Integrated Socio-Ecological and Climate Modeling PDF

Integrated socio-ecological and climate modeling ================================================ Veronika Gaube & Helmut Haberl\ WS 2024 [Learning outcomes:] - - - [written exam:] Please be prepared to answer questions on all modeling approaches (six thematic units) such as strengths an...

Integrated socio-ecological and climate modeling ================================================ Veronika Gaube & Helmut Haberl\ WS 2024 [Learning outcomes:] - - - [written exam:] Please be prepared to answer questions on all modeling approaches (six thematic units) such as strengths and weaknesses of each approach, data requirements, basic assumptions, modeling philosophy & principles, applications, possible insights generated by each model type, limitations, etc. 1. Socio Metabolic modeling & option spaces ======================================== 1. Overview -------- - - Strength and weaknesses ----------------------- - - - 3. applications ------------ - - - - 2. System Dynamic Modeling ======================= 4. Overview -------- System Dynamic modeling requires ability of systems thinking - - - [Prerequisite:] complex behavior of systems is the result of accumulation and feedback mechanisms -\> development of causal diagrams and policy-oriented computer simulations **Central Concepts of SDM are:** - - - - - - - - - - - 5. data requirements ----------------- - - - - - 6. modeling philosophy & principles -------------------------------- applications ------------ limitations ----------- - - - 3. Climate Modeling ================ 9. Overview -------- - - - - data requirement ---------------- - - - - - - - - - - - applications ------------ possible insights generated by the model type --------------------------------------------- limitations ----------- 4. Agent-based modeling ==================== 14. Overview -------- 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. key features of social simulation:\ learning, heterogeneity, incentives, networks - - - - - - - - - - - - - - - - - - - - - - - - **Cellular Automata** -\> can be used to model complex social behavior -\> easily translates into geographical maps (GIS) e.g. for land use modeling -\> easily allows spatial representation of social entities - - - modeling philosophy & principles -------------------------------- applications ------------ 5. Participative modeling ====================== 17. Overview -------- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Strength and weaknesses ----------------------- - - - - - - modeling philosophy & principles -------------------------------- - - - - - - - - - - - - - - - -  6. Input-Output modeling (environmentally-extended input-output models) ==================================================================== 20. Overview -------- - - - The economy is dual and circular: - - Strength and weaknesses ----------------------- data requirements ----------------- modeling philosophy & principles -------------------------------- - - - -  **From IO Tables to Environmental Extensions** - - - applications ------------ - - - - - possible insights generated by the model type + limitations -----------------------------------------------------------