The USDA Conservation Reserve Program (CRP) works with farmers and landowners to implement conservation management practices on enrolled lands, with paid contracts ranging from 10 to 15 years in length. The CRP Grasslands practices target restoration of agricultural grassland systems by augmenting native vegetation for pollinators, providing habitat for grassland plants and animals, increasing biodiversity, reducing soil erosion, and improving water quality. The USDA’s CRP has been successful in improving the conservation value of millions of acres of farmlands; however, the program currently lacks spatially explicit information on land cover and vegetation within CRP-enrolled tracts.
In partnership with the USDA FSA program, the Conservation Biology Institute (CBI) used a combination of remote sensing and machine learning algorithms deployed on the innovative cloud-computing platform, Google Earth Engine, to map grassland characteristics. We used a rich suite of enviro-climatic data, multiple sources of satellite imagery, and Random Forest modeling techniques to predict land cover for study areas in Washington, Colorado, and Kansas, where CRP Grasslands holdings are most prevalent. We used machine learning to create predictive maps of vegetation type by leveraging an extensive set of satellite-derived variables, environmental layers, and federal survey data (from BLM’s AIM and USDA NRCS’s NRI programs). Our initial investigation utilized Landsat 8 satellite data to model vegetation cover across the Washington study area and then scaled up to the Colorado-Kansas study area. The Washington study site was selected for further model enhancements and an in-depth comparison of Landsat 8, Sentinel-2, and MODIS satellite imagery, to evaluate differences in model development and performance among sensor types. We generated vegetation cover predictions for the year 2019 using Random Forest classification models. Classified outputs for the five vegetation cover models – annual grass, perennial grass, annual forb, perennial forb, and bare soil – were post-processed to exclude water and urban land cover and areas that were not relevant for mapping grasslands.
Mapped outputs showing vegetation percent cover predictions from our pilot project have been integrated into CBI’s CRP online decision support tool. This online tool offers functionality for managers and landowners to view, filter, compare and summarize geospatial information relevant for assessing CRP tracts in the study areas. You will need permission from USDA to use the tool, but it is available at https://crptool.org/. Anyone can view the design of the tool at USDA CRPtool.
You can read more details in the following publication.
Degagne, Rebecca; Pizzino, Declan; Friedrich, Hannah; Gough, Mike; Joseph, Gladwin; Strittholt, James; et al. (2022): Mapping Conservation Reserve Program Grasslands in Washington, Colorado, and Kansas with Remote Sensing and Machine Learning. figshare. Journal contribution. https://doi.org/10.6084/m9.figshare.19141853.v1
The Conservation Biology Institute and the Deschutes Trails Coalition (DTC) are in the process of developing a web-based system to assist the DTC in sustainably managing multi-use trails in Deschutes County. The collaborative process of creating a framework to support DTC’s decision making relies on modeling Environmental, Economic, Physical, and Social Sustainability of recreation activities and trails.
*Images provided by Danielle MacBain at the Deschutes Trails Coalition.
*The DTC Dashboard will include a form-based system to give users the ability to enter or modify information in the trails database.
*Mockup of the DTC Dashboard (Query Tools on the Manage Tab)
Wind energy developed in federal ocean waters off California’s coastline is poised to play an important role in diversifying the portfolio of resources that will help California achieve its 100% renewable and zero-carbon energy goals. Since 2016, the state has coordinated with other governmental partners, including the BOEM-California Renewable Energy Intergovernmental Task Force, to identify areas in federal waters off the state’s coast suitable for potential offshore wind energy development. To support this effort, the Conservation Biology Institute (CBI) is using data from the California Offshore Wind Energy Gateway to produce a robust set of spatial models, designed to synthesize information to help stakeholders and decision-makers assess the suitability of offshore wind energy development in federal waters off the coast of California. These models, created using the Environmental Evaluation Modeling System (EEMS), provide a transparent and data-driven means for assessing a range of considerations at a given location, such as existing energy potential, deployment feasibility, ocean uses, fisheries, and marine life occurrence. Together, these models can be used to inform planning processes for offshore wind energy development to maximize renewable power generation and to avoid or minimize impacts to existing ocean uses and the environment.
The California Offshore Wind Energy Modeling Platform, powered by EEMS Online technology, provides an interface where stakeholders and decision-makers can interact with and explore the models and their data sources to help support decision-making processes.
The project’s technical report, executive summary, and presentation slides are available under “Project Files”, on the right side of this page. A California Energy Commission webinar recording with a project overview can be found here.
Conservation Biology Institute specializes in harnessing the power of spatial data for conservation planning and decision-making. We create tools in close collaboration with state agencies that help them achieve their missions. Recently we’ve had the opportunity to work with the California Department of Food and Agriculture (CDFA).
The CDFA Healthy Soils Program promotes the development of healthy soils on California’s farmlands and ranch lands by providing financial incentives to California growers and ranchers to implement agricultural management practices that sequester carbon, reduce atmospheric GHGs and improve soil health.
Conservation Biology Institute created the CDFA Healthy Soils Program tool, an online tool to streamline the submission process for proposals to the Healthy Soils Program. This tool, a custom module of RePlan, allows a grant recipient to locate and map proposed conservation practices, view and select from recommended species for planting, and conform with multiple project eligibility requirements. All project components are then summarized in a proposal report for upload to the CDFA Healthy Soils Program project submission website.
*Find the tool here: https://sitecheck.opr.ca.gov/
CBI developed the tool for the Governor’s Office of Planning and Research (OPR) in coordination with the Department of Housing and Community Development. The tool was developed in partnership with OPR and is based on public input from partners through interviews, presentations, and workshops. Site Check is an innovative mapping tool that allows users to see if selected parcels may qualify for an existing streamlining option for housing development. The free tool allows users to map various CEQA definitions and filter parcels based on planning, transportation, and environmental criteria. Site Check is a good first step for developers and public agencies considering how California Environmental Quality Act (CEQA) may apply to a housing project. Check out the free tool here Site Check.
This tool is focused on the CEQA provisions that cover a variety of housing types. The Legislature has also created specialized provisions for specific types of projects, including affordable housing, agricultural employee housing, and motel-to-supportive housing conversions.
CBI updated the UI for the tool in 2023 and updated data, including the regional below-average Vehicle Miles Traveled (VMT), 15% below regional average VMT, parcel data, Specific Plans. Check these layers out in the tool or download them from Data Basin.
If you have any questions about Site Check, please feel free to contact Brianne Masukawa, brianne.masukawa@opr.ca.gov.
Conservation Biology Institute is working in partnership with Riverside County Habitat Conservation Agency, Bureau of Land Management, U.S. Fish and Wildlife Service, San Diego Zoo Wildlife Alliance Academy, and others to develop and implement a rangewide conservation plan for the Stephens’ kangaroo rat (Dipodomys stephensi, SKR), a tiny rodent native to Southern California’s shrinking grassland habitats.
The SKR Rangewide Management and Monitoring Plan, developed in collaboration with species managers, researchers, and land owners, complements existing management plans rather than replaces them, recognizing that each location has unique management priorities. Coordinating across local conservation efforts will facilitate collaborative conservation action across the species’ entire range.
The SKR Plan recommends management actions to improve habitat and ameliorate threats from human activities and climate change and provides a standardized monitoring protocol to track the species’ population status and trends. CBI has developed a customized field data collection application using ArcGIS Field Maps, and our SKR data management team supports the field monitoring effort and ensures long-term integrity of the data in partnership with USFWS’ Ecosphere Program.
This work builds upon a habitat suitability model developed in 2019 by Conservation Biology Institute using Sentinel-2 satellite imagery and being updated in time to support the 2024 monitoring season. These updatable landscape-scale habitat maps are the foundation for statistically-defensible monitoring and play a key role in planning coordinated conservation of the species.
This work is funded by the U.S. Bureau of Land Management. For more information about this effort, please contact Wayne Spencer at wdspencer@consbio.org or Brian Shomo at bshomo@wrcog.us.
Please see the SKR Rangewide Management and Monitoring Website for The SKR Rangewide Management and Monitoring Plan and Protocol, as well as other documents, maps, and data from this project.
Stephens’ kangaroo rat (Dipodomys stephensi, SKR). Photo by Moose Peterson.
Conservation Biology Institute (CBI) and American Farmland Trust (AFT), the organization behind the national movement No Farms No Food®, continue to build off their previous work on the San Joaquin Land and Water Strategy. With the support from a Conservation Innovation Grant by the USDA Natural Resources Conservation Service, this phase of work focused on identifying priority areas for groundwater recharge in Madera and Stanislaus counties as well as the greater San Joaquin Valley.
CBI and AFT have compiled informative datasets related to soils, crop types, water infrastructure, and conservation areas in the San Joaquin Valley. These will be located in a San Joaquin Valley Gateway Gallery and mapping tool (with an associated manual) to aid in identifying optimal projects with the greatest potential to increase infiltration and conserve water. These datasets will provide a broad context that will allow for multiple benefits where possible such as locating conservation easements near currently protected areas in the productive farmland regions of Madera and Stanislaus counties, California.
The Project Prioritization Tool (PPT) is a conservation decision-making tool to increase the adoption of water infiltration practices, improve groundwater recharge, and protect agricultural land in the San Joaquin Valley (SJV). This PPT manual was developed by AFT and the Conservation Biology Institute (CBI) based on the data analysis of the San Joaquin Land and Water Strategy report.
Cachuma Resource Conservation District (RCD) is working in partnership with Conservation Biology Institute, LegacyWorks, and Sharyn Main Consulting on the Regional Priority Plan to Reduce Wildfire Risk and Improve Forest Health in Santa Barbara County (RPP), which is a flagship project of the Santa Barbara County Conservation Blueprint. Funded by the California Coastal Conservancy, the RPP helps with the planning, mapping, and prioritization of projects that will proactively address wildfire threat in Santa Barbara County, as well as improve forest and habitat health.
The RPP is a multi-prong collaboration, which focuses on public and private land in the wildland/urban interface (WUI). CBI is the lead for a component of the project, to develop a sophisticated decision-support mapping tool to not only predict areas of high fire-risk on a landscape scale, but also help the community prioritize where fire risk mitigation projects should occur. The tool will serve as a community resource within the Santa Barbara County Conservation Blueprint and should improve communication, network building, and support community priorities through a regional approach to fire resilience and habitat health. The project team is talking with the many agencies and stakeholders involved, and facilitating the collaborative decision-making process.
Destructive wildfires are sudden, extreme events: In a matter of hours, both social and ecological communities are transformed by the loss of homes and lives, and change in natural vegetation. After such an event, residents take stock of their transformed landscape and environment, deciding to remain, rebuild, or move, while ecological communities restructure and regrow. These combined social and ecological responses to wildfire may present a ‘hot moment’ or ‘window of opportunity’ where governments, communities, and residents can take action to reduce the future exposure to disaster.
An interdisciplinary team of researchers, convened by CBI’s Dr. Alexandra Syphard, Dr. Miranda Mockrin from Northern Research Station, USDA Forest Service and Dr. Van Butsic, from the Department of Environmental Science, Policy, & Management at University of California, Berkeley, are examining the question “Do wildfires lead to transformative adaptation, reducing future wildfire risk or do they lead to entrenchment, as residents and institutions re-create hazard-prone environments?”
To examine this question, they will review national data of post-fire housing change (rebuilding, sales, new development, land subdivision) and investigate how social and ecological settings and impacts, as well as event characteristics, influence subsequent housing and ecological trends. They will also determine, at the household scale, how changes in housing patterns relate to the post-wildfire ecological setting and socioeconomic characteristics, determining adaptation or entrenchment.
Wildfire is an important ecological process in California, where a diversity of fire regimes shape the structure and composition of plant and animal communities. Fire regimes are changing beyond their historical range of variability, however, due to several factors, including past fire management, invasive species, land use change, and climate change. These changes not only threaten the integrity and diversity of biological communities, but affect human communities, too, as residential losses to wildfire have skyrocketed in the last several decades. Two of these drivers, land use and climate, are expected to change dramatically in the coming century, raising substantial concern about their effects on fire regimes and subsequent impacts to human communities and biological diversity.
CBI has partnered with University of California, Berkeley to develop and implement a scenario-based integrated modeling framework to quantify the relative importance of climatic and land use factors on current and future projected fire patterns and risk of structure loss for three study areas in California. Select research questions driving this project include:
1) How do patterns of fire activity vary by land use change and climate?
2) How does structure loss vary by land use and climate change?
3) How do these relationships varyby geographic region?
4) Given these relationships, how are large fires and associated structure risk likely to change in the future?
Results of the assembled model output will be distributed to appropriate stakeholders and Data Basin will host the mapped output data.