WBF2026-570, updated on 10 Mar 2026
https://doi.org/10.5194/wbf2026-570
World Biodiversity Forum 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Quantifying Biodiversity Related Financial Risks Through Indigenous Ecological EarlyWarning Indicators: A Bayesian Structural Pricing Framework
- Green AI Insititue, New York, United States of America (jz1@fordham.edu)
How to cite: Zhang, J.: Quantifying Biodiversity Related Financial Risks Through Indigenous Ecological EarlyWarning Indicators: A Bayesian Structural Pricing Framework, World Biodiversity Forum 2026, Davos, Switzerland, 14–19 Jun 2026, WBF2026-570, https://doi.org/10.5194/wbf2026-570, 2026.