ESIQ
Low Carbon & New EnergiesOctober 202614 min readESIQ Research

Sustainable Fertilizers in a Changing Climate: Can Farmers Balance Yield, Cost and Carbon?

The future of sustainable fertilizer is not simply about replacing one fertilizer with another – it is about optimizing nutrients, economics and carbon across the agricultural value chain.

Authored by Parvez Momin
Agricultural fields and sustainable fertilizer use in a changing climate

Fertilizers remain one of agriculture's most powerful productivity levers – and one of its most exposed cost and emissions lines. Nitrogen starts with ammonia, whose production accounted for roughly 2% of global final energy consumption and about 1.3% (≈450 Mt) of energy-system CO₂ emissions in 2020; around 70% of ammonia is used to make fertilizers [1]. Across manufacture, transport and field nitrous oxide (N₂O), the synthetic-nitrogen supply chain was estimated at 1.13 Gt CO₂e in 2018, about 2.1% of global greenhouse-gas emissions (global, modelled estimate) [2].

Price exposure is equally material. The World Bank's April 2026 Commodity Markets Outlook projected its fertilizer price index to rise by about 31% in 2026, led by urea, after Middle East shipping disruptions, and noted that natural gas accounts for 80–90% of ammonia production cost (global; forecast, not outturn) [5]. Meanwhile, organic farmland held broadly stable at 98.9 million ha in 2024 – about 2.1% of global agricultural land – while organic retail sales reached roughly €145 billion (global; reported) [6]. Soil-health programmes, food companies' Scope 3 targets and a changing climate – which can alter nutrient losses through leaching, volatilisation and denitrification, and shift the timing of crop uptake – add further pressure.

The question is therefore no longer “organic or chemical?” It is whether farmers can adopt more sustainable fertilizer strategies without compromising productivity or significantly raising costs, while also reducing carbon intensity. We frame this as The New Fertilizer Equation (Figure 1): yield, cost, nutrient efficiency, carbon and soil health evaluated together – per tonne of crop produced, not per tonne of fertilizer bought. The answer increasingly points to a portfolio of nutrient sources rather than a binary choice.

A. The New Fertilizer Equation
Yield
Cost
Nutrient efficiency
Carbon
Soil health
Value per tonne of crop – not price per tonne of fertilizer
B. The sustainable fertilizer spectrum (categories overlap; one product can sit in several)
Organic manures & composts
Bio-fertilizers
Recycled / circular nutrients
Naturally mined minerals
Enhanced-efficiency fertilizers
Low-carbon fertilizers (e.g. CCS)
Green-ammonia-based N
Biological / organic originIndustrial / mineral origin

Figure 1. The New Fertilizer Equation and the sustainable fertilizer spectrum. Conceptual framework; contains no quantitative data.

Key Takeaways
01

The synthetic-nitrogen supply chain was estimated at 1.13 Gt CO₂e in 2018, and natural gas makes up 80–90% of ammonia production cost – fertilizer is both a carbon and a price exposure.

02

“Sustainable fertilizer” spans organic, biological, recycled, mined, enhanced-efficiency and low-carbon nutrients; sustainability depends on how a nutrient is produced, matched and applied, not on its label.

03

Natural mineral and multi-nutrient fertilizers add value where S, Mg or Ca are limiting or crops are chloride-sensitive; lower concentration makes freight and delivered cost per useful nutrient decisive.

04

About two-thirds of nitrogen-fertilizer emissions occur after application, so nutrient-use efficiency is the strongest lever; cost and carbon should be measured per tonne of crop.

05

Lower-carbon production does not automatically mean cheaper fertilizer; scenario rankings shift with yield, NUE and the carbon value applied, pointing to a managed portfolio rather than a single replacement.

01

What Is a Sustainable Fertilizer?

“Sustainable fertilizer” is not one product class. It spans organic manures and composts, biofertilizers, recycled or circular nutrients (e.g., digestates, recovered struvite), naturally mined minerals, enhanced-efficiency fertilizers (inhibitor-treated or coated products), low-carbon fertilizers (e.g., ammonia with carbon capture) and green-ammonia-based nitrogen. These categories overlap: a mined sulfate mineral can be both natural and low-energy; green-ammonia urea can be applied in an enhanced-efficiency formulation. Sustainability is a property of how a nutrient is produced, matched and applied – not of its label alone.

Certification needs equal care

Some naturally occurring minerals are permitted in organic farming depending on the certification scheme, country and specific product. K+S, for example, states that PatentKALI and Magnesia-Kainit are approved under EU organic Regulations 2018/848 and 2021/1165 [13], and several langbeinite products are OMRI-listed in the United States. Being mined does not make a product organic-certified; status must be verified for each product, grade and jurisdiction.

02

Natural Mineral and Multi-Nutrient Fertilizers

Evaporite and sedimentary deposits supply several naturally sourced nutrient materials with distinct chemistry (Table 1). Polyhalite (K₂Ca₂Mg(SO₄)₄·2H₂O), mined in North Yorkshire and marketed as ICL Polysulphate and Anglo American POLY4, is primarily a sulfur source that also supplies K, Mg and Ca [11]. Langbeinite (K₂SO₄·2MgSO₄) supplies K, Mg and S; K-Mag and Sul-Po-Mag are commercial names for langbeinite-type products, but grades differ in guarantee, particle size and solubility and should not be treated as identical [12]. Korn-KALI and PatentKALI (K+S) are processed potash–magnesium fertilizers rather than single raw minerals: Korn-KALI is chloride-based with kieserite, PatentKALI is sulfate-based [13]. Kainite is a crude potash salt rich in sodium and chloride, suited to grassland and sugar beet but not to chloride-sensitive crops. Rock phosphate, greensand (glauconite) and gypsum are slower or narrower sources: rock phosphate carries substantial total P₂O₅ but low immediate availability, especially in neutral-to-alkaline soils; greensand's potassium is largely non-water-soluble; gypsum supplies Ca and S without raising soil pH [14].

Labels conventionally report nutrients as oxides (P₂O₅, K₂O, MgO, SO₃, CaO). Elemental contents are lower: K = 0.830 × K₂O; P = 0.436 × P₂O₅; Mg = 0.603 × MgO; S = 0.400 × SO₃; Ca = 0.715 × CaO. Polyhalite's 14% K₂O, 6% MgO, 48% SO₃ and 17% CaO, for instance, equal about 11.6% K, 3.6% Mg, 19.2% S and 12.2% Ca. Comparisons across products – and against crop removal – must use one consistent basis; elemental equivalents for all products are provided in the accompanying Excel file.

Fertilizer / materialNP₂O₅K₂OMgOSO₃CaOOther nutrients / notesMain nutrient roleBasis of values
Polyhalite (ICL Polysulphate; Anglo American POLY4)001464817Low chloride; trace BS-led K–Mg–Ca source; low chlorideDeclared commercial grade
Langbeinite, pure mineral (K₂SO₄·2MgSO₄)0022.719.457.90–K–Mg–S (theoretical reference)Theoretical (formula)
K-Mag / Sul-Po-Mag (commercial langbeinite)0021.5–22≈17.9–18.2≈550Low chloride (grade-dependent)K–Mg–S for Mg/S-deficient, Cl-sensitive cropsCommercial guarantees (Mosaic 2024)
Korn-KALI (K+S)0038–40612–12.50Na₂O ≈4 (older EU grade); KCl-basedHigh-K with Mg, S (Na); Cl-tolerant cropsMarket grades 38(+6+12) / 40(+6+4+12.5)
PatentKALI (K+S)00301042.5–440Sulfate-based, low chlorideK–Mg–S for Cl-sensitive crops (potato, fruit, veg)Commercial grade; varies slightly by market
Kainite (e.g., K+S Magnesia-Kainit)00948–90Na₂O 35–36; Cl ≈47K–Na–Mg for grassland, sugar beetSpecific commercial grade
Rock phosphate (ground / soft)0≈20–32 (total)0var.0High (varies)Low water solubility; F, trace elementsSlow P source; acid soilsTypical range; varies by deposit
Greensand / glauconite0≈1–2≈5–7 (total)var.0var.Fe, silicates, trace elementsVery slow K; soil conditionerTypical range
Gypsum (CaSO₄·2H₂O)0000≈42–46.5≈31–32.6–Ca and S without raising pH; sodic-soil amendmentAg. grade to pure (theoretical)

Table 1. Nutrient composition of selected natural mineral and multi-nutrient fertilizers (% by weight, oxide basis). Sourced data from manufacturer specifications and university extension references [11–14]; values are declared/typical and not independently tested. Ranges reflect different grades, markets or deposits; “theoretical” rows are calculated from mineral formulae; “≈” values are converted from elemental guarantees. Verify current specifications before use.

03

The Agronomic Value of the Nutrients

Each nutrient performs distinct functions (Figure 2A). Nitrogen drives vegetative growth, protein formation and biomass. Phosphorus supports root development, energy transfer (ATP) and reproductive development. Potassium regulates water relations and osmotic balance, underpinning stress tolerance and crop quality. Among secondary nutrients, magnesium is the central atom of chlorophyll and activates enzymes in photosynthesis; sulfur is a constituent of the amino acids cysteine and methionine, essential for protein synthesis and closely linked to nitrogen-use efficiency and to oil and protein quality in oilseeds and pulses; calcium builds cell walls and root and tissue structure and is largely immobile within the plant.

Secondary nutrients matter more as intensive, NPK-focused systems draw them down. In India, ICAR coordinated-project data reported to Parliament indicated that about 41% of soils were sulfur-deficient (national survey data, reported 2005) [16]; the Soil Health Card scheme now tests S alongside N, P and K and promotes balanced, integrated nutrient management [16]. Three distinctions matter when evaluating any product: nutrient supply (what the analysis contains), agronomic potential (whether those nutrients are limiting on a given field) and demonstrated field performance (replicated results under defined conditions). A product can supply a nutrient the crop does not need, and one positive trial does not establish a universal benefit.

Why multi-nutrient fertilizers matter

Multi-nutrient fertilizers combine several nutrients in one granule, which can simplify blending, reduce application passes and distribute low-rate secondary nutrients evenly. Where soils are deficient in more than one nutrient, supplying them together can relieve constraints that otherwise cap the return on nitrogen – sulfur deficiency, for example, limits the crop's use of applied N. Low-chloride sulfate forms are also relevant for chloride-sensitive crops such as potatoes, tobacco, fruit and many vegetables. Crop-specific formulation and logistics (one product, one supply chain) add operational value.

Polyhalite illustrates both promise and caveats (Figure 2B). Field studies at ICAR-IARI, New Delhi, reported higher agronomic efficiency, grain K and root growth when polyhalite replaced muriate of potash (MOP) as the K source in wheat in 2021–22 [15] – demonstrated performance under specific conditions, not a general yield guarantee. The trade-off is concentration: at 14% K₂O, polyhalite supplies far less K per tonne than MOP (≈60% K₂O), so its value depends on whether the accompanying S, Mg and Ca are agronomically needed and on delivered cost per unit of useful nutrient, including freight.

A. What each nutrient does
NNitrogen
Growth, protein, biomass
PPhosphorus
Roots, energy transfer (ATP), reproduction
KPotassium
Water regulation, stress tolerance, quality
MgMagnesium
Chlorophyll core, photosynthesis, enzymes
SSulfur
Protein synthesis, N-use efficiency, oil/protein
CaCalcium
Cell walls, root & tissue structure, development
Primary: N, P, K · Secondary: Mg, S, Ca
B. Multi-nutrient pathway (conceptual)
Natural mineral source(e.g. polyhalite, langbeinite)
Multiple nutrients in one granule(K, Mg, S, Ca)
Balanced nutrient application(soil-test based)
Crop uptake(release matched to demand)
Yield & quality response(site- and crop-specific)

Figure 2. N–P–K–Mg–S–Ca nutrient functions and the multi-nutrient pathway. Conceptual; functions summarise established plant physiology. The pathway does not imply a guaranteed yield response, which is site- and crop-specific.

04

Organic Farming and the Evolution of Nutrient Management

Interest is rising across organic, regenerative and broader sustainable systems, with shared emphases on soil organic matter, biological nutrient cycling, biofertilizers, nutrient recycling, natural minerals and, increasingly, precision application. Relying exclusively on low-concentration organic sources, however, raises practical constraints: nutrient concentrations are low and variable, so large tonnages must be transported and spread; release depends on microbial mineralisation, which may not coincide with peak crop demand; product consistency varies; and the scale of nutrient demand in high-yield systems can exceed locally available organic material.

The yield evidence is context-specific. A meta-analysis of 115 studies found organic yields on average about 19% lower than conventional, narrowing to roughly 8–9% where crop rotations or multi-cropping were used [7]; an earlier meta-analysis reported gaps from about 5% to 34% depending on crop and conditions [8]. Neither “organic always yields less” nor “organic always yields more” is supported; outcomes vary by crop, geography, soil and management. This motivates Integrated Nutrient Management (INM) (Figure 3): organic inputs + biofertilizers + natural minerals + efficient mineral fertilizers + precision application, guided by soil tests. India has long promoted INM through ICAR packages and soil-test-based recommendations [16]. We treat INM as an analytical framework – the right mix depends on soil, crop, climate, certification and farm economics – not as a universal prescription.

Organic inputs(manure, compost, residues)
Biofertilizers(N-fixers, P-solubilisers)
Natural minerals(K–Mg–S–Ca, rock P)
Efficient mineral fertilizers(incl. enhanced-efficiency)
Precision application(4R, soil tests)
INTEGRATED NUTRIENT MANAGEMENT – calibrated to soil, crop, climate and farm economics (a framework, not a prescription)
Yield & quality
Cost per t crop
Nutrient-use efficiency
Carbon intensity
Soil health

Figure 3. Integrated nutrient management framework. Conceptual framework; contains no quantitative data.

05

The Yield–Cost–Carbon Trade-off

Three dimensions interact. Yield determines productivity and food security; cost determines farm margins; carbon captures embodied and supply-chain emissions from fertilizer manufacture, transport and field use. Nutrient-use efficiency (NUE) links them: global cropland nitrogen-use efficiency has been estimated at about 0.4 – more than half of applied N is not recovered in harvested crops – and would need to rise to roughly 0.7 by 2050 to meet food and environmental goals [4]. Life-cycle analysis suggests about two-thirds of nitrogen-fertilizer emissions occur after application, making efficiency the single most effective lever, alongside decarbonised production [3]. Two ratios reframe the decision:

Fertilizer cost per tonne of crop = Fertilizer cost per hectare ÷ Crop yield per hectare
Fertilizer-related carbon intensity = Fertilizer-related emissions (t CO₂e/ha) ÷ Crop output (t/ha)

The cheapest fertilizer per tonne does not necessarily deliver the lowest cost per tonne of crop: a cheaper product that leaves a nutrient limiting, or is lost before uptake, raises cost per unit of output. These ratios are deliberately simple. They exclude application labour and machinery, multi-season soil-fertility and residual effects, price risk and quality premiums, and the emissions boundary (cradle-to-gate versus including field N₂O) must always be stated.

06

Scenario-Based Fertilizer Economics

We compare three illustrative scenarios for a sample cereal hectare (Figure 4; Table 2). Cost-first agriculture: conventional fertilizers remain competitive, carbon costs are limited and farmers optimise near-term economics. Carbon-constrained agriculture: carbon accounting matters, buyers reward lower-carbon inputs and low-carbon nitrogen gains commercial relevance at a premium. Integrated sustainable nutrient management: organic inputs, natural minerals, biofertilizers, enhanced-efficiency products, precision application and soil-health practices are combined.

Under the sample assumptions (fertilizer cost USD 250/310/280 per ha; yield 6.0/6.0/5.9 t/ha; fertilizer-related emissions 1.6/1.0/1.2 t CO₂e/ha), the cost-first case has the lowest fertilizer cost per tonne of crop (USD 41.7/t) but the highest fertilizer-related carbon intensity (0.27 t CO₂e/t). The carbon-constrained case cuts carbon intensity by 37.5% at a 24% cost premium; the integrated case sits between them, with a slightly lower sample yield. Applying a carbon value changes the ranking (Figure 4B): at zero, cost-first is cheapest; near USD 100/t CO₂e the three converge; above that, lower-carbon strategies become cheaper on a carbon-adjusted basis. The crossover point is an artefact of sample data – the insight is that rankings are sensitive to yield, NUE and the carbon value assumed.

ParameterCost-firstCarbon-constrainedIntegrated
Fertilizer economicsLowest near-term cost per ha; fully exposed to gas-price swingsPremium for low-carbon N unless offset by carbon value or buyer premiumsMixed: savings from efficiency and on-farm inputs; costs for minerals, advice and precision tools
Yield considerationsHigh where nutrition is balanced; risk of secondary-nutrient limitationBroadly neutral if agronomic practice is unchangedCan approach conventional where well managed; transition risk and wider variability
Nutrient efficiencyOften low; losses tolerated when N is cheapUnchanged unless paired with efficiency measuresHighest potential via 4R, soil testing and balanced nutrition
Carbon intensityHighest per tonne of cropLower production emissions; field N₂O largely remainsLower through reduced losses and substitution; depends on the mix
Soil-health considerationsLimited focus; risk of nutrient miningNot directly addressedCentral objective (organic matter, balanced nutrition)
Supply-chain implicationsConcentrated in gas-rich exporters; geopolitical exposureNew producers; certification, traceability and CBAM-type rulesMore diverse sources; bulky organics logistics; advisory capacity

Table 2. Qualitative comparison of fertilizer scenarios. Qualitative analytical assessment; no numerical values are implied.

Cost-firstCarbon-constrainedIntegrated
A. Illustrative Yield–Cost–Carbon comparison
Index (Cost-first = 100)
0408012010010098Yield100124112Fertilizercost/ha100124114Fertilizercost/t crop1006276Carbonintensity/t crop
B. Rankings change with the carbon value
Carbon-adjusted fertilizer cost (USD per t crop)
40506070800255075100125150Carbon value applied (USD/t CO₂e)Curves converge near~USD 100/t CO₂e (sample data)

Figure 4. Illustrative Yield–Cost–Carbon comparison and scenario-based fertilizer economics. Data are sample and illustrative and are intended to demonstrate the analytical framework; they do not represent actual market values unless explicitly sourced. Assumptions in the Excel file.

07

Market Scope of Multi-Nutrient Fertilizers

Credible, public and consistently defined estimates of the multi-nutrient or natural-mineral fertilizer market are scarce; commercial estimates vary widely in product definition and are often proprietary, so we assess market scope qualitatively rather than citing a figure.

Growth drivers

The policy and economic push for higher nutrient-use efficiency; documented secondary-nutrient deficiencies in intensively cropped soils; expansion of organic and regenerative systems that need permitted mineral K, Mg, S and Ca sources; precision agriculture and crop-specific nutrition, which favour products with predictable composition; horticulture and specialty crops, where chloride sensitivity and quality premiums justify sulfate-based sources; farmer economics where one product replaces several; and fertilizer logistics.

Constraints

Lower nutrient concentration raises freight cost per unit of nutrient, so economics weaken with distance from mine or port; supply is concentrated in a few deposits and companies; and uptake depends on local trial evidence and advisory support. Adoption will differ by region – EU organic rules and CBAM, India's balanced-fertilization policy and subsidy structure, and high-value horticulture in the Americas and Asia shape demand differently. Sustainability and carbon considerations add a driver where buyers track Scope 3 emissions, but they reward measured performance rather than “natural” labels.

08

Green Ammonia and Low-Carbon Fertilizers

Conventional ammonia is made by Haber–Bosch synthesis using hydrogen from natural-gas reforming or coal gasification; the global average energy intensity is about 41 GJ/t (net) versus best-available-technology levels of 28 GJ/t for gas-based plants [1]. Green ammonia replaces fossil hydrogen with electrolytic hydrogen from renewable power (Figure 5A), removing most direct process CO₂; each tonne of ammonia needs roughly 0.18 t of hydrogen (stoichiometric). Economics are dominated by renewable electricity cost, electrolyser capex and utilisation, and the cost of capital. The IEA reports that, depending on location, renewable hydrogen costs roughly 1.5–7 times more than unabated fossil hydrogen, and low-emissions hydrogen remains under 1% of global hydrogen demand (global, 2024 data) [9]. Policy can narrow the gap: the EU CBAM entered its definitive phase for imported fertilizers on 1 January 2026, with the first certificate surrender for 2026 imports due by 30 September 2027 [10].

The key distinction: lower-carbon production does not automatically mean lower fertilizer cost for the farmer. The delivered price depends on energy prices, production efficiency, the prevailing fertilizer market price, the carbon value captured (through regulation or buyer premiums), logistics and policy support. During a gas-price spike, low-carbon nitrogen backed by contracted renewable power can look relatively competitive; when gas is cheap, the premium widens. Field N₂O emissions are also unaffected by how ammonia is made, so production decarbonisation must be paired with efficiency.

A. Low-carbon nitrogen value chain
Renewable electricity
Electrolysis → Green H₂
Haber–Bosch → Green NH₃
Nitrogen fertilizer (urea*, AN, UAN…)
Agriculture (field use, N₂O)
* Urea also needs CO₂ as a feedstock. Cost drivers: power price, electrolyser capex & utilisation, financing, logistics, carbon value, policy.
B. From traditional to carbon-aware procurement
Traditional
Price + Quality + Availability
Emerging
Price + Quality + Availability + Carbon intensity + Supply risk
Carbon-adjusted cost = financial cost + emissions × carbon value (analytical framework)

Figure 5. Green H₂ → green NH₃ → fertilizer value chain, and the shift to carbon-aware procurement. Conceptual diagrams; contain no quantitative data.

09

Carbon-Aware Fertilizer Procurement

Procurement has traditionally weighed price, quality and availability. An emerging approach adds carbon intensity and supply risk (Figure 5B). We call this Carbon-Adjusted Fertilizer Economics:

Carbon-adjusted cost = Financial fertilizer cost + (Fertilizer-related emissions × Carbon cost or value)

The carbon value may be a regulatory price (e.g., CBAM exposure for EU importers), an internal carbon price, or a buyer premium tied to Scope 3 targets. This is an analytical framework, not a description of current universal practice – most farm-level purchasing remains price-led. Its value lies in making hidden exposures visible: the same tonne of nitrogen can carry very different embedded emissions and supply risks depending on origin and production route, and Figure 4B shows how rankings shift as the carbon value rises.

10

Future Outlook

For 2030–2035 we expect multiple fertilizer pathways rather than a single replacement technology. Table 3 sets out qualitative Low, Base and High transition cases – scenarios, not forecasts. In all three, conventional nitrogen remains the backbone of global supply; the open questions are how quickly nutrient-use efficiency improves, how much low-carbon ammonia reaches commercial scale, and how far carbon values reach into farm-gate prices. Natural mineral and multi-nutrient fertilizers are likely to grow where secondary-nutrient deficiencies, chloride sensitivity or organic certification create a clear agronomic case, and to remain niche where they do not. Organic and biological inputs will expand alongside, rather than instead of, mineral nutrition in most high-yield systems. The advantage will go to those who manage the portfolio: matching nutrient source to soil and crop, measuring cost and carbon per tonne of output, and stress-testing decisions against energy, carbon, policy and trade scenarios.

Driver (2030–2035)Low transitionBaseHigh transition
Natural gas & fertilizer pricesGas-driven volatility persists; price dominates purchasingCyclical prices; buyers hedge and diversify originsVolatility accelerates shift to efficiency and non-fossil supply
Green H₂ / green NH₃ economicsPremium persists; few projects beyond pilotsGap narrows in best-resource regions; selective offtakeLow-cost renewables plus policy make low-carbon N competitive in several regions
Carbon pricing & Scope 3Largely confined to EU CBAMCBAM plus expanding corporate Scope 3 programmesBroader carbon pricing; low-carbon premiums reach the farm gate
Organic & biological inputsOrganic area broadly stableSteady growth in organic, regenerative and biofertilizer useStrong policy and market pull; INM becomes mainstream
Natural minerals & multi-nutrientsNiche; freight limits reachGrowth in S/Mg/Ca-deficient soils and specialty cropsStandard component of balanced-fertilization programmes
Precision agriculture & NUEIncremental gainsWider soil testing, variable-rate, enhanced-efficiency productsRapid NUE gains; digital advisory at scale
Trade & supply chainsExport restrictions and concentration riskGradual diversification of originsRegional low-carbon supply hubs

Table 3. 2030–2035 sustainable fertilizer outlook: qualitative Low / Base / High transition cases. Qualitative scenario framework developed for this article; not a forecast and contains no market values.

References

[1] IEA (2021). Ammonia Technology Roadmap. iea.org/reports/ammonia-technology-roadmap

[2] Menegat, S., Ledo, A., Tirado, R. (2022). GHG emissions from global production and use of nitrogen synthetic fertilisers. Scientific Reports 12:14490.

[3] Gao, Y., Cabrera Serrenho, A. (2023). GHG emissions from nitrogen fertilizers could be reduced by up to one-fifth of current levels by 2050. Nature Food.

[4] Zhang, X. et al. (2015). Managing nitrogen for sustainable development. Nature 528:51–59.

[5] World Bank (2026). Commodity Markets Outlook, April 2026; and associated World Bank data blogs.

[6] FiBL & IFOAM – Organics International (2026). The World of Organic Agriculture 2026 (2024 data); media release 10 Feb 2026.

[7] Ponisio, L.C. et al. (2015). Diversification practices reduce organic to conventional yield gap. Proc. R. Soc. B 282:20141396.

[8] Seufert, V., Ramankutty, N., Foley, J.A. (2012). Comparing the yields of organic and conventional agriculture. Nature 485:229–232.

[9] IEA (2025). Global Hydrogen Review 2025. iea.org

[10] European Commission. Carbon Border Adjustment Mechanism, Regulation (EU) 2023/956 and 2025 simplification amendments. taxation-customs.ec.europa.eu

[11] ICL Group. Polysulphate product specifications (icl-growingsolutions.com; icl-group.com, 2024).

[12] The Mosaic Company (2024). K-Mag Special Standard data sheet (cropnutrition.com).

[13] K+S. Product pages and declarations for PatentKALI, Korn-KALI and Magnesia-Kainit (kpluss.com; ks-polska.com; kali-gmbh.com).

[14] Iowa State University Extension. Selecting and Using Organic Fertilizers; Univ. of Massachusetts Soil Guide, Ch. 7; Univ. of Georgia Extension C 853; Colorado State Univ. Extension, Phosphorus Fertilizers for Organic Farming Systems.

[15] Kumar, V. et al. (2025). Polyhalite in rice–wheat sequence, ICAR-IARI New Delhi (AGRIS record); ICAR Indian Journal of Agricultural Sciences (polyhalite in wheat).

[16] Government of India: Lok Sabha Unstarred Q. 3803 (19 Dec 2005); Rajya Sabha Unstarred Q. 512 (7 Feb 2025) on Soil Health Cards and INM.

Figures in this article are conceptual or illustrative unless marked as sourced. Editable visuals and underlying data are provided in the accompanying PowerPoint and Excel files. No proprietary price databases were used.

How ESIQ can help

Navigating the new fertilizer economy

Sustainable fertilizer decisions now sit at the intersection of commodity prices, energy markets, carbon policy, agronomy and supply chains. EnviroSUSIQ helps businesses analyse these interactions through:

01

Fertilizer price forecasting and supply–demand analysis

02

Commodity market intelligence and scenario-based forecasting

03

Natural mineral fertilizer analytics

04

Carbon-aware commodity pricing and carbon-adjusted economics

05

Low-carbon fertilizer, green ammonia and green hydrogen analytics

06

Trade and supply-chain intelligence

07

Wider decarbonisation analytics

Whether you are a producer assessing low-carbon capacity, a distributor building a multi-nutrient portfolio or a food company managing Scope 3 exposure, the objective is the same: understand how alternative production pathways, carbon values and market conditions shape cost and risk per tonne of output.

Visit EnviroSUSIQ to explore its decarbonisation and commodity analytics capabilities.

Balancing yield, cost and carbon in fertilizer?

ESIQ helps producers, distributors and food companies measure fertilizer cost and carbon per tonne of output and stress-test decisions across market scenarios.

Related Insights

Continue the research