Data and code for: Carbon Storage Under Multi-Scenario Land Use Projections: A PLUS-InVEST-OPGD Assessment in the Yixian-Huangshan World Heritage Landscape, China

This deposit contains the complete data and code archive supporting the manuscript "Carbon Storage Under Multi-Scenario Land Use Projections: A PLUS-InVEST-OPGD Assessment in the Yixian-Huangshan World Heritage Landscape, China" (JoVE). The archive includes the full Python 3.11 analysis pipeline (land-cover preprocessing, transition-matrix computation, Markov-CA scenario simulation with fixed random seed, InVEST-equivalent carbon accounting, and OPGD factor/interaction detection with F-test and permutation significance tests), all numerical outputs reported in the manuscript (validation metrics OA=98.5%, Kappa=0.934, FoM=0.100; 2015 baseline 59.4 Tg C; 2050 scenario carbon losses 5.0-14.8%; OPGD q-statistics with p<0.001), the carbon-density parameterization, and the figure-generation scripts. Third-party inputs are the openly licensed CLCD land-cover dataset (Yang & Huang 2021) and Copernicus DEM GLO-30. All results are fully reproducible from this archive.