摘要

Estimating tropical biomass is critical for establishment of conservation inventories and landscape monitoring. However, monitoring biomass in a complex and dynamic environment using traditional methods is challenging. Recently, biomass estimates based on remotely sensed data and ecological variables have shown great potential. The present study explored the utility of remotely sensed data and topo-edaphic factors to improve biomass estimation in the Eastern Arc Mountains of Tanzania. Twenty-nine vegetation indices were calculated from RapidEye data, while topo-edaphic factors were taken from field measurements. Results showed that using topo-edaphic variables or vegetation indices, biomass could be predicted with an R-2 of 0.4. A combination of topo-edaphic variables and vegetation indices improved the prediction accuracy to an R-2 of 0.6. Results further showed a decrease in biomass estimates from 1162 ton ha(-1) in 1980 to 285.38 ton ha(-1) in 2012. This study demonstrates the value of combining remotely sensed data with topo-edaphic variables in biomass estimation.

  • 出版日期2016-1-2