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Funding Forest Businesses

An analysis of CAL FIRE's Business and Workforce Development Program grants

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Abstract

To better understand the geographic distribution, success rates, and funding gaps/needs, the Forest Business Alliance undertook a study examining CAL FIRE’s Business and Workforce Development Grants from the first quarter of 2022 through the present. More funding is needed for the Business and Workforce Development Program Grants—application requests far outstrip the available funding. The top grant receiving counties are Tuolumne, Shasta, Humboldt, Plumas, and Tulare. However, the most successful applications (proportion funded/requested) are from Stanislaus, Sutter, Solano, Alpine, and Siskiyou counties. The largest amount of grants awarded went to the Sierra Cascade (61.6%) and North Coast (31.6%) regions. The applicants’ project locations need to be more precise to increase the accuracy of the analysis. Accurate location data for applicants and grantees would also help identify counties and regions with the most need, such as disadvantaged communities.

Keywords:fundingforest businessgapsgeospatial

Chapter updated to include 2025q1 grant awards

1.1Findings

To better understand the geographic distribution, success rates, and funding gaps/needs, the Forest Business Alliance examined CAL FIRE’s Business and Workforce Development Grants from the first quarter of 2022 through the first quarter of 2025.[1]. The analysis of CAL FIRE’s Business and Workforce Development Grants Program found the following:

1.2Background

Prior to European settlement, fires were commonly utilized throughout California by Tribal communities as a tool for managing food, game, disease, and community safety. Approximately 4.4 million acres burned annually in California before 1800 (Stephens et al. 2007). This acreage is far more than in recent years, but likely differs in the total acres burned at high severity. Fast forward—fire suppression, severe drought, and climate change have created forest ecosystems well outside their natural conditions, making them prone to severe wildfires and negatively affecting habitats and communities.

This century’s increase in large fires has underscored the urgent need for forest health projects. These projects aim to thin dense forest stands and reintroduce fire into forested ecosystems (Figure 1.1). However, they have also created a new challenge—excess wood and biomass that pose additional wildfire risks. California is in dire need of more infrastructure and workforce capacity to manage this situation effectively. The USDA Forest Service’s Wood Innovations Grant Program encourages development of wood products and processing at local to regional scales. At the state level, CAL FIRE created the Wood Products and Bioenergy Program with the first grants awarded in 2022. Both programs aim to fund projects that process woody biomass and build capacity for work in the woods.

Simplified forest health theory of change.

Figure 1.1:Simplified forest health theory of change.

1.3Methods

The funding analysis examined awards by county from 2022-2025 for the CAL FIRE Business and Workforce Development Grant Program (Figure 1.2). The funding data is available on CAL FIRE’s Wood Products & Bioenergy website. We extracted the requested and awarded data from the website and added them to an Excel file. We added a sub-categorization of projects by type.

To conduct the analysis, we excluded statewide grants since they could not be geographically assigned. For projects covering multiple counties, we averaged the total requests and awards across each county identified for the project. The data was compiled in Excel and then joined to a county spatial layer (California Tiger Census) and a vegetation layer (Calveg) to create the spatial database.

The spatial analysis was completed using ArcGIS Pro. See Local Bivariate Relationship for an explanation of the bivariate analysis tool. Graphs were produced within Excel using power pivot and pivot charts.

1.4Analysis

1.4.1Awarded

Total amounts awarded by county are shown in Figure 1.2. The darker green counties indicate a higher amount awarded whereas purples and blues indicate lower amounts.

Awarded grants by California County from 2022-25. Numbers in thousands $USD.

Figure 1.2:Awarded grants by California County from 2022-25. Numbers in thousands $USD.

Norcal

Not surprisingly, the highest number of grant requests for the Business and Workforce Development Grant Program is in the northern part of the state, with most from the Sierra Nevada (Figure 1.3). Surprisingly, some agriculturally dominant counties rank highly, e.g., Yolo County, partly because large bioenergy projects were funded there.

Business & Workforce Development grant funding in Northern California.

Figure 1.3:Business & Workforce Development grant funding in Northern California.

Socal

Much of Southern California is characterized by chaparral and desert landscapes, and fire mitigation in this region focuses on preventing ignition sources rather than thinning forests or processing wood products. As a result, there are fewer proposals, and many of the requests are focused on workforce development. Before 2024, only two counties in Southern California had projects with funding: San Luis Obispo and Ventura. However, this changed substantively in 2024 when all but Santa Barbara, Kern, and Imperial Counties had received funding (Figure 1.4). Grant from the region substantially increased for requests in the last grant round of 2025.

Grant funding in Southern California.

Figure 1.4:Grant funding in Southern California.

1.4.2Bivariate

A bivariate analysis, which queries the data by total requests and awards, paints a slightly different picture than the awards analysis (Figure 1.5). Where the success rate is the relationship between funded and requested grants, the lightest shades tend to indicate low success rates, whereas the light blue to dark purple indicates counties with high grant success rates.

Bivariate analysis comparing amounts of requested to awarded grants.

Figure 1.5:Bivariate analysis comparing amounts of requested to awarded grants.

Figure 1.5 reveals some Southern California counties have requested grants but have not been successful (e.g., San Luis Obispo, Kern, Orange, Riverside). Ventura County has a high success rate, with a high percentage of awards requested (shown in light blue). In the rest of the state, Sacramento, San Francisco, Sutter, and Alpine Counties show similar high success rates. In contrast, counties such as Tulare, Plumas, and Shasta have received a substantial amount of funding but have also submitted numerous requests.

1.4.3Gaps

The total funding requests and awards by county reveal the divide between the northern and southern portions of the state (Figure Figure 1.6). The largest number of grants requested and awarded was in the Sierra Cascade Region. Nevertheless, the totals do not fully explain the project quality in the region. For instance, Inyo, Kings, and Merced have not funded any projects. The Forest Business Alliance addresses the lack of capacity in each entity’s ability to apply for grants to strengthen sustainable forest businesses and process more wood, ultimately increasing forest health across the state.

Stacked bar chart of requested and awarded grants by Wildfire Task Force Region and county.

Figure 1.6:Stacked bar chart of requested and awarded grants by Wildfire Task Force Region and county.

Click to zoom figure

Funding by project type showed the most funding for workforce development training, biomass, transportation, and equipment projects (Figure 1.7). Business development, marketing, and thinning projects were the least funded project types.

Awarded grants by project type.

Figure 1.7:Awarded grants by project type.

The number of unfunded projects by county reveals interesting patterns (Figure 1.8). Some counties with the most unsuccessful applications are in the Sierra Cascade Region, e.g., Tuolumne, Shasta, and Plumas. Counties with low success rates submitted fewer proposals, e.g., Inyo, Kings, and Alpine.

Unfunded requests by California County.

Figure 1.8:Unfunded requests by California County.

Click to zoom figure

1.4.4Temporal

The Business and Workforce Development Program funding changed substantially from 2022. Figure 1.9 shows the requested and awarded grants by year and region, with larger amounts requested from the Sierra and Central Coast. However, the Central Coast and Southern California have started to catch up in requests. Socal has not caught up in successful grants, however.

Requested and awarded grants by year and region.

Figure 1.9:Requested and awarded grants by year and region.

Click to zoom figure

1.5Next

The Forest Business Alliance will continue to add new projects to the Business and Workforce Development funding analysis database in response to new grant solicitations. We recommend the following:

1.6Funding

The CAL FIRE Business and Workforce Development Grant Program and Yuba Water Agency provide funding for the Forest Business Alliance. CAL FIRE’s Wood Products and Bioenergy Program manages the BWD grants and works to maintain and enhance California’s wood products infrastructure to support healthy, resilient forests and the people and ecosystems that depend on them.

The Forest Business Alliance provides technical assistance, workshops, and a peer-learning network to increase local and regional capacity for California wood products and forest health. Funding for this project is provided by CAL FIRE’s Business and Workforce Development Grants. Please don’t hesitate to contact us at forestbusinessalliance@gmail.com with any questions or feedback.

Footnotes
  1. New data and analysis will be added during subsequent grant rounds.

  2. Forest product infrastructure development is a state priority for wildfire mitigation. Sustainable infrastructure to process wood biomass in California and workforce development are critical elements of the Roadmap to a Million Acres.

References
  1. Stephens, S., Martin, R., & Clinton, N. (2007). Prehistoric fire area and emissions from California’s forests, woodlands, shrublands, and grasslands. Forest Ecol. Manage. 10.1016/j.foreco.2007.06.005