Evapotranspiration as a key component of the energy balance and hydrological cycle, not only plays an important supporting role in ecosystem stability and water resource management, but is also a crucial indicator for evaluating agricultural water use efficiency. Obtaining high spatiotemporal resolution data can reveal the dynamics of evapotranspiration, which is of great significance for analyzing ecological and hydrological processes. The region studied is rubber plantations in Danzhou city, Hainan province. Based on daily meteorological data from flux tower observations and ten corresponding scenes of Landsat 8 satellite imagery for the same period, the daily evapotranspiration of the rubber plantations in 2022 was estimated using the surface energy balance system (SEBS) model, and the results were validated for accuracy using the eddy covariance method. The results showed that the SEBS estimated daily evapotranspiration values from rubber plantations had a good correlation with the eddy covariance measured values (R2=0.88, RMSE=0.55, RE=18.95%). The daily evapotranspiration exhibited significant seasonal variation, showing that the wet season was significantly higher than the dry season. The maximum daily evapotranspiration occurred on July 31, reaching 4.40 mm, while the minimum daily evapotranspiration occured on January 28 and March 9, both at 1.38 mm. The accuracy of evapotranspiration derived from Landsat 8 imagery was influenced by factors such as vegetation cover and spatial heterogeneity. Therefore, the accuracy of the evapotranspiration varied with distance from the flux tower. Overall, the SEBS model showed the highest accuracy for rubber plantations within 1.5 km of the flux tower (RMSE=0.53, RE=18.08%), while it had the lowest accuracy for areas situated 1.0 km from the tower (RMSE=0.65, RE=22.26%). In conclusion, this study would provide a reference for improving the spatiotemporal resolution of evapotranspiration datasets, reveal the seasonal variability and spatial patterns of evapotranspiration in rubber plantations, and contribute to the development of effective water resource management and regulation policies in rubber plantation ecosystems.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |