The study, published in Nature Communications, combined deep metagenomic sequencing with metaproteomics, an approach the authors call proteogenomics, to reconstruct more than 2,300 microbial genomes from soil samples collected across the full 0 to 90 centimeter depth range. The work took place at the University of California’s Blodgett Forest Research Station in the Sierra Nevada foothills, where three pairs of heated and unheated plots have been monitored since 2014. Over 7.5 years, the team collected 115 soil samples at six time points, generating 3.61 terabases of raw sequencing data and detecting more than 25,000 proteins expressed in situ. The resulting dataset spans 48 classes across 23 phyla, including many lineages that have never been cultured in a laboratory.

The single most striking result is that soil depth, not warming, is the dominant force shaping microbial life underground. Depth explained roughly 33 percent of the variance in community composition, while four degrees of warming accounted for just 2.3 percent, a fourteenfold difference. The sharpest ecological transition occurred between 30 and 50 centimeters, a zone where soil organic matter chemistry, root inputs, and redox conditions all change abruptly. This finding matters because more than half of the global soil carbon stock lies below 30 centimeters, in subsoils that have long been neglected by both field studies and the biogeochemical models used to project climate futures.

The trait analysis revealed a microbial world organized by resource gradients. Surface communities were enriched in genes for methanol, formaldehyde, and formate oxidation, reflecting their access to plant-derived methanol and pectin compounds from root exudates and litter. Methanol dehydrogenases appeared in 620 genomes, representing 27 percent of the reconstructed genomes across 13 phyla. In contrast, deep-soil microbes showed greater potential for carbon monoxide oxidation, alcohol fermentation, nitrogen fixation, and hydrogen metabolism, strategies consistent with life where oxygen and favorable substrates are scarce. Proteomic measurements confirmed that these patterns are not merely genomic potential: carbon monoxide oxidation and nitrogen fixation proteins peaked below 50 centimeters, while methanol oxidation was active at every depth sampled.

Perhaps the most unexpected discovery involved sialidases, enzymes that cleave terminal sialic acids from glycoproteins. These GH33-family enzymes, along with their associated carbohydrate-binding modules, were among the most abundant carbohydrate-active enzymes detected in deep soils, and the team believes this is the first evidence of their expression in subsoil environments. Sialic acids are known to protect glycoproteins from proteolytic degradation and thermal denaturation, meaning that microbial necromass rich in these sugar-coated proteins has often been considered a relatively stable carbon pool. The abundant expression of sialidases suggests that deep-soil bacteria actively strip away this protective layer, unlocking carbon and nitrogen from fungal and microbial remains that were previously thought to be locked away.

Warming effects, though smaller than the depth signal, were functionally consequential and strikingly depth-specific. After 7.5 years, surface soils showed enhanced potential for transporting amino sugars and sugar alcohols, mobilizing phosphorus, and detoxifying reactive oxygen species, alongside an expanded repertoire of carbohydrate-active enzymes targeting cellulose, xylan, and sialic acids. In mid-depth soils between 10 and 60 centimeters, warming stimulated formaldehyde detoxification, formate oxidation, and carbon monoxide oxidation. Nitrogen cycling shifted in complex, bidirectional ways: nitric oxide reduction potential increased near the surface, nitrate and nitrous oxide reduction rose at mid-depth, ammonia oxidation potential deepened in the profile, and dissimilatory nitrate reduction to ammonium declined.

These functional shifts appear to be driven by carbon limitation rather than changes in bulk soil chemistry. Previous measurements at the site showed that warming reduced fine root mass and depleted unprotected, easily accessible soil organic carbon in the subsoil. Phospholipid fatty acid analysis revealed that microbial biomass below 30 centimeters declined by 28 percent under warming, even as bulk carbon measurements showed no change. The researchers argue that deprived of plant-derived substrates, deep-soil microbes are turning to alternative metabolisms, including carbon monoxide oxidation and single-carbon compound turnover, to sustain themselves. This functional plasticity, rather than taxonomic turnover, appears to be the primary mode of microbial adaptation to long-term warming.

The study also highlighted the outsized roles played by poorly understood, uncultured lineages. Dormibacteria, Gemmatimonadota, and Thermoplasmatota contributed hundreds of near-complete genomes and were disproportionately associated with single-carbon metabolism and nitrogen cycling, particularly in deep soils where proteomic data confirmed their activity. These organisms are largely invisible to standard amplicon-based surveys that rely on primer-dependent amplification, underscoring the value of genome-resolved approaches for capturing the true functional scope of soil ecosystems. Their prominence in deep soils suggests that some of the most important players in carbon-climate feedbacks have been hiding below the reach of conventional sampling.

The findings arrive at a critical moment for climate modeling. Most ecosystem biogeochemistry models neither explicitly represent depth-dependent heterogeneity nor incorporate microbial traits, a gap that contributes to large uncertainties in projected carbon-climate feedbacks. The Blodgett experiment has already documented a sustained 30 to 37 percent increase in soil respiration under warming, including proportional responses from subsoils, and this new mechanistic framework helps explain why. Surface microbiomes respond rapidly through substrate uptake and stress tolerance, while deep communities respond more slowly but with functionally distinct strategies that may sustain greenhouse gas fluxes over longer timescales. The authors argue that the next generation of Earth system models must move beyond topsoil-centric perspectives and build in the depth-stratified microbial traits that this study has now mapped in unprecedented detail.

What emerges from seven and a half years of heated ground is a portrait of soil as a vertically stratified ecosystem, where each layer harbors microbes with fundamentally different survival strategies. As the planet warms, the carbon locked in deep soils will not simply decay faster in a uniform way; instead, distinct communities at each depth will shift their metabolisms along different trajectories, some scavenging trace gases, others dismantling protective glycoproteins, and still others rerouting nitrogen through removal pathways. Understanding these layered responses, the researchers conclude, is essential for predicting whether the vast carbon reserves beneath our feet will remain stable or become an accelerating source of atmospheric carbon dioxide in a warming world.

Subject of Research: Depth-stratified microbial carbon cycling responses to whole-soil warming in a temperate forest soil profile

Article Title: Soil proteogenomics uncover microbial strategies for soil depth-specific carbon cycling under whole-soil warming conditions

Article References: Soil proteogenomics uncover microbial strategies for soil depth-specific carbon cycling under whole-soil warming conditions. (n.d.). https://doi.org/10.1038/s41467-026-78137-0

Image Credits: AI Generated

DOI: 10.1038/s41467-026-78137-0

Keywords: soil carbon, whole-soil warming, proteogenomics, metagenomics, metaproteomics, microbial traits, subsoil, carbon cycle, nitrogen cycling, sialidases, climate feedbacks, soil microbiology

The physics behind the concern is not new. Scientists have anticipated for decades that rising temperatures could trigger additional emissions from natural reservoirs of carbon, creating feedback loops in which warming causes releases that cause further warming. Thawing permafrost exposes ancient frozen organic matter to decomposition, converting long-sequestered carbon into carbon dioxide and methane. Warmer wetlands and lakes, particularly in the tropics, host microbial communities that produce more methane as conditions grow hotter and more anoxic. And hotter, drier conditions fuel larger and more intense wildfires that burn through carbon stored in forests and soils, releasing it to the atmosphere in pulses that can be difficult for ecosystems to reabsorb. Each of these mechanisms has been studied individually; the challenge has always been adding them up.

The new paper, titled Projected Amplification of Global Warming by Warming-Induced Greenhouse Gas Emissions, represents the largest coordinated effort so far to quantify the combined effect of four major feedback loops covering both carbon dioxide and methane: permafrost thaw, wildfires, wetlands, and inland waters. The author team includes researchers from Stanford University, Spark Climate Solutions, the Environmental Defense Fund, and the Woodwell Climate Research Center, institutions that collectively span much of the leading work on carbon cycle science. By treating the feedbacks together rather than in isolation, the study captures interactions and compounding effects that single-system analyses miss, producing a more realistic picture of how natural emissions scale with temperature.

The quantitative results are striking in both scenarios examined. Under SSP1-2.6, a scenario representing relatively strong climate action in which human emissions reach net zero, warming-induced feedbacks could still add an estimated 0.2 degrees Celsius of warming by 2100, with a one-standard-deviation uncertainty of plus or minus 0.2 degrees. Under SSP4-6.0, a higher-emissions pathway, the feedbacks could contribute an estimated 0.4 degrees Celsius by the end of the century, again with an uncertainty of plus or minus 0.2 degrees. In a world where the difference between 1.5 and 2 degrees of warming is understood to mark the boundary between manageable adaptation and serious harm, tenths of a degree carry enormous weight for ice sheets, coral reefs, agriculture, and extreme weather.

The critical gap the authors identify is structural rather than merely scientific. Most Earth system models used to estimate how global temperature responds to anthropogenic emissions do not fully represent these warming-induced emissions. As a result, the climate projections that inform national pledges, carbon budgets, and international assessments likely understate future warming and overstate the amount of carbon humanity can still afford to emit while staying within agreed temperature limits. To close this gap, scientists from around the world are convening under a coordinated model intercomparison effort to test and compare different representations of warming-induced emissions, and to advocate that these processes be reflected in major policy and planning vehicles such as future IPCC assessment reports.

The study’s lead author, Dr. Sam Abernethy, a research scientist at Spark Climate Solutions, said the magnitude of the effect surprised the team. We found that natural systems could amplify global warming by 20 to 30 percent, he noted, describing it as a hidden multiplier missing from the models guiding climate policy. Because those models omit the multiplier, he argued, they are likely underestimating how much warming is coming and overestimating how much carbon can still be emitted. His prescription is twofold: deepen the scientific understanding of the underlying processes, and build them into the models on which policy decisions depend, so that carbon budgets reflect the full picture rather than an artificially favorable subset of it.

Permafrost emerges from the analysis as the single largest contributor, accounting for roughly half of the anticipated warming-induced emissions. Dr. Christina Schädel, a senior research scientist at the Woodwell Climate Research Center and a co-author, emphasized that permafrost scientists have long warned that thawing soils would become a significant emissions source as the planet warms, and that the new paper puts firm numbers on that expectation. Her central message is that warming-induced emissions are already in motion and scale with every fraction of a degree of additional heating, which means that every increment of warming averted today translates directly into less feedback-driven warming in the long term. The feedback is not a distant hypothetical; it is a process that responds to near-term choices.

Dr. Robert Jackson, Provostial Professor at Stanford University and chair of the Global Carbon Project, framed the results as confirmation of a long-anticipated shift in the carbon cycle. Researchers have expected warming to boost the carbon cycle for years, he said, and the evidence that it is happening in real time is now accumulating. In his view, the paper supplies the numbers needed to substantiate substantial emissions increases from permafrost, wetlands, freshwaters, and wildfires, and the results should function as a wake-up call for policymakers. If the next generation of climate policies fails to incorporate these feedback emissions, he warned, meeting the world’s climate goals will become progressively less likely, because targets calibrated on incomplete models will be systematically too optimistic.

Dr. Brian Buma, a senior climate scientist at the Environmental Defense Fund and a co-author, highlighted the policy implication in stark terms: the Earth and climate system does not stand still while societies debate policy. Emissions from permafrost, wetlands, and wildfire could meaningfully erode the remaining time before critical warming thresholds are crossed, and because they are unaccounted for in most scenarios, the urgency of rapid fossil fuel emissions reductions is even greater than current projections suggest. Yet his assessment also carries the study’s most encouraging message. The size of the feedback is not fixed; it scales with the warming that human emissions produce. Lower emissions now limit how severe these natural feedbacks become, keeping a meaningful degree of control in human hands.

Dr. Ben Poulter, director of the Warming-Induced Emissions Program at Spark Climate Solutions and a co-author of the paper, described the dynamic as a threat that human greenhouse gas emissions feed further warming as permafrost, wetlands, and wildfires destabilize and respond by releasing carbon dioxide, methane, and nitrous oxide. He characterized the study as both a critical estimate of the magnitude of the temperature response and a call to action to accelerate the accounting and monitoring of warming-induced emissions, so that mitigation pathways can be designed around phasing out fossil emissions quickly enough to stabilize the planet’s climate. Taken together, the study’s findings redraw the margin of error in climate planning: the feedbacks are real, they are quantifiable, they amplify whatever warming humans cause, and they respond in kind to every ton of emissions avoided. The authors declare no competing interests, and the research was published with the aim of informing the scientific community and the policy processes that depend on it.

Subject of Research: Quantification of warming-induced greenhouse gas emissions from natural climate feedbacks including permafrost thaw, wildfires, wetlands, and inland waters

Article Title: New study shows unaccounted climate feedback loops may amplify warming by up 20–30% this century, but cutting emissions will reduce risks

Article References: New study shows unaccounted climate feedback loops may amplify warming by up 20–30% this century, but cutting emissions will reduce risks. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: climate feedbacks, warming-induced emissions, permafrost thaw, wildfires, wetlands, methane, carbon dioxide, Earth system models, climate policy, carbon budget, IPCC, Environmental Research Letters

For decades, mechanistic soil organic carbon models such as MIMICS, Millennial, and MES-C have represented decomposition as an almost exclusively microbial affair. Litter falling to the ground is split into metabolic and structural pools, digested by microbial functional groups, and routed into dissolved carbon, particulate organic carbon, and mineral-associated organic carbon. Termites, despite being among the most abundant detritivores on Earth and occupying roughly 80 million square kilometers of habitat concentrated in the tropics and subtropics, have been entirely absent from these equations. The omission matters because field evidence has long shown that termites dominate deadwood breakdown in tropical forests, with exclusion experiments suggesting they account for 58 to 64 percent of wood decomposition in tropical rainforests.

The new framework extends the MES-C model by adding an explicit coarse woody debris pool and a parallel, termite-mediated decomposition pathway alongside the familiar microbial one. Three feeding guilds are represented: xylophagous termites that consume wood, fungus-growing termites that harvest plant residues through cultivated fungal combs, and soil-feeding termites that process partially decomposed organic matter. Carbon ingested by termites is partitioned among respiratory carbon dioxide, methane production, growth of termite biomass, and excreted residues. Two of those residues — frass, the finely processed and nutrient-rich waste that decomposes quickly, and necromass, the chitin-rich bodies of dead termites that break down more slowly — re-enter the soil as inputs to microbial and mineral-associated carbon pools.

A crucial subtlety in the model is the fate of termite methane. Between 20 and 80 percent of the methane produced inside termite colonies may be oxidized by methanotrophic microbes within mounds and galleries before it ever reaches the atmosphere, making net emissions highly sensitive to mound architecture, colony density, and soil conditions. The module therefore couples termite metabolism directly to microbial methane cycling, allowing methane that is consumed within mounds to still contribute to microbial biomass and carbon dioxide release. This level of mechanistic detail, the authors argue, is what allows termite processes to be represented without breaking the mass balance that global carbon models depend on.

To run the model globally, the team linked termite biomass to ecosystem productivity, using gross primary productivity as a proxy for the resources available to termite colonies. Potential habitat was constrained by a thermal mask that excludes regions where monthly minimum temperatures fall below minus eight degrees Celsius, consistent with observed limits on termite survival. Simulations across global vegetation classes reveal a striking biogeographic pattern. Tropical evergreen forests, with the highest mean termite biomass density of 8.9 grams of carbon per square meter, dominate every flux: they account for 733.4 teragrams of carbon consumed, 404.1 teragrams released as carbon dioxide, and 3.7 teragrams emitted as methane each year. Savannas, with somewhat lower biomass but vast extent, follow close behind.

Globally, the model estimates that termites release 864.7 teragrams of carbon per year as carbon dioxide — equivalent to roughly 3,171 teragrams of carbon dioxide, or about 3.2 to 4.7 percent of total global soil respiration — and 7.9 teragrams of carbon as methane, a figure consistent with the Global Methane Budget’s estimate that termites contribute around 1.8 percent of global methane emissions. At the same time, termites transfer 689.3 teragrams of carbon per year into labile and mineral-associated soil organic carbon pools, with 209.1 teragrams going to the more stable mineral-associated fraction. The carbon dioxide flux should not be read as an extra source on top of microbial respiration, the authors stress; rather, termites redirect a share of decomposition through a faunal route with different climate sensitivities.

That difference in sensitivity is where the climate implications become sharp. Microbial decomposition rates typically rise by a factor of about 2.2 to 4.6 for every ten degrees of warming, but empirical work on termites suggests their feeding and foraging rates can increase several-fold over the same range, corresponding to an effective behavioral temperature sensitivity close to a Q10 of seven. In other words, warming may disproportionately accelerate termite-driven decomposition and trace-gas fluxes. Model-based reconstructions indicate that termite methane emissions already increased during the twentieth century and may continue rising under warming and land-use change, positioning these insects as a potential amplifier of carbon-climate feedbacks in precisely the tropical and seasonally dry regions most vulnerable to climate shifts.

Sensitivity analysis identified which parameters matter most for taming the uncertainty. Termite ingestion capacity and biomass emerged as the dominant controls on flux magnitude, while the partitioning of consumed carbon among respiration, residues, and biomass governs the ultimate fate of processed carbon. Methane-related parameters, by contrast, had comparatively weak effects. Most of the uncertainty in the headline numbers stems from the wide range of ingestion rates reported in the literature, which points directly to the field measurements the authors say are needed next: biome-resolved termite biomass surveys, guild-specific ingestion rates measured under natural conditions, and better constraints on how termites split carbon between gas, waste, and body tissue.

The framework is deliberately minimal, and the authors are candid about its limits. Termite biomass is treated as uniform within grid cells even though colonies create intense local hotspots of consumption and gas exchange; interactions with competing or cooperating free-living microbes are not resolved; and the modeled inputs to mineral-associated carbon represent potential additions rather than guaranteed long-term storage, since mineral surface area and oxide content are not simulated. Evaluation also leans on a single global biomass synthesis from 1996 built on sparse observations. Even so, the consistency of the model’s spatial patterns with known termite biogeography, and the agreement of its flux magnitudes with independent empirical estimates, suggest the dominant controls are plausibly captured.

What the study ultimately offers is a template for a more complete theory of the terrestrial carbon cycle — one that moves beyond the microbe-centric paradigm that has shaped soil modeling for a generation. Because termites process about twelve percent of global coarse woody debris, models that ignore them may misjudge how long woody carbon persists in low-latitude forests, and because their activity peaks in warm, water-limited African savannas where microbial decomposition slows, they may buffer ecosystems against drought in ways current models cannot see. The authors propose that future frameworks aggregate soil fauna by shared substrate use and carbon effects, while keeping termites distinct, since no other faunal group combines massive litter processing with a direct biological source of methane. Embedding these six-legged engineers in next-generation Earth system models, the team concludes, is essential for predicting how the planet’s soils will store — or release — carbon as the climate warms.

Subject of Research: Integrating termite-mediated decomposition into global soil organic carbon and greenhouse gas models

Article Title: Ideas and perspectives: Beyond microbes – integrating termites into global soil carbon cycling models

Article References: Farooq, U., Pasut, C., Wang, Y.-P., Zanne, A. E., Flores-Moreno, H., Wijas, B. J., Forrester, D. I., England, J. R., Macdonald, B., Brown, Z. A., & Karunaratne, S. (2026). Ideas and perspectives: Beyond microbes – integrating termites into global soil carbon cycling models. Biogeosciences, 23(19), 7029-7041. https://doi.org/10.5194/bg-23-7029-2026

Image Credits: AI Generated

DOI: 10.5194/bg-23-7029-2026

Keywords: termites, soil organic carbon, carbon cycle, decomposition, methane, carbon dioxide, tropical ecosystems, savannas, Earth system models, climate feedbacks, biogeosciences, detritivores

The research, led by Xiaoyu Fang and Chao Zhang of Northwest A&F University together with colleagues from the Chinese Academy of Sciences, examined sixty sites spanning three contrasting grassland types: alpine meadow, alpine steppe, and alpine desert steppe. These ecosystems form a natural aridity gradient across the plateau, moving from relatively moist, plant-rich meadows to harsh, water-limited desert steppes where vegetation is sparse and soils are thin. By sampling across this gradient, the team could ask a deceptively simple question: does the link between how efficiently microbes use carbon and how much organic carbon the soil actually holds hold true everywhere, or does it depend on where you look?

The answer, published online on 3 October 2026, is that it depends dramatically. Soil organic carbon declined by a striking 84.1 percent from alpine meadow to alpine desert steppe, reflecting the shrinking inputs of plant litter that fuel carbon accumulation in wetter systems. Yet microbial carbon use efficiency moved in the opposite direction, nearly doubling along the same gradient. In other words, the driest, most carbon-poor soils hosted microbial communities that were, in a narrow physiological sense, the most efficient. The microbes were doing more with less, even as the carbon bank beneath them emptied out.

This inverse pattern is not merely a curiosity of plateau ecology. It strikes at the heart of the Microbial Efficiency-Matrix Stabilization framework, an influential idea in soil science holding that carbon stabilized in soil depends on both the efficiency with which microbes process plant inputs and the capacity of soil minerals to protect the resulting microbial residues. Recent global syntheses, including a prominent 2023 analysis in Nature, have argued that microbial carbon use efficiency promotes soil carbon storage worldwide, and modeling efforts increasingly build this parameter into land-surface models used to project climate futures. If the efficiency-to-storage link is not universal, those projections may carry hidden errors in dry regions.

To probe where the relationship held and where it failed, the researchers quantified soil organic carbon and estimated microbial carbon use efficiency using an ecoenzymatic stoichiometric model, an approach that infers microbial carbon allocation from the activities of carbon-, nitrogen-, and phosphorus-acquiring extracellular enzymes. This method, while widely used, estimates the stoichiometric balance of microbial growth relative to respiration rather than tracking carbon atoms directly, and the authors situate their results within an ongoing methodological debate about how best to measure efficiency in soils. What the model revealed was a gradient of coupling: the relationship between efficiency and soil organic carbon was significantly negative in alpine meadows and alpine steppes, but vanished entirely, or decoupled, in the alpine desert steppe.

The negative sign of the relationship in the wetter systems is itself instructive. In alpine meadows, where plant productivity is high and organic carbon accumulates abundantly, the factors that favor carbon storage, such as plentiful plant biomass and favorable climate, tend to coincide with lower microbial efficiency, perhaps because abundant, labile substrates allow microbes to afford the luxury of rapid respiration. In alpine steppes, the team identified belowground biomass, the mass of roots threading through the soil, as a particularly important shared control: greater root biomass promoted soil organic carbon while simultaneously reducing microbial carbon use efficiency. A single ecological variable was pushing the two quantities in opposite directions, tightening the negative coupling.

In the alpine desert steppe, however, even this inverse relationship dissolved. The controls on efficiency and the controls on carbon storage diverged almost completely. Dissolved organic nitrogen, the small pool of readily available nitrogen compounds in soil solution, emerged as an important influence on microbial carbon use efficiency, while soil pH and the composition of the fungal community ranked among the major controls of soil organic carbon. When the sets of factors governing two variables no longer overlap, the variables themselves can drift apart, and that is precisely what the data show. Efficiency in the desert steppe reflects microbial nutrient physiology; carbon storage reflects geochemistry and fungal ecology, and the two speak different languages.

The broader implication, as the authors frame it, is that microbial carbon use efficiency is not a consistent predictor of soil organic carbon storage, because the overlap between their controlling factors varies across grassland types. Aridity appears to progressively separate microbial carbon allocation from ecosystem carbon storage. As water becomes scarce, plant productivity collapses and carbon inputs dwindle, while microbial communities reorganize around nutrient scarcity and stress tolerance, potentially investing more of the limited carbon they capture into biomass to survive. The result is a microbial physiology that looks increasingly efficient on paper while the soil around it grows steadily poorer in organic carbon.

For climate modelers, the finding lands at an uncomfortable moment. Soil holds more carbon than the atmosphere and vegetation combined, and small shifts in its stability translate into large feedbacks on atmospheric carbon dioxide. Earth system models are only beginning to represent microbial physiology explicitly, and the parameters they use, including carbon use efficiency, are often calibrated from datasets that blend ecosystems of very different character. The new results suggest that a single global value, or even a smooth climatic function, may misrepresent drylands, where the coupling between microbial traits and carbon storage appears weakest. The authors point to soil-plant-microbial interactions as the essential unit of analysis for predicting terrestrial carbon dynamics under global environmental change, rather than microbial physiology alone.

The study also carries a warning for the Qinghai-Tibetan Plateau itself, a region warming faster than the global average and experiencing shifting precipitation patterns. If aridity intensifies across the plateau, alpine meadows may trend toward the steppe and desert-steppe conditions documented here, weakening the very linkages that currently tie microbial activity to carbon accumulation. The raw sequence data underpinning the work, covering bacterial 16S rRNA genes and fungal internal transcribed spacer regions, have been deposited in public archives, allowing other researchers to test whether the decoupling the team observed is a plateau phenomenon or a preview of what aridifying soils worldwide will do. Either way, the message is clear: the microbes that govern Earth’s soils cannot be counted on to follow the carbon rules we wrote for them.

Subject of Research: The relationship between microbial carbon use efficiency and soil organic carbon across alpine grassland types on the Qinghai-Tibetan Plateau

Article Title: Decoupling of microbial carbon use efficiency and soil organic carbon across alpine grassland types

Article References: Fang, X., Lei, S., Zhang, L., Song, Z., & Zhang, C. (2026). Decoupling of microbial carbon use efficiency and soil organic carbon across alpine grassland types. Plant and Soil. https://doi.org/10.1007/s11104-026-09156-5

Image Credits: AI Generated

DOI: 10.1007/s11104-026-09156-5

Keywords: microbial carbon use efficiency, soil organic carbon, alpine grasslands, Qinghai-Tibetan Plateau, aridity, soil microbiology, carbon cycle, ecoenzymatic stoichiometry, fungal community composition, belowground biomass, soil pH, climate feedbacks