Annual biomass data (2001-2021) for southern California: above- and below-ground, standing dead, and litter
Creators: name: Schrader-Patton, Charlie C.
name: Underwood, Emma C.
Publisher: name: Zenodo
Year: 2022
Subjects: chaparral
land cover
Landsat
public lands
resource management
USDA Forest Service

description: Biomass estimates for shrubland-dominated ecosystems in southern California have, to date, been limited to national or statewide efforts which can underestimate the amount of biomass; are limited to one-time snapshots; or estimate aboveground live biomass only. We developed a consistent, repeatable method to assess four vegetative biomass pools from 2001-2021 for our southern California study area (totaling 6,441,208 ha), defined by the Level IV Ecoregions (Bailey 2016) that intersect with USDA Forest Service lands (Figure 1).We first generated aboveground live biomass estimates (Schrader-Patton and Underwood 2021), and then calculated belowground, standing dead, and litter biomass pools using field data in the peer reviewed literature (Schrader-Patton et al. 2022) (Figure 2). Over half (52.3%) of the study area is shrubland, and our method accounts for three post-fire shrub regeneration strategies: obligate resprouting, obligate seeding, and facultative seeding shrubs. We also generate biomass estimates for trees and herbs, giving a total of five life form/life history types. These data provide an important contribution to the management of shrubland-dominated ecosystems to assess the impacts of wildfire and management activities, such as fuel management and restoration, and for monitoring carbon storage over the long-term. The biomass data are a key input into the online web mapping tool SoCal EcoServe, developed for US Department of Agriculture Forest Service resource managers to help evaluate and assess the impacts of wildfire on a suite of ecosystem services including carbon storage. The tool is available at https://manzanita.forestry.oregonstate.edu/ecoservices/ and described in Underwood et al. (2022). <strong>REFERENCES </strong> Bailey, R.G. 2016. Bailey's ecoregions and subregions of the United States, Puerto Rico, and the U.S. Virgin Islands. Forest Service Research Data Archive. (Fort Collins, Colorado). https://doi.org/10.2737/RDS-2016-0003 Schrader-Patton, C.C. and E.C. Underwood. 2021. New biomass estimates for chaparral-dominated southern California landscapes. Remote Sensing, 13, 1581. https://doi.org/10.3390/rs13081581 Schrader-Patton et al. 2022. "Estimating Wildfire Impacts on the Biomass of Southern California's Chaparral Shrublands." Proceedings for the Fire and Climate Conference May 23-27, 2022, Pasadena, California, USA and June 6-10, 2022, Melbourne, Australia. Published by the International Association of Wildland Fire, Missoula, Montana, USA. Underwood et al. 2022. "Estimating the Impacts of Wildfire on Chaparral Shrublands in Southern California using an Online Web Mapping Tool." Proceedings for the Fire and Climate Conference May 23-27, 2022, Pasadena, California, USA and June 6-10, 2022, Melbourne, Australia. Published by the International Association of Wildland Fire, Missoula, Montana, USA.
description: The biomass raster layers are packaged in zip files for each year using the following naming structure: WWETAC_UCD_SoCal_Biomass_XXXX.zip Where XXXX is the year of the biomass estimates. Within each zip file are the following files: WWETAC_UCD_ &lt;biomass pool&gt;_XXXX_g_m2.tif Where &lt;biomass pool&gt; is either above_ground, standing_dead, litter, or below_ground and XXXX designates the year. The dimensions of the geotiff raster files is 21243 columns by 13618 rows and the bounding box coordinates are 36.79, -121.96 (upper left) and 32.47, -115.23 (lower right), in decimal degrees. The rasters are unprojected and in the WGS84 (WKID 4326) geographic coordinate system (decimal degrees). Pixel size is .000317 x .000317 decimal degrees, approximately 35m x 29m depending on latitude. Intended users of this dataset include resource managers, researchers who are carrying out biogeographic studies, and people needing vegetation biomass estimates across this landscape. This dataset is made available under a CC0 license.Funding provided by: U.S. Forest Service<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/100006959<br>Award Number: Funding provided by: State of California Department of Forestry and Fire Protection (CalFire)*<br>Crossref Funder Registry ID: <br>Award Number: