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	<title>mine tailings &#8211; Science</title>
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	<title>mine tailings &#8211; Science</title>
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		<title>How a Drop of Water Decides Whether Mine Waste Traps Carbon as Flawless Crystal or Useless Crust</title>
		<link>https://scienmag.com/how-a-drop-of-water-decides-whether-mine-waste-traps-carbon-as-flawless-crystal-or-useless-crust/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 07:02:47 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[alkaline mine tailings carbon capture]]></category>
		<category><![CDATA[calcite]]></category>
		<category><![CDATA[calcium carbonate formation in mining environments]]></category>
		<category><![CDATA[carbon capture]]></category>
		<category><![CDATA[cemented paste backfill]]></category>
		<category><![CDATA[chemistry of carbon mineral trapping]]></category>
		<category><![CDATA[CO2 sequestration]]></category>
		<category><![CDATA[crystallization]]></category>
		<category><![CDATA[effects of moisture levels on carbon mineralization]]></category>
		<category><![CDATA[environmental impact of mine tailings]]></category>
		<category><![CDATA[influence of water on calcite crystal growth]]></category>
		<category><![CDATA[magnesium inhibition]]></category>
		<category><![CDATA[mine tailings]]></category>
		<category><![CDATA[mine waste carbon sequestration]]></category>
		<category><![CDATA[mineral carbonation]]></category>
		<category><![CDATA[mineral weathering and carbonation in mining]]></category>
		<category><![CDATA[Ostwald ripening]]></category>
		<category><![CDATA[passivation layer]]></category>
		<category><![CDATA[process optimization for underground carbon storage]]></category>
		<category><![CDATA[role of water in mineral passivation]]></category>
		<category><![CDATA[silicate polymerization]]></category>
		<category><![CDATA[sustainable mine waste management]]></category>
		<category><![CDATA[water content]]></category>
		<category><![CDATA[water content influence on mineral crystallization]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=240554</guid>

					<description><![CDATA[New research shows that water content, not temperature or pressure, governs whether carbon dioxide captured in mine tailings becomes defective metastable crusts or pure micron-scale calcite crystals.]]></description>
										<content:encoded><![CDATA[<p>Beneath every mine site lies a mountain of ground-up rock, and inside that rock lies a quiet opportunity: the ability to lock carbon dioxide into stone, permanently, using nothing more than chemistry that nature has practiced for billions of years. A new study published in Results in Engineering has now revealed that the single most important variable in this process may be the most mundane substance imaginable — water. Not its temperature, not its pressure, but simply how much of it is present at the moment carbon dioxide meets alkaline mine tailings determines whether the captured carbon ends up as pristine, micron-scale calcite crystals or as a defective, passivating crust that strangles the reaction in its cradle.</p>
<p>The research team, led by Liuhua Yang and Haikun Liu, worked with cemented paste backfill, a material that mines routinely pump underground as a mixture of tailings and Portland cement. Their tailings, sourced from the Nanchang Copper Mine in Jiangxi Province, China, were rich in reactive calcium — containing 24.05 percent calcium oxide alongside abundant silica, iron and aluminum oxides. Rather than testing a handful of discrete conditions, the researchers designed a continuous water-content gradient spanning five groups, from completely dry samples held at 55 percent relative humidity, through liquid-to-solid ratios of 0.4 and 1, all the way to fully suspended slurries at ratios of 3 and 20. Every sample was carbonated under identical conditions: pure carbon dioxide at 200 milliliters per minute, ambient temperature and atmospheric pressure, sampled at 6, 12 and 24 hours.</p>
<p>What emerged from this systematic sweep is a story of two fundamentally different crystallization regimes. In the water-starved samples, derivative thermogravimetry revealed bimodal decomposition profiles and broadened shoulder peaks — thermal fingerprints of amorphous calcium carbonate and poorly crystalline vaterite, the metastable precursors that normally transform into stable calcite but here remained kinetically frozen. A persistent portlandite peak at around 460 degrees Celsius showed that without free water, calcium transport channels were severed, confining the reaction to the outermost particle layer. The nanometric water films that remained simply could not carry ions fast enough: diffusion coefficients under such conditions fall two to three orders of magnitude below those in bulk solution.</p>
<p>As water availability increased, the thermal signatures transformed. The low-temperature shoulder vanished, the main decomposition peak narrowed and sharpened, and by the highest liquid-to-solid ratio the entire carbonate signal coalesced into a single intense peak near 800 degrees Celsius — the hallmark of highly crystalline calcite. Intriguingly, the total amount of carbonate barely changed across the entire gradient: after 24 hours, apparent calcium carbonate content varied only from 30.4 to 32.4 percent by weight, a relative difference of roughly 6.6 percent. Water, it turns out, is not primarily a lever on how much carbon gets captured, but on what form that carbon takes and how cleanly it forms.</p>
<p>X-ray diffraction and infrared spectroscopy told the same story from different angles. In dry samples, the principal calcite reflection at 29.4 degrees remained weak and broad even after a full day of reaction, while vaterite peaks lingered — evidence of a crystallization pathway stuck in first gear. In the wettest samples, the calcite peak became the dominant feature and vaterite disappeared entirely. Infrared spectra traced the carbonate vibrational modes sharpening and intensifying with water content, while the silicate framework signals shifted in parallel, revealing depolymerization and repolymerization of the aluminosilicate matrix as water enabled dissolved species to migrate and reorganize.</p>
<p>Perhaps the most visually striking evidence came from electron microscopy. Under water-deficient conditions, tailings particle surfaces became blanketed in a dense, gel-like encapsulation — flocculent, edgeless material formed when explosive local supersaturation triggers a storm of tiny nuclei that can neither grow nor ripen. This coating acts as a physical barrier, blocking carbon dioxide from penetrating and calcium from escaping, which explains why carbonation efficiency in the driest group stagnated almost immediately. At intermediate moisture, the surfaces sprouted spheroidal, cauliflower-like aggregates with rounded edges — crystals beginning to emerge but still crowded and intergrown. Only in the water-rich slurries did the researchers observe the prize: abundant rhombohedral calcite crystals with smooth faces, sharp edges and well-defined cleavage planes, grown to micron scale through solution-mediated dissolution and reprecipitation.</p>
<p>The elemental maps added a crucial twist about impurities. In dry samples, calcium signals overlapped intimately with silicon, aluminum, magnesium and iron, indicating that carbonate precipitated entangled with the unreacted matrix while magnesium ions became trapped at lattice growth sites — a form of crystal poisoning that distorts calcite morphology. In water-rich samples, the maps showed dramatic elemental segregation: discrete calcium-rich zones with impurity signals at background levels. Real-time solution chemistry explained why. Magnesium concentrations in the slurry rose steadily as the reaction proceeded, showing that magnesium was eluted into the liquid phase rather than incorporated into the solid. The researchers attribute this to hydration energetics — magnesium&#8217;s hydration free energy of roughly minus 1,921 kilojoules per mole substantially exceeds calcium&#8217;s minus 1,577, making dehydration and lattice incorporation less favorable. Alkali metal behavior added a further nuance: at the moderate liquid-to-solid ratio of 3, higher ionic strength compressed the electrical double layer around growing nuclei, encouraging impurity adsorption, whereas the dilute conditions at ratio 20 fostered a cleaner crystallization environment.</p>
<p>Solid-state nuclear magnetic resonance revealed that the silicate skeleton itself undergoes a water-driven reconstruction. Dry samples retained low-polymerization silicate dominated by Q1 and Q2 units — dimers and short chains left stranded after calcium leaching. As water content rose, the spectra shifted upfield, and the wettest samples showed a broad resonance spanning minus 95 to minus 115 parts per million, deconvolving into Q3 and Q4 sites characteristic of layered and three-dimensional framework structures. In other words, abundant water allowed detached silicate fragments to repolymerize into a porous, highly connected amorphous silica network — one that, unlike the dense passivation films of dry carbonation, appears to serve as an ion-transport conduit rather than a barrier, consistent with the complete consumption of portlandite observed in the wettest group.</p>
<p>The pH trajectory of the aqueous experiments delineated three kinetic stages: an initial alkaline plateau near 12.5 to 13 buffered by portlandite and calcium silicate hydrates, a rapid decline as those phases were consumed, and a final stabilization near 6.0 to 6.5 during which carbonate precipitation and calcite growth continued. Calcium concentrations traced a textbook dissolution-precipitation cycle — surging as minerals dissolved, plummeting during massive carbonate precipitation, and settling at equilibrium with calcite&#8217;s solubility product. Together these measurements sketch a self-purifying mechanism in which water physically separates the desired product from the contaminants that would otherwise sabotage it.</p>
<p>The practical implications are considerable but carefully caveated. The authors identify three water regimes: an unfavorable deficient domain up to a liquid-to-solid ratio of 0.4, a transitional domain at ratio 1, and a favorable water-sufficient domain at ratios of 3 and above — while stressing that these thresholds are composition-specific rather than universal. More water is not automatically better: carbon dioxide diffuses through liquid roughly four orders of magnitude more slowly than through gas, so excessive slurry depth could throttle the gas supply to reactive surfaces, and high water volumes carry real costs in reactor size, agitation energy, dewatering and wastewater treatment — particularly since the self-purification mechanism transfers magnesium and other dissolved ions into the process liquor. The engineering optimum, the authors suggest, lies near the minimum water content that can trigger dissolution-reprecipitation and impurity exclusion. Within that window, however, the message is transformative: a variable as simple as moisture can be tuned to control the size, purity and morphology of carbonate products, turning one of mining&#8217;s largest waste streams into a precision instrument for permanent carbon removal.</p>
<p><strong>Subject of Research:</strong> Water-content-dependent mineral carbonation of cemented mine tailings for CO2 sequestration</p>
<p><strong>Article Title:</strong> Water-content-dependent carbonate formation in cemented paste backfill: Phase assemblage, morphology, and ion partitioning</p>
<p><strong>Article References:</strong> Yang, L., Liu, H., Li, T., Jiao, H., Niu, H., &amp; Chen, S. (2026). Water-content-dependent carbonate formation in cemented paste backfill: Phase assemblage, morphology, and ion partitioning. <em>Results in Engineering, 32</em>, Article 113319. <a href="https://doi.org/10.1016/j.rineng.2026.113319" rel="noopener noreferrer">https://doi.org/10.1016/j.rineng.2026.113319</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.rineng.2026.113319" rel="noopener noreferrer">10.1016/j.rineng.2026.113319</a></p>
<p><strong>Keywords:</strong> mineral carbonation, CO2 sequestration, mine tailings, calcite, cemented paste backfill, water content, crystallization, passivation layer, magnesium inhibition, silicate polymerization, carbon capture, Ostwald ripening</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">240554</post-id>	</item>
		<item>
		<title>Abandoned Gold Tailings Leave Toxic Legacy in South African Soils and Water</title>
		<link>https://scienmag.com/abandoned-gold-tailings-leave-toxic-legacy-in-south-african-soils-and-water/</link>
		
		<dc:creator><![CDATA[Sloane Callahan]]></dc:creator>
		<pubDate>Sun, 04 Oct 2026 02:18:13 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[abandoned mining waste environmental impact]]></category>
		<category><![CDATA[acid mine drainage]]></category>
		<category><![CDATA[arsenic]]></category>
		<category><![CDATA[arsenic and uranium pollution in groundwater]]></category>
		<category><![CDATA[ecological risk]]></category>
		<category><![CDATA[environmental health risks of abandoned tailings]]></category>
		<category><![CDATA[geochemical analysis of tailings sites]]></category>
		<category><![CDATA[geochemistry]]></category>
		<category><![CDATA[gold mining]]></category>
		<category><![CDATA[Gold tailings contamination]]></category>
		<category><![CDATA[heavy metal contamination in mining regions]]></category>
		<category><![CDATA[heavy metals]]></category>
		<category><![CDATA[impact on local communities and agriculture]]></category>
		<category><![CDATA[legacy of gold mining pollution]]></category>
		<category><![CDATA[long-term environmental effects of gold mining]]></category>
		<category><![CDATA[mine tailings]]></category>
		<category><![CDATA[soil contamination]]></category>
		<category><![CDATA[South Africa]]></category>
		<category><![CDATA[South African mining pollution legacy]]></category>
		<category><![CDATA[tailings dam abandonment and soil toxicity]]></category>
		<category><![CDATA[toxic elements in South African soils]]></category>
		<category><![CDATA[uranium]]></category>
		<category><![CDATA[water quality]]></category>
		<category><![CDATA[Witwatersrand]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=233070</guid>

					<description><![CDATA[A comprehensive geochemical survey of the Welkom Goldfield reveals that abandoned gold mine tailings dams continue to contaminate surrounding soils and water with arsenic, chromium, lead and uranium, posing ecological and human health risks.]]></description>
										<content:encoded><![CDATA[<p>More than a century after gold was first wrested from the Witwatersrand Basin, the mountains of crushed rock left behind by South Africa&#8217;s gold industry are still quietly poisoning their surroundings. A new geochemical investigation of the Welkom Goldfield in the Free State Province has found that soils and water near abandoned tailings dams carry elevated concentrations of potentially toxic elements, including arsenic, chromium, lead and, for the first time in this area, uranium. The study, published in Environmental Geochemistry and Health, offers one of the most comprehensive pictures yet of how these aging waste facilities continue to shape the chemistry of the landscapes around them, sometimes just a few hundred metres from people&#8217;s homes and grazing land.</p>
<p>The research team, led by Rinae Makhadi of the University of the Free State and the University of Johannesburg, together with Robert Hansen, Kim Dowling and Hassina Mouri, collected sixteen soil samples from eleven locations around four abandoned tailings dams, a tailings footprint, informal residential areas and farming and grazing lands near Welkom and the neighbouring mining towns of Odendaalsrus and Virginia. A control sample was taken from open land in Riebeeckstad, where the underlying geology is similar but mining disturbance is minimal. Nine water samples were also gathered, spanning four groundwater boreholes, two wetlands and three surface water sites near tailings dams. Soils were analysed for both total and leachable element concentrations using inductively coupled plasma mass spectrometry, while water chemistry was resolved with ICP optical emission spectrometry and a suite of standard physicochemical measurements.</p>
<p>The results are stark. Mean soil concentrations were highest for iron at 18,425 milligrams per kilogram, manganese at 273 milligrams per kilogram and chromium at 200 milligrams per kilogram, and these values were frequently highest close to the tailings themselves. Arsenic ranged from 3 to 304 milligrams per kilogram, with the highest reading recorded at a grazing site near Virginia, far exceeding both the Dutch target value of 29 milligrams per kilogram and South Africa&#8217;s soil screening value of 5.8 milligrams per kilogram for the most sensitive land uses. Chromium breached regulatory limits at every single sampling site, a finding the authors describe as evidence of the severity of contamination across the study area. Uranium, detected for the first time in Welkom soils, reached 49 milligrams per kilogram at the Virginia site.</p>
<p>That uranium detection carries particular weight. The Witwatersrand gold ores are famously associated with uraninite, and the tailings left after gold extraction remain rich in radioactive and nephrotoxic uranium. Yet South Africa&#8217;s national soil screening standards contain no limit for uranium, a regulatory gap the researchers flag as concerning given the country&#8217;s substantial uranium reserves and the documented health risks of exposure, which include carcinogenic and renal effects. The team argues that uranium must be added to the national screening framework if compliance monitoring around goldfields is to be meaningful.</p>
<p>To quantify contamination, the researchers deployed a battery of established indices. Geoaccumulation index values showed that aluminium, barium, manganese, iron, cobalt, copper, nickel, titanium and vanadium remained at background levels, but arsenic, chromium, lead and uranium registered clear anthropogenic pollution at several sites. The Virginia grazing land stood out dramatically, with a geoaccumulation index of 12 for arsenic, indicating extreme enrichment, and contamination factors of 63 for arsenic, 17 for lead and 18 for uranium. Pollution load index values ranged from uncontaminated to moderately contaminated, with the tailings footprint and the Virginia site again ranking highest. Spatial distribution maps reinforced the pattern: sites close to tailings dams consistently recorded the highest concentrations, while more distant locations, including the Riebeeckstad control, were comparatively clean, strong evidence that the tailings themselves are the source.</p>
<p>The ecological risk assessment sharpened the picture further. Individual ecological risk values for arsenic reached 630 at the Virginia site and 100 at the tailings footprint, while lead scored 85 at Virginia, both figures signalling considerable potential harm to ecosystems. The comprehensive potential ecological risk index ranged from a very low 14 to a high of 765, with Virginia and the tailings footprint topping the scale. Although the two informal residential sites near the tailings footprint showed low ecological risk in their own soils, their proximity to contaminated ground raises concern, particularly for children, whose ingestion of soil and dust is recognised as a primary exposure pathway to contaminants.</p>
<p>Water told an equally troubling story. Groundwater pH values sat within World Health Organization guidelines, but electrical conductivity and total dissolved solids frequently exceeded permissible limits, with one urban borehole recording a conductivity of 295 millisiemens per metre and dissolved solids of 2,092 milligrams per litre. Manganese in one farm borehole surpassed the WHO limit, and lithium exceeded its guideline value in the urban borehole. The wetlands fared worse still: one showed extreme salinity with total dissolved solids approaching 8,900 milligrams per litre and concentrations of arsenic, fluoride and nickel above drinking water standards. Most striking were the mine waters themselves, where pH dropped as low as 2.5 and sulphate concentrations reached nearly 3,700 milligrams per litre, accompanied by arsenic, iron, manganese, nickel and uranium at levels far beyond South Africa&#8217;s discharge limits under the National Water Act.</p>
<p>The chemistry behind these numbers is classic acid mine drainage. Welkom&#8217;s tailings are dominated by quartz and mica but contain pyrite, an iron sulphide that oxidises when exposed to air and water, generating sulphuric acid. The resulting acidity dissolves metals from the tailings and mobilises them into soil moisture, groundwater and surface runoff. Piper trilinear diagrams classified the mine waters and three groundwater samples as calcium-magnesium-sulphate type, a signature the authors identify as a key indicator of sulphide oxidation in acid mine environments. Gibbs diagrams pointed to rock weathering and evaporation as the dominant geochemical processes, with the high dissolved solids of the mine waters reflecting long residence times and intense evaporation. The interconnectedness of groundwater, wetlands and surface water means contamination from the tailings does not stay put; it migrates through the whole hydrological system.</p>
<p>Water quality index calculations, which compress physical and chemical parameters into a single score from 0 to 100, delivered a sobering verdict: three of the four groundwater samples were rated poor and unsuitable for drinking, and one of the two wetlands was rated very poor. Only the borehole farthest from the tailings, on an Odendaalsrus farm, returned good quality, and it was also the only groundwater sample plotting in the sodium-bicarbonate facies associated with fresher, less mining-affected water. Because small farming communities in the region depend on groundwater for domestic supply, and wetlands are used for household purposes, these ratings translate directly into potential human exposure.</p>
<p>The authors are careful to note what the study does not cover. Airborne dust and food crops were not analysed, leaving open questions about inhalation and dietary exposure pathways, and they recommend detailed follow-up work on dust, crops, grazing grass and community health through questionnaire-based investigations. In the meantime, they offer practical guidance for residents: avoid growing food in contaminated soils or add clean topsoil, limit children&#8217;s play near tailings, encourage hand washing after outdoor play, and consider dust masks during windy seasons. Farmers grazing livestock on the Virginia land should be informed of the risks to both animals and families. The broader message is unambiguous: abandoned tailings dams are not inert relics of a finished industry but active chemical reactors, still acidifying, still leaching and still dispersing toxic elements into the soils and waters on which Welkom&#8217;s communities depend. Without systematic monitoring, regulatory closure of the uranium gap and a comprehensive strategy to contain seepage, the gold that built this region will keep exacting a heavy environmental price.</p>
<p><strong>Subject of Research:</strong> Geochemical contamination of soil and water around abandoned gold mine tailings dams in the Welkom Goldfield, South Africa</p>
<p><strong>Article Title:</strong> Geochemical assessment of soil and water around abandoned gold mine tailings dams: evidence from the Welkom Goldfield, South Africa</p>
<p><strong>Article References:</strong> Makhadi, R., Hansen, R., Dowling, K., &amp; Mouri, H. (2026). Geochemical assessment of soil and water around abandoned gold mine tailings dams: evidence from the Welkom Goldfield, South Africa. <em>Environmental Geochemistry and Health, 48</em>(15), Article 618. <a href="https://doi.org/10.1007/s10653-026-03513-0" rel="noopener noreferrer">https://doi.org/10.1007/s10653-026-03513-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10653-026-03513-0" rel="noopener noreferrer">10.1007/s10653-026-03513-0</a></p>
<p><strong>Keywords:</strong> gold mining, mine tailings, soil contamination, water quality, arsenic, uranium, acid mine drainage, South Africa, Witwatersrand, ecological risk, heavy metals, geochemistry</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">233070</post-id>	</item>
		<item>
		<title>Economics Decide Which Buried Metals We Can Still Get Back</title>
		<link>https://scienmag.com/economics-decide-which-buried-metals-we-can-still-get-back/</link>
		
		<dc:creator><![CDATA[Sloane Callahan]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 01:02:00 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[anthropogenic metal stocks]]></category>
		<category><![CDATA[anthropogenic stocks]]></category>
		<category><![CDATA[Circular economy]]></category>
		<category><![CDATA[economic valuation of buried metals]]></category>
		<category><![CDATA[environmental accounting for metals]]></category>
		<category><![CDATA[extraction economics]]></category>
		<category><![CDATA[future metal resource availability]]></category>
		<category><![CDATA[impact of technology on metal reuse]]></category>
		<category><![CDATA[landfill mining]]></category>
		<category><![CDATA[landfills as metal resource repositories]]></category>
		<category><![CDATA[Life Cycle Assessment]]></category>
		<category><![CDATA[life cycle assessment of metal resources]]></category>
		<category><![CDATA[long-term metal resource planning]]></category>
		<category><![CDATA[metal recycling]]></category>
		<category><![CDATA[metal recycling economics]]></category>
		<category><![CDATA[mine tailings]]></category>
		<category><![CDATA[mining waste and secondary resource extraction]]></category>
		<category><![CDATA[ore grade decline]]></category>
		<category><![CDATA[policies for sustainable metal management]]></category>
		<category><![CDATA[resource dissipation]]></category>
		<category><![CDATA[resource footprinting]]></category>
		<category><![CDATA[technosphere]]></category>
		<category><![CDATA[urban mining]]></category>
		<category><![CDATA[urban mining and resource recovery]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=229911</guid>

					<description><![CDATA[A new life cycle assessment framework classifies gold, copper, and iron in tailings, landfills, and hoarded stock as dissipated or accessible based on the relative economics of extraction compared with declining ore grades over 25, 100, and 300 years.]]></description>
										<content:encoded><![CDATA[<p>A smartphone contains gold at concentrations hundreds of times higher than the richest gold ore ever mined. A tonne of copper tailings may hold metal at grades that would have delighted a nineteenth-century mining engineer. And yet most of these metals sit untouched, locked inside what researchers call anthropogenic stocks: the vast, sprawling inventory of metals that humanity has already dug out of the ground and then scattered across landfills, mine waste piles, drawers, and attics. A new study published in the Journal of Industrial Ecology argues that whether these metals count as lost resources or future supplies is not a question of geology or technology alone. It is, above all, a question of economics, and it changes depending on how far into the future you are willing to look.</p>
<p>The research, led by Valentina Pusateri of the Technical University of Denmark together with Mikołaj Owsianiak, Marja Rinne, Stig I. Olsen, Michael Z. Hauschild, and Sami Kara, tackles a stubborn blind spot in environmental accounting. Life cycle assessment, the standard tool for measuring the environmental footprint of products, has long struggled with how to treat metal resources. Recent methodological advances have shifted the focus from simple resource depletion toward resource dissipation: the idea that a metal becomes a genuine loss when it flows into a sink from which future users cannot realistically recover it. But existing methods typically treat all unrecovered metals as equally dissipated, ignoring the crucial fact that some stocks are far easier to tap than others, and that accessibility shifts as technologies mature and ore grades decline.</p>
<p>The Danish-Australian team proposed an elegantly simple criterion built on comparative profitability. A metal in a given anthropogenic stock is classified as dissipated when the net present value of extracting it from that stock is lower than the net present value of extracting the same metal from the reference stock, which the researchers defined as the upper continental crust, the most plentiful and dominant source of metals. In other words, if mining companies can always make more profit pulling copper out of the ground than out of a landfill, the landfilled copper is effectively inaccessible, no matter how concentrated it is. The authors were careful to stress that this does not mean the metal cannot physically be extracted; it means that in a global economy with a plentiful alternative source, the stock will not become the dominant supply, and its metal functions remain out of reach for the system as a whole.</p>
<p>To operationalize this dissipation quotient, the team assembled an unusually comprehensive economic dataset. They screened more than 500 publications and reports, ultimately extracting capital and operating expenditure data from 45 studies covering extraction of gold, copper, and iron from mine tailings, landfills, and hoarded stock such as end-of-life electronics. All costs were harmonized to 2024 euros using GDP deflators and exchange rates, and allocated per kilogram of extracted metal. Because revenues from metals are set on global exchange markets regardless of origin, the comparison reduces to a battle of costs: whichever source delivers metal more cheaply wins, and the loser is classified as dissipated.</p>
<p>The numbers reveal stark differences between the three metals. Extracting copper from anthropogenic stocks costs between roughly 6 and 670 euros per kilogram, while gold extraction runs between 28,000 and 44,000 euros per kilogram, a gap of about three orders of magnitude driven by the vastly different concentrations of the metals in waste streams. Iron sits at the bottom of the range, from about 0.07 to 120 euros per kilogram. Hoarded stock, meaning discarded phones, computers, and circuit boards, proved the most expensive source overall, despite its high metal concentrations, because collecting and dismantling small, complex devices is costly. Landfills showed the lowest average extraction costs for copper and iron, while tailings generally emerged as the most accessible stock type across the analysis.</p>
<p>The crucial twist comes from the reference side of the equation. Ore grades have fallen steadily since large-scale mining began, and the researchers projected this decline forward using an exponential decline model calibrated on historical data, cross-checked with a power regression approach. Copper ore grades have historically declined by about 1.72 percent per year, gold by about 1.05 percent, and iron by 0.61 percent. Because energy for mining and processing is the dominant cost driver and rises steeply as grades fall, the cost of primary extraction is expected to climb. At a 25-year horizon, the projected grade decline raises reference extraction costs by less than 10 percent. But by 300 years, the present value of costs is expected to increase by roughly 20 percent for gold, 200 percent for copper, and a striking 330 percent for iron relative to today.</p>
<p>Running the dissipation criterion across three time horizons of 25, 100, and 300 years produced a nuanced and somewhat counterintuitive picture. Accessibility generally increases with time, as primary mining becomes more expensive and the economic gap narrows. Gold consistently emerged as the most accessible metal, classified as non-dissipated in hoarded electronic waste, which aligns with the fact that gold recovery is already the main economic driver of e-waste recycling. Iron in tailings also performed relatively well. By contrast, hoarded iron, drawn from electronic waste where iron is merely a structural contaminant rather than a recovery target, was classified as dissipated across the entire range of uncertainty at every time horizon, with cost differences reaching minus 311 euros per kilogram at 300 years. Most other metal-stock combinations remained, on average, dissipated even at 300 years, though the uncertainty ranges were wide enough that many straddled the boundary.</p>
<p>The team then asked whether technological learning could flip these classifications. Using the classic Wright&#8217;s law framework, which links cost reduction to growth in cumulative output, they calculated the learning rates that emerging extraction technologies would need to break even with primary mining. For most combinations the required learning rates ranged from about 40 to 80 percent per doubling of output, far above the 15 to 25 percent considered realistic for emerging technologies, making a reclassification unlikely. Tailings were the notable exception. Copper recovery from tailings would need learning rates of only 25 to 40 percent, gold less than 20 percent, values well within reach as technologies mature. This finding dovetails with real-world developments, as copper is already being extracted from old mine tailings that were once written off as inaccessible.</p>
<p>The authors are candid about the limitations. Data availability was uneven, with no cost data at all for gold in landfills, and abandoned or dispersed technosphere stocks had to be excluded entirely. The assumption that anthropogenic metal concentrations stay constant over time may not hold if these stocks become active supply sources, and the assumption that metals recovered from waste fetch the same market price as virgin metal may fail where purity is lower. Yet sensitivity analysis suggested that the classifications are more sensitive to technology maturity and learning than to plausible shifts in reference ore grades. Recognizing this irreducible uncertainty, the researchers recommend a careful vocabulary shift: stocks meeting the criterion should be labeled potentially dissipative, and those clearing it potentially non-dissipative, rather than treated as certainties.</p>
<p>The implications reach well beyond academic methodology. Current footprinting approaches, including influential methods that assume everything not recycled within a given timeframe is dissipated, may systematically overestimate resource use impacts by ignoring the metal-, stock-, and time-specific nature of accessibility. The dissipation curves and breakthrough times generated by this framework could feed directly into next-generation life cycle impact assessment metrics, replacing crude recycling-rate proxies with economically grounded estimates of when, and whether, the metals we bury today will serve future generations. In a world where maximum technical circularity is estimated at only 30 to 40 percent and primary extraction will dominate for decades, knowing which of our discarded riches are truly lost, and which are merely waiting for the economics to turn, is a question whose answer is finally taking quantitative shape.</p>
<p><strong>Subject of Research:</strong> Economic dissipation of copper, gold, and iron in anthropogenic stocks for resource footprinting</p>
<p><strong>Article Title:</strong> Determining the dissipation of copper, gold, and iron resources in anthropogenic stocks based on extraction economics</p>
<p><strong>Article References:</strong> Pusateri, V., Owsianiak, M., Rinne, M., Olsen, S. I., Hauschild, M. Z., &amp; Kara, S. (2026). Determining the dissipation of copper, gold, and iron resources in anthropogenic stocks based on extraction economics. <em>Journal of Industrial Ecology, 30</em>(4), 1743-1759. <a href="https://doi.org/10.1007/s44498-026-00118-9" rel="noopener noreferrer">https://doi.org/10.1007/s44498-026-00118-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44498-026-00118-9" rel="noopener noreferrer">10.1007/s44498-026-00118-9</a></p>
<p><strong>Keywords:</strong> anthropogenic stocks, resource dissipation, life cycle assessment, circular economy, mine tailings, landfill mining, urban mining, ore grade decline, extraction economics, metal recycling, resource footprinting, technosphere</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">229911</post-id>	</item>
		<item>
		<title>Soil Covers Tame Toxic Copper Mine Tailings, But Not for Every Metal</title>
		<link>https://scienmag.com/soil-covers-tame-toxic-copper-mine-tailings-but-not-for-every-metal/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 23:41:30 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[acid rock drainage]]></category>
		<category><![CDATA[copper]]></category>
		<category><![CDATA[Copper mine tailings management]]></category>
		<category><![CDATA[Copperbelt]]></category>
		<category><![CDATA[effects of weathering on mine tailings]]></category>
		<category><![CDATA[environmental impact of tailings storage facilities]]></category>
		<category><![CDATA[environmental monitoring of mining waste]]></category>
		<category><![CDATA[geochemical analysis of tailings]]></category>
		<category><![CDATA[leaching behavior of toxic metals in mine dumps]]></category>
		<category><![CDATA[leaching tests]]></category>
		<category><![CDATA[long-term stability of soil covers on tailings]]></category>
		<category><![CDATA[metal-specific response to soil covers]]></category>
		<category><![CDATA[mine rehabilitation]]></category>
		<category><![CDATA[mine tailings]]></category>
		<category><![CDATA[potentially toxic elements]]></category>
		<category><![CDATA[rehabilitation of copper mine tailings]]></category>
		<category><![CDATA[soil cover]]></category>
		<category><![CDATA[soil cover effectiveness in mine waste stabilization]]></category>
		<category><![CDATA[SPLP]]></category>
		<category><![CDATA[sustainable mining practices in Zambia]]></category>
		<category><![CDATA[TCLP]]></category>
		<category><![CDATA[toxicity reduction in mine waste]]></category>
		<category><![CDATA[Zambia]]></category>
		<category><![CDATA[zinc]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=224354</guid>

					<description><![CDATA[A study of Zambian Copperbelt tailings shows soil covers cut copper leaching by orders of magnitude but can increase zinc mobility, revealing that rehabilitation outcomes are element-specific.]]></description>
										<content:encoded><![CDATA[<p>In the mining towns of Zambia&#8217;s Copperbelt Province, the hills on the horizon are not natural. They are tailings storage facilities, vast engineered dumps of the finely ground waste rock left behind after copper ore is processed. These structures hold millions of tonnes of crushed material laced with potentially toxic elements, and where they sit uncovered, wind and rain work on them year after year. A new study published in Environmental Monitoring and Assessment has now put hard numbers on what a simple intervention, a soil cover, actually does to the chemistry of these dumps, and the answer is more nuanced than a straightforward success story.</p>
<p>The research team, led by Misozi Makangila of the Copperbelt University&#8217;s School of Mines and Mineral Sciences together with colleagues at the British Geological Survey, compared two tailings facilities in the Copperbelt: one that had been rehabilitated with a soil cover and one left open to the elements. By running both materials through an identical battery of physical, chemical and leaching tests, the researchers could isolate the effect of the cover itself rather than guessing from regional averages. The work was funded through the Copperbelt University&#8217;s Africa Centre of Excellence for Sustainable Mining, the British Geological Survey University Funding Initiative, NERC national capability programmes and a Royal Society International Exchange grant, with sampling permission granted by Mopani Copper Mines.</p>
<p>The physical characterisation began with the basics that determine how a tailings deposit behaves in the field. The team measured organic matter content, specific gravity and particle size distribution, and used automated mineralogy to identify exactly which minerals make up the waste. This mineralogical detail turned out to be the crux of the whole study. The covered tailings were rich in dolomite and calcite, two carbonate minerals that act as natural antacids. The uncovered tailings, by contrast, were dominated by quartz, which made up around 60 percent of the material and is essentially chemically inert, offering no buffering capacity against the acids that form when sulphide minerals oxidise.</p>
<p>That difference in mineralogy translated directly into a difference in chemical behaviour. The uncovered tailings carried markedly higher concentrations of labile elements, meaning elements held in forms that are easily released into water. Copper reached 4,470 milligrams per kilogram in the uncovered material, alongside zinc at 12 milligrams per kilogram, chromium at 12, lead at 7 and arsenic at 2. These numbers matter because the Copperbelt&#8217;s tailings dams sit close to settlements, and previous work in the region has documented metals accumulating in soils, fruits and trees around the dumps. The total concentration, however, is only half the story; what determines environmental risk is how much of that metal can actually move.</p>
<p>To measure mobility, the researchers applied three complementary leaching tests, each simulating a different environmental scenario. The field leaching test captures conditions closer to what the material experiences in place. The toxicity characteristic leaching procedure, a standard regulatory test developed by the US Environmental Protection Agency, uses an acidic extraction to approximate worst-case disposal conditions. The synthetic precipitation leaching procedure simulates the direct action of rainwater percolating through waste. Running all three on the same samples allowed the team to bracket the range of release rates the tailings might exhibit from mild to aggressive conditions, a methodological point that matters because single-test assessments routinely understate or overstate real-world leaching.</p>
<p>The results for copper were striking. Under the mild conditions of the synthetic precipitation leaching procedure, the uncovered tailings were estimated to release around one tonne of copper per year in leachate. The covered tailings released just 0.004 tonnes per year, a reduction of roughly two orders of magnitude. The mechanism is well understood in acid rock drainage science: a soil cover limits the ingress of oxygen and water, slowing the oxidation of sulphide minerals that generates acidity. With less acid produced, the abundant carbonates in the covered material can neutralise what little forms, keeping pH in a range where copper stays locked in the solid phase rather than dissolving into percolating water.</p>
<p>But the cover did not suppress every metal, and this is where the study earns its relevance for rehabilitation practice. Zinc behaved in the opposite direction: the covered tailings showed increased zinc mobility compared with the uncovered material. The researchers attribute this to ion exchange and complexation reactions facilitated by the higher carbonate content. Carbonate-rich environments can keep zinc in solution through the formation of soluble complexes, and ion exchange on mineral surfaces can displace zinc ions into pore water even as copper is immobilised. In other words, the same geochemical conditions that stabilise one potentially toxic element can mobilise another, a reminder that cover system performance cannot be judged on a single-element basis.</p>
<p>The element-specific nature of this outcome has direct implications for how mine waste is closed out, both in Zambia and in other sulphide-rich mining districts worldwide. Cover systems are a cornerstone of tailings rehabilitation internationally, used from Scandinavia to Indonesia to cut off the oxygen and water supply that drives acid generation. What this study adds is paired, quantitative evidence from the Zambian Copperbelt showing that a cover delivers dramatic copper stabilisation while potentially increasing zinc flux. Risk assessments and closure designs that assume a cover uniformly reduces all metal mobility would miss that trade-off entirely. The findings also feed into a broader debate about the long-term stewardship of tailings facilities, which globally number in the thousands and include many legacy structures never rehabilitated at all.</p>
<p>The timing is significant for Zambia itself. The country has set an ambitious target of raising copper production to three million tonnes within a decade, which means more tailings will be generated, and the legacy dumps of a mining district worked for nearly a century already pose ongoing exposure questions for nearby communities. Studies like this one provide the baseline data needed to prioritise which facilities to rehabilitate first and to design covers that account for the full suite of metals present, not just the headline contaminant. The authors position their results explicitly as input for future mine waste rehabilitation and risk mitigation studies in Zambia and comparable mining-impacted regions.</p>
<p>There is also a methodological lesson embedded in the work. The agreement and divergence among the field leaching test, the TCLP and the SPLP illustrate why regulators and researchers increasingly insist on multi-test characterisation before certifying a waste as stable. A single aggressive extraction might flag the uncovered tailings as hazardous while saying little about the slow, chronic copper release that actually dominates environmental loading under rainfall. Conversely, a mild test alone would have missed the zinc mobilisation that emerges under the carbonate-rich chemistry of the covered facility. As automated quantitative mineralogy becomes faster and cheaper, pairing it with tiered leaching protocols offers a template for characterising not just Copperbelt tailings but the enormous global inventory of sulphidic mine waste whose stability depends on mineralogy as much as on chemistry.</p>
<p><strong>Subject of Research:</strong> Leaching behaviour and environmental stability of copper mine tailings with and without soil covers in Zambia&#x27;s Copperbelt Province</p>
<p><strong>Article Title:</strong> Characterisation of copper mine tailings for environmental stability from the Copperbelt Province, Zambia</p>
<p><strong>Article References:</strong> Makangila, M., Maseka, K. K., Hara, Y. R. S., Watts, M., &amp; Harimana, J. (2026). Characterisation of copper mine tailings for environmental stability from the Copperbelt Province, Zambia. <em>Environmental Monitoring and Assessment, 198</em>(10), Article 1128. <a href="https://doi.org/10.1007/s10661-026-15932-8" rel="noopener noreferrer">https://doi.org/10.1007/s10661-026-15932-8</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10661-026-15932-8" rel="noopener noreferrer">10.1007/s10661-026-15932-8</a></p>
<p><strong>Keywords:</strong> mine tailings, copper, zinc, soil cover, leaching tests, TCLP, SPLP, acid rock drainage, Zambia, Copperbelt, potentially toxic elements, mine rehabilitation</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">224354</post-id>	</item>
		<item>
		<title>Fungal Partners Supercharge Cyanobacteria to Bind Toxic Mine Sand Into Living Crusts</title>
		<link>https://scienmag.com/fungal-partners-supercharge-cyanobacteria-to-bind-toxic-mine-sand-into-living-crusts/</link>
		
		<dc:creator><![CDATA[Morgan Morrow]]></dc:creator>
		<pubDate>Fri, 25 Sep 2026 11:47:26 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[biocrust formation on mine tailings]]></category>
		<category><![CDATA[biocrusts]]></category>
		<category><![CDATA[bioengineering for erosion control]]></category>
		<category><![CDATA[biological strategies for habitat restoration]]></category>
		<category><![CDATA[co-inoculation]]></category>
		<category><![CDATA[Cyanobacteria]]></category>
		<category><![CDATA[cyanobacteria and fungi in ecosystem stabilization]]></category>
		<category><![CDATA[ecosystem restoration]]></category>
		<category><![CDATA[erosion control]]></category>
		<category><![CDATA[exopolysaccharides]]></category>
		<category><![CDATA[fungi]]></category>
		<category><![CDATA[innovative biotechnologies for environmental cleanup]]></category>
		<category><![CDATA[long-term incubation of microbial consortia]]></category>
		<category><![CDATA[microbial consortia]]></category>
		<category><![CDATA[microbial diversity in extreme environments]]></category>
		<category><![CDATA[microbial ecological studies on barren landscapes]]></category>
		<category><![CDATA[microbial ecology]]></category>
		<category><![CDATA[microbial inoculation for mine waste reclamation]]></category>
		<category><![CDATA[microbial partnerships for land restoration]]></category>
		<category><![CDATA[microbial synergy in soil crust development]]></category>
		<category><![CDATA[mine tailings]]></category>
		<category><![CDATA[Promotes]]></category>
		<category><![CDATA[soil stabilization]]></category>
		<category><![CDATA[sustainable remediation of toxic mine sands]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=214357</guid>

					<description><![CDATA[Pairing compatible cyanobacteria and fungi dramatically accelerates the formation of living crusts that stabilize barren quartz sand mine tailings, a new study finds.]]></description>
										<content:encoded><![CDATA[<p>Mine tailings are among the most inhospitable landscapes humans have created: vast expanses of crushed quartz sand with virtually no organic matter, no soil structure, and no protection against wind and water erosion. A new study published in the journal Microbial Ecology suggests that the answer to stabilizing these barren wastes may lie in a partnership between two of Earth&#8217;s oldest microbial players. Researchers report that inoculating quartz sand tailings with carefully chosen pairs of cyanobacteria and fungi can dramatically accelerate the formation of biocrusts—living skin-like communities of microorganisms that bind loose particles into a coherent, erosion-resistant surface layer.</p>
<p>The research team, led by Ivan Dudaš of the University of Novi Sad and Åbo Akademi University, tested five cyanobacterial strains alongside five fungal strains, both individually and in every possible cyanobacteria–fungi combination, on quartz sand tailings over a 90-day incubation period. The cyanobacteria included species from the genera Nostoc, Trichormus, Tolypothrix, and two strains of Chroococcidiopsis, while the fungal panel comprised Penicillium oxalicum, Purpureocillium lilacinum, Aspergillus clavatus, Penicillium brasilianum, and Talaromyces wortmannii. This systematic screening of all 25 pairings is what gives the study its unusual power: rather than assuming that mixing microbes is always beneficial, the researchers could measure exactly how each combination performed.</p>
<p>Biocrusts are natural features of arid and semi-arid ecosystems worldwide, where cyanobacteria, lichens, mosses, and fungi colonize the top millimeters of soil and hold it together. In natural settings, these crusts form slowly over years or decades. The concept behind induced biocrusts is to jump-start the process by seeding suitable substrates with pioneer organisms. Cyanobacteria are the classic choice because many filamentous species glide through sediment, excrete sticky exopolysaccharides, and even contribute to carbonate precipitation. But the authors of the new study argue that the fungal side of the partnership has been largely overlooked, even though fungi in natural biocrusts weave hyphal networks that enmesh sand grains and can supply nutrients and moisture to their photosynthetic partners.</p>
<p>To evaluate success, the team deployed a battery of physical and biochemical measurements. Scanning electron microscopy revealed whether the microbes had actually colonized the tailings and bound sediment particles together. Chlorophyll-a content served as a proxy for cyanobacterial biomass, while exopolysaccharide production—measured in both loosely bound and tightly bound fractions—indicated how much glue-like material the community was generating. The researchers also assessed fungal abundance, the thickness of the induced crust, water drop penetration time as a measure of surface water repellency, and sediment penetration resistance as an indicator of mechanical stability.</p>
<p>The results showed that pairing mattered enormously. Certain combinations produced striking synergies that far exceeded anything achieved by cyanobacteria alone. The pairing of Tolypothrix sp. with Penicillium oxalicum delivered substantial boosts in chlorophyll-a, exopolysaccharides, and water repellency, while Trichormus sp. combined with Purpureocillium lilacinum produced thicker induced crusts along with a modest increase in sediment stability. Scanning electron micrographs confirmed that in these successful combinations, the microbes had effectively colonized the sand and were binding particles through EPS-mediated stabilization, with fungal filaments and cyanobacterial filaments visibly entangling the quartz grains.</p>
<p>Just as revealing were the failures. Some pairings had little effect at all, and others actively harmed crust development. Tolypothrix sp. combined with either Penicillium brasilianum or Talaromyces wortmannii caused significant reductions in key indicators, demonstrating that incompatibility between strains can undermine the entire enterprise. The authors emphasize that the benefits of co-inoculation depend strongly on the compatibility of the specific microorganisms involved—a caution for anyone hoping to simply throw a microbial cocktail at a degraded landscape and expect improvement.</p>
<p>Correlation analysis added a layer of nuance that complicates any simple recipe for crust engineering. Chlorophyll-a and the loosely bound EPS fraction were positively correlated with each other and with water repellency, suggesting that photosynthetic biomass and polysaccharide glue reinforce one another and help the surface shed or repel water. Yet crust thickness told a different story: it was negatively correlated with water repellency, chlorophyll-a, and penetration resistance. In other words, thicker crusts were not automatically stronger or more photosynthetically active, and different functional traits of the induced biocrusts responded in contrasting ways. This decoupling means that restoration practitioners may need to decide which property matters most for a given site—surface sealing, mechanical resistance, or biomass accumulation—and select their microbial partners accordingly.</p>
<p>The implications extend well beyond a single laboratory experiment. Quartz sand tailings are generated in enormous quantities by mining and mineral processing operations around the world, and their fine, unconsolidated particles are prone to becoming airborne dust or washing into waterways. Conventional stabilization approaches often rely on physical barriers, chemical binders, or imported topsoil, all of which can be costly and environmentally problematic. An induced biocrust strategy, by contrast, works with living organisms that self-assemble, self-repair, and potentially begin the long process of building genuine soil, complete with organic matter and nutrient cycling. If tailored consortia can be matched to specific tailings chemistries and climates, rehabilitation could shift from heavy engineering toward ecological restoration.</p>
<p>The study also contributes to a broader scientific conversation about microbial interactions in extreme environments. Cyanobacteria–fungi partnerships echo the ancient symbioses that produced lichens, and understanding the rules that govern which pairings succeed could illuminate how early life colonized barren substrates on Earth—and perhaps how life might be established on other planets with regolith surfaces. The finding that compatibility, not mere co-presence, drives synergy suggests that the metabolic exchange between the partners—potentially involving carbon compounds, growth factors, and moisture retention—is finely tuned and species-specific. Mapping those exchanges is a likely next step for the field.</p>
<p>For now, the message of the research is one of cautious optimism. Co-inoculation of compatible cyanobacteria and fungi can markedly enhance induced biocrust formation and stabilize degraded mine tailings, offering what the authors describe as an effective biocrust-facilitated strategy for rehabilitating degraded substrates. But the same experiments show that the wrong pairing can stall or reverse progress. The era of microbial landscaping—seeding damaged landscapes with designer communities of photosynthetic and fungal pioneers—is coming into focus, and its success will depend on the kind of patient, systematic compatibility testing this study exemplifies. The desert&#8217;s own engineers, it turns out, work best in carefully chosen teams.</p>
<p><strong>Subject of Research:</strong> Induced biocrust formation on mine tailings through cyanobacteria–fungi co-inoculation</p>
<p><strong>Article Title:</strong> Co-inoculation of Cyanobacteria and Fungi Promotes Induced Biocrust Formation and Stabilization of Quartz Sand Tailings</p>
<p><strong>Article References:</strong> Dudaš, I., Dulić, T., Čapelja, E., Nystrand, M., Palanački Malešević, T., Österholm, P., Svirčev, Z., &amp; Meriluoto, J. (2026). Co-inoculation of Cyanobacteria and Fungi Promotes Induced Biocrust Formation and Stabilization of Quartz Sand Tailings. <em>Microbial Ecology</em>. <a href="https://doi.org/10.1007/s00248-026-02887-z" rel="noopener noreferrer">https://doi.org/10.1007/s00248-026-02887-z</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00248-026-02887-z" rel="noopener noreferrer">10.1007/s00248-026-02887-z</a></p>
<p><strong>Keywords:</strong> biocrusts, cyanobacteria, fungi, mine tailings, exopolysaccharides, microbial consortia, ecosystem restoration, soil stabilization, microbial ecology, erosion control, Co-inoculation, Promotes</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">214357</post-id>	</item>
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