Increasing warming and atmospheric aridity dictate the diminishing returns of vegetation greening in China

This repository contains the results of soil erosion and carbon sequestration in China calculated using multi-source data and the driving factor data used for conducting driving mechanism analysis. The data period is divided into historical period (1990-2024) and future simulation data (2025-2100). The data is spatial raster data in tif format, which can be analyzed on multiple platforms such as ArcGIS and R software. Description: Specifically, it includes the following files: Historical1990-2024: Results of soil erosion (SE) and total carbon sequestration flux (TCSF) during historical periods (1990-2024).Future2025-2100_SE: Multi-scenario simulation results of soil erosion (SE) from 2025 to 2100.Future2025-2100_TCSF: Multi-scenario simulation results of total carbon sequestration flux (TCSF) from 2025 to 2100. SE: soil erosion.TCSF: total carbon sequestration flux.mean: The mean value over a period of time.Sen_Slope: The value of Sen‘s trend.Sen_Pvalue: The significance test results of trend analysis.BL: Baseline scenario. Future LAI is locked at the 2024 level to purely assess the direct impact of climate change on existing vegetation stock.DG: Dynamic greening scenario. Future vegetation growth trajectories are linked to key milestones in China’s national macro-strategy. Compared to the 2024 baseline, LAI was projected to increase linearly by 8.33% up to 2035 (aligning with the "Beautiful China" initiative milestone), followed by a further linear increase of 7.69% up to 2060 (aligning with the carbon neutrality milestone). After 2060, vegetation will remain at its final evolutionary state. This scenario aims to assess the limits of effectiveness of an idealized afforestation policy under extreme climate conditions.ssp126/ssp245/ssp370/ssp585: Future simulation data involve emissions scenarios driven by different socioeconomic models, namely Shared Socioeconomic Pathways (SSPs).Absolute: The absolute quantity of ecosystem services.AME_LAI: Marginal efficiency (benefits) of LAI index