Articles | Volume 8, issue 2
https://doi.org/10.5194/soil-8-467-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-8-467-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
18 Jul 2022
Original research article |
| 18 Jul 2022
| 18 Jul 2022
Miniaturised visible and near-infrared spectrometers for assessing soil health indicators in mine site rehabilitation
Zefang Shen
Soil and Landscape Science, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Haylee D'Agui
ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Lewis Walden
Soil and Landscape Science, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Mingxi Zhang
Soil and Landscape Science, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Tsoek Man Yiu
Soil and Landscape Science, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Kingsley Dixon
ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Paul Nevill
ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Trace and Environmental DNA Laboratory, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O Box U1987, Perth, WA, 6845, Australia
Adam Cross
ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
EcoHealth Network, 1330 Beacon St, Suite 355a, Brookline, MA 02446, USA
Mohana Matangulu
Soil and Landscape Science, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Yang Hu
Soil and Landscape Science, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Raphael A. Viscarra Rossel
CORRESPONDING AUTHOR
Soil and Landscape Science, School of Molecular and Life Sciences, Faculty of Science and Engineering, Curtin University, G.P.O. Box U1987, Perth, WA 6845, Australia
Related authors
Yuanyuan Yang, Zefang Shen, Andrew Bissett, and Raphael A. Viscarra Rossel
SOIL, 8, 223–235, https://doi.org/10.5194/soil-8-223-2022, https://doi.org/10.5194/soil-8-223-2022, 2022
Short summary
Short summary
We present a new method to estimate the relative abundance of the dominant phyla and diversity of fungi in Australian soil. It uses state-of-the-art machine learning with publicly available data on soil and environmental proxies for edaphic, climatic, biotic and topographic factors, and visible–near infrared wavelengths. The estimates could serve to supplement the more expensive molecular approaches towards a better understanding of soil fungal abundance and diversity in agronomy and ecology.
Yang Hu, Adam Cross, Zefang Shen, Johan Bouma, and Raphael A. Viscarra Rossel
EGUsphere, https://doi.org/10.5194/egusphere-2024-3939, https://doi.org/10.5194/egusphere-2024-3939, 2025
Short summary
Short summary
We reviewed the literature on soil health definition, indicators and assessment frameworks, highlighting sensing technologies' significant potential to improve current time-consuming and costly assessment methods. We proposed a soil health assessment framework from an ecological perspective free from human bias, that leverages proximal sensing, remote sensing, machine learning, and sensor data fusion to enable objective, rapid, cost-effective, scalable, and integrative assessments.
Thorsten Behrens, Karsten Schmidt, Felix Stumpf, Simon Tutsch, Marie Hertzog, Urs Grob, Armin Keller, and Raphael Viscarra Rossel
EGUsphere, https://doi.org/10.5194/egusphere-2024-2810, https://doi.org/10.5194/egusphere-2024-2810, 2024
Preprint archived
Short summary
Short summary
We integrate various methods to create soil property maps for soil surveyors, which they can utilize as a reference before beginning their fieldwork. A new sampling design based on a geographical stratification is proposed focussing on local feature space variability. It allows for a systematic analysis of predictive accuracy for varying densities. The spectral and spatial models yielded high accuracies. Our study highlights the value of integrating pedometric technologies in soil surveys.
Lingfei Wang, Gab Abramowitz, Ying-Ping Wang, Andy Pitman, and Raphael A. Viscarra Rossel
SOIL, 10, 619–636, https://doi.org/10.5194/soil-10-619-2024, https://doi.org/10.5194/soil-10-619-2024, 2024
Short summary
Short summary
Effective management of soil organic carbon (SOC) requires accurate knowledge of its distribution and factors influencing its dynamics. We identify the importance of variables in spatial SOC variation and estimate SOC stocks in Australia using various models. We find there are significant disparities in SOC estimates when different models are used, highlighting the need for a critical re-evaluation of land management strategies that rely on the SOC distribution derived from a single approach.
Lewis Walden, Farid Sepanta, and Raphael Viscarra Rossel
EGUsphere, https://doi.org/10.5194/egusphere-2023-2464, https://doi.org/10.5194/egusphere-2023-2464, 2023
Preprint archived
Short summary
Short summary
We characterised the chemical and mineral composition of soil organic carbon fractions with mid-infrared spectroscopy. We identified unique and shared features of the spectra of carbon fractions, and the interactions between their organic and mineral components. These interactions are key to the persistence of C in soils, and we propose that mid-infrared spectroscopy could help to infer stability of soil C.
Yuanyuan Yang, Zefang Shen, Andrew Bissett, and Raphael A. Viscarra Rossel
SOIL, 8, 223–235, https://doi.org/10.5194/soil-8-223-2022, https://doi.org/10.5194/soil-8-223-2022, 2022
Short summary
Short summary
We present a new method to estimate the relative abundance of the dominant phyla and diversity of fungi in Australian soil. It uses state-of-the-art machine learning with publicly available data on soil and environmental proxies for edaphic, climatic, biotic and topographic factors, and visible–near infrared wavelengths. The estimates could serve to supplement the more expensive molecular approaches towards a better understanding of soil fungal abundance and diversity in agronomy and ecology.
Juhwan Lee, Raphael A. Viscarra Rossel, Mingxi Zhang, Zhongkui Luo, and Ying-Ping Wang
Biogeosciences, 18, 5185–5202, https://doi.org/10.5194/bg-18-5185-2021, https://doi.org/10.5194/bg-18-5185-2021, 2021
Short summary
Short summary
We performed Roth C simulations across Australia and assessed the response of soil carbon to changing inputs and future climate change using a consistent modelling framework. Site-specific initialisation of the C pools with measurements of the C fractions is essential for accurate simulations of soil organic C stocks and composition at a large scale. With further warming, Australian soils will become more vulnerable to C loss: natural environments > native grazing > cropping > modified grazing.
Philipp Baumann, Anatol Helfenstein, Andreas Gubler, Armin Keller, Reto Giulio Meuli, Daniel Wächter, Juhwan Lee, Raphael Viscarra Rossel, and Johan Six
SOIL, 7, 525–546, https://doi.org/10.5194/soil-7-525-2021, https://doi.org/10.5194/soil-7-525-2021, 2021
Short summary
Short summary
We developed the Swiss mid-infrared spectral library and a statistical model collection across 4374 soil samples with reference measurements of 16 properties. Our library incorporates soil from 1094 grid locations and 71 long-term monitoring sites. This work confirms once again that nationwide spectral libraries with diverse soils can reliably feed information to a fast chemical diagnosis. Our data-driven reduction of the library has the potential to accurately monitor carbon at the plot scale.
Anatol Helfenstein, Philipp Baumann, Raphael Viscarra Rossel, Andreas Gubler, Stefan Oechslin, and Johan Six
SOIL, 7, 193–215, https://doi.org/10.5194/soil-7-193-2021, https://doi.org/10.5194/soil-7-193-2021, 2021
Short summary
Short summary
In this study, we show that a soil spectral library (SSL) can be used to predict soil carbon at new and very different locations. The importance of this finding is that it requires less time-consuming lab work than calibrating a new model for every local application, while still remaining similar to or more accurate than local models. Furthermore, we show that this method even works for predicting (drained) peat soils, using a SSL with mostly mineral soils containing much less soil carbon.
Zhongkui Luo, Raphael A. Viscarra-Rossel, and Tian Qian
Biogeosciences, 18, 2063–2073, https://doi.org/10.5194/bg-18-2063-2021, https://doi.org/10.5194/bg-18-2063-2021, 2021
Short summary
Short summary
Using the data from 141 584 whole-soil profiles across the globe, we disentangled the relative importance of biotic, climatic and edaphic variables in controlling global SOC stocks. The results suggested that soil properties and climate contributed similarly to the explained global variance of SOC in four sequential soil layers down to 2 m. However, the most important individual controls are consistently soil-related, challenging current climate-driven framework of SOC dynamics.
Andre Carnieletto Dotto, Jose A. M. Demattê, Raphael A. Viscarra Rossel, and Rodnei Rizzo
SOIL, 6, 163–177, https://doi.org/10.5194/soil-6-163-2020, https://doi.org/10.5194/soil-6-163-2020, 2020
Short summary
Short summary
The objective of this study was to develop a soil grouping system based on spectral, climate, and terrain variables with the aim of developing a quantitative way to classify soils. To derive the new system, we applied the above-mentioned variables using cluster analysis and defined eight groups or "soil environment groupings" (SEGs). The SEG system facilitated the identification of groups with similar characteristics using not only soil but also environmental variables for their distinction.
Juhwan Lee, Gina M. Garland, and Raphael A. Viscarra Rossel
SOIL, 4, 213–224, https://doi.org/10.5194/soil-4-213-2018, https://doi.org/10.5194/soil-4-213-2018, 2018
Short summary
Short summary
Soil nitrogen (N) is an essential element for plant growth, but its plant-available forms are subject to loss from the environment by leaching and gaseous emissions. Still, factors controlling soil mineral N concentrations at large spatial scales are not well understood. We determined and discussed primary soil controls over the concentrations of NH4+ and NO3− at the continental scale of Australia while considering specific dominant land use patterns on a regional basis.
Jacqueline R. England and Raphael A. Viscarra Rossel
SOIL, 4, 101–122, https://doi.org/10.5194/soil-4-101-2018, https://doi.org/10.5194/soil-4-101-2018, 2018
Short summary
Short summary
Proximal sensing can be used for soil C accounting, but the methods need to be standardized and procedural guidelines developed to ensure proficient measurement and accurate reporting. This is particularly important if there are financial incentives for landholders to adopt practices to sequester C. We review sensing for C accounting and discuss the requirements for the development of new soil C accounting methods based on sensing, including requirements for reporting, auditing and verification.
Miriam Muñoz-Rojas, Todd E. Erickson, Dylan C. Martini, Kingsley W. Dixon, and David J. Merritt
SOIL, 2, 287–298, https://doi.org/10.5194/soil-2-287-2016, https://doi.org/10.5194/soil-2-287-2016, 2016
V. Haverd, M. R. Raupach, P. R. Briggs, J. G. Canadell, P. Isaac, C. Pickett-Heaps, S. H. Roxburgh, E. van Gorsel, R. A. Viscarra Rossel, and Z. Wang
Biogeosciences, 10, 2011–2040, https://doi.org/10.5194/bg-10-2011-2013, https://doi.org/10.5194/bg-10-2011-2013, 2013
Related subject area
Soil pollution and remediation
The clay mineralogy rather than the clay content determines radiocaesium adsorption in soils on a global scale
Cr(VI) reduction, electricity production, and microbial resistance variation in paddy soil under microbial fuel cell operation
Organic pollutant oxidation on manganese oxides in soils – the role of calcite indicated by geoelectrical and chemical analyses
Portable X-Ray Fluorescence as a Tool for Urban Soil Contamination Analysis: Accuracy, Precision, and Practicality
Long-term legacy of phytoremediation on plant succession and soil microbial communities in petroleum-contaminated sub-Arctic soils
Investigating the synergistic potential of Si and biochar to immobilize Ni in a Ni-contaminated calcareous soil after Zea mays L. cultivation
Estimations of soil metal accumulation or leaching potentials under climate change scenarios: the example of copper on a European scale
Soil contamination in arid environments and assessment of remediation applying surface evaporation capacitor model; a case study from the Judean Desert, Israel
Model-based analysis of erosion-induced microplastic delivery from arable land to the stream network of a mesoscale catchment
Increase in bacterial community induced tolerance to Cr in response to soil properties and Cr level in the soil
Organic and inorganic nitrogen amendments reduce biodegradation of biodegradable plastic mulch films
Research and management challenges following soil and landscape decontamination at the onset of the reopening of the Difficult-to-Return Zone, Fukushima (Japan)
Impact of agricultural management on soil aggregates and associated organic carbon fractions: analysis of long-term experiments in Europe
The application of biochar and oyster shell reduced cadmium uptake by crops and modified soil fertility and enzyme activities in contaminated soil
Reusing Fe water treatment residual as a soil amendment to improve physical function and flood resilience
Are agricultural plastic covers a source of plastic debris in soil? A first screening study
Mapping soil slaking index and assessing the impact of management in a mixed agricultural landscape
Assessing soil salinity dynamics using time-lapse electromagnetic conductivity imaging
Effectiveness of landscape decontamination following the Fukushima nuclear accident: a review
Evaluating the carbon sequestration potential of volcanic soils in southern Iceland after birch afforestation
Citrate and malonate increase microbial activity and alter microbial community composition in uncontaminated and diesel-contaminated soil microcosms
Development of a statistical tool for the estimation of riverbank erosion probability
Sediment loss and its cause in Puerto Rico watersheds
Carbon nanomaterials in clean and contaminated soils: environmental implications and applications
Margot Vanheukelom, Nina Haenen, Talal Almahayni, Lieve Sweeck, Nancy Weyns, May Van Hees, and Erik Smolders
SOIL, 11, 339–362, https://doi.org/10.5194/soil-11-339-2025, https://doi.org/10.5194/soil-11-339-2025, 2025
Short summary
Short summary
Radiocaesium (137Cs) in soil poses long-term risks of entering the food chain after nuclear accidents. This study examined its binding in soils with contrasting properties, questioning the concept that clay content controls the fate of 137Cs. Instead, soil mineralogy, such as illite content, plays a greater role. Soil structure also affects its availability as isolated soil fractions do not fully reflect intact soils. These findings improve predictions of 137Cs bioavailability in diverse soils.
Huan Niu, Can Wang, Xia Luo, Peihan Li, Hang Qiu, Liyue Jiang, Subati Maimaitiaili, Minghui Wu, Fei Xu, and Heng Xu
SOIL, 11, 323–338, https://doi.org/10.5194/soil-11-323-2025, https://doi.org/10.5194/soil-11-323-2025, 2025
Short summary
Short summary
We use the soil microbial fuel cell (SMFC) to eliminate Cr(VI) from paddy soil and for metal tolerance analysis, finding 93.76 % of Cr(VI) elimination, 0.97 V power output, and heavy-metal resistance gene elevation. The enrichment of exoelectrogens, Cr(VI) reducers, and tolerators contributed to SMFC performance. Bio-physical adsorption and electrochemical–microbial reduction simultaneously reduced Cr(VI).
Sonya S. Altzitser, Yael G. Mishael, and Nimrod Schwartz
SOIL, 11, 95–104, https://doi.org/10.5194/soil-11-95-2025, https://doi.org/10.5194/soil-11-95-2025, 2025
Short summary
Short summary
Our study uses a noninvasive geoelectrical method to monitor hydroquinone oxidation in MnO2-rich soil. We combined it with chemical analyses to observe real-time changes in soil pH, calcium, and manganese levels. Our findings reveal that MnO2 oxidation of hydroquinone triggers reactions such as calcite dissolution and amorphous manganese oxide formation. This research advances the understanding of soil–pollutant interactions and highlights the method's potential in tracking soil remediation.
Eriell Jenkins, John Galbraith, and Anna Paltseva
EGUsphere, https://doi.org/10.5194/egusphere-2024-3101, https://doi.org/10.5194/egusphere-2024-3101, 2024
Short summary
Short summary
This review examines the use of portable X-ray fluorescence (PXRF) technology to detect harmful metals in urban soils. PXRF provides a fast, cost-effective method for analyzing contaminated soils, essential for safe urban agriculture. The review highlights PXRF's accuracy and limitations, stressing the need for proper calibration and sample preparation. These findings will help inform future efforts to enhance soil health and environmental safety in urban areas.
Mary-Cathrine Leewis, Christopher Kasanke, Ondrej Uhlik, and Mary Beth Leigh
SOIL, 10, 551–566, https://doi.org/10.5194/soil-10-551-2024, https://doi.org/10.5194/soil-10-551-2024, 2024
Short summary
Short summary
In 1995, an initial study determined that using plants and fertilizers increased degradation of petroleum in soil; the site was then abandoned. In 2010, we returned to find that initial choices of plant and fertilizer use continued to cause changes in the plant and soil microbiomes. We also found evidence for the restoration of native vegetation with certain treatments, which indicates that this could be an important tool for communities that experience soil contamination.
Hamid Reza Boostani, Ailsa G. Hardie, Mahdi Najafi-Ghiri, Ehsan Bijanzadeh, Dariush Khalili, and Esmaeil Farrokhnejad
SOIL, 10, 487–503, https://doi.org/10.5194/soil-10-487-2024, https://doi.org/10.5194/soil-10-487-2024, 2024
Short summary
Short summary
In this work, the combined SM500 + S2 treatment was the most effective with respect to reducing the Ni water-soluble and exchangeable fraction. Application of Si and biochars decreased the soil Ni diethylenetriaminepentaacetic acid and corn Ni shoot content. The study shows the synergistic potential of Si and sheep manure biochars for immobilizing soil Ni.
Laura Sereni, Julie-Maï Paris, Isabelle Lamy, and Bertrand Guenet
SOIL, 10, 367–380, https://doi.org/10.5194/soil-10-367-2024, https://doi.org/10.5194/soil-10-367-2024, 2024
Short summary
Short summary
We estimate the tendencies of copper (Cu) export in freshwater or accumulation in soils in Europe for the 21st century and highlight areas of importance for environmental monitoring. We develop a method combining computations of Cu partitioning coefficients between solid and solution phases with runoff data. The surfaces with potential for export or accumulation are roughly constant over the century, but the accumulation potential of Cu increases while leaching potential decreases for 2000–2095.
Rotem Golan, Ittai Gavrieli, Roee Katzir, Galit Sharabi, and Uri Nachshon
EGUsphere, https://doi.org/10.5194/egusphere-2024-1014, https://doi.org/10.5194/egusphere-2024-1014, 2024
Short summary
Short summary
This study investigates contaminant transport and accumulation in sandy arid soils, focusing on a severe pollution event in 2017 in the Ashalim basin, Israel. It employs long-term field monitoring, lab experiments, and numerical models to understand pollutants transport dynamics. Findings reveal contaminants persist near the surface and circulate vertically. The 'surface evaporation capacitor' concept proves useful in predicting contaminant fate along the soil profile.
Raphael Rehm and Peter Fiener
SOIL, 10, 211–230, https://doi.org/10.5194/soil-10-211-2024, https://doi.org/10.5194/soil-10-211-2024, 2024
Short summary
Short summary
A carbon transport model was adjusted to study the importance of water and tillage erosion processes for particular microplastic (MP) transport across a mesoscale landscape. The MP mass delivered into the stream network represented a serious amount of MP input in the same range as potential MP inputs from wastewater treatment plants. In addition, most of the MP applied to arable soils remains in the topsoil (0–20 cm) for decades. The MP sink function of soil results in a long-term MP source.
Claudia Campillo-Cora, Daniel Arenas-Lago, Manuel Arias-Estévez, and David Fernández-Calviño
SOIL, 9, 561–571, https://doi.org/10.5194/soil-9-561-2023, https://doi.org/10.5194/soil-9-561-2023, 2023
Short summary
Short summary
Cr pollution is a global concern. The use of methodologies specifically related to Cr toxicity is appropriate, such as the pollution-induced community tolerance (PICT) methodology. The development of PICT was determined in 10 soils after Cr addition in the laboratory. The Cr-soluble fraction and dissolved organic carbon were the main variables determining the development of PICT (R2 = 95.6 %).
Sreejata Bandopadhyay, Marie English, Marife B. Anunciado, Mallari Starrett, Jialin Hu, José E. Liquet y González, Douglas G. Hayes, Sean M. Schaeffer, and Jennifer M. DeBruyn
SOIL, 9, 499–516, https://doi.org/10.5194/soil-9-499-2023, https://doi.org/10.5194/soil-9-499-2023, 2023
Short summary
Short summary
We added organic and inorganic nitrogen amendments to two soil types in a laboratory incubation study in order to understand how that would impact biodegradable plastic mulch (BDM) decomposition. We found that nitrogen amendments, particularly urea and inorganic nitrogen, suppressed BDM degradation in both soil types. However, we found limited impact of BDM addition on soil nitrification, suggesting that overall microbial processes were not compromised due to the addition of BDMs.
Olivier Evrard, Thomas Chalaux-Clergue, Pierre-Alexis Chaboche, Yoshifumi Wakiyama, and Yves Thiry
SOIL, 9, 479–497, https://doi.org/10.5194/soil-9-479-2023, https://doi.org/10.5194/soil-9-479-2023, 2023
Short summary
Short summary
Twelve years after the nuclear accident that occurred in Fukushima in March 2011, radioactive contamination remains a major concern in north-eastern Japan. The Japanese authorities completed an unprecedented decontamination programme. The central objective was to not expose local inhabitants to excessive radioactive doses. At the onset of the full reopening of the Difficult-to-Return Zone in 2023, the current review provides an update of a previous synthesis published in 2019.
Ioanna S. Panagea, Antonios Apostolakis, Antonio Berti, Jenny Bussell, Pavel Čermak, Jan Diels, Annemie Elsen, Helena Kusá, Ilaria Piccoli, Jean Poesen, Chris Stoate, Mia Tits, Zoltan Toth, and Guido Wyseure
SOIL, 8, 621–644, https://doi.org/10.5194/soil-8-621-2022, https://doi.org/10.5194/soil-8-621-2022, 2022
Short summary
Short summary
The potential to reverse the negative effects caused in topsoil by inversion tillage, using alternative agricultural practices, was evaluated. Reduced and no tillage, and additions of manure/compost, improved topsoil structure and OC content. Residue retention had a positive impact on structure. We concluded that the negative effects of inversion tillage can be mitigated by reducing tillage intensity or adding organic materials, optimally combined with non-inversion tillage.
Bin Wu, Jia Li, Mingping Sheng, He Peng, Dinghua Peng, and Heng Xu
SOIL, 8, 409–419, https://doi.org/10.5194/soil-8-409-2022, https://doi.org/10.5194/soil-8-409-2022, 2022
Short summary
Short summary
Cadmium (Cd) contamination in soil has severely threatened human health. In this study, we investigated the possibility of applying oyster shell and biochar to reduce Cd uptake by crops and improve soil fertility and enzyme activities in field experiments under rice–oilseed rape rotation, which provided an economical and effective pathway to achieving an in situ remediation of the Cd-contaminated farmland.
Heather C. Kerr, Karen L. Johnson, and David G. Toll
SOIL, 8, 283–295, https://doi.org/10.5194/soil-8-283-2022, https://doi.org/10.5194/soil-8-283-2022, 2022
Short summary
Short summary
Adding an organo-mineral waste product from clean water treatment (WTR) is beneficial for a soil’s water retention, permeability, and strength properties. WTR added on its own significantly improves the shear strength and saturated hydraulic conductivity of soil. The co-application of WTR with compost provides the same benefits whilst also improving soil’s water retention properties, which is beneficial for environmental applications where the soil health is critical.
Zacharias Steinmetz, Paul Löffler, Silvia Eichhöfer, Jan David, Katherine Muñoz, and Gabriele E. Schaumann
SOIL, 8, 31–47, https://doi.org/10.5194/soil-8-31-2022, https://doi.org/10.5194/soil-8-31-2022, 2022
Short summary
Short summary
To scrutinize the contribution of agricultural plastic covers to plastic pollution, we quantified soil-associated plastic debris (≤ 2 mm) in and around agricultural fields covered with different plastics. PP fleeces and 50 µm thick PE films did not emit significant amounts of plastic debris into soil during their 4-month use. However, thinner and perforated PE foils (40 µm) were associated with elevated PE contents of up to 35 mg kg−1. Their long-term use may thus favor plastic accumulation.
Edward J. Jones, Patrick Filippi, Rémi Wittig, Mario Fajardo, Vanessa Pino, and Alex B. McBratney
SOIL, 7, 33–46, https://doi.org/10.5194/soil-7-33-2021, https://doi.org/10.5194/soil-7-33-2021, 2021
Short summary
Short summary
Soil physical health is integral to maintaining functional agro-ecosystems. A novel method of assessing soil physical condition using a smartphone app has been developed – SLAKES. In this study the SLAKES app was used to investigate aggregate stability in a mixed agricultural landscape. Cropping areas were found to have significantly poorer physical health than similar soils under pasture. Results were mapped across the landscape to identify problem areas and pinpoint remediation efforts.
Maria Catarina Paz, Mohammad Farzamian, Ana Marta Paz, Nádia Luísa Castanheira, Maria Conceição Gonçalves, and Fernando Monteiro Santos
SOIL, 6, 499–511, https://doi.org/10.5194/soil-6-499-2020, https://doi.org/10.5194/soil-6-499-2020, 2020
Short summary
Short summary
In this study electromagnetic induction (EMI) surveys and soil sampling were repeated over time to monitor soil salinity dynamics in an important agricultural area that faces risk of soil salinization. EMI data were converted to electromagnetic conductivity imaging through a mathematical inversion algorithm and converted to 2-D soil salinity maps until a depth of 1.35 m through a regional calibration. This is a non-invasive and cost-effective methodology that can be employed over large areas.
Olivier Evrard, J. Patrick Laceby, and Atsushi Nakao
SOIL, 5, 333–350, https://doi.org/10.5194/soil-5-333-2019, https://doi.org/10.5194/soil-5-333-2019, 2019
Short summary
Short summary
The Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident in March 2011 resulted in the contamination of Japanese landscapes with radioactive fallout. The objective of this review is to provide an overview of the decontamination strategies and their potential effectiveness in Japan. Overall, we believe it is important to synthesise the remediation lessons learnt following the FDNPP nuclear accident, which could be fundamental if radioactive fallout occurred somewhere on Earth in the future.
Matthias Hunziker, Olafur Arnalds, and Nikolaus J. Kuhn
SOIL, 5, 223–238, https://doi.org/10.5194/soil-5-223-2019, https://doi.org/10.5194/soil-5-223-2019, 2019
Short summary
Short summary
Afforestation on severely degraded volcanic soils/landscapes is an important process concerning ecological restoration in Iceland. These landscapes have a high potential to act as carbon sinks. We tested the soil (0–30 cm) of different stages of afforested (mountain birch) landscapes and analysed the quantity and quality of the soil organic carbon. There is an increase in the total SOC stock during the encroachment. The increase is mostly because of POM SOC. Such soils demand SOC quality tests.
Belinda C. Martin, Suman J. George, Charles A. Price, Esmaeil Shahsavari, Andrew S. Ball, Mark Tibbett, and Megan H. Ryan
SOIL, 2, 487–498, https://doi.org/10.5194/soil-2-487-2016, https://doi.org/10.5194/soil-2-487-2016, 2016
Short summary
Short summary
The aim of this paper was to determine the impact of citrate and malonate on microbial activity and community structure in uncontaminated and diesel-contaminated soil. The results suggest that these carboxylates can stimulate microbial activity and alter microbial community structure but appear to have a minimal effect on enhancing degradation of diesel. However, our results suggest that carboxylates may have an important role in shaping microbial communities even in contaminated soils.
E. A. Varouchakis, G. V. Giannakis, M. A. Lilli, E. Ioannidou, N. P. Nikolaidis, and G. P. Karatzas
SOIL, 2, 1–11, https://doi.org/10.5194/soil-2-1-2016, https://doi.org/10.5194/soil-2-1-2016, 2016
Short summary
Short summary
A statistical methodology is proposed to predict the probability of presence or absence of erosion in a river section considering locally spatial correlated independent variables.
The proposed tool is easy to use and accurate and can be applied to any region and river. It requires information from easy-to-determine geomorphological and/or hydrological variables to provide the vulnerable locations. This tool could be used to assist in managing erosion and flooding events.
Y. Yuan, Y. Jiang, E. V. Taguas, E. G. Mbonimpa, and W. Hu
SOIL, 1, 595–602, https://doi.org/10.5194/soil-1-595-2015, https://doi.org/10.5194/soil-1-595-2015, 2015
Short summary
Short summary
A major environmental concern in the Commonwealth of Puerto Rico is increased sediment load to water reservoirs, to estuaries, and finally to coral reef areas. Our research found that sediment loss was mainly caused by interactions of development, heavy rainfall events, and steep mountainous slopes. These results improve our understanding of sediment loss resulting from changes in land use/cover, and will allow stakeholders to make more informed decisions about future land use planning.
M. J. Riding, F. L. Martin, K. C. Jones, and K. T. Semple
SOIL, 1, 1–21, https://doi.org/10.5194/soil-1-1-2015, https://doi.org/10.5194/soil-1-1-2015, 2015
Short summary
Short summary
The behaviour of carbon nanomaterials (CNMs) in soils is highly complex and dynamic. As a result, assessments of the possible risks CNMs pose within soil should be conducted on a case-by-case basis. Further work to assess the long-term stability and toxicity of CNM-sorbed contaminants, as well as the toxicity of CNMs themselves, is required to determine if their sorptive abilities can be applied to remedy environmental issues such as land contamination.
Cited articles
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001. a
Bünemann, E. K., Bongiorno, G., Bai, Z., Creamer, R. E., De Deyn, G.,
de Goede, R., Fleskens, L., Geissen, V., Kuyper, T. W., Mäder, P.,
Pulleman, M., Sukkel, W., van Groenigen, J. W., and Brussaard, L.: Soil
quality – A critical review, Soil Biol. Biochem., 120, 105–125,
https://doi.org/10.1016/J.SOILBIO.2018.01.030, 2018. a
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone,
C. A., Turnbaugh, P. J., Fierer, N., and Knight, R.: Global patterns of 16S
rRNA diversity at a depth of millions of sequences per sample, P. Natl. Acad. Sci. USA, 108,
4516–4522, 2011. a
Chen, T., He, T., Benesty, M., Khotilovich, V., Tang, Y., Cho, H., and Chen, K.:
Xgboost: extreme gradient boosting, R package version 0.4-2, 1, 1–4, 2015. a
Christian, S. M. and Ford, J. V.: NIR: 21st-Century Innovations, in: Handbook
of Near-Infrared Analysis, CRC Press, 95–123, 2021. a
Coates, J.: A review of new small-scale technologies for near infrared
measurements, Am. Pharm. Rev., 17, https://www.americanpharmaceuticalreview.com/Featured-Articles/ (last access: 14 July 2022), 2014. a
Colwell, J.: An automatic procedure for the determination of phosphorus in
sodium hydrogen carbonate extracts of soils, Chem. Indust., 1965,
37–51, 1965. a
Cooke, J. A. and Johnson, M. S.: Ecological restoration of land with particular
reference to the mining of metals and industrial minerals: A review of theory
and practice, Environ. Rev., 10, 41–71, 2002. a
Cross, A. T. and Lambers, H.: Calcicole-calcifuge plant strategies limit
restoration potential in a regional semi-arid flora, Ecol. Evol.,
11, 6941–6991, https://doi.org/10.1002/ece3.7544, 2021. a
Cross, A. T., Stevens, J. C., and Dixon, K. W.: One giant leap for mankind: can
ecopoiesis avert mine tailings disasters?, Plant Soil, 421, 1–5,
2017. a
Cross, A. T., Stevens, J. C., Sadler, R., Moreira-Grez, B., Ivanov, D., Zhong,
H., Dixon, K. W., and Lambers, H.: Compromised root development constrains
the establishment potential of native plants in unamended alkaline
post-mining substrates, Plant Soil, 461, 163–179,
https://doi.org/10.1007/s11104-018-3876-2, 2018. a
Delgado-Baquerizo, M., Oliverio, A. M., Brewer, T. E., Benavent-González,
A., Eldridge, D. J., Bardgett, R. D., Maestre, F. T., Singh, B. K., and
Fierer, N.: A global atlas of the dominant bacteria found in soil, Science,
359, 320–325, 2018. a
Department of Industry, Science, Energy and Resources: Commonwealth of
Australia Resources and Energy Quarterly March 2021, Tech. Rep., Department
of Industry, Science, Energy and Resources Australia, Canberra, Australian
Capital Territory, Vol. 11, ISSN 1839-5007, 2021. a
EPA: Environmental Protection Authority Annual Report 2012–13, Tech. Rep.,
Environmental Protection Authority Western Australia, Perth, Western
Australian, https://www.epa.wa.gov.au/sites/ (last access: 14 July 2022), 2013. a
EPA: Environmental Protection Authority Annual Report 2013–14, Tech. Rep.,
Environmental Protection Authority Western Australia, Perth, Western
Australian, https://www.epa.wa.gov.au/sites/ (last access: 14 July 2022), 2014. a, b
Fierer, N., Wood, S. A., and de Mesquita, C. P. B.: How microbes can, and
cannot, be used to assess soil health, Soil Biol. Biochem., 153,
108111, https://doi.org/10.1016/j.soilbio.2020.108111, 2021. a
Gann, G. D., McDonald, T., Walder, B., Aronson, J., Nelson, C. R., Jonson, J.,
Hallett, J. G., Eisenberg, C., Guariguata, M. R., Liu, J., Hua, F.,
Echeverría, C., Gonzales, E., Shaw, N., Decleer, K., and Dixon, K. W.:
International principles and standards for the practice of ecological
restoration. Second edition, Restor. Ecol., 27, 1061–2971, 2019. a
Giussani, B., Gorla, G., and Riu, J.: Analytical chemistry strategies in the
use of miniaturised NIR instruments: An overview, Crc. Cr. Rev. Anal. Chem., 1–33, https://doi.org/10.1080/10408347.2022.2047607, 2022. a
Guerrero, C., Viscarra Rossel, R. A., and Mouazen, A.: Special issue “Diffuse
reflectance spectroscopy in soil science and land resource assessment”
Preface, Geoderma, 158, 1–2, 2010. a
Haney, R. L., Hossner, L. R., and Haney, E. B.: Soil microbial respiration as
a tool to assess post mine reclamation, Int. J. Min. Reclam. Env., 22, 48–59, https://doi.org/10.1080/17480930701414584,
2008. a
Hermans, S. M., Buckley, H. L., Case, B. S., Curran-Cournane, F., Taylor, M.,
and Lear, G.: Bacteria as emerging indicators of soil condition, Appl. Environ. Microb., 83, e0282616, https://doi.org/10.1128/AEM.02826-16, 2017. a
Ihrmark, K., Bödeker, I. T. M., Cruz-Martinez, K., Friberg, H., Kubartova, A.,
J, S., Strid, Y., Stenlid, J., Brandström-Durling, M., Clemmensen, K. E.,
and Lindahl, B. D.: New primers to amplify the fungal ITS2 region –
evaluation by 454-sequencing of artificial and natural communities, FEMS
Microb. Ecol., 82, 666–677, 2012. a
Isbell, R. F.: The Australian Soil Classification, CSIRO Publishing,
Collingwood, Victoria, revised ed edn., ISBN 978-0-643-06981-7, 2002. a
Isobe, K., Bouskill, N. J., Brodie, E. L., Sudderth, E. A., and Martiny, J. B.:
Phylogenetic conservation of soil bacterial responses to simulated global
changes, Philos. T. Roy. Soc. B, 375, 20190242, https://doi.org/10.1098/rstb.2019.0242,
2020. a
Jeffrey, M.: Restore the Soil: Prosper the Nation, Tech. Rep., https://www.agriculture.gov.au/sites/default/files/ (last access: 14 July 2022), 2017. a
Johnson, R. C.: 1st means spectrometer debuts, Electronic engineering times,
https://www.eetimes.com/1st-mems-spectrometer-debuts (last access: 13 July 2022), 2015. a
Karatzoglou, A., Smola, A., Hornik, K., and Zeileis, A.: kernlab-an S4 package
for kernel methods in R, J. Stat. Softw., 11, 1–20, 2004. a
Karlen, D. L., Veum, K. S., Sudduth, K. A., Obrycki, J. F., and Nunes, M. R.:
Soil health assessment: Past accomplishments, current activities, and future
opportunities, Soil Till. Res., 195, 104365, https://doi.org/10.1016/j.still.2019.104365, 2019. a
Lal, R.: Soil carbon sequestration to mitigate climate change, Geoderma,
123, 1–22, 2004. a
Lehmann, J., Bossio, D. A., Kögel-Knabner, I., and Rillig, M. C.: The
concept and future prospects of soil health, Nat. Rev. Earth Environ., 1, 544–553, https://doi.org/10.1038/s43017-020-0080-8, 2020. a
Li, S., Viscarra Rossel, R. A., and Webster, R.: The cost-effectiveness of
reflectance spectroscopy for estimating soil organic carbon, Europ. J. Soil Sci., 73, e13202, https://doi.org/10.1111/ejss.13202, 2022. a
Liaw, A. and Wiener, M.: Classification and regression by randomForest, R
News, 2, 18–22, 2002. a
Lin, L. I.-K.: A concordance correlation coefficient to evaluate
reproducibility, Biometrics, 45, 255–268, 1989. a
Liu, L., Ji, M., Dong, Y., Zhang, R., and Buchroithner, M.: Quantitative
retrieval of organic soil properties from visible near-infrared shortwave
infrared (Vis-NIR-SWIR) spectroscopy using fractal-based feature extraction,
Remote Sens., 8, 1035, https://doi.org/10.3390/rs8121035, 2016. a
Manero, A., Standish, R., and Young, R.: Mine completion criteria defined by
best-practice: A global meta-analysis and Western Australian case studies,
J. Environ. Manage., 282, 111912, https://doi.org/10.1016/j.jenvman.2020.111912, 2021. a
Mullen, K., Ardia, D., Gil, D. L., Windover, D., and Cline, J.: DEoptim: An R
package for global optimization by differential evolution, J. Stat. Softw., 40, 1–26, 2011. a
Munoz-Rojas, M., Erickson, T. E., Dixon, K. W., and Merritt, D. J.: Soil
quality indicators to assess functionality of restored soils in degraded
semiarid ecosystems, Restor. Ecol., 24, 43–52,
https://doi.org/10.1111/rec.12368, 2016. a, b
Murray, D. C., Coghlan, M. L., and Bunce, M.: From Benchtop to Desktop:
Important Considerations when Designing Amplicon Sequencing Workflows, PLOS
ONE, 10, e0124671, https://doi.org/10.1371/journal.pone.0124671, 2015. a
Ng, W., Anggria, L., Siregar, A.F., Hartatik, W., Sulaeman, Y., Jones, E., and Minasny, B.: Developing a soil spectral library using a low-cost NIR
spectrometer for precision fertilization in Indonesia, Geoderma, 22,
e00319, https://doi.org/10.1016/j.geodrs.2020.e00319, 2020. a, b
Nilsson, R., Larsson, K., Taylor, A., Bengtsson-Palme, J., Jeppesen, T.,
Schigel, D., Kennedy, P., K, P., and Glöckner, F.: The UNITE database
for molecular identification of fungi: handling dark taxa and parallel
taxonomic classifications, Nucleic Acids Res., 47, 259–264, 2019. a
Nocita, M., Stevens, A., van Wesemael, B., Aitkenhead, M., Bachmann, M., Barth,
B., Dor, E. B., Brown, D. J., Clairotte, M., Csorba, A., Dardenne, P.,
Dematte, J. A., Genot, V., Guerrero, C., Knadel, M., Montanarella, L., Noon,
C., Ramirez-Lopez, L., Robertson, J., Sakai, H., Soriano-Disla, J. M.,
Shepherd, K. D., Stenberg, B., Towett, E. K., Vargas, R., and Wetterlind, J.:
Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring,
Adv. Agron., 132, 139–159, 2015. a, b
Orgiazzi, A., Ballabio, C., Panagos, P., Jones, A., and Fernández-Ugalde,
O.: LUCAS Soil, the largest expandable soil dataset for Europe: a review,
Europ. J. Soil Sci., 69, 140–153, 2018. a
Price, K., Storn, R. M., and Lampinen, J. A.: Differential evolution: a
practical approach to global optimization, Springer Science & Business
Media, ISBN
978-3540209508, 2006. a
Pu, Y., Pérez-Marín, D., O’Shea, N., and Garrido-Varo, A.: Recent
advances in portable and handheld NIR spectrometers and applications in milk,
cheese and dairy powders, Foods, 10, 2377, https://doi.org/10.3390/foods10102377, 2021. a
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P.,
Peplies, J., and Glöckner, F. O.: The SILVA ribosomal RNA gene
database project: improved data processing and web-based tools, Nucleic
Acids Res., 41, 590–596, 2013. a
Quinlan, J. R.: Learning with continuous classes, in: 5th Australian
joint conference on artificial intelligence, Vol. 92, World
Scientific, 343–348, 1992. a
Rai, R. K., Singh, V. P., and Upadhyay, A.: Soil Analysis, Planning and
Evaluation of Irrigation Projects, 2017, 505–523, 2017. a
Ramírez, P. B., Fuentes-Alburquenque, S., Díez, B., Vargas, I., and
Bonilla, C. A.: Soil microbial community responses to labile organic carbon
fractions in relation to soil type and land use along a climate gradient,
Soil Biol. Biochem., 141, 107692, https://doi.org/10.1016/j.soilbio.2019.107692, 2020. a
Rasmussen, C. E.: Gaussian processes in machine learning, in: Summer school on
machine learning, Springer, 63–71, 2003. a
Rayment, G. and Lyons, D.: Soil Chemical Methods – Australasia, CSIRO
Publishing, Canberra, ISBN 9780643101364, 2010. a
Rinot, O., Levy, G. J., Steinberger, Y., Svoray, T., and Eshel, G.: Soil
health assessment: A critical review of current methodologies and a proposed
new approach, Sci. Total Environ., 648, 1484–1491,
https://doi.org/10.1016/J.SCITOTENV.2018.08.259, 2019. a
Shen, Z. and Viscarra Rossel, R. A.: Automated spectroscopic modelling with
optimised convolutional neural networks, Sci. Rep., 11,
1–12, https://doi.org/10.1038/s41598-020-80486-9, 2021. a
Shen, Z., Ramirez-Lopez, L., Behrens, T., Cui, L., Zhang, M., Walden, L., Wetterlind, J., Shi, Z., Sudduth, K.A., Baumann, P., Song, Y. , Catambay, K., and Viscarra Rossel R. A.: Deep transfer
learning of global spectra for local soil carbon monitoring, ISPRS J. Photogramm., 188, 190–200, 2022. a
Song, Y., Shen, Z., Wu, P., and Viscarra Rossel, R.: Wavelet geographically
weighted regression for spectroscopic modelling of soil properties,
Sci. Rep., 11, 1–11, 2021. a
Tang, Y., Jones, E., and Minasny, B.: Evaluating low-cost portable near
infrared sensors for rapid analysis of soils from South Eastern Australia,
Geoderma, 20, e00240, https://doi.org/10.1016/j.geodrs.2019.e00240, 2020. a, b
Turner, B. L., Fuhrer, J., Wuellner, M., Menendez, H. M., Dunn, B. H., and
Gates, R.: Scientific case studies in land-use driven soil erosion in the
central United States: Why soil potential and risk concepts should be
included in the principles of soil health, Int. Soil Water Conserv. Res., 6, 63–78, https://doi.org/10.1016/J.ISWCR.2017.12.004, 2018. a
Turner, S., Pryer, K. M., Miao, V. P. W., and Palmer, J. D.: Investigating deep
phylogenetic relationships among cyanobacteria and plastids by small subunit
rRNA sequence analysis, J. Eukar. Microb., 46, 327–338,
1999. a
van der Heyde, M., Bunce, M., Dixon, K., Wardell-Johnson, G., White, N., and
Nevill, P.: Changes in soil microbial communities in post mine ecological
restoration: Implications for monitoring using high throughput DNA
sequencing, Sci. Total Environ., 749, 142262, https://doi.org/10.1016/j.scitotenv.2020.142262, 2021. a
Vapnik, V. N.: An overview of statistical learning theory, IEEE T. Neural Networ., 10, 988–999, 1999. a
Viscarra Rossel, R. A., Behrens, T., Ben-Dor, E., Brown, D. J., Demattê, J. A. M., Shepherd, K. D., Shi, Z., Stenberg, B., Stevens, A., Adamchuk, V., Aïchi, H., Barthès, B. G. , Bartholomeus, H. M., Bayer, A. D., Bernoux M. , Böttcher, K., Brodský, L., Du, C. W., Chappell, A., Fouad, Y. , Genot, V., Gomez, C., Grunwald, S., Gubler, A., Guerrero, C., Hedley, C. B., Knadel, M., Morrás, H. J. M., Nocita, M., Ramirez-Lopez, L., Roudier, P., Rufasto Campos, E. M., Sanborn, P. , Sellitto, V. M. , Sudduth, K. A., Rawlins, B. G., Walter, C., Winowiecki, L. A., Hong, S. Y., and Ji, W.: A
global spectral library to characterize the world's soil, Earth-Sci. Rev., 155, 198–230, 2016. a, b
Viscarra Rossel, R. A. and Bouma, J.: Soil sensing: A new paradigm for
agriculture, Agr. Syst., 148, 71–74, 2016. a
Viscarra Rossel, R. A. and Webster, R.: Discrimination of Australian soil horizons and classes from
their visible–near infrared spectra, European J. Soil Sci., 62, 637–647, 2011. a
Wagner, B. D., Grunwald, G. K., Zerbe, G. O., Mikulich-Gilbertson, S. K.,
Robertson, C. E., Zemanick, E. T., and Harris, J. K.: On the Use of
Diversity Measures in Longitudinal Sequencing Studies of Microbial
Communities, Front. Microb., 9, 1037, https://doi.org/10.3389/fmicb.2018.01037, 2018. a
Walkley, A. and Black, I.: An examination of the Degtjareff method for
determining soil organic matter, a proposed modification of the chromic acid
titration method, Soil Sci., 37, 29–38, 1934. a
Wehrens, R. and Mevik, B.-H.: The pls package: principal component and partial
least squares regression in R, J. Stat. Softw., 18, 1–23, https://doi.org/10.18637/jss.v018.i02, 2007. a
White, T. J., Bruns, T. D., Lee, S. B., and Taylor, J.: Amplification and
direct sequencing of fungal ribosomal RNA Genes for phylogenetics, in: PCR
Protocols: A Guide to Methods and Applications, edited by: Innis, M., Gelfand,
D. H., Sminsky, J. J., and White, T. J., Academic Press, San
Diego, USA, 315–323, 1990. a
Wold, S., Sjöström, M., and Eriksson, L.: PLS-regression: a basic tool
of chemometrics, Chemometr. Intell. Lab., 58,
109–130, 2001. a
Yang, Y., Viscarra Rossel, R. A., Li, S., Bissett, A., Lee, J., Shi, Z.,
Behrens, T., and Court, L.: Soil bacterial abundance and diversity better
explained and predicted with spectro-transfer functions, Soil Biol. Biochem., 129, 29–38, 2019. a
Yang, Y., Shen, Z., Bissett, A., and Viscarra Rossel, R. A.: Estimating soil fungal abundance and diversity at a macroecological scale with deep learning spectrotransfer functions, SOIL, 8, 223–235, https://doi.org/10.5194/soil-8-223-2022, 2022. a
Short summary
We compared miniaturised visible and near-infrared spectrometers to a portable visible–near-infrared instrument, which is more expensive. Statistical and machine learning algorithms were used to model 29 key soil health indicators. Accuracy of the miniaturised spectrometers was comparable to the portable system. Soil spectroscopy with these tiny sensors is cost-effective and could diagnose soil health, help monitor soil rehabilitation, and deliver positive environmental and economic outcomes.
We compared miniaturised visible and near-infrared spectrometers to a portable...
