Distribution of nickel (Ni) in peatland situated alongside mineral soil derived from ultrabasic rocks

Pulunggono, Heru Bagus; Zulfajrin, Moh; Irsan, Fuadi

doi:10.20961/stjssa.v18i1.45417

Cited by 4 publications

(3 citation statements)

References 63 publications

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“…The same can be said for Ni where correlation between soil pH and Ni was significantly negative (r=-1.00; p<0.01), but otherwise significantly positive (r=1.00; p<0.01) for electrical conductivity, soil moisture, and organic matter. Distribution of Ni in adjacent soil that is contaminated by Ni derived from ultrabasic rock is influenced by the soil physico-chemical properties [11].…”

Section: Soil Physico-chemical Properties Of Ultrabasic and Ultisol S...mentioning

confidence: 99%

“…Soil that is formed from parent materials like ultrabasic rock naturally consists of a high concentration of trace elements like Co, Cr, Ni and Fe. Soil erosion had also contributed an increase of these trace elements in other nonultrabasic soil areas [11]. As human population and agricultural products demands increase, the locals had expanded their agricultural activities on ultrabasic soil which is adjacent to ultisol soil where cultivation is more frequently used.…”

Section: Introductionmentioning

confidence: 99%

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Trace Elements Uptake in Brassica rapa chinensis Cultivated in Ultrabasic (Oxisol) and Ultisol Soils, North Borneo

Hamdan

Nizam

Seow

et al. 2022

J. Phys.: Conf. Ser.

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The study aims to investigate the soil physico-chemical properties and trace elements uptake of Brassica rapa chinensis plants cultivated in ultrabasic (oxisol) and ultisoil soil of Ranau, North Borneo, Malaysia by inductively coupled plasma-optical emission spectrometry (ICP-OES). This study can contribute to propose a more sustainable soil management practice. All selected trace elements bioavailability in ultrabasic soil was significantly higher than ultisols except for Ca and Cd. There was no significant amount of difference in soil pH (slightly acidic) and electrical conductivity (slightly saline) between these soil types. However, a significant amount of difference between the percentage of soil moisture and organic matter between ultrabasic and ultisol soils was observed. These might contribute to the uptake of elements into the studied plant. The B. rapa chinensis is a hyperaccumulator of Cd and Pb for both type of soils. The B. rapa chinensis is an accumulator of As when grown in ultrabasic soil, while an accumulator of Co when grown in ultisol soil. Although Pb was not detected in ultisol soil as compared to ultrabasic soil, the concentration of Pb in plants cultivated in ultisol soil had exceeded the maximum permissible limit of Malaysia Food Regulation 1985. Soil amendment in frequently use agriculture sites needs to be conducted such as the addition of organic matter to reduce transfers of trace elements from soil to plants that can pose toxicity risk.

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Section: Soil Physico-chemical Properties Of Ultrabasic and Ultisol S...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trace Elements Uptake in Brassica rapa chinensis Cultivated in Ultrabasic (Oxisol) and Ultisol Soils, North Borneo

Hamdan

Nizam

Seow

et al. 2022

J. Phys.: Conf. Ser.

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“…A single block (around 30 hectares) is usually established as the smallest sampling unit for OPP management. Nevertheless, previous research highlighted the spatiotemporal variability of peat nutrients at sub-block scales, along with the gradients of the distance from the oil palm tree, canal and mineral soil border, peat thickness, sampling depth, oil palm age, season, and land use (Pulunggono et al 2016;Pulunggono 2019;Pulunggono 2020;Pulunggono 2021;Pulunggono 2022a;Pulunggono 2022b). Soil samples must be collected enormously to satisfy the sampling design for this detailed approach, especially for large-scale OPP.…”

Section: Introductionmentioning

confidence: 99%

Prediction and Interpretation of Total N and Its Key Drivers in Cultivated Tropical Peat using Machine Learning and Game Theory

Pulunggono,

Madani,

Nurazizah

et al. 2023

CELEBES Agricultural

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Currently, there is a growing interest among research communities in the development of statistical learning-based pedotransfer functions/PtFs to predict mineral soil nutrients; however, similar studies in peatlands are relatively rare. Moreover, extracting meaningful information from these ‘black-box’ models is crucial, particularly concerning their algorithmic complexity and the non-linear nature of the soil covariate interrelationships. This study employed the Pulunggono (2022a) dataset and the bootstrapping method, to (1) develop and evaluate seven PtF models, including both general linear models (GLM) and machine learning (ML) regressors for estimating total nitrogen (N) in tropical peat that has been drained and cultivated for oil palm (OP) in Riau, Indonesia and (2) explaining model functioning by incorporating Shapley Additive Explanation (SHAP), a tool derived from coalitional game theory. This study demonstrated the superior predictive performance of ML-based PtFs in estimating total N compared to GLM algorithms. The top-performing algorithms for PtF models were identified as GBM, XGB, and Cubist. The SHAP method revealed that sampling depth and organic C were consistently identified as the most important covariates across all models, irrespective of their algorithmic capabilities. Additionally, ML algorithms identified the total Fe, pH, and bulk density (BD) as significant covariates. Local explanations based on Shapley values indicated that the behavior of PtF-based algorithms diverged from their global explanations. This study emphasized the critical role of ML algorithms and game theory in accurately predicting total N in peatlands subjected to drainage and cultivation for OP and explaining their model behavior in relation to soil biogeochemical processes.

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Global Patterns of Metal and Other Element Enrichment in Bog and Fen Peatlands

Osborne,

Gilbert-Parkes,

Spiers

et al. 2024

Arch Environ Contam Toxicol

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Peatlands are found on all continents, covering 3% of the global land area. However, the spatial extent and causes of metal enrichment in peatlands is understudied and no attempt has been made to evaluate global patterns of metal enrichment in bog and fen peatlands, despite that certain metals and rare earth elements (REE) arise from anthropogenic sources. We analyzed 368 peat cores sampled in 16 countries across ve continents and measured metal and other element concentrations at three depths down to 70 cm as well as estimated cumulative atmospheric S deposition (1850-2009) for each site. Sites were assigned to one of three distinct broadly recognized peatland categories (bog, poor fen, and intermediateto-moderately rich fen) that varied primarily along a pH gradient. Metal concentrations differed among peatland types, with intermediate-to-moderately rich fens demonstrating the highest concentrations of most metals. Median enrichment factors (EFs; a metric comparing natural and anthropogenic metal deposition) for individual metals were similar among bogs and fens (all groups), with metals likely to be in uenced by anthropogenic sources (As, Cd, Co, Cu, Hg, Pb, and Sb) demonstrating median enrichment factors (EFs) > 1.5. Additionally, mean EFs were substantially higher than median values, and the positive correlation (< 0.40) with estimated cumulative atmospheric S deposition, con rmed some level of anthropogenic in uence of all pollutant metals except for Hg that was unrelated to S deposition. Contrary to expectations, high EFs were not restricted to pollutant metals, with Mn, K and Rb all exhibiting elevated median EFs that were in the same range as pollutant metals likely due to peatland biogeochemical processes leading to enrichment of these nutrients in surface soil horizons. The global patterns of metal enrichment in bogs and fens identi ed in this study underscore the importance of these peatlands as environmental archives of metal deposition, but also illustrates that biogeochemical processes can enrich metals in surface peat and EFs alone do not necessarily indicate atmospheric contamination.

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Distribution of nickel (Ni) in peatland situated alongside mineral soil derived from ultrabasic rocks

Cited by 4 publications

References 63 publications

Trace Elements Uptake in Brassica rapa chinensis Cultivated in Ultrabasic (Oxisol) and Ultisol Soils, North Borneo

Trace Elements Uptake in Brassica rapa chinensis Cultivated in Ultrabasic (Oxisol) and Ultisol Soils, North Borneo

Prediction and Interpretation of Total N and Its Key Drivers in Cultivated Tropical Peat using Machine Learning and Game Theory

Global Patterns of Metal and Other Element Enrichment in Bog and Fen Peatlands

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