By disrupting wildfire regimes, climate and land use change transform ecosystems, alter carbon budgets, and drive socio-economic impacts in California. We propose to quantify how projected peri-urban growth in the wildland urban interface, climate change, and local management actions influence wildfire activity and downstream effects on vegetation transitions, carbon release, biodiversity, and vulnerable human communities. 

 We will model wildfire risk as a function of a limited set of stakeholder-guided, realistic future scenarios, using the LANDIS-II simulation model. Past studies have shown the importance of human ignition location and timing on wildfire activity in Southern California, a mechanism we will explore using different land use change scenarios. 

 We will also model and analyze the potential influence of increasing atmospheric aridity on fire size and severity in forests and compare these effects to adjacent shrubland plant communities. 

 Taken together, climate, land use, and other environmental variables can lead to fire-driven vegetation type conversion, which can influence carbon sequestration, biodiversity, and even future fire risk to human communities. 

  Finally, we will explicitly evaluate how different modeled management actions influence wildfire, plant succession, and carbon sequestration. The resulting maps and spatial products will help managers prioritize locations for conservation and management actions. Overlaying maps of vulnerable human communities and biodiversity hotspots with future wildfire change and downstream impacts can better define locations for priority action to facilitate co-benefits to human and natural resources.   This research will contribute to scientific publications and be directly relevant to managers, including the Southern California Montane Forests Project.

The San Diego Zoo Wildlife Alliance (SDZWA) is a world-renowned conservation organization with a 1800-acre zoo, the Safari Park, that houses more than 2600 animal and 3500 plant species. Located in Escondido (northern San Diego County), the Safari Park also includes a 800-acre biodiversity preserve with some of the most well-preserved, California-endemic coastal sage habitat. 

 In 2007, the Witch fire burned through 600 acres of the biodiversity reserve and stopped just outside the Safari Park borders. Since then, the SDZWA has transformed their in-house wildfire preparedness program, including hiring a team of dedicated wildfire suppression staff, fire suppression equipment boxes scattered throughout the park, an infrared and visible spectrum camera array for early ignition detection, and a 8500-gallon water tank for aerial suppression by local first responders. 

 While these investments in wildfire readiness are important for protecting the Safari Park grounds, landscape-scale risk analyses are needed to determine where fires may start and spread outside of park boundaries and which additional management activities could mitigate risk from fires originating beyond Park borders. Conservation Biology Institute (CBI) and Dudek have proposed to co-create the needed wildfire risk analysis for the SDZWA Safari Park.

 At the core of the risk analysis is a fusion and comparison between two commonly employed modeling efforts used in

CBI is serving as the lead organization in producing a statewide wildlife connectivity ensemble model and associated mapped data in support of a connectivity action plan for the state, which is under development. The modeling will identify priority areas across the state in need of some form of mitigation to promote wildlife connectivity and reduce wildlife/vehicle collisions at the same time. The co-production process includes the close collaboration with an active Technical Advisory Group. All final map products will be made available in Data Basin. The project is being funded by the Washington Department of Fish and Wildlife.

The Giant Sequoia Lands Coalition (GSLC) is a collaboration of public and non-governmental organizations committed to the conservation of giant sequoia grove ecosystems. CBI is supporting the GSLC’s Sequoia Grove Protection and Resiliency Project with tools and assistance that will enable GSLC partners and stakeholders to work collaboratively to protect the species from the impacts of drought, beetles, and wildfire made more intense by climate change.

CBI is using its Data Basin platform (databasin.org) to host the Giant Sequoia Data Portal. The portal will be populated with custom maps of the sequoia groves linked to standard metrics and data for assessing grove condition, fuel treatments, and other range-wide information. To inform this giant sequoia management “dashboard” CBI is working with the GSLC to catalog an extensive collection of assessment, monitoring, and remote sensing datasets created by different agencies and projects over many decades of forest management and research. CBI will train and support the GSLC partners in their use of the Giant Sequoia Data Portal for promoting coordinated scientific research, monitoring, long-term species conservation, and continuing to share new data as it becomes available.

sequoia trees in the sunlight

In the 1850s, immigrants seeking gold in California’s Sierra Nevada mountains created a connected network of open channels, wooden flumes, and pipes to direct water to their operations and the rapidly-growing foothill towns of Sonora, Columbia, and Jamestown. 

170 years later, this historic system is an integral part of the water infrastructure that supports residential, agricultural, hydroelectric, ecosystem, and recreational purposes, providing nearly all of the drinking water to the west slope communities of Tuolumne County. Tuolumne Utilities District (TUD), the agency responsible for managing the 70-plus miles of raw water ditches and potable water infrastructure, is contending with a modern-day concern: the threat of severe wildfire.

Conservation Biology Institute is proud to partner with EN2 Resources, Inc. and the Tuolumne Utilities District (TUD) to develop the TUD Wildfire Defense Plan, a roadmap for addressing wildfire risk to the water system and water treatment facilities.

The TUD Wildfire Defense Plan will have two components: CBI is heading up a Wildfire Risk Mitigation Plan to guide projects that achieve fuels reduction, habitat enhancement, and recreation benefits. EN2 is developing a Wildfire Protection Draft-Points Plan for strategically identifying raw water draft-points along the raw water ditches for fire response and preserving precious potable water.

This section of flume of called “Flume A” is a one mile long gold-rush era wooden structure that diverts water from the south fork of the Stanislaus River to a branching system of earthen channels and other shorter sections of flumes below. Laborers in the 1800’s, sometimes hanging from ropes in the steep canyons, built this and the four other wood and metal flumes of Tuolumne County to supply high-pressure water to hydraulic mining, sluicing operations, and lumber mills.

Together these plans will help TUD manage the system as “green infrastructure”, a vision that addresses the integrated needs of people, the communities, and biodiversity under climate change. TUD, together with Pacific Gas & Electric, the US Forest Service, CALFIRE, Tuolumne County, Tuolumne Fire Safe Council and the Tuolumne Band of Me-Wuk Indians are already working intensively to reduce fuels in the region, and this Plan will assist the agency in obtaining the funding needed to continue this important work.

The TUD Wildfire Defense Plan will be completed by the end of the year. Funding for this project comes from the USDA Forest Service Community Wildfire Defense Grant.

The USDA Conservation Reserve Program (CRP) works with private landowners to advance conservation on their lands. This voluntary program currently comprises over 20 million acres making it an extremely important component of conservation in America. Management actions taken on enrolled lands include augmenting native vegetation for pollinators, providing habitat for grassland plants and animals, increasing biodiversity, reducing soil erosion, and improving water quality.

CBI is working with USDA to improve the efficiency and effectiveness of the program as it strives to expand enrollment in the coming years. Working in several pilot states (Mississippi, Kansas, Colorado, Washington, Nebraska, and the Dakotas), CBI will be focused on the following tasks:

USDA CRP Toolkit (Pilot) chart explaining the process

A Framework Resource Management Plan (F-RMP) for the Montecito Ranch Preserve was developed jointly by Jessie Vinje, CBI, Michael White, Endangered Habitats Conservancy (EHC), Steve Montgomery, ECORP Consulting, Inc., and the San Diego Management and Monitoring Program (SDMMP) in coordination with the United States Fish and Wildlife Service (USFWS), California Department of Fish and Wildlife (CDFW), and the U.S. Department of Defense.  The F-RMP aligns preserve-level management and monitoring with the regional Management and Monitoring Strategic Plan (MSP Roadmap) for conserved lands in western San Diego County (SDMMP and TNC 2017).  The MSP Roadmap provides regional and preserve-level goals and objectives for prioritized species, vegetation communities, and threats, and includes recommendations from regional planning documents. Together with its partners, CBI developed the F-RMP over 2.5-years by compiling and reviewing existing documents, literature, and spatial datasets, conducting rapid assessment surveys for biological resources, and meeting with species and regional experts.

The Preserve is a 955-acre perpetually conserved property located in west-central San Diego County near the town of Ramona.  The Preserve is contiguous with the County of San Diego’s Ramona Grasslands County Preserve (Ramona Grasslands) and is located within the original Rancho Valle de Pamo (also called Rancho Santa Maria) Spanish land grant and on historical Kumeyaay land. 

Montecito Ranch lies within the North County Multiple Species Conservation Plan (NCMSCP), a draft NCCP area, but was originally slated for development.  EHC acquired the 955-acre ranch on June 10,2020, with funding from Section 6 of the Federal Endangered Species Act (ESA) of 1973, as amended.  Specifically, two habitat conservation plan land acquisition grants associated with the County of San Diego Multiple Species Conservation Program (MSCP) were awarded funding for the acquisition of land that complements the MSCP and benefits covered listed and unlisted species.  The California Wildlife Conservation Board (WCB) provided funding including the requisite non-federal matching funds for Section 6 grants and the U.S. Department of Defense provided 50% of the acquisition cost through its Readiness and Environmental Protection Integration (REPI) program, leveraged additional acquisition funding.

Montecito Ranch supports the federally threatened coastal California gnatcatcher (Polioptila californica californica), federally endangered San Diego fairy shrimp (Branchinecta sandiegoensis) and federally endangered Stephens’ kangaroo rat (Dipodomys stephensi) in addition to providing foraging and wintering habitat for raptors including golden eagle (Aquila chrysaetos canadensis) and other birds, and habitat for reptiles, amphibians, and mammals including American badger (Taxidea taxus).  The Preserve supports vernal pools including the rare southern tarplant (Centromadia parryi subsp. australis), oak woodlands including the rare Engelmann oak (Quercus engelmannii), grasslands, coastal sage scrub, and chaparral habitats.

Location of the Preserve in San Diego County, California

Linkage Mapper is a GIS toolbox designed to support regional wildlife habitat connectivity analyses. It consists of several Python scripts, packaged as an ArcGIS toolbox, that automate mapping of wildlife habitat corridors. The toolbox is comprised of six tools, described below. 

The primary and original tool in the toolbox is Linkage Pathways. Linkage Pathways uses GIS maps of core habitat areas and resistances to identify and map linkages between core areas. Each cell in a resistance map is attributed with a value reflecting the energetic “cost”, (i.e. difficulty and mortality risk) of moving across that cell. Resistance values are typically determined by cell characteristics, such as land cover or housing density, combined with species-specific landscape resistance models. As animals move away from specific core areas, cost-weighted distance analyses produce maps of total movement resistance accumulated.

The Linkage Pathways tool identifies adjacent (neighboring) core areas and creates maps of least-cost corridors between them. It then mosaics the individual corridors to create a single composite corridor map. The result shows the relative value of each grid cell in providing connectivity between core areas, allowing users to identify which routes encounter more or fewer features that facilitate or impede movement between core areas. Linkage Pathways also produces vector layers that can be queried for corridor statistics.

The Columbia Plateau in eastern Washington supports productive farmland and rangeland as well as native shrub-steppe habitat of which only 40% remains intact. The region also contains some of the most sought after land in the state for utility scale solar energy development, which is an important component of its future energy portfolio that strives to produce 80% of the state’s electricity from renewable sources by 2030 and 100% carbon-free by 2040. 

CBI has been chosen by the Washington State University Energy Program to provide the science and mapping component in support of a voluntary, collaborative effort that brings stakeholders together in order to identify areas of least-conflict between solar energy development and other important ecological, economic, and social values in order to meet the state’s carbon-free energy goals. CBI’s contribution to this process is based on the successful pilot to this approach in the San Joaquin Valley in California. The project will include a new Data Basin gateway, which is a customized site for accessing the science and mapping resources for this project.

See the recent brochure published by Washington State University for more information.

This report evaluates the impact that administrative and ecological constraints might have on the amount of forest biomass that could be extracted for energy use in the Southeastern U.S. Using available spatial datasets, we quantified and mapped how the application of various “conservation value screens” would change previous estimates of available standing forest biomass (Blackard et al. 2008). These value screens included protected areas managed for conservation values, USDA Forest Service and Bureau of Land Management (BLM) lands, steep slopes, designated critical habitat for federally-listed threatened and endangered species, inventoried roadless areas, old-growth forests, wetlands, hydrographic (lake, stream, and coastline) buffers, and locations of threatened and endangered species (G1-G3, S1-S3).

Two alternative combinations of values were examined: in Alternative 1, all areas within value screens, including all Forest Service and BLM lands, were excluded from biomass development. In Alternative 2, Forest Service and BLM lands not afforded extra protection by such designations as wilderness or research natural areas were assumed available for biomass extraction; all other values continued to be excluded from extraction. In both alternatives, biomass located within the Wildland-Urban Interface (WUI) was assumed available for extraction regardless of conservation value screens.

The analysis was conducted at 100-m x 100-m resolution. Summary statistics were derived at three scales – entire study area, 13 states, and 24 World Wildlife Fund (WWF) ecoregions. Results were also summarized and mapped for all 1,342 counties.

Finally, we compared hydrologic datasets at two different scales (1:24,000 and 1:100,000) at multiple sample areas in the study area to evaluate how hydrologic scale might affect the delineation of riparian reserves and resulting estimates of biomass availability.