The problem
More than half of global GDP is moderately or highly dependent on nature, and sectors such as agriculture, food and beverages and construction generate roughly USD 8 trillion of gross value added each year on that dependency. Yet nature is largely absent from the balance sheets and risk models that allocate capital. The Global Biodiversity Framework's Target 19 calls for USD 200 billion a year to be mobilised for biodiversity, with the large majority expected from private sources, but private nature finance today is a rounding error against that ambition. The gap is not only money. It is that most institutions cannot yet see, let alone price, their exposure to nature.
Who this is for
This is written for banks and corporates preparing for nature-related disclosure, and for the investors and project developers structuring nature-based solutions (NbS). It assumes familiarity with climate disclosure under TCFD-style frameworks and the mechanics of blended finance.
Why this matters now
Disclosure and deployment are two halves of one problem, and both moved in the same window. The Taskforce on Nature-related Financial Disclosures (TNFD), launched in 2021, gives institutions a common way to report nature dependencies and impacts, while the pipeline of investable NbS remains thin: across 1,364 documented nature-based projects in the EU and UK, only 3% attracted more than half their financing from the private sector. Making nature legible is the precondition for capital to flow against it, which is why the disclosure framework and the financing gap have to be read together, not as separate agendas.
Making nature legible: what nature-related disclosure actually requires
The TNFD does not create a new accounting standard. It integrates existing tools into a common reporting structure, focused first on around ten high-dependency, high-impact sectors including agriculture, forestry and fisheries, energy, mining, food and beverages, and construction. Across those sectors, analysis of the ENCORE database finds land- and sea-use change and direct resource exploitation to be the most frequently material impacts, ahead of pollution and climate change. In practice, disclosure requires a defined data stack: precise geolocation of operations and their surface area, the location-specific pressures nature is under at those sites, the state of nature in the operation and its supply chain, direct physical impacts measured quantitatively (water use in cubic metres, for example), and the financial materiality of the resulting dependencies. Tools such as ENCORE, the WRI Aqueduct water-risk layer and the WWF Water Risk Filter supply much of that data without primary fieldwork.
Only 3% of documented European nature-based solutions projects drew more than half their financing from private sources. The pipeline, not the capital, is the constraint. Source: European Investment Bank (2023).
Deploying capital: how nature-based solutions get financed
The financing problem is structural, not merely one of scarce funds. In Europe, 81% of NbS projects cost under EUR 10 million and the average sits below EUR 2 million, which is too small for most institutional lenders to underwrite profitably, and returns often arrive only after 5 to 10 years. Restoring EU forests in poor or bad condition alone would require around EUR 59 billion. Closing gaps of that size means combining revenue streams and capital types: carbon credits, still the most mature market, alongside emerging biodiversity credits, insurance-premium reductions, resource-efficiency savings and product sales, funded through a blend of grants, concessional loans, market-rate debt and, less commonly, equity. Grants remain necessary to cover the innovation and revenue shortfalls that a purely commercial structure cannot yet absorb.
What credible transactions look like
The clearest signals are at two ends of the market. On the sovereign side, debt-for-nature conversions reached record scale with Ecuador's Galápagos transaction in May 2023 and Gabon's ocean-conservation conversion in August 2023, the first on mainland Africa. On the corporate side, sustainability-linked lending is pricing nature into the cost of capital: the Asian Development Bank and Indorama Ventures closed a USD 100 million blue loan for ocean-plastic recycling in February 2024, and UPM signed a EUR 750 million sustainability-linked loan tied to forest-biodiversity and carbon targets. By contrast, the biodiversity-credit market remains nascent at roughly USD 48 million, against USD 27.6 billion of traded green and sustainability-linked debt, a reminder that the mature instruments, not the experimental ones, are moving most of the capital.
Risks, limitations and what a robust approach requires
- Data gaps are real but not disqualifying. Dependency data is newer and thinner than emissions data, and supply-chain visibility is weakest exactly where impacts are largest; a staged data stack, improved each cycle, beats waiting for perfect coverage.
- Small project size is the binding financing constraint. With most NbS projects under EUR 2 million, aggregation and standardisation, not new instruments, are what make the pipeline bankable.
- Emerging markets can outrun their metrics. Biodiversity credits are promising but small and inconsistently defined; using them as a headline revenue line before the market matures invites a greenwashing challenge.
- Public capital still does the de-risking. Grants and concessional finance are not a transitional embarrassment; they cover the returns gap that keeps otherwise sound NbS projects off commercial balance sheets.
Conclusion
For an institution starting on nature, the sequence matters: build the disclosure data stack first (geolocation, pressures, state of nature, quantified impacts, dependency materiality), then let those findings reshape what the lending and investment committees will actually fund. Disclosure without deployment is a report; deployment without disclosure is unpriced risk. The institutions that close the biodiversity financing gap will be the ones that treat the two as a single workflow, using measured dependency to justify a blended-capital structure against a defined, quantified nature outcome.