ANNOUNCEMENTS
Global ecosystem degradation poses an urgent challenge to sustainable development and human well-being. Payments for Ecosystem Services (PES) programs have emerged as a pow- erful mechanism to incentivize conservation by compensating stakeholders for providing vital ecosystem services, such as carbon sequestration, water purification, and biodiversity preserva- tion. However, existing PES models often fall short in addressing key challenges: they fail to dynamically value ecosystem services, inadequately account for risk and uncertainty, and ne- glect the institutional frameworks essential for program scalability and equity. This study pro- poses the development of an Integrated PES Model that addresses these gaps. Using dynamic valuation techniques, and Bayesian network analysis for risk-adjusted payments, the model is validated using monte carlo simulations to assess uncertainity and from case analysis of Hi- machal Pradesh. A robust policy framework is introduced for effective implementation of the model.
