Data and code for “Optimising climate-resilient dryland restoration: An integrated framework combining Bayesian inference, causal machine learning, and process-based erosion modelling
收藏Figshare2025-11-20 更新2026-04-08 收录
下载链接：
https://figshare.com/articles/dataset/Data_and_code_for_Optimising_climate-resilient_dryland_restoration_An_integrated_framework_combining_Bayesian_inference_causal_machine_learning_and_process-based_erosion_modelling/30664403/1
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资源简介：
This dataset contains supplementary materials for the manuscript, including field experiment data (Dataset S1), WEPP model outputs (Dataset S2), modeling scripts (Script S1), Additional figures and tables, and WEPP input descriptions. These files support analyses of runoff, soil loss, and nutrient transport under shrub density gradients and restoration phases on the Loess Plateau.
提供机构：
Ame, Michael; Wei, Wei
创建时间：
2025-11-20
