Supplementary data for "Integrating cross-scale sustainability and ecosystem integrity for adaptative scenario planning in China"

This repository contains supplementary materials for "Integrating cross-scale sustainability and ecosystem integrity for adaptative scenario planning in China".Climate change calls for adaptive strategies to manage land system across governance levels, as differing multi-level policies distinctly shape land system and long-term ecosystem resilience. This paper proposes an iterative approach for optimizing land-use pathways that balance competing policy objectives across national, provincial, and local levels without compromising ecosystem integrity in a changing climate. This approach was applied to the Huangshui River Basin on China’s Qinghai-Tibet Plateau, a region facing significant challenges from climate change and human activities. We integrated the land-use change model CLUMondo with the dynamic vegetation model LPJ-GUESS to compare our SUSDEV pathway against scenarios based on plans prioritizing national, provincial, and local governance objectives. The analysis revealed considerable mismatches in management goals across governance levels within the Huangshui River Basin, emphasizing the necessity of multi-scale coordination to align planning objectives to achieve desired goals. This study offers an optimization approach to quantitatively assess trade-offs or balance sustainability goals and ecosystem integrity in response to system feedbacks, providing valuable insights into the integration of conflicting sustainability goals at multiple scales for the given socio-ecological systems.This repository contains the input data and results for CLUMondo and LPJ-GUESS used in the Huangshui case study. The input data for CLUMondo, including DEM, population, distance to roads, and other relevant datasets, can be found in the 'CLUMondo Input' folder. The CLUMondo results, along with the data for Figures 4, 7, and 8, can be found in the 'CLUMondo Results' folder. The LPJ-GUESS results and the data for Figures 3, 5, 6, 9, and 10 are located in the 'LPJ-GUESS Results' folder. And supplementary data is available in the 'Auxiliary Data' folder.