This study aimed to develop a stand yield table for Acacia mangium plantations in Vietnam and to analyze their economic feasibility. Field measurements were conducted across 12 temporary sample plots established in A. mangium plantations aged 1–7 years in northeastern Vietnam, using a chronosequence sampling design. Based on this, regression analyses were performed to develop stand growth models for DBH, H, SD, BA, and V. NPV measures the absolute value of the investment at a specified discount rate (4.0%, 5.5%, and 7.0%), while IRR identifies the break-even discount rate. At rotation ages of 5–7 years, IRR values are negative—a mathematically valid result arising from non-conventional cash flow structures in which Norstrom’s sign-change criterion is not satisfied; positive IRR values (~4%) are obtained from rotation age 8 onward. A sensitivity analysis confirmed that increasing yields is the most effective strategy for increasing plantation viability. This study serves as a fundamental resource for plantation projects in Vietnam and emphasizes the necessity of management improvements to create sustainable plantation operations.

Inland wetlands store disproportionate soil organic carbon (SOC), yet spatially explicit information is scarce for temperate monsoon riverine wetlands, where recurrent erosive flooding shapes carbon accumulation. To map depth-resolved SOC stocks (kg C m⁻²) and evaluate satellite covariates, we combined stocks measured at 494 sites in the Han, Geum, and Yeongsan–Seomjin river basins, South Korea, with multi-temporal Sentinel-2 and terrain covariates in random forest models at 20 m for the organic layer, 0–30 cm, and 0–100 cm. Cross-validated R² (squared correlation) was low (0.21, 0.18, and 0.15, respectively) but within the range reported for wetland SOC mapping. Satellite covariates raised R² by 0.02–0.07 and reduced the root mean square error (RMSE) relative to a non-satellite baseline; dormant-season reflectance added no information. The April normalized difference vegetation index (NDVI) ranked highest for both mineral-soil layers, while hydrology and parent material gained importance at 0–100 cm. NDVI showed a threshold-type partial-dependence response despite weak rank correlations; one plausible interpretation is that vegetation cover indicates the geomorphic stability of the ground surface. The model-based regional stocks are 3.11 and 6.08 Mt C at 0–30 and 0–100 cm (27.7 and 54.1 t C ha⁻¹), at the low end of published values for Asian monsoon riverine wetlands. The maps provide a baseline for carbon assessment.