1. Background
Tropical coastal ecosystems (mangroves, seagrass beds, and coral reefs) form a continuous Source-to-Sea system that is increasingly vulnerable to ocean-climate dynamics, such as Marine Heatwaves (MHWs), sea-level rise, and ocean acidification. To precisely map habitat shifts and support the MMAF 30×45 Vision, it is essential to couple hydrodynamic modeling with Species Distribution Models (SDMs/MaxEnt), coastal ecology, and marine Big Data analytics.
The “China-Indonesia International Workshop on Predictive Species Distribution Modeling (SDMs), Ecosystem Connectivity, and Big Data Utilization under Climate Change” is jointly organized by Bandung Institute of Technology (ITB), National Research and Innovation Agency (BRIN), and the First Institute of Oceanography (FIO-MNR), China under the framework of the Indonesia-China Center for Ocean and Climate (ICCOC). This one-day international workshop brings together high-level plenary sessions, bilateral knowledge exchanges, and technical insights on coastal resilience, mangrove Blue Carbon, and marine Big Data.

2. Objectives
Knowledge & Technology Transfer: Equip participants with foundational insights into ecological modeling (SDMs/MaxEnt), marine Big Data analytics, and hydrodynamic modeling for coastal climate adaptation.
Coastal Resilience Strategy: Explore science-backed adaptation frameworks, community resilience, and mangrove Blue Carbon utilization to mitigate climate impacts on coral reef ecosystems.
Bilateral Collaboration: Strengthen human resource development and strategic policy alignment between Indonesia and China (ICCOC) in support of national conservation targets (MMAF 30×45 Vision).

3. Key Deliverables
SDMs & Big Data Capacity Building: Enhanced understanding of SDMs/MaxEnt modeling techniques, hydrodynamic predictors, and climate-ecological Big Data analytics for marine spatial planning.
Workshop Certificate of Participation: Official international workshop certificate issued jointly by ITB, BRIN, and FIO-MNR China (ICCOC).