CBI is providing science and technical support to assist the California Energy Commission (CEC) in planning the state’s future energy needs, which includes achieving aggressive renewable energy goals with minimal damage to natural systems. Building off of previous work completed for the Desert Renewable Energy Conservation Plan (DRECP), CBI is working to improve access and transparency of scientific data, maps and analysis. As a subset of the work, CBI is supporting the Renewable Energy Transmission Initiative 2.0 (RETI). RETI, according to the CEC, “is an open, transparent, and science-based process that will explore the abundant renewable generation resources in California and throughout the West, consider critical land use and environmental constraints, and identify potential transmission opportunities that could access and integrate renewable energy with the most environmental, economic, and community benefits.”
CBI is developing additional data, models, tools, and technical assistance that align with statewide energy and climate change adaptation planning. This work extends the information and tools previously built for the DRECP planning region to other areas of the state particularly in areas with high renewable energy potential.
Climate change and related impacts such as drought and wildfire are growing concerns throughout the state. In response, CBI is developing additional datasets and visualization applications to put this information into statewide context. CBI will deliver this data and information to the CEC and other California State agencies.
The Santa Barbara County Conservation Blueprint provides a common language and platform for publicly available data to support in depth conversations and informed decisions about the Santa Barbara County landscape. This collaborative project aims to describe the current landscape, natural resources, and community values about land in Santa Barbara County.
CBI is supporting this process for the Santa Barbara County region. The process is led by the Land Trust for Santa Barbara County, Cachuma Resource Conservation District, and the Santa Barbara Foundation’s LEAF Initiative to develop a Conservation Gateway for Santa Barbara County. This process is also guided by a 12-member Steering Committee representing agriculture, conservation, resource management, and the natural sciences.
This data gathering and community engagement process led to a Conservation “Blueprint” (including a Data Basin Gateway) that is providing a science based decision-making platform for future conservation in the county, including acquisition, restoration and guidance for other potential land management opportunities. In the long-term, this process is expected to include collective visioning, tool- sharing and collaborative strategies. The effort will strengthen the region’s integrity by building community, sharing information, and facilitating stewardship.
Visit www.sbcblueprint.net to learn more about the Blueprint project and explore the online Atlas.
The Crestridge Ecological Reserve (CER) is owned by the California Department of Fish and Wildlife and managed by the Endangered Habitats Conservancy (EHC), while the South Crest Preserve Complex which is owned and managed by EHC. Together these properties comprise approximately 4,000 acres of conserved land in San Diego County, CA. They high value species and habitats, and function as a critical linkage between conserved lands in the San Diego National Wildlife Refuge to the south and the Cleveland National Forest to the north and east.
CBI has provided science support for these lands since 2000, including baseline surveys, vegetation mapping, rare plant monitoring, invasive species mapping and management, habitat restoration, and experimental programs to develop or refine Best Management Practices (BMPs) for adaptive management onsite and in the region. In addition, CBI prepared the Habitat Management and Monitoring Plan for Crestridge and is currently preparing the Resource Management Plan for the South Crest Preserve Complex. These activities are documented in reports. Please refer to Data Basin for spatial data:
https://databasin.org/groups/92c7bce8d88d43b3a800dd686195007e/content#expand=22873
https://databasin.org/groups/92c7bce8d88d43b3a800dd686195007e/content#expand=22873%2C22874
https://databasin.org/groups/92c7bce8d88d43b3a800dd686195007e/content#expand=22873%2C28744
https://databasin.org/groups/92c7bce8d88d43b3a800dd686195007e/content#expand=22873%2C28744%2C82726
The availability and accessibility of accurate information increases the likelihood of efficient allocation of conservation resources to those areas that can maximize protection of biodiversity. This is especially true as conservationists respond to the complex and uncertain ecological changes triggered by climate change. To date, systematic conservation plans have been based on current patterns of biodiversity. However, climate-driven shifts in biomes, species, and ecosystem functions have the potential to make plans based on current patterns of biodiversity less effective. Conservation strategies that lack access to information on the location of areas that maximize resiliency, the methods for climate adaptation conservation planning as well as the pros and cons of the available approaches may misallocate resources by allowing key areas to remain unprotected.
CBI has built AdaptWest – Climate Adaptation Conservation Planning Database for Western North America powered by Data Basin in partnership with project Scientists Carlos Carroll, Josh Lawler and Scott Nielsen. AdaptWest will build on previous work such as the Yale Framework and Reed Noss’s three track approach to conservation planning (Noss and Cooperrider 1994) to provide a coherent planning framework for climate adaptation conservation. AdaptWest will include a comprehensive comparison and synthesis of the many planning approaches that have previously been developed, along with detailed explanation of the application of those methods to the majority of western North America. It will describe whether those conservation efforts are complementary or duplicative, develop a spatial database from the results of these analyses and provide users with integrative analyses and tools that can inform climate adaptation conservation planning and prioritization across much of western North America.
This project differs from previous studies in that it seeks to 1) compare a full spectrum of alternative methods over many contrasting regions, and 2) refine understanding of the conceptual relationship between the various methods and their practical relationship in the planning process. The results of this project, including physical habitat data, climate data, and species model based metrics and prioritizations as well as integrated priority mapping, will be available on Data Basin.
CBI is providing scientific and technical support to Greenpeace Canada and AV Terrace Bay as they work together to maintain the ecological integrity of the Kenogami-Ogoki Forests in Ontario, Canada while providing a sustainable wood supply to the AV Terrace Bay mill and protecting cultural values of First Nations peoples.
There are two major, interrelated components of the project. First, CBI is examining a series of important aspects of woodland caribou conservation in the region, which has been a major focus throughout boreal Canada for a number of years as ongoing development is continually eroding woodland caribou habitat resulting in serious declines in some populations. Using data provided by the Ontario government, CBI is attempting to identify key caribou activity areas, regional movement patterns, and crucial habitat.
CBI is also creating a series of risk-based protected areas scenarios by defining areas of high landscape value and high biological value. High biological value is determined by considering representation of native ecosystems, overall forest values, concentrations of rare species, wetlands, and vital woodland caribou habitat.
Upon development of the scenarios, CBI will facilitate a discussion to review the trade-offs of the different scenarios between AV Terrace Bay and Greenpeace Canada, using Data Basin to support the discussion given the spatially explicit nature of the effort. In the end, the hope is to forge a land management agreement between the two parties that will allow for sustained economic development of the forest resources while protecting the ecological integrity of the region (including woodland caribou viability) and cultural values of the local First Nations peoples.
CBI is working with Utah’s Division of Wildlife Resources (DWR) and The Bureau of Land Management to develop decision support models to inform current conservation initiatives in Utah and throughout the Colorado Plateau ecoregion. Based on previous REA (Rapid Ecoregional Assessment) work, CBI is updating the existing terrestrial landscape and aquatic intactness models for the Colorado Plateau ecoregion as well as updating habitat profiles for a number of identified conservation elements of interest (largely native species and communities). CBI is extending the models to cover the entire state of Utah as well as fine-tuning the models to be more effective at answering different management questions over smaller geographic areas.
CBI is also updating a previously created climate stress logic model with the most recent climate data from the 5th Intergovernmental Panel on Climate Change (IPCC) report as well as carryout some new analyses. For example, mapping potential climate refugia – areas where plants and animals may find shelter from changes in climatic conditions. CBI is also examining past and future climate variability to model climate velocity, which is the speed along the Earth’s surface needed to maintain constant climate conditions with the rationale being that species survival may depend as much on keeping pace with moving climate as the climate’s ultimate persistence. Results of the climate modeling will illustrate at the landscape level the degree to which locations in the landscape will be impacted by climate stress over the next century and help estimate the likelihood that certain species will survive shifting suitable habitat conditions.
Click here to see the console.
The Conservation Biology Institute, in collaboration with Ted Weller (USFS – Pacific Southwest Research Station) is expanding the functionality of Data Basin to create a clearinghouse for migratory bat detection data. This new functionality will allow users to: (1) import location-aware spreadsheet data into Data Basin; (2) dynamically visualize these locations and their attributes (such as number of bats of a particular species) within the interactive map; and, (3) explore charts of time series records across one or more locations. Additional tools under development will allow aggregation into a single master dataset, support form-based imports to more easily capture site and detector information from researchers during upload, and support export of records into spatial and non-spatial outputs.
More information about the exciting implications of this project can be found within an article on The Wildlife Society website.
Working as a subcontractor to Dynamac Corporation, the Conservation Biology Institute provided the scientific leadership and technical support for two BLM Rapid Ecoregional Assessment (REAs). The Sonoran Desert ecoregion was completed in the spring of 2012. A series of conservation elements were chosen for the eocregion and over 40 management questions addressed. Most questions pertained to a listed set of change agents, including urban and agriculture development, energy (including renewables), fire, invasive species, recreation, and climate change. For each conservation element, conceptual models were created and, for each specific management question, an accompanying GIS-based process model was created that outlined the data and steps necessary to generate an answer to the question. Part of the project required an exhaustive acquisition and review of available spatial data – hundreds the ecoregion. Extensive and sophisticated modeling had to be applied to multiple topics including target species habitat, natural ecological systems, climate change, invasive species, wildfire, and landscape integrity. Also, some custom analytical software had to be generated throughout the course of the project.
Project review was conducted using Data Basin and final results reside in a private group space on this web-based data management and mapping system. To inquire about access to the data and map-based results, please contact Karen Prentice at BLM Headquarters (kprentice@blm.gov).
To download the report and find out more information, Click Here.
Working as a subcontractor to Dynamac Corporation, the Conservation Biology Institute provided the scientific leadership and technical support for two BLM Rapid Ecoregional Assessment (REAs). The Colorado Plateau ecoregion was completed in the spring of 2012. A series of conservation elements were chosen for the eocregion and over 40 management questions addressed. Most questions pertained to a listed set of change agents, including urban and agriculture development, energy (including renewables), fire, invasive species, recreation, and climate change. For each conservation element, conceptual models were created and, for each specific management question, an accompanying GIS-based process model was created that outlined the data and steps necessary to generate an answer to the question. Part of the project required an exhaustive acquisition and review of available spatial data – hundreds the ecoregion. Extensive and sophisticated modeling had to be applied to multiple topics including target species habitat, natural ecological systems, climate change, invasive species, wildfire, and landscape integrity. Also, some custom analytical software had to be generated throughout the course of the project.
Project review was conducted using Data Basin and final results reside in a private group space on this web-based data management and mapping system. To inquire about access to the data and map-based results, please contact Karen Prentice at BLM Headquarters (kprentice@blm.gov).
To download the full report and find our more information on the Colorado Plateau REA, click here.