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oai:data.mendeley.com/t5gy72smjh.3 2026-10-02T11:48:06Z

Ding, Minqian Supplementary data for LUCC simulation and landscape ecological risk assessment in the Tarim River Basin Mendeley Data Table S1. Sensitivity analysis of the landscape ecological risk index (LERI). The disturbance-index weights and land-type fragility scores were perturbed within reasonable ranges across all 115,941 assessment units to test the robustness of the ecological risk results; baseline Jenks natural-breaks thresholds were held fixed for all perturbation scenarios. Under moderate parameter adjustments, the basin-mean ERI and the high-risk cell count fluctuated by less than 1 %, with Spearman spatial correlations above 0.997 (p < 0.001). Scaling the fragility scores altered absolute risk values but not the spatial risk pattern (ρ = 1.000), indicating that the relative spatial risk structure is robust and that the influence of subjective parameter assignment is limited. Table S2. Confusion matrix and class-specific accuracy of the intPLUS land use simulation for 2020. The matrix cross-references the observed 2020 land-use grids (the calibration target) against simulated outputs for six land categories, reporting producer's accuracy (PA), user's accuracy (UA), overall accuracy (OA = 0.972), Kappa coefficient (0.941), and figure of merit (FOM = 0.184). Because the 2020 observation was used in model calibration, these metrics characterize post-calibration reproduction rather than independent validation. PA values exceed 95 % for grassland, forest, and unused land, whereas water bodies and developed land show lower accuracy, mainly due to frequent misclassification between narrow river channels and surrounding unused desert land — a typical feature of arid inland basins. These metrics support the use of the simulated land-use patterns for subsequent multiscenario analysis. Geography Land Use Change Dataset doi:10.17632/t5gy72smjh.3 oai:data.mendeley.com/t5gy72smjh.3 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/t5gy72smjh 2026-10-02T11:48:06Z