Rainfall partitioning by vegetation in China: A quantitative synthesis

Rainfall partitioning into stemflow, throughfall, and interception loss by vegetation alters hydrological biogeochemical fluxes between soil. Here, we compiled a comprehensive dataset of rainfall forests, shrublands, croplands, grasslands in China from 287 peer reviewed papers (71 English 216 Chinese). Based on this dataset, summarized the best-fit functions reported for (in both mm %) as function amount, well thresholds throughfall stemflow initiation. We explored pattern proportions China, performed boosted regression trees (BRT) analysis to model relative effects cross-site biotic abiotic predictors each (%). Our results identified scarcity data, particularly grasslands. A substantial variability flux (mm) could be explained solely with median R2 values 0.91, 0.99, 0.82 loss, respectively, linear most often functions. Significant differences (p < 0.0001) were detected initiating (median: 3.3 mm; interquartile range, IQR: 1.8–5.4 mm) 1.2 0.8–2.2 mm). Stemflow (%) had (IQR) 2.7 % (1.2–6.0 %), that value was 74.3 (66.7–80.3 21.6 (16.3–28.5 (%), respectively. proportion 0.001) 0.01) forests respectively; whereas no significant found among types. BRT indicated eleven examined, six classified determining four predictors. Non-linear partial prevalent. This study avails global readership findings large cache Chinese studies have been inaccessible hitherto, providing mechanistic understanding fluxes.