Illustrative: a hexagonal population grid where a wave rises, peaks and recovers from seeded outbreaks

Risk Academy, led by the Nexus Consortium · Course catalogue · Finance and Economics

Financial Markets and Investment

Nature and biodiversity finance

Nature and biodiversity finance, taught twice over: as the working methods of the field and as its frontier since 2024, with labs on the Academy's tools, open data and the Nexus Standards.

The discipline

01Core course · L2 Intermediate

Nature and biodiversity finance: foundations and practice

This area covers nature-related financial risk and the finance of conservation and restoration: how the dependence of firms and portfolios on ecosystem services becomes credit, market and insurance risk, how supervisors and disclosure frameworks treat it, and the instruments that channel capital to nature.

Level
L2 Intermediate
Study time
about 24 hours (planning estimate)
Status
Planned
Prerequisites
An L1 course in the area, or an entry review

Why now

The TNFD recommendations (2023) and the Kunming-Montreal Global Biodiversity Framework target 15 on business disclosure moved nature risk into finance, with hundreds of adopters reporting on dependencies and impacts by 2025. TNFD, Recommendations of the Taskforce on Nature-related Financial Disclosures, 2023

Learning outcomes

  1. Define nature-related financial risk and the other key terms of the discipline and use them correctly in a written case
  2. Explain nature-related dependencies and impacts of portfolios and nature-related financial risk transmission with a worked example and its source
  3. Apply the discipline's method to a documented case and explain each result with its source
  4. Analyse a named case against nature-related disclosure and assessment approaches, stating evidence, date and limits

Modules

  1. Nature-related dependencies and impacts of portfolios
    • Nature-related dependencies and impacts of portfolios
    • Nature-related financial risk transmission
    • Nature-related disclosure and assessment approaches
  2. Supervisory work on nature-related risk
    • Supervisory work on nature-related risk
    • Biodiversity metrics for finance
    • Debt-for-nature swaps and conservation finance
  3. Biodiversity credits and their integrity
    • Biodiversity credits and their integrity
    • Payment for ecosystem services
    • Target 19 of the Global Biodiversity Framework
  4. Lab: the discipline's method
    • Borrowers in sectors that depend on ecosystem services lose revenue when those services decline; lower revenue raises their probability of default; the lender locates the dependence, sizes the loss and decides how to respond.
    • Work the method through a documented case and explain each result
    • Read the method's sources and stated values

Labs with Academy tools

Open data

Assessment

  • 40%Lab recordWork the discipline's method through a documented case and explain each result with its source and date
  • 40%Case memoApply the discipline's methods to a named place or organisation, stating evidence and limits
  • 20%Key terms checkShort answers on the key terms, marked against the definitions

Delivery

  • Self-paced online, with the labs in the browser
  • Cohort study over six to eight weeks, with a weekly lab review
  • Co-delivered with a partner institution, inside its own courses

Partner on this course

  • Co-teach a module and bring a current case from your work
  • Host a cohort for your learners, with your own schedule and review
  • Contribute a lab: a dataset your institution publishes openly, or a model
  • Review the course content and its references before it opens
  • Translate the course and adapt its cases to your region

How institutions and experts take part

In the Academy LMS

Course on the learning platform
Intermediate, 4 topics
Cohort group
A community group for each cohort of learners
Achievement
Recorded on completion of the assessed work

References

  1. Dasgupta, The economics of biodiversity: the Dasgupta Review, 2021
  2. Kedward, Ryan-Collins and Chenet, Biodiversity loss and climate change interactions: financial stability implications for central banks and financial supervisors, 2023
  3. Costanza and others, Changes in the global value of ecosystem services, 2014
02Live map

Habitat condition in Southern Africa

Vegetation, land cover, fires and ocean productivity and warmth from NASA satellites, over Southern Africa.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Habitat condition

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Habitat condition, framed on Southern Africa.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONETSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS Aqua ocean colour, NASA Ocean Biology Processing Group; distributed by the NASA Ocean Biology DAAC (OB.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Gross primary production, 8-day total: MODIS Aqua GPP (MYD17), NASA LP DAAC · 30 Sep 2026
  • Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
  • Ocean chlorophyll-a concentration: MODIS Aqua ocean colour, NASA OB.DAAC · 12 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026

03How learning runs

How learning runs, as a process you can run

Select a scenario and press Play: course, pathway, practice, faculty, cells and record.

04What is changing

What is changing, with standards and evidence

Nature and biodiversity finance: frontier methods

The methods, data, tools and studies that changed nature and biodiversity finance between 2024 and 2026, taught by reproducing them on open data.

Level
L3 Advanced
Study time
about 28 hours (planning estimate)
Status
Planned
Prerequisites
Nature and biodiversity finance: foundations and practice; Working knowledge of a scripting language (Python or R) for the labs

Why now

The TNFD recommendations (2023) and the Kunming-Montreal Global Biodiversity Framework target 15 on business disclosure moved nature risk into finance, with hundreds of adopters reporting on dependencies and impacts by 2025. TNFD, Recommendations of the Taskforce on Nature-related Financial Disclosures, 2023

Learning outcomes

  1. Explain what changed in nature and biodiversity finance since 2024 and cite the studies, data or rules behind each change
  2. Reproduce dependencies and impacts on open data and state the uncertainty of the result
  3. Evaluate a 2024 to 2026 study: its question, data, method, limits and what it changes for practice
  4. Design an analysis that combines a frontier method with the faculty's instruments, and justify each choice

Modules

  1. Dependencies and impacts
    • The LEAP approach
    • ENCORE dependency and impact mapping
    • Location-specific assessment
  2. From nature to financial risk
    • Transmission channels: physical, transition, systemic
    • Scenario analysis for nature
    • Ecosystem accounting (SEEA EA)
  3. Instruments
    • Debt-for-nature swaps
    • Biodiversity credits and integrity questions
    • Nature-positive targets and their verification
  4. Reproduction lab
    • Extend the discipline's method with one frontier method and compare its results
    • State the uncertainty and the limits of the result
    • Peer review against a shared checklist
  5. Technology that helps and the risks it carries
    • AI models, tokenisation and regulatory technology.
    • Model risk, cyber accumulation, exposure to quantum attacks on cryptography, and concentration on third-party cloud providers.

Labs with Academy tools

Open data

Assessment

  • 50%Method reproductionReproduce one frontier method on open data and state the uncertainty of the result
  • 30%Study reviewA critical review of a 2024 to 2026 study: question, data, method, limits, what it changes
  • 20%Peer reviewReview two other learners' reproductions against a shared checklist

Delivery

  • Self-paced online, with the labs in the browser
  • Cohort study over six to eight weeks, with a weekly lab review
  • Co-delivered with a partner institution, inside its own courses

Partner on this course

  • Co-teach a module and bring a current case from your work
  • Host a cohort for your learners, with your own schedule and review
  • Contribute a lab: a dataset your institution publishes openly, or a model
  • Review the course content and its references before it opens
  • Translate the course and adapt its cases to your region

How institutions and experts take part

In the Academy LMS

Course on the learning platform
Expert, 5 topics
Cohort group
A community group for each cohort of learners
Achievement
Recorded on completion of the assessed work

References

  1. TNFD, Recommendations of the Taskforce on Nature-related Financial Disclosures, 2023
  2. Convention on Biological Diversity, Kunming-Montreal Global Biodiversity Framework, 2022
  3. United Nations, SEEA Ecosystem Accounting, 2021
  4. Dasgupta, The economics of biodiversity: the Dasgupta Review, 2021
  5. Kedward, Ryan-Collins and Chenet, Biodiversity loss and climate change interactions: financial stability implications for central banks and financial supervisors, 2023
  6. Costanza and others, Changes in the global value of ecosystem services, 2014
05Take part

Take part in the work

Start from who you are.

06Questions

Questions, answers and key terms

Is the course free?
Yes. Every course and learning material of Risk Academy, led by the Nexus Consortium, is free to study, self-paced or with a cohort. Ordinary participation has no fee; paid work, internships and fellowships are separate arrangements.
What does completing a course give me?
A completion record: the course, its version, the date and what was assessed, private by default and shared by you. It stacks into discipline, department and programme achievements. A record states what was studied and assessed and does not certify competence; it is not a licence, a professional title or an employment status.
Where do the data and the places come from?
Every faculty teaches on a twin of a real place built from open data; each layer carries its provider, licence and date, and every result on the Academy states its source. Maps and figures are indicators for teaching, never an assessment of a place.
How do I take part beyond the course?
Form a competence cell of three to seven people, study a shared pathway, take a supervised assignment in the National Working Groups, or bring a cohort from your institution. For organisations.

Key terms

Term

Nature-related financial risk

Risk to firms and financial institutions from their dependence and impact on nature, through physical and transition channels.

Term

LEAP approach

The TNFD process to locate, evaluate, assess and prepare for nature-related issues.

Term

Debt-for-nature swap

A restructuring of sovereign debt in which savings are committed to conservation.

Term

Biodiversity credit

A tradable unit representing a measured positive biodiversity outcome, whose integrity rules are still developing.

ReportsContribute

Contribute evidence from this page.

Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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