Species-explicit modelling of forest biogenic volatile organic emissions across China

Data Description This dataset provides monthly biogenic volatile organic compound (BVOC) emission inventories over China for 2019, generated using the Model of Emissions of Gases and Aerosols from Nature version 3.2 (MEGAN v3.2). The inventories were developed to investigate BVOC emission responses under current forest conditions and two afforestation and reforestation (A&R) scenarios. The dataset contains three simulation scenarios: ExistSPE: BVOC emissions based on the species-level forest distribution across China. BIO: BVOC emissions under the largest biomass A&R scenario. HIGH: BVOC emissions under the highest environmental suitability A&R scenario. Model Framework BVOC emissions were estimated using MEGAN v3.2, driven by meteorological fields simulated with the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem v4.2). Compared with the default plant functional type method, the simulations employed an enhanced species-resolved framework integrating: 1. A 1:1,000,000 forest-type distribution map for China. 2. Species-specific BVOC emission factor databases. 3. MODIS LAI products. 4. MODIS land cover classifications. The ExistSPE inventory represents the combined emissions from all 234 dominant tree species included in the model framework. Likewise, BIO and HIGH represent aggregated emissions from all species associated with each respective A&R scenario. Individual species inventories are not included in this dataset. Spatial and Temporal Resolution Spatial resolution: 27 km × 27 km Temporal resolution: Monthly Time period: January-December 2019 Units: ton grid⁻¹ month⁻¹