The technical core of the argument rests on a systematic comparison of public financial flows. Between 2013 and 2025, the authors report, more than 90 percent of Brazilian rural credit went to medium- and large-scale producers, while less than 10 percent reached smallholders through programs such as the National Program for Strengthening Family Farming, known as PRONAF. In the 2024/2025 agricultural year alone, roughly US$148.75 billion was allocated to large-scale producers, compared with just US$15.32 billion for family farming. The disparity becomes even sharper when the analysis narrows to socio-environmental credit lines covering agroecology, bioeconomy, and forestry: in the 2023/2024 agricultural year, these lines accounted for a mere 4.3 percent of PRONAF’s total credit volume and only 0.4 percent of all agricultural credit in the country.

The asymmetry extends well beyond credit markets. Public investment in research and development has consistently prioritized commodity supply chains, with Brazil’s public research institutions concentrating on productivity gains for large-scale agricultural value chains rather than on the diverse products of the standing forest. Infrastructure spending follows the same logic, focused on export logistics such as railways, ports, and waterways that move soy, beef, and grain to international markets. Under the New Growth Acceleration Program launched in 2023, the authors calculate that US$13.29 billion has been directed toward transport infrastructure oriented to commodity flows, with no provisions for supporting traditional territories or sociobiodiversity value chains.

Research funding tells a parallel story. The Brazilian Agricultural Research Corporation, EMBRAPA, which primarily serves commodity production, received US$951.85 million in 2024. By contrast, the National Agency for Technical Assistance and Rural Extension, ANATER, which supports family farmers, received just US$14.22 million in the same period, equivalent to only 1.5 percent of EMBRAPA’s budget. For the authors, these figures reveal a political economy in which the institutions and sectors with the greatest capacity to shape land use are those most heavily subsidized, while the forest-compatible alternatives that could anchor a low-carbon rural economy are left to rely on international cooperation and civil society organizations.

The environmental consequences of this configuration are quantifiable and severe. According to the Brazilian Greenhouse Gas Emission Estimation System, agribusiness directly accounted for 27.5 percent of Brazil’s greenhouse gas emissions in 2023, while land-use change driven by agricultural expansion contributed an additional 46.2 percent. Together, that means more than 70 percent of the country’s national emissions trace back to the sectors that receive the bulk of public support. The authors describe this as the central contradiction of Brazilian development policy: the activities most heavily financed by the state are also those most responsible for environmental degradation, creating a feedback loop in which public money reinforces the very pathway the country’s climate commitments require it to abandon.

Against this model, which the authors label a high-carbon configuration in their schematic analysis, they contrast an alternative built on what they call sociobiodiversity: economies rooted in low-carbon production, traditional knowledge, community governance, and the sustainable use of biodiversity. Across the Amazon, community-led initiatives ranging from agroforestry systems to managed fisheries have demonstrated the capacity to reconcile conservation with income generation. Previous research cited in the article, including studies of sustainable-use protected areas and community-based fisheries management, has shown that these arrangements can catalyze enhanced livelihoods while exerting a substantial protective footprint over forested landscapes. The authors argue that these models combine conservation, regeneration, and governance in ways that commodity production cannot.

Yet the sociobioeconomy remains what the authors describe as potential without scale. Its expansion is constrained by a familiar set of structural barriers: limited access to credit, inadequate infrastructure, weak market integration, the absence of payments for ecosystem services, and insufficient policy support. Even targeted programs for family farming allocate only a small fraction of resources to biodiversity-based production. As a result, sociobioeconomy initiatives often operate under conditions of financial precarity, depending on underpaid labor or the support of nonprofit organizations. This precariousness, the authors warn, undermines long-term viability, discourages the engagement of younger generations, and generates what they term social and ecological fatigue in the communities that sustain the forest. The problem, they emphasize, is not the absence of viable alternatives but the lack of sustained investment and institutional support to enable their growth.

The timing of the analysis is significant. The United Nations Climate Change Conference, COP30, held in Belém in November 2025, elevated forests, adaptation, and climate finance on the global agenda, and the approval of the Tropical Forest Forever Facility reflected growing international recognition that standing forests require long-term economic incentives. The facility, with projected returns of US$3 to 4 billion per year, could provide modest but stable support to forest-dependent communities. However, the authors caution that COP30’s outcomes were largely political statements rather than structural changes, and that the projected TFFF returns remain small compared with the domestic subsidies that continue to expand agricultural frontiers. They conclude that the facility should be understood as complementary to, rather than a substitute for, a fundamental rebalancing of national priorities.

What would that rebalancing look like in practice? The authors argue that a transition toward a low-carbon sociobioeconomy requires political and financial commitments comparable to those enjoyed by agribusiness. This includes redirecting public credit toward biodiversity-based production, investing in infrastructure adapted to forest territories rather than export corridors, expanding technical assistance for small producers and extractive communities, and strengthening community-based governance. Equally important, they stress, is the question of political representation. Decision-making power in Brazil’s Congress, which approves the federal budget and enacts and amends the laws governing land use, remains skewed toward sectors with strong economic influence. Currently, 63 percent of federal deputies, 324 of 513 members, are affiliated with the Agribusiness Parliamentary Front, while only four representatives are Indigenous.

The authors close with a pointed reframing of the Amazon debate. Sociobioeconomy initiatives, they argue, are already delivering evidence on the ground that it is possible to combine biodiversity conservation, climate mitigation and adaptation, Indigenous rights, and local socioeconomic development. The region does not lack solutions; it lacks the political conditions and policy support to scale them up. The future of the Amazon, they contend, will be shaped not by global discourse but by national and local choices, and transforming the region’s development model requires moving beyond the symbolic recognition of forest-based economies toward their effective material support. Only when benefits, decision-making power, and opportunities are equitably distributed among the Indigenous Peoples, traditional communities, and local populations who sustain these territories, they conclude, can Brazil reconcile economic development with social justice, the protection of sociobiodiversity, and climate stability, positioning the sociobioeconomy as a central pillar of an inclusive, low-carbon national development strategy.

Subject of Research: Rebalancing public investment from Amazon commodity agribusiness toward community-based sociobiodiversity economies

Article Title: From Commodities to Communities: Rebalancing public investment in the Amazon sociobiodiversity

Article References: Paes, M. X., Campos-Silva, J., Vieira, L. M., & Puppim de Oliveira, J. A. (2026). From Commodities to Communities: Rebalancing public investment in the Amazon sociobiodiversity. PLOS Climate, 5(8), e0001029. https://doi.org/10.1371/journal.pclm.0001029

Image Credits: AI Generated

DOI: 10.1371/journal.pclm.0001029

Keywords: Amazon, sociobiodiversity, bioeconomy, Brazil, rural credit, deforestation, agribusiness, climate finance, COP30, Indigenous peoples, community governance, tropical forests

The core difficulty the researchers faced is philosophical as much as technical. Substitution, by its nature, can never be directly observed, because it only exists relative to a counterfactual: a version of history in which the substitute product was never produced, or produced at a different rate. Econometric studies can measure how markets responded to past price shocks, but they cannot answer the fundamental question of what would have happened had a product simply not existed. Life cycle assessment, the standard tool for comparing the environmental footprints of products, sidesteps the problem entirely by implicitly assuming perfect substitution—that one unit of product A displaces exactly one unit of product B—without ever measuring whether markets actually behave that way. Prior attempts to estimate displacement rates across various sectors have produced averages of roughly 40 to 60 percent, but with enormous variation and deep uncertainty rooted in the price elasticities that drive the calculations.

To break through this impasse, the team adopted system dynamics modeling, a simulation technique that represents a system’s behavior through feedback loops rather than static statistical correlations. Their model, named SubText, covers the three fiber categories that together account for more than 90 percent of the global fiber market: synthetic fibers, represented by polyester, which makes up 85 percent of synthetics; regenerated cellulosic fibers, represented by viscose, which accounts for 90 percent of that category; and cotton. The model is built on conventional microeconomic supply and demand equations, with demand responding to prices, income, and population, and supply responding to prices, feedstock availability, and feedstock costs. The crucial innovation lies in the inclusion of empirically estimated cross-price elasticities, which capture how strongly the consumption of one fiber responds to price changes in competing fibers—the higher the cross-price elasticity, the closer the substitutes.

The model’s architecture reflects the peculiar dynamics of the textile market. Balancing feedback loops link price to demand, price to supply, and price to profit to production capacity, generating the oscillating behavior typical of commodity markets. A single reinforcing loop transmits substitution effects between fiber pairs through their mutual prices. The researchers also introduced parameters rarely seen in market models, including an elasticity for the share of fast fashion, which serves as a proxy for a production strategy emphasizing quantity over quality, and a supply constraint for cotton that reflects the fact that the land area devoted to cotton cultivation has remained nearly unchanged for decades. Supply in the model is pushed by feedstock availability: crude oil extraction for synthetics, cotton seed harvest for cotton, and pulpwood harvest for cellulosic fibers. Time delays of one to two quarters for supply adjustments and a 22-year average mill lifetime for capacity divestments complete the picture of a market that responds sluggishly and asymmetrically to shocks.

The calibration process is where the approach earns its credibility. The researchers first assigned plausible parameter values from the literature and expert judgment, then ran a Powell optimization procedure with up to 5,000 iterations per variable to minimize the mismatch between modeled and statistical production and price data for the period 2004 to 2021. The model successfully reproduced long-term trends for all three fibers, smoothing out only the price peaks caused by extreme shocks. This calibration to historical data is what allows the method’s most novel step: recreating alternative histories. In scenarios P1 through P3, the researchers simulated the past development of the market with one of the three fibers effectively removed, comparing the resulting trajectories against the actual historical baseline. The difference between the two reveals, for the first time in a calibrated framework, how much the remaining fibers would have expanded had one competitor never grown.

The results are striking. The strongest substitution effect ran between regenerated cellulosic fibers and cotton: had viscose production not increased since 2004, 32 percent of that unrealized increase would have been compensated by higher cotton production, accompanied by a higher cotton price. In the forward-looking scenarios, a one-unit increase in cellulosic fiber production led to a 31 percent reduction in cotton production, closely matching the backward-looking estimate. Every other substitution pair produced far weaker effects, with a maximum of 8 percent displacement in supply-shock scenarios. Cotton proved the most responsive fiber overall, likely because it is the most commoditized of the three, while synthetics and cellulosics—still in the growth phase of their product life cycles—barely reacted to market shocks. Most tellingly, synthetics appeared almost completely isolated from the other fibers: changes in the production and price of cotton or viscose had essentially no effect on polyester output.

The environmental implications follow directly from these modest displacement rates. When the researchers recalculated displacement factors using their empirical rates instead of the conventional one-to-one assumption, the picture darkened considerably. Because a unit increase in one fiber displaces at most a third of a unit of another fiber, the majority of any supply increase simply adds to total consumption rather than replacing anything. When the researchers combined these empirical displacement rates with cradle-to-gate life cycle inventory data from ecoinvent, the global warming potential flipped from a net avoided emission to a net caused emission in all applicable substitution cases. The only exception was cellulosic fibers substituting for cotton, where the displacement rate was high enough to preserve avoided impacts in marine and terrestrial eutrophication, water use, and freshwater ecotoxicity. In every other case and most impact categories, expanding the supply of the supposedly greener fiber increased the sector’s overall environmental load.

The sensitivity analysis reinforced both the strengths and the limits of the method. The backward-looking scenarios proved remarkably stable, because any alternative parameterization would have degraded the fit between modeled and observed historical data, providing a built-in check against arbitrary assumptions. The forward-looking scenarios, by contrast, remained volatile, sensitive to the growth trajectory of fast fashion—which the researchers identified as the single largest source of variance—and prone to nonlinear responses when supply constraints or profitability thresholds were hit. Notably, without incorporating the fast fashion effect, the model’s baseline production would have fallen 47 percent short for synthetics, 45 percent for cellulosics, and 13 percent for cotton by 2021, suggesting that the explosive growth of cheap, disposable fashion, along with population and income growth, drives fiber production far more than any substitution dynamics do.

The authors are careful to frame their estimates as orders of magnitude rather than precise numbers, and to note that displacement rates are specific to the period, region, and market structure studied. Still, the broader message is hard to escape. For bioeconomy strategies that lean heavily on substitution as a pathway away from fossil resources, the textile case delivers a sobering verdict: the fossil-based synthetic fiber market is almost completely insulated from the production of alternative fibers, and cellulose-based fibers mostly substitute for each other rather than for polyester. Policies that encourage supply growth, such as subsidy schemes for novel fibers, are therefore unlikely to reduce the sector’s environmental footprint on their own. The researchers argue that alternative pathways—emission pricing, feedstock supply quotas, and measures targeting the overconsumption fueled by fast fashion—deserve far more attention, and that the alternative-history simulation method they pioneered should now be replicated across other sectors to test how widely these conclusions hold.

Subject of Research: Quantifying displacement rates and substitution dynamics among cotton, synthetic, and regenerated cellulosic textile fibers using system dynamics simulation

Article Title: Quantifying the unquantifiable: simulation of displacement rates among textile fibers

Article References: Hurmekoski, E., & Boiger, T. (2026). Quantifying the unquantifiable: simulation of displacement rates among textile fibers. Journal of Industrial Ecology. https://doi.org/10.1007/s44498-026-00161-6

Image Credits: AI Generated

DOI: 10.1007/s44498-026-00161-6

Keywords: substitution, displacement rate, textile fibers, system dynamics, life cycle assessment, fast fashion, cotton, viscose, polyester, counterfactual scenarios, industrial ecology, bioeconomy

The review, written by Elisabeth Tamayo, Felix Bachmann, Tian Cheng, Tim K. Felle, Marcello Nussbaumer, and J. Philipp Benz of the Professorship of Fungal Biotechnology in Wood Science at the Technical University of Munich, synthesizes literature insights with exploratory genomic and bibliometric meta-analyses. The team’s goal was to provide an integrative view that connects what can be seen with the naked eye, the characteristic rot patterns and colonization structures on wood, with the molecular machinery operating at the scale of enzymes, transporters, and metabolites. This dual perspective matters because the same biological capabilities that make these fungi indispensable for global nutrient cycling also make them formidable threats to forests, timber products, and even human health.

The evolutionary backstory is dramatic. When lignin evolved in the Devonian, plants gained a structural material of unprecedented rigidity and decay resistance. The consequence was visible in the geological record: vast quantities of organic carbon accumulated during the Carboniferous period, roughly 360 to 299 million years ago, eventually forming the coal reserves that powered the industrial revolution. Lignin was so recalcitrant that dead plant matter piled up faster than anything could break it down. Then fungi evolved enzymatic systems capable of cleaving lignin’s complex aromatic polymer, opening up wood as a carbon source and fundamentally changing how carbon flows through ecosystems. Without this fungal innovation, the authors note, the planet’s biogeochemical cycles would look radically different today.

Wood-degrading fungi are conventionally divided into functional groups based on the decay patterns they produce. Brown rot fungi preferentially degrade the cellulose and hemicellulose in wood while leaving the brown, modified lignin behind, a process that can proceed through highly reactive oxidative mechanisms rather than relying solely on hydrolytic enzymes. White rot fungi, by contrast, are the only organisms known to fully mineralize lignin, using powerful oxidative enzyme systems to dismantle the aromatic polymer along with the wood’s polysaccharides. Soft rot fungi, which thrive in wetter and more extreme environments, attack wood more slowly and with less enzymatic sophistication. Each strategy reflects a different evolutionary solution to the same problem: extracting energy and carbon from the most resistant biological composite nature has produced.

At the molecular level, the review emphasizes that wood degradation is far more than a simple cocktail of secreted enzymes. Fungi deploy coordinated systems involving oxidative enzymes, small metabolites that generate reactive oxygen species, membrane transporters that shuttle degradation products into the cell, and regulatory networks that sense the substrate and adjust the enzymatic arsenal accordingly. Genomic analyses have revealed that the genetic capacity for wood decay is distributed unevenly across the fungal tree of life, with different lineages expanding or losing gene families for ligninolytic peroxidases, lytic polysaccharide monooxygenases, and sugar transporters. Understanding these genetic underpinnings is not merely academic curiosity; it directly informs how researchers might harness or inhibit these organisms.

The threat side of the story is substantial. In forests, pathogenic wood-decay fungi can weaken living trees, creating hazards in urban environments and causing economic losses in forestry. In the built environment, fungal colonization of structural timber is a persistent problem, and studies of how fungi attack wood in buildings have expanded mechanistic understanding of their natural behavior, revealing how hyphae navigate wood anatomy, penetrate cell walls, and respond to moisture and treatment chemicals. The review also points to health risks, since fungal growth in damp buildings can produce spores and volatile compounds that affect indoor air quality. The duality is familiar from the food industry, where fungi serve as fermentation agents, protein sources, and producers of food colorings while simultaneously posing risks through mycotoxin contamination.

Yet the same organisms that rot beams and kill trees are among the most promising biotechnological resources of the emerging bioeconomy. The enzyme systems that white rot fungi use to degrade lignin are being explored for sustainable biomass conversion, turning agricultural and forestry residues into platform chemicals, biofuels, and materials. Fungal enzymes offer routes to biological pulping that could reduce the energy and chemical intensity of paper production. Fungal metabolites and modified lignins themselves are candidates for novel materials, and the review’s authors are involved in applied projects, including work funded through the German REGULUS-project ISAR and the Bavarian 3DfunSiC project, that translate fungal biology into technological applications. The transporters and regulatory circuits that fungi use to import wood sugars are equally relevant for engineering microbial production strains.

What makes the review particularly valuable is its insistence on integration. Macroscopic observations, the softening, discoloration, and fracture patterns of decayed wood, are traditionally studied by wood scientists, while the molecular details are the domain of microbiologists and biochemists. The authors argue that meaningful progress requires connecting these scales, using genomic and literature meta-analyses to identify patterns that neither field can see alone. Their exploratory database analyses provide a holistic map of what is known and, crucially, what is not. Gaps remain in understanding how fungal communities interact during decay, how environmental conditions shape the expression of decay mechanisms, and how the diversity of uncharacterized fungal species might harbor undiscovered enzymatic capabilities.

The timing of such a synthesis is significant. As societies seek to replace fossil carbon with renewable resources, wood is poised to play a larger role in construction, materials, and chemistry, which raises the stakes for both protecting wood from fungal attack and exploiting fungi for wood-based biorefineries. Climate change adds another layer of urgency, as shifting temperature and moisture regimes may alter the distribution and activity of decay fungi in forests, affecting carbon storage in soils and deadwood. A deeper mechanistic understanding of wood-degrading fungi is therefore not a niche concern but a prerequisite for managing one of the planet’s largest carbon reservoirs and for building a sustainable materials economy on top of it.

The message of the Munich team is ultimately one of humility and opportunity. Fungi that learned to eat the most resistant material on Earth hundreds of millions of years ago are still revealing their secrets, and the remaining unknowns span ecology, evolution, biochemistry, and engineering. By framing wood-degrading fungi as simultaneously threats and assets, the review invites researchers, industry, and the public to see these organisms not as mere agents of rot but as master chemists whose enzymatic legacy built the modern carbon cycle and may yet help redesign it. The coal seams of the Carboniferous are a monument to what happened before fungi cracked lignin; what happens next depends on how well we learn from the organisms that did.

Subject of Research: Mechanisms, ecological threats, and biotechnological applications of wood-degrading fungi

Article Title: What we (still don’t) know about wood-degrading fungi: an overview of threats and utilization potentials

Article References: Tamayo, E., Bachmann, F., Cheng, T., Felle, T. K., Nussbaumer, M., & Benz, J. P. (2026). What we (still don’t) know about wood-degrading fungi: an overview of threats and utilization potentials. Applied Microbiology and Biotechnology, 110(1), Article 289. https://doi.org/10.1007/s00253-026-14043-1

Image Credits: AI Generated

DOI: 10.1007/s00253-026-14043-1

Keywords: wood-degrading fungi, lignin, brown rot, white rot, fungal evolution, wood degradation, biorefinery, fungal enzymes, carbon cycle, bioeconomy, mycology, biotechnology

The research, led by Andrii Dankevych of the National University of Food Technology in Kyiv together with colleagues from Ukraine, Lithuania and Uganda, set out to test whether sunflower husk ash, or SHA, could serve as a genuine secondary mineral resource within a circular economy. The logic is elegantly simple. Sunflower plants draw potassium, phosphorus, calcium, magnesium and sulfur out of the soil as they grow. When the husks are burned for energy, those minerals are not destroyed; they are concentrated in the ash. Returning that ash to farmland effectively closes a nutrient loop that industrial agriculture has traditionally left wide open, sending minerals off-site and replacing them with mined, energy-intensive synthetic fertilizers.

The chemistry of the ash-based fertilizer is central to the story. According to the study, the SHA fertilizer contained 30 percent potassium oxide, 5 percent phosphorus pentoxide, 9 percent calcium oxide, 10 percent magnesium oxide and 4 percent sulfur. Notably, it contained no chlorine at all. That composition matters for two reasons. First, the high potassium fraction makes it a credible alternative or supplement to conventional potash fertilizers, which are among the most geopolitically sensitive and price-volatile inputs in modern farming. Second, the absence of chloride is an advantage for crops such as potato, tomato and cucumber, which are known to be sensitive to chloride accumulation in soil.

To test the fertilizer under real field conditions rather than in pots or greenhouses, the team conducted experiments during one growing season at the Slobozhanske Experimental Field of the National Scientific Center O.N. Sokolovsky Institute for Soil Science and Agrochemistry Research in Ukraine. The soil was a typical heavy loam chernozem, the famously fertile black earth that underpins much of Eastern Europe’s agricultural output. Seven crops were evaluated side by side: barley, maize, sunflower, potato, tomato, table beet and cucumber. Each crop occupied a plot of 0.1 hectares, allowing the researchers to observe how the ash-based fertilizer performed across a genuinely diverse rotation of cereals, oilseeds, tubers and vegetables.

The experimental design compared four treatments for each crop: an unfertilized control, a conventional NPK 16:16:16 mineral fertilizer, and the SHA-based fertilizer applied at two rates, 200 and 300 kilograms per hectare. The ash fertilizer was delivered in two ways, as a basal application and during pre-sowing cultivation, so the researchers could see whether timing and placement influenced performance. Yield, soil agrochemical properties and selected quality parameters of the harvested products were then measured, and the data were processed using descriptive and comparative statistical methods, including arithmetic means and absolute and relative differences between treatments.

The headline result is that plots treated with the SHA-based fertilizer yielded approximately 10 to 18 percent more than the unfertilized controls. Just as important for long-term soil health, the content of mobile phosphorus and exchangeable potassium in the soil rose by roughly 10 to 22 percent following treatment. Soil pH shifted by approximately 0.3 to 0.5 units, a change consistent with the liming-like effect of the calcium and magnesium oxides in the ash, which can help buffer acidity in intensively farmed soils. Beyond quantity, the researchers also recorded improvements in quality parameters of the produce itself, including higher dry matter, protein and fat content in the harvested crops, suggesting that the ash-derived nutrients were genuinely feeding the plants rather than merely sitting in the soil.

The authors are careful, and rightly so, about the limits of what a single-season, single-site trial can prove. Because all the data came from one growing season at one experimental station, the results reflect the specific soil, climatic and experimental conditions of the study and should be interpreted descriptively rather than as statistically significant effects. That caveat is standard scientific caution, but it is also a roadmap: the team explicitly calls for further studies in different natural and climatic zones and on soils with different properties to establish whether the yield gains and soil improvements hold up more broadly. Multi-year trials would also be needed to confirm that repeated ash application does not lead to unwanted accumulations of trace elements, a question that remains open for many waste-derived fertilizers.

Even with those caveats, the scale of the opportunity is hard to ignore. Ukraine is one of the world’s largest sunflower producers, and the husk that remains after oil extraction is widely burned in boilers as biomass fuel. That combustion, while renewable in energy terms, produces ash streams exceeding 100 thousand tonnes per year that currently must be landfilled or otherwise disposed of, at cost to processors and with no agronomic return. If even a fraction of that ash were diverted into fertilizer production, it would simultaneously reduce waste disposal volumes, displace demand for imported or mined potassium and phosphorus, and return nutrients to the very fields that grew the crop. This is the circular economy in its most literal form: minerals harvested from the soil, used in processing, burned for energy, and then sent home again.

The study also carries broader implications for the bioeconomy beyond Ukraine. Sunflower is grown commercially across Europe, the Black Sea region, Argentina and elsewhere, and husk ash is a ubiquitous by-product of the oilseed industry wherever husks are used as fuel. The Ukrainian findings provide initial field evidence that this ash stream, rather than being a niche curiosity, can function as a standardized fertilizer input with a defined nutrient profile. Because the ash is essentially a concentrated, chlorine-free potassium source with secondary phosphorus, calcium, magnesium and sulfur, it could be blended or granulated with other materials to create tailored formulations for chloride-sensitive crops, organic-adjacent production systems, or regions where conventional potash supplies are expensive or unreliable.

What makes the work resonate beyond agronomy is its framing of waste as a design flaw rather than an inevitability. The researchers argue that valorizing sunflower processing residues can contribute to added value, increased agricultural production and the implementation of environmental initiatives all at once, turning a disposal liability into a revenue stream and a soil amendment in a single move. As fertilizer prices remain volatile and the environmental footprint of synthetic nutrient production draws increasing scrutiny, studies like this one point toward a pragmatic middle path: not a rejection of mineral fertilizers, but a smarter, more circular sourcing of them. The next seasons of field trials will determine whether sunflower husk ash can graduate from promising one-site evidence to a dependable ingredient of sustainable agriculture. For now, the message from the chernozem of eastern Ukraine is clear: the minerals that leave the farm in a sunflower seed do not have to be gone for good.

Subject of Research: Use of sunflower husk ash as a secondary mineral resource for fertilizer production in circular-economy agriculture

Article Title: Agricultural waste valorization in the circular economy using sunflower husk ash as a secondary resource

Article References: Dankevych, A., Nitsenko, V., Dankevych, V., Ogbu, E. F., Lastauskaitė, A., & Kapelista, I. (2026). Agricultural waste valorization in the circular economy using sunflower husk ash as a secondary resource. Discover Sustainability. https://doi.org/10.1007/s43621-026-04879-y

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04879-y

Keywords: sunflower husk ash, circular economy, agricultural waste valorization, fertilizer, crop yield, soil nutrients, chernozem, potassium, biomass energy, sustainable agriculture, Ukraine, bioeconomy

Researchers led by Bogomil Iliev of the University of Copenhagen, together with colleagues at the Basque Centre for Climate Change and the University of Copenhagen, built an integrated monetary-physical input–output framework for Sweden. The innovation lies in running two parallel, harmonised accounts: a monetary supply-use table capturing the entire Swedish economy across more than 430 product groups and 98 industries, and a physical supply-use table that tracks wood-containing flows—raw wood, processed products, energy, and waste—in tonnes of carbon. Because the two tables share a consistent product-industry structure, a single policy shock defined in monetary terms maps directly into physical wood flows, allowing economists and carbon accountants to read the same scenario in two languages.

On top of this accounting skeleton, the team layered dynamic carbon-stock modelling. Carbon stored in wood-based products evolves according to the IPCC’s first-order decay approach, in which each product category loses carbon at a rate determined by its half-life, from long-lived construction timber to short-lived paper. Forest carbon, meanwhile, is tracked through a bookkeeping method in which harvest deviations from a baseline trajectory translate directly into changes in the forest carbon pool. The framework thus produces, for every year between 2020 and 2040, estimates of value added, employment, production-based greenhouse gas emissions, and carbon stock changes in both forests and products.

The researchers simulated three stylised scenarios against a common baseline of two percent annual growth in final demand. The first scenario scaled up cross-laminated timber, or CLT, construction—a form of engineered wood that can substitute for concrete and steel in multi-storey buildings. The second redirected wood waste that would otherwise be incinerated into the manufacturing of new wood products. The third, called wood cascade, combined both strategies under a hard constraint: total roundwood harvest was held to its baseline path, with reduced pulp and paper demand absorbing the difference. All shocks were applied abruptly in 2020 and held constant, making the experiments counterfactual what-if probes rather than forecasts of realistic transitions.

The headline findings are striking. CLT construction delivered the strongest macroeconomic gains of the three strategies, raising national output by 17.8 billion Swedish kronor per year, value added by 5.1 billion kronor per year, and employment by about 8,500 jobs annually, while cutting production-based emissions by roughly 0.3 million tonnes of CO2-equivalent per year. Yet this apparent win came at a hidden cost: the intensified harvest needed to feed the new construction demand drew down the forest carbon pool faster than buildings could bank it. By 2040, the total system carbon balance under CLT construction was 63 million tonnes of carbon worse than the baseline—a net loss for the climate system even as the industrial economy gained.

Waste recycling produced more modest effects across the board. It increased value added by 4.3 billion kronor per year, had little effect on aggregate output, and yielded a positive but small system-carbon trajectory of about 7 million tonnes of carbon by 2040. The wood cascade scenario emerged as the quiet victor on the climate side. By combining CLT construction and recycling while constraining harvest through reduced pulp and paper production, it cut production-based emissions the most—roughly 528 thousand tonnes of CO2-equivalent per year—while keeping forest carbon on its baseline path and lifting the economy’s stored product carbon, for a cumulative system gain of about 33 million tonnes of carbon by 2040. Value added still rose, by 2.4 billion kronor per year, even though aggregate output declined slightly.

Because the forest-based economy accounts for only around six percent of national output and four percent of value added, the national percentages understate the scale of structural change. Applying the hypothetical extraction method, which measures the total direct and indirect contribution of a set of industries by removing them from the economy in a counterfactual calculation, the researchers show that a 0.09 percent national increase in value added under CLT construction corresponds to roughly a 2.1 percent increase relative to the forest sector’s own baseline contribution. The scenarios also shift the industrial geography of the sector: gains concentrate in wood products manufacturing, sawmilling, and forestry, while losses fall on non-metallic minerals, metal-related activities, and—under the cascade scenario, by design—the pulp and paper industry.

A Monte Carlo sensitivity analysis with 10,000 runs tested the robustness of these conclusions by perturbing construction cost coefficients, growth assumptions, product half-lives, and initial product carbon stocks. The economic gains of CLT construction proved consistently positive, but its negative system-carbon outcome held across the simulation under the study’s simplified forest-carbon formulation. Wood cascading retained the strongest climate effect, though its economic intervals spanned both negative and positive values, meaning the employment and value-added conclusions are far less certain. Uncertainty in carbon outcomes grew toward 2040, driven mainly by the growth path and initial stock assumptions.

The study is candid about its limits. The forest carbon module assumes constant annual growth, ignoring biological feedbacks between harvest intensity, age structure, and forest productivity—a simplification the authors show becomes problematic as harvest-to-increment ratios rise toward and beyond one, as they do in the CLT scenarios by around 2040. Emissions accounting covers only Swedish production, with fixed base-year emission coefficients and import shares, so it excludes embodied import emissions, future decarbonisation of the energy system, and market-mediated leakage. That last omission is significant: recent global modelling suggests roundwood harvest leakage rates of 40 to 60 percent and forest carbon leakage of 50 to 80 percent when Swedish production shifts to foreign suppliers, meaning global net effects could differ substantially from domestic ones.

Even with those caveats, the policy implications are pointed. Sweden’s forest industry has pledged to increase substitution effects by 20 million tonnes of CO2-equivalent annually by 2040, while national strategy also targets additional sequestration. The new results suggest these ambitions sit in tension unless wood-use incentives are explicitly linked to harvest levels consistent with maintaining the forest sink. The cascade pathway—prioritising long-lived products and recycled material within a fixed harvest envelope—offered the most coherent route to simultaneous economic and climate goals, but it implies real losses for pulp, paper, and mineral producers. The authors argue that substitution, sequestration, and circularity should be treated not as separate policy domains but as competing claims on a common forest resource, and that coordinated instruments spanning construction regulation, industrial restructuring, and demand-side measures will do more good than isolated substitution targets. As Europe’s forest sink weakens under rising harvest and mortality pressures, the Swedish case offers a warning and a template in equal measure: using more wood is not automatically climate policy, but using wood smarter might be.

Subject of Research: Integrated monetary-physical input–output modelling of wood-use scenarios and their economic and carbon impacts in Sweden

Article Title: Wood use scenarios in Sweden through integrated monetary-physical input–output framework

Article References: Iliev, B., Arto, I., Bentsen, N. S., de la Maza Larrea, A. S., & Thomsen, M. (2026). Wood use scenarios in Sweden through integrated monetary-physical input–output framework. Journal of Industrial Ecology. https://doi.org/10.1007/s44498-026-00188-9

Image Credits: AI Generated

DOI: 10.1007/s44498-026-00188-9

Keywords: bioeconomy, Sweden, forestry, carbon accounting, input–output analysis, cross-laminated timber, wood cascade, waste recycling, greenhouse gas emissions, forest carbon sink, circular economy, industrial ecology