
Nature-related financial risk includes water, land use, ecosystem services, and biodiversity. Learn why the right taxonomy is essential for effective risk management and regulatory readiness.
For many organisations, "nature risk" has become synonymous with biodiversity loss. While biodiversity is an important component of nature-related financial risk, it is only one part of a much broader risk landscape.
This distinction matters. Organisations that define nature risk too narrowly risk building governance, data, and analytical capabilities that address one dimension of exposure while overlooking others that may be more material to their business.
As regulatory expectations mature and disclosure frameworks evolve, institutions need a more complete understanding of what constitutes nature-related financial risk.
Frameworks such as the TNFD, together with emerging supervisory expectations including FINMA's Circular 2026/1, recognise four primary channels through which nature-related risks can affect financial performance:
ach creates different forms of physical, transition, legal, and reputational risk, affecting different sectors, geographies, and business models.
For an agricultural producer or beverage manufacturer, water availability, quality, and regulation are often the dominant concerns. For banks financing commercial real estate or infrastructure, land-use change and the loss of ecosystem services, such as flood mitigation or soil stability, may represent more significant exposures. Extractive industries and forestry businesses frequently face biodiversity-related risks directly, while global consumer supply chains may be exposed across multiple channels simultaneously.
Treating these risks as a single category inevitably reduces visibility into the specific drivers of financial exposure.
A common implementation pattern is to begin with the nature datasets that are most readily available, particularly biodiversity and habitat information. While these datasets are valuable, designing a programme around available data rather than material risk often produces incomplete outcomes.
The consequences become apparent during portfolio analysis, supervisory engagement, or client due diligence.
A lending portfolio concentrated in water-stressed agricultural regions cannot be adequately assessed through biodiversity indicators alone. Likewise, evaluating a commercial real estate portfolio primarily through habitat impacts provides little insight into land-use-driven flood risk or ecosystem degradation affecting asset resilience.
In each case, the issue is not data quality, it is programme design. If the underlying taxonomy does not reflect the full range of nature-related risk channels, important exposures remain outside the analytical framework.
The timing is significant.
FINMA's Circular 2026/1 in Switzerland introduced enhanced expectations for the governance and management of climate-related financial risks, with implementation beginning in 2026 for larger institutions and extending across the Swiss financial sector thereafter. The framework also establishes a pathway towards the broader management of nature-related financial risks, with full coverage expected by 2028.
At the same time, the TNFD continues to shape international practice. As its technical work concludes and the ISSB progresses towards a global nature-related disclosure standard, many organisations expect the TNFD's underlying architecture to become the foundation for future reporting and supervisory expectation, —much as the TCFD informed today's climate disclosure landscape.
Institutions developing nature risk capabilities today should therefore avoid designing programmes that address climate or biodiversity in isolation. The direction of travel is towards integrated nature-related risk management across all four channels.
Effective nature risk programmes begin with understanding where material exposures exist.
Rather than asking, "What nature data can we obtain?", organisations should first ask:
Only once those questions have been answered should data, analytics, and reporting capabilities be developed.
This sequence produces more robust governance, more defensible risk assessments, and greater confidence that emerging regulatory expectations can be met without significant programme redesign.
As nature-related financial risk becomes an established component of enterprise risk management, success will depend less on the volume of environmental data collected and more on whether organisations are measuring the risks that are genuinely material to their business.
Artamis combines human expertise with AI-powered technology to help financial institutions manage climate and nature risk, meet regulatory obligations, and deploy capital with purpose. If the themes in this article are relevant to your institution, speak to our Advisory team or request access to our Intelligence products
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