This is Issue #1 of the Butterfly Effect series. The series maps how upstream forces cascade into European forestry — and how forestry cascades downstream into the wider economy. Part 0 (published March 20, 2026) introduced the framework. This issue examines the core tension running through the entire series: the expectations gap.

Pick a hectare of European forest. Any one. Society has a list for that hectare.

It should absorb carbon. Enough to help meet EU climate targets.

All of this simultaneously.

Same hectare. Same trees. Same soil.

This is the Expectations Gap.

It is not a communications failure. It is not a policy design problem. It is a physical problem. Biology, hydrology, and thermodynamics do not negotiate with policy targets.

The 2024–2026 scientific literature is the clearest picture yet of this gap. The data is not ambiguous. The gap is real. It is measurable. It is widening faster than any management response can close it.

This is not a reason to abandon European forestry. The opposite is true.

Understanding the gap — precisely, quantitatively — is the only way to build strategies that work with the physics instead of against it.

That is what this issue does.

Start with the foundation.

EU climate targets rest on carbon projections. Those projections come from Earth System Models (ESMs). ESMs estimate how much carbon forests will absorb in the future.

Carbon absorption in forests is nitrogen-limited. Trees need nitrogen to grow. More nitrogen means more growth. More growth means more carbon absorbed.

In November 2025, a team led by Sian Kou-Giesbrecht at the University of Toronto published a major study in PNAS. The team compared how ESMs model biological nitrogen fixation (BNF) against 20+ years of field observations.

BNF is the process by which certain organisms pull nitrogen from air. It is the dominant natural nitrogen input for forest ecosystems. It sets the pace of growth. It sets the ceiling on how much additional carbon forests can absorb when CO₂ rises.

The finding was stark.

The models overestimate natural BNF by more than 50% in present-day conditions. The overestimate is largest in forests and grasslands — precisely the ecosystems that drive Europe's carbon targets.

The consequence: the models overestimate how much carbon forests will absorb in a high-CO₂ future by approximately 11%.

Eleven percent does not sound alarming. But EU LULUCF targets are already built on optimistic assumptions. An 11% inflation in projected CO₂ fertilization benefit is not noise. It is a structural error in the accounting.

The study is peer-reviewed and open-access. As of April 2026, it has received no formal published rebuttal.

Here is where it gets more interesting.

One month earlier, a second paper reached a different global conclusion. Peng et al. (October 2025, National Science Review) used natural isotope signatures instead of meta-analysis. They found that globally, ESMs actually underestimate total BNF by 18%.

Two papers. Two methodologies. Two opposite global conclusions.

ForestryBrief is not picking a winner. That is not the job of the 10th Man.

The 10th Man looks at where the two papers agree.

Both show that the discrepancy is driven by latitude. In the tropical band, models underestimate BNF. In the 30°–60°N latitudinal band — where European forests sit — both studies find that models overestimate BNF. This signal emerges from zonal analysis in both papers. It is not an EU-specific sub-study. But it is consistent across two independent methodologies.

The global argument is unresolved. The European direction is not.

Both research teams agree: European forest carbon projections are running hot.

The consensus view says forests will absorb more carbon as CO₂ rises. The current science is more complicated.

The contest between these two papers is itself evidence the consensus is fragile. Fragile consensus is risk. Price it accordingly.

The modelling problem is theoretical. The sink decline is not.

In July 2025, a JRC-led study published in Nature confirmed what national inventories had been signalling for years. EU forests absorbed approximately 332 million net tonnes of CO₂ per year in 2020–2022. That is nearly a third less than in 2010–2014.

The EU's 2030 LULUCF target calls for 310 million tonnes of annual net removals. The EU is already below that level — and the trajectory is downward.

The European Commission's own Climate Action Progress Report (2025) quantifies the gap at 40–55 Mt CO₂e below the 2030 target.

The member-state picture is worse than the EU average.

Germany. The fourth National Forest Inventory (BWI-4), published October 2024, found that living German trees emitted an average of 26.4 million tonnes of CO₂e per year between 2017 and 2022. Previous reporting had recorded a sink of 32.2 Mt CO₂e per year. That is a swing of 58.6 million tonnes per year. The Thünen-Institut confirmed that Germany's LULUCF sector has flipped to a net source. Analysis of BWI-4 data against Germany's national target paths indicates a projected shortfall of approximately 65 Mt CO₂e per year against the 2027–2030 legal targets under current policies.

Finland. Finnish forests became a net carbon source in 2021. In 2023, forests emitted 1.12 Mt CO₂e. The wider LULUCF sector emitted 11.8 Mt CO₂e that year — making it one of Finland's largest emission sectors. The Finnish government's Annual Climate Report 2025 confirmed these numbers. Approximately 90% of forest growth is now consumed by harvesting and natural loss combined. In the early 2010s, that figure was around 70%.

Czech Republic. Net source since 2018. The cause: bark beetle.

France. Forest CO₂ removal has nearly halved in 14 years.

The EC identifies Sweden, Finland, and Spain as the member states projecting the biggest gaps to their national 2030 LULUCF targets.

This is the Expectations Gap made visible in an accounting table.

The EU has committed to forests absorbing 310 million tonnes of carbon per year by 2030. The current trajectory points the other way.

The sink problem is in the accounting. The disturbance problem is the physical reality underneath.

In March 2026, Science published the most comprehensive analysis of European forest disturbance ever produced. The study was led by Marc Grünig at TUM, with Rupert Seidl as senior author. It used an AI-based simulation framework trained on 135 million data points across 13,000 European locations, combined with multi-decadal satellite data.

The current baseline: approximately 180,000 hectares disturbed per year across Europe (averaged 1986–2020). The researchers describe this as already "unprecedented" in historical terms.

What happens under climate change?

The primary driver of future disturbance is wildfire. Wildfires are expanding from the Mediterranean into temperate and boreal zones. Southern and western European forests face the sharpest increases. Northern Europe faces less severe impacts overall — though with local hotspots emerging.

That regional split matters. We will return to it.

Now put a price tag on it.

In September 2025, a companion study in Nature Climate Change — led by Johannes Mohr at TUM — quantified the cost.

Historical baseline (1981–2005): €115 billion in total disturbance losses. Average: €1.7 billion per year. Per hectare: €1,265.

Under moderate warming (RCP4.5): €186 billion.

Under severe warming (RCP8.5, 4.8°C): €247 billion. Average €3.7 billion per year. Up to €19,885 per hectare in Central Europe.

These losses would reduce the timber value of Europe's forests by up to 42%. They would cut the gross value added of the European forestry sector by up to 15%. The study covered 91 million hectares — two-thirds of Europe's total forest area.

This is not a forecast of a distant event. It is the present, accelerated.

Storm Éowyn made landfall on January 24, 2025. The most powerful storm to hit Ireland in decades. It was preceded weeks earlier by Storm Darragh.

The combined damage: 26,050 hectares of Irish forest damaged, per the official satellite-survey assessment from the Irish Department of Agriculture (April 2025) using high-resolution SkySat imagery. Breakdown: 14,500 hectares on the Coillte estate, 11,550 hectares in private forests. Storm Éowyn was the dominant event. The official figure covers both storms combined.

The timber loss: over €500 million in commercial forest value, according to Forest Industries Ireland director Mark McAuley, quoted in The Irish Times (February 2025), based on Department of Agriculture damage estimates.

Coillte reported losses of more than €60 million. The Irish government announced a €55 million emergency support scheme for private forest owners.

One storm season. One country. Weeks.

The Mohr study's conclusion belongs in every forest investment committee briefing: structurally diverse mixed forests are often seen as less profitable than conifer monocultures. But their far lower susceptibility to disturbance may make them significantly more valuable in the long run — Thomas Knoke, TUM.

Most investors price forest risk through replacement cost: what does it cost to regrow the timber?

Few ask the insurance question first.

What percentage of European forests carry insurance against storm, fire, or bark beetle damage?

Sweden: approximately 95% of commercial forests carry some form of insurance.

Germany: around 5%.

France: less than 10%.

These figures come from European forest insurance research, including work by Brunette and Couture on private forest insurance demand across EU member states.

Sweden's high coverage is not accidental. Swedish forest insurance markets developed alongside industrial forestry. Risk is priced into the business model. When storm damage arrives, the claim gets paid.

Germany and France sit at the opposite end. Single-digit coverage in Germany means the vast majority of commercial forest owners bear the full cost of any major disturbance themselves.

The bark beetle crisis cost Bavarian State Forest (BaySF) an estimated €31.2 million in FY2024 — a figure consistent with secondary reporting on that year's annual accounts. One operator. One year. With no insurance buffer.

Now scale that exposure across Germany's approximately 11 million hectares of private and communal forest.

The insurance market is not sitting still. Global reinsurers have been repricing natural catastrophe risk since 2022. Global nat-cat losses have exceeded $100 billion for multiple consecutive years. The direction is clear: higher premiums, tighter terms, reduced capacity in high-disturbance zones.

Explicit large-scale withdrawal from European forest insurance has not been documented. But premium pressure is real and rising in southern Germany, Austria, and the Czech Republic — precisely where disturbance projections are worst.

This is the Expectations Gap on the financial side.

Society expects forest owners to absorb an accelerating disturbance regime. Most are doing so with no financial buffer.

There is a structural tension at the core of modern forest management.

Forests operate on biological time. An oak takes 150–200 years to reach full value. A Norway spruce rotation runs 60–100 years. Even a fast-growing Douglas fir needs 40–60 years to produce structural timber.

Capital operates on financial time. Fund structures run 8–12 years. Quarterly reporting rewards short-term harvest decisions. Interest rate changes alter harvest timing within months.

These two timelines are not compatible. The mismatch produces a specific kind of damage.

When financial time accelerates harvest decisions — because timber prices spike, because a fund manager needs IRR, because discount rates rise — the biological substrate is drawn down faster than it recovers.

When biological time is ignored, complex forest becomes plantation. Durable, high-value timber becomes bulk commodity. Structural resilience becomes vulnerability.

BaySF shows both sides of this in a single set of accounts.

In FY2024, bark beetle-affected forests forced accelerated salvage harvests. Those ~€31.2M of bark beetle costs in FY2024 are the invoice for a mismatch between biological reality and management expectation.

In FY2025, the same organisation reported a net profit of €43.7 million — more than double the FY2024 result of €20.2 million. Total revenue reached €501.8 million. It harvested 5.05 million cubic metres against a biological increment of 6.1 million cubic metres. Harvest stayed well below growth. Biological capital is rebuilding.

Two years. Same forests. Completely different financial outcome.

The lesson is not that BaySF managed well or badly. The lesson is that biological systems do not smooth quarterly earnings. Beetle damage, storm events, drought — these arrive on biological time and present their bills in financial time.

Investors who understand this mismatch can price forest risk correctly. Those who do not will be surprised.

The Expectations Gap is real, measured, and widening.

But it is not uniform.

It closes in some places. It widens in others. Four cases show the range of what is actually possible.

Case 1: Tornator — the northern advantage

Tornator is Finland's largest private forest company. In its FY2025 Annual Report, it recorded a return on equity at fair value of 9.5%. The company harvests less carbon than its forests accumulate through growth. It is a net biological accumulator.

The Grünig et al. disturbance projections explain part of why. Northern European forests face lower disturbance pressure than Central or Southern European forests across most warming scenarios. The climate gradient translates into a risk discount.

Tornator is not typical. It is the result of geography, biological management, and patient capital aligned with biological time.

Case 2: BaySF — recovery from the gap

BaySF demonstrates the opposite and the recovery.

Central European forests — Germany, Austria, Czech Republic — sit in the disturbance band where the Mohr projections show losses exceeding revenues under most warming scenarios. BaySF lived this.

The FY2025 recovery — €43.7 million net profit, total revenue €501.8 million — came through structural adaptation. Mixed species planting. Reduction of monoculture exposure. Species shift toward climate-resilient stands. Harvest at 5.05 million cubic metres against increment of 6.1 million cubic metres: biological capital rebuilding.

This is the gap partially closing. Not through policy. Through biological adjustment at operational scale.

Case 3: Lübeck — the premium forest model

The municipal forests of Lübeck in northern Germany have operated for decades on close-to-nature principles. No clear-cutting. Structurally diverse stands. High deadwood volumes.

The financial result from the TEEB Germany / INTEGRATE+ case study: a net profit of approximately €250,000 on roughly 4,000 hectares. Timber achieves approximately €123 per cubic metre at market — compared to approximately €59 per cubic metre for the neighbouring conventionally managed forest.

A premium of €64 per cubic metre — the financial expression of biological complexity.

The Knoke point from Mohr et al. applies directly here: the forests most commonly dismissed as "unprofitable" are showing the best long-run economics as disturbance risk rises.

⚠️ A "best forestry model in Germany" designation attributed to the Federal Environment Ministry (BMU, 2009) appears in secondary literature on Lübeck but has not been located in a primary BMU document. The performance figures above are from the TEEB Germany / INTEGRATE+ case study.

Case 4: Foresight Banc Woodland — patient capital rewarded

In November 2025, Foresight Group reported the exit from Banc Woodland Investment Trust in Wales. The result: 15.5% IRR and 1.8x MOIC over 4.75 years.

Native woodland. Multiple ecosystem service revenue streams. A structure that matched investment duration to biological time.

15.5% IRR on a multi-year native woodland investment is not typical. It is the result of correctly priced complexity in an underserved niche.

The pattern across all four cases is consistent.

The gap closes where:

These are not complicated conclusions. Executing them at scale is where the difficulty lies.

That is the real gap.

Every issue of the Butterfly Effect series uses the same intellectual spine.

The seesaw-cycle.

On one side: the living forest. Carbon sequestration. Biodiversity. Water filtration. Recreation. All the ecosystem services that society expects without a price tag.

On the other side: the dead forest. Timber. Bioenergy. Pulp. The economic output that pays for management.

This also forms a cycle which happens naturally, but forest management speeds it up and helps fulfill society’s demands for goods and services from the forest. However it is also a seesaw: every time you press one side down, the other comes up. More carbon storage means less harvest. More harvest means less biodiversity. More bioenergy means less structural timber. The physics is non-negotiable.

The Expectations Gap is what happens when society insists the seesaw stays flat.

It does not stay flat. It pivots. Every time.

The web.

European forestry does not operate in isolation. It sits at the centre of a web of upstream forces — energy prices, interest rates, shipping costs, geopolitical supply chains, insurance markets, capital flows — and downstream dependencies — construction, paper, furniture, bioenergy, packaging.

Every thread of that web transmits shocks in both directions.

The next 20 issues of this series will map those threads. One at a time. With verified data.

Energy: How oil and gas price volatility moves harvesting costs. How Europe's biomass decisions are reshaping forest management incentives across the continent.

Finance: How interest rate cycles, real asset allocation trends, and institutional capital flows are changing what gets bought, what gets cut, and what gets left to grow.

Geopolitics: How Ukraine, tariffs, and resource nationalism are turning forests into security infrastructure.

The series runs through Issue #21 — a synthesis issue mapping what a polycrisis-aware European forest strategy actually looks like in practice.

The spider.

ForestryBrief sits at the centre of this web.

Not to alarm you. Not to predict the future. To map what is actually there — so that you can see your own position in it and act accordingly.

European forests are 160 million hectares. They cover 39% of the EU's land area. They are one of the most remarkable biological assets on the continent.

They will not deliver every expectation stacked on them. But they will deliver more than many people currently believe — if the expectations are realistic, the investment patient, and the management genuinely complex.

That is the positive thesis of this series.

Not reassurance. Not cheerleading.

Evidence.

This issue maps the Expectations Gap at the European scale.

Every number above applies to a general picture.

Your picture is different.

If you manage forest in southern Germany, the bark beetle corridor and the disturbance projections hit you differently than if you operate in Finland or Estonia.

If you are allocating institutional capital to European forest assets, the country-specific sink decline data and the insurance penetration gap have direct implications for your risk model.

If you are advising clients on LULUCF exposure, the Kou-Giesbrecht and Peng findings require a stress-test of your carbon projection assumptions.

The general analysis is free. That is why you are reading it here.

The specific analysis — for your forest, your portfolio, your country, your balance sheet — is a preparedness briefing.

If this issue raised questions you cannot answer with general data, that is what ForestryBriefing is for.

European forestry needs better communication and smarter capital. We deliver both.

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Kou-Giesbrecht, S. et al. (2025)
"Overestimated natural biological nitrogen fixation translates to an exaggerated CO₂ fertilization effect in Earth system models."
PNAS 122(48), e2514628122.
https://www.pnas.org/doi/10.1073/pnas.2514628122

Peng, S. et al. (2025)
"Dramatic biases in terrestrial nitrogen fixation in Earth System Models revealed by natural isotope signatures."
National Science Review 12(12), nwaf459.
https://academic.oup.com/nsr/article/12/12/nwaf459/8305091

KPMG: https://assets.kpmg.com/content/dam/kpmgsites/be/pdf/SUS-ThoughtLeadership%E2%80%93EUDR-2025-EN-Brochure-A4-securised.pdf.coredownload.inline.pdf

Grünig, M., Seidl, R. et al. (2026)
"Climate change will increase forest disturbances in Europe throughout the 21st century."
Science 391(6789), eadx6329.
https://www.science.org/doi/10.1126/science.adx6329
EFI companion policy brief: https://efi.int/news/forest-damage-europe-could-double-2100-major-study-warns-2026-03-06

Mohr, J.S. et al. (2025)
"Rising cost of disturbances for forestry in Europe under climate change."
Nature Climate Change 15(10), 1078–1083.
https://www.nature.com/articles/s41558-025-02408-9
TUM press release: https://www.tum.de/en/news-and-events/all-news/press-releases/details/the-economic-cost-of-climate-change-for-europes-forests

European Commission, Climate Action Progress Report 2025, Chapter 4
https://climate.ec.europa.eu/eu-action/climate-strategies-targets/progress-climate-action/eu-climate-action-progress-report-2025/chapter-4-land-use-sector_en

Finnish Government, Annual Climate Report 2025
https://valtioneuvosto.fi/en/-/1410903/annual-climate-report-2025-emissions-from-finland-s-energy-production-fell-sharply-but-more-action-is-needed-to-meet-climate-targets

Brunette, M. & Couture, S. — European forest insurance research
University of Strasbourg / Beta laboratory working paper series.
https://beta.u-strasbg.fr/WP/2025/2025-42.pdf

Tornator Oyj, FY2025 Annual Report
https://www.tornator.fi/wp-content/uploads/2026/03/Tornator_AR2025_EN.pdf

Bavarian State Forest (BaySF)
Jahresabschluss GJ 2025: https://www.baysf.de/system/files/publication-file/bayerische-staatsforsten-jahresabschluss-gj-2025.pdf
Statistikband: https://www.baysf.de/system/files/publication-file/bayerische-staatsforsten-statistikband.pdf
Jahresabschluss GJ 2024: https://www.baysf.de/fileadmin/user_upload/Bayerische_Staatsforsten_Jahresabschluss_GJ_2024.pdf

Foresight Group, Banc Woodland Investment Trust exit (November 2025)
https://www.foresightgroup.it/news/foresight-natural-capital-achieves-successful-first-exit-from-welsh-afforestation-project

Irish Department of Agriculture — Storm damage satellite survey (April 22, 2025)
https://www.gov.ie/en/department-of-agriculture-food-and-the-marine/press-releases/minister-healy-rae-confirms-that-over-26000-hectares-of-forests-have-suffered-wind-damage/

Irish Times — Storm Éowyn €500M timber damage (February 22, 2025)
https://www.irishtimes.com/business/2025/02/22/storm-eowyn-causes-500m-damage-to-forests/

TEEB Germany / INTEGRATE+ — Lübeck close-to-nature forestry case study
http://www.integrateplus.org/uploads/Files/publications%20updated/20170112_Luebeck_DemoSites_Final.pdf

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Until Thursday!

Wish you all the best: Peter

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