Short-Term Evapotranspiration Forecasting of Rubber (Hevea brasiliensis) Plantations in Xishuangbanna, Southwest China

Rubber (Hevea brasiliensis) plantations have high water consumption through evapotranspiration, which can contribute to scarcity. In addition, there is a lack of spatial observation data and estimation methods for evapotranspiration (ET) rubber plantations. To alleviate the stress expanding caused by seasonal drought in Xishuangbanna, Southwest China, an up 7 days crop (ETc) forecast method, “Kc-ET0” with limited meteorological data, was proposed using coefficient Kc public weather forecasts. The results showed that average absolute error (MAE) forecasted ETc 0.68 mm d−1, root mean square (RMSE) 0.85 correlation (R) 0.69 during rainy season, while dry season these metrics were 0.52 0.85, respectively. accuracy higher. Additionally, main factor influencing forecast, temperature chosen Hargreaves-Samani (HS) model also considerable. Our suggested short-term plantation forecasting method shows good performance acceptable accuracy, especially season. study provides important basis creating ET-based irrigation scheduling improving regional-scale management