Temporal Variation and Trend Prediction of Carbon Storage in Subtropical Evergreen Broad-leaved Forest in Jiangxi Province Based on Remote Sensing Images

The dynamic change of forest carbon storage can be monitored by remote sensing technology because the change of vegetation index can reflect the dynamic change of forest carbon storage based on the remote sensing images. Combined with remote sensing estimation model of vegetation and soil carbon storage based on the remote sensing classification area data of subtropical evergreen broad-leaved forest in 2015, the vegetation and soil carbon storage and carbon density of subtropical evergreen broad-leaved forest in Jiangxi province from 1985 to 2015 was estimated by using the remote sensing image data of Jiangxi province from 1985 to 2015. The results showed that the carbon storage and carbon density of subtropical evergreen broad-leaved forest in Jiangxi province had shown an overall increasing trend from 1985 to 2015. The carbon storage of vegetation had increased from 0.1254 GtC in 1985 to 0.2092GtC in 2015, and the carbon density of vegetation had increased from 63.071t/hm(2) in 1985 to 76.31 t/hm(2) in 2015. The soil carbon storage had increased from 0.3820 GtC in 1985 to 0.5474 GtC in 2015, and the soil carbon density had increased from 185.99 t/hm(2) in 1985 to 199.69 t/hm(2) in 2015. At the same time, the change trend of carbon storage in subtropical evergreen broad-leaved forests in Jiangxi province from 2020 to 2035 was predicted. The vegetation carbon storage will achieve 0.2774GtC, 0.2969GtC, 0.3164GtC and 0.3359GtC in 2020, 2025, 2030 and 2035 respectively. The soil carbon storage will achieve 0.5020GtC in 2020, 0.5335GtC in 2025, 0.5650GtC in 2030 and 0.5965GtC in 2035 respectively.