Spatio-Temporal Evolution and Prediction of Carbon Storage in Guilin Based on FLUS and InVEST Models

In the context of sustainable development and dual-carbon construction, to quantify carbon storage its spatial-temporal distribution characteristics Guilin City predict in 2035 under different future scenarios, this study set four scenarios based on SDGs plan City: natural development, economic priority, ecological development. At same time, FLUS InVEST models GeoDa 1.20and ArcGIS software were used establish a coupling model land use change ecosystem simulate future. The results showed that: (1) From 2005 2020, forest was main type Guilin, cropland impervious continued expand. 2035, will be an important transformation type; (2) northwest relatively high, loss area larger than increase area. priority scenario is highest, reaching 874.76 × 106 t. aboveground (ACG) pool Guilin. Most regions with high are located northeast No matter what scenario, urban maintained at low level; (3) has strong spatial positive correlation, more hot spots cold spots. high-value areas concentrated east, whereas low-value