CBI is collaborating with the United States Department of Agriculture (USDA) and the Farm Service Agency to produce an online application depicting ecological and economic features across Bottomland Hardwood Forest Conservation Reserve Program lands in the state of Mississippi. The Conservation Reserve Program (CRP) pays landowners to maintain these Bottomland Hardwood Forests providing important ecological benefits such as removing nitrogen and phosphorus from water, storing flood waters and reducing downstream flooding, trapping sediment, and promoting carbon sequestration. These benefits provided by the CRP are in addition to the restoration and enhancement of wetlands and wildlife habitat. The key ecological and economic features across these CRP lands will be estimated using remote sensing satellite imagery from the Sentinel satellite platform and machine learning modeling using a random forest approach. Additionally CBI staff will be conducting on the ground assessments of the ecological metrics during the 2019 field season.
By providing an online platform that provides metrics on these CRP lands, the USDA Farm Service Agency will be able to better monitor and evaluate existing acres of Bottomland Hardwood Forests that are part of the Conservation Reserve Program. This project is a pilot to determine the utility of the online platform and remote sensing methods, which if proven useful can be expanded to all regions where the CRP restores and enhances Bottomland Hardwood Forests.
The Random Forest modelling process was used to estimate various forest biometric measurements like biomass, density, height, etc., for CRP lands in Mississippi. These were also converted to economic values using standard procedures. We used Forest Inventory and Assessment (FIA) as training data and used field samples to augment the validation of the modelling process. Predicated outputs collected All these outputs were spatialized and incorporated into a customized tool for the USDA Conservation Reserve program.
The CRP tool allows USDA staff, land owners, and third-party organizations to view pertinent spatial information and guide decision making in relation to the status of CRP farms in Mississippi state. This tool allows one to summarize, filter and compare CRP farm tracts across counties and watersheds. You can also download reports in either of two appropriate formats (PDF or CSV). We have also included three different base layers, and relevant contextual data layers that you can view in relation to the CRP farm tracts. You will need permission from USDA to use the tool, but it is available at www.crptool.org. Anyone can view the design of the tool at https://www.sketch.com/s/feba6e2a-ff3e-4c3c-8d2d-9ea4f6bdc896.
CBI initially developed predictive maps of tree height, tree density, biomass, basal area, and forest type using Random Forest machine learning models. Numerous satellite-derived indices from the European Space Agency’s (ESA) Sentinel-1 and Sentinel-2 sensors, in addition to soils and topography data, were used as predictor inputs. We then refined these predictive models, focusing primarily on biomass improvements, by implementing new methods for processing Sentinel-1 imagery on the cloud computing platform Google Earth Engine (GEE); significantly updating model code; and incorporating preliminary data products derived from NASA’s spaceborne LiDAR mission – the Global Ecosystem Dynamics Investigation (GEDI). We refined the GEDI LiDAR-derived data products and included them in our models, and overall accuracy for the four forest regression models ranged from 57% to 91%. The Biomass model saw the greatest improvement in accuracy with the R2 increasing by 8%, from 49% to 57%. The Basal Area and Tree Height models both had minor 1-2% increases in accuracy, while the Tree Density model had no improvement. The Forest Type classification model had a negligible improvement in overall accuracy, however, the Elm/Ash/Cottonwood class increased in accuracy by ~6%, from 64% to 70%.
You can get more details in this publication. Degagne, R., Pizzino, D., Friedrich, H, Gough, M., Joseph, G., Iovanna, R., Smith, C. and Strittholt, J. 2022. Mississippi CRP Forest Remote Sensing with Preliminary Global Ecosystem and Dynamics (GEDI) Mission Derived Data Products. CBI Technical Report 2022-1. 40 pp. (10.6084/m9.figshare.19142147)
Wildfires are becoming larger and more severe, causing negative impacts on our natural ecosystems. These post-fire impacts include invasions of exotic plants and an increase in the risk of mudslides, erosion, and siltation of important stream habitat. It is a daunting challenge for resource managers to determine where restoration can do the most good.
In this pilot project, CBI worked with the Santa Barbara Botanic Garden to develop and test online software coupled with a citizen-science process that helps resource managers identify the best candidate locations for restoration in the aftermath of the Thomas and Whittier Fires in Santa Barbara County.
Spatial data about the landscape are combined in a model that provides a preliminary prioritization map, which is then refined using field observations of professionals and community scientists in the Spring following a fire. The sites can then be visited in person to make the final decision about where to focus restoration efforts to maximize the return on the investment.
Figure 1. A flow chart displaying the steps involved in prioritizing areas for post-fire restoration
The community scientists used iNaturalist to record their observations and assist in identifications. You can see the more than 5,000 observations collected so far on iNaturalist here!
How You Can Learn More :
Watch this short video about the project.
View the model with prioritized restoration locations here.
Explore the restoration prioritization map together with other important data layers and photographs in Data Basin.
Read more technical details in this article.
Email john.gallo@consbio.org to be notified of community science opportunities when they arise.
The Stephens’ kangaroo rat (Dipodomys stephensi) is an endangered mammal of grassland habitats in southern California. CBI is helping to conserve the species using satellite technology and advanced mapping techniques.
Kangaroo rats (or Krats, as biologists often call them) are seed-eating rodents restricted to arid regions of southwestern North America. The 20 or so Krat species are biologically similar to jerboas of the Mideast–and like mideastern jerboas and the kangaroos of Australia, they use their large hind limbs to bound efficiently and elusively through open habitats, especially deserts and grasslands. Being mostly nocturnal, Krats also have huge eyes for night vision and keen ears for hearing predators, like owls and foxes.
Stephens’ kangaroo rat (or biological shorthand, SKR) occupies open, undeveloped grasslands in western Riverside and San Diego counties in southern California. Because much of their habitat has been paved over and fragmented by development, the SKR was listed as Endangered under the the US Endangered Species Act and Threatened under the California ESA in the 1980s. Numerous ecological reserves have since been established to conserve remaining populations. Unfortunately, these scattered Krat reserves are not consistently managed, monitored, or even understood by the responsible resource management agencies, largely because it is difficult to map and track suitable habitat conditions over space and time. Traditional habitat variables, such as vegetation and soil types, are not nuanced enough to reflect the on-ground conditions that SKR need, and management and monitoring approaches differ amongst the reserves.
CBI is helping remedy this situation by using satellite imagery and innovative habitat modeling techniques to develop reliable statistical models to map habitat suitability across the species’ geographic range. In partnership with the US Fish and Wildlife Service, the Riverside County Habitat Conservation Agency (RCHCA), and species experts, we are developing a coordinated approach to mapping SKR habitat suitability to manage and monitor the species in a more scientifically consistent and justified manner. Specifically, we are using European Sentinel-2 satellite imagery, in concert with other reliable geographic data, to develop habitat suitability maps that can be routinely updated over time across the species range as conditions change. The resulting models will be used to inform management and monitoring efforts to conserve and recover this charismatic endangered species.
CBI is playing a key role in improving the health and resilience of wetland ecosystems in Southern California in a partnership with the Southern California Wetlands Recovery Project (SCWRP). The newly-released Marsh Adaptation Planning Tool provides data access and decision-support technology for SCWRP’s new Regional Strategy 2018, a recovery plan for tidal and non-tidal wetlands from Point Conception to the Mexican border.
Above: The Marsh Adaptation Planning Tool homepage, with access to the Regional Strategy 2018, the spatial data that informed its development, and a special tool for planning projects that will contribute to its Work Plan.
Above: The MAPT’s “Quick-Start Map” that allows the user to explore Southern California’s wetlands. Layers depicting historical and present-day wetlands, important transitions zones, and other features can be turned on and off for quick comparison. The map and its data layers can be downloaded for use in GIS, or saved and used with any other layers in Data Basin.
Above: The Marsh Adaptation Planning Tool’s project planning utility, where project proponents can use Regional Strategy 2018 spatial data, habitat types, and goals and objectives to inform the planning of a project and apply to have it included in the SCWRP Work Plan.
The Micronesia Challenge is a commitment by the Republic of Palau, Guam, the Commonwealth of the Northern Mariana Islands, the Federated State of Micronesia, and the Republic of the Marshall Islands to preserve the marine and terrestrial resources that are crucial to the survival of the Pacific traditions, cultures and livelihoods. The overall goal of the Micronesia Challenge is to effectively conserve at least 30% of the near-shore marine resources and 20% of the terrestrial resources across Micronesia by 2020. The USFS Forest Inventory and Analysis (FIA) team, regional partners and CBI developed the Micronesia Challenge Regional Terrestrial Monitoring Initiative tool (mcterrestrialmeasures.org) to allow users to visualize the spatial data from the Micronesia Challenge monitoring effort by regional framework indicator(s) that measure the status of managed conservation areas set aside under the program. Forest data were collected between 2003 and 2018 and are now being used to determine the status and trends in forest area, forest health, understory vegetation, biomass, and carbon storage.
CBI has partnered with the Paulson Institute (PI), the Foreign Economic Cooperation Office (FECO) of the Ministry of Environmental Protection of China (MEP), and the State of California to provide FECO with an Environmental Risk Screening Tool that will help guide Chinese international investment projects. The overarching goal of the tool is to significantly reduce negative environmental impacts as the result of Chinese development projects around the world.
The screening tool will include interactive mapping of biodiversity and environmental data against which potential development projects can be evaluated. The tool will include a standard Biodiversity Impact Analysis using a set of internationally recognized datasets (e.g., Key Biodiversity Areas, Critical Natural Habitat, Alliance for Zero Extinction sites, and Protected Areas). The tool will also include regional and country-level biodiversity and environmental data in priority countries. The tool is not available for viewing at present. But here is a powerpoint describing its capabilities.
Both land and water resources are essential to agriculture in the San Joaquin Valley and other Mediterranean climates in California. These resources are under pressure from a variety of factors that have the potential to significantly affect the food production capacity of a region that contributes importantly to the food security of the state, nation and the world. The most significant challenges appear to be climate change, especially its impact on water supplies, environmental factors such as in-stream water needs, soil impairment, and urban development.
American Farmland Trust has partnered with the Conservation Biology Institute to undertake a spatial analysis to identify agricultural areas that are most at risk due to these challenges. Understanding how and where water supply shortages, soil impairment, urban growth or climatic changes may impact agriculture will contribute to the discussion of strategies for agricultural adaptation and conservation in the Valley.
This project will build on the successful effort led by CBI to identify areas where large-scale solar energy projects sited in the Valley would pose the least conflict to agricultural and environmental values (A Path Forward). As with the solar project, spatial analysis will occur at a broad Valley wide level, but with a finer grained analysis of at least two counties. A number of scenarios, representing different assumptions about physical and policy trends, will be done to further enrich our understanding of the future prospects of Valley agriculture. Input from technical experts and regional stakeholders will be sought throughout the process to help determine how to rank resource values and risks, and to help formulate future scenarios. We are now actively recruiting stakeholders to participate in the process.
The ultimate goal of the project is to encourage and inform a purposeful regional conversation about strategies that will be needed to meet the land and water resource management challenges and, thus, assure a productive and prosperous future for San Joaquin Valley agriculture.
Supported by the California Wildlife Conservation Board, CBI will be working closely with the Strategic Growth Council, UC Davis, and other agency staff to conduct a Regional Conservation Assessment (RCA) for two pilot areas in the state – Mojave Desert and Modoc Plateau – and build an easy-to-use, online assessment tool to evaluate potential conservation investments based on a set of standards developed by the Integrated Regional Conservation and Development program (IRCAD). RCAs are designed to provide a standardized and current assessment of the biological values and ecological conditions within each ecoregion in California serving as the important context to carry out more effective and ecologically sensitive development in the state. This project builds upon existing investment through the California Energy Commission’s statewide renewable energy planning efforts.
The Coyote Valley is a last chance landscape. The Valley, located within one of the world’s top 25 most important biodiversity hotspots, occurs on the south side of San Jose, California and is situated between the Santa Cruz Mountains and Diablo Range. The Santa Clara Valley Open Space Authority, in partnership with CBI, assembled a team of local and regional scientists with the goal of integrating existing scientific information and knowledge to develop a vision and practical plan for achieving a fully functional landscape linkage through the Valley to avoid isolating the two mountain ranges while protecting extremely important valley floor species and habitats. The plan includes restoration of important wetland and uplands habitats, support for numerous rare and sensitive species, and protection of important water and agricultural resources.
*Click here for the full report.
A Regional Conservation Investment Strategy (RCIS) is a voluntary, non-regulatory, and non-binding conservation assessment that includes information and analyses relating to the conservation of focal species, their associated habitats, and the conservation status of the RCIS land base. The RCIS program, which is administered by the California Department of Fish and Wildlife, was created by state bill AB 2087. This conservation strategy is intended to guide conservation investments and advance mitigation in RCIS areas. CBI provided scientific and technical support to ICF International, who led the development of a pilot RCIS for the Antelope Valley in LA County. Implementation of this strategy is intended to sustain and enhance focal species and their habitats in the face of climate change and other stressors such as habitat loss and fragmentation.