxicological response of soil microbial community to contaminants in soils

Cited by 16 publications

References 24 publications

Evaluation of Soil Pollution Levels in Al-Qadisiyah Governorate, Iraq Using Contamination Index and GIS

Evaluation of Soil Pollution Levels in Al-Qadisiyah Governorate, Iraq Using Contamination Index and GIS

Evaluation methods of heavy metal pollution in soils based on enzyme activities: A review

Short‐term effects of Kernza and alfalfa on microbial communities

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