C-BREC 2.0 Residue base

This dataset includes modeled results of the current forest state (in 2025 and 2030) and considering a variety of forest silvicultural treatments (11). Results from the forest treatment modeling were processed to build a database of estimated residue masses and characteristics. This was done on a 30 x 30m resolution across all forested areas in California. (This database reports for each of the 30x30m forested lands in California, mass of bone dry wood and mass of carbon in trees cut under 11 different silvicultural treatments and 2 treatment years (2025, 2030).Generating this database was a joint effort between the team at Spatial Informatics Group (SIG) and the team at Schatz Energy Research Center (SERC). This effort makes use of the best available public domain databases and tools. Broadly the approach is as follows.• The foundation is TreeMap 2016, a dataset produced by the US Forest Service (Riley et al., 2019) which uses remote sensing (LANDFIRE) to relate Forest Inventory Analysis (FIA) surveyed plots to each forested 30x30m pixel in the western US.• United States Forest Service (USFS) Forest Vegetation Simulation (FVS), is used to model forest growth, disturbances and silvicultural treatments.• FVS tree level “cut lists” (estimates of each cut tree size and species) are used in conjunction with FIA National Scale Volume and Biomass Estimators (NSVB) methods to estimate mass and carbon in the harvested trees.