The Florida Conservation Actions Tracker is designed to facilitate sharing information about conservation actions on the landscape: completed, planned, or in progress. In particular, a major goal is to help identify shared priorities across organizations and result in better coordination among organizations responsible for conservation efforts across the landscape. Target projects range from restoration to land acquisition to other land management activities.
Efforts are underway in Sonoma County to provide critical information to facilitate strategic, ecologically-sensitive fuel management across the region for the long-term resilience of its communities and watersheds. The Sonoma County Wildfire Resilience Decision Support Framework is part of a county-wide coordinated initiative to prioritize actions and investments by local agencies implementing the Sonoma County Community Wildfire Protection Plan.
Two online decision-support tools make up the Decision Support Framework:
The Wildfire Resilience Planner: Strategic Planning at the Landscape Scale
Sonoma Water, Conservation Biology Institute (CBI), Ag Innovations, Pepperwood Preserve, Tukman Geospatial, Digital Mapping Solutions have created the Sonoma County Wildfire Resilience Planner, an online decision support tool for prioritizing locations to reduce wildfire fuels to protect lives and property, community infrastructure, ecosystem services, and biodiversity. The tool encourages collaborative planning of projects on public and private land, helping to leverage individual efforts for a unified and strategic approach to fuels management. The Wildfire Resilience Planner is available for use at https://sonoma.resilienceplanner.org/. For more information or to provide feedback, please contact Molly Oshun, Molly.Oshun@scwa.ca.gov or Deanne DiPietro, deanne.dipietro@consbio.org.
The Wildfire Fuel Mapper: Property-Specific Information for Fuels Management
The University of California Cooperative Extension, Pepperwood Preserve, and Tukman Geospatial have developed the Wildfire Fuel Mapper, on online tool that provides landowners and managers with maps and information for designing and implementing projects to reduce wildland fuels. For more information contact Stephanie Larson slarson@ucanr.edu or Kai Foster kfoster@pepperwoodpreserve.org.
The Forest Treatment Planner was developed to provide forest managers a platform for exploring the potential consequences of different forest management alternatives in both the short and long-term, examine the resource-based trade-offs inherent in any proposed vegetation management action, and clearly substantiate the rationale behind management planning. Originally envisioned as a means to help balance fisher habitat conservation with fuel reduction efforts, the Treatment Planner provides a dynamic link between GIS, the Forest Vegetation Simulator (FVS) modeling software, and any resource model (e.g. habitat, hydrology, fuel, economic) that uses the EEMS (Environmental Evaluation Modeling System) modeling environment. As such, the Treatment Planner is not a model per-se, but a system of communication between existing software that, when used together, can facilitate spatially-explicit comparisons and project refinement. By exporting an FVS output directly into the EEMS modeling environment, this framework allows for a transparent evaluation of the impacts to multiple resource values and a straightforward process for communicating these impacts to stakeholders.
The Treatment Planner supports an iterative process of treatment project simulation, adaptive management, and outcomes analysis, the steps in what we refer to as the “4-Box” decision making framework. The 4-Box model is a conceptual representation of a process designed to help predict future landscape conditions based on simulated management actions and change over time (see Figure). In this process, the forest manager first examines the current conditions of the landscape through the lens of a particular question or management objective (e.g., where is there a need for protection or restoration?). They can then explore the predicted effects of various simulated management alternatives (e.g., thin from above, or thin from below), to see how they would affect the stand structure (e.g., stand density, basal area, and average DBH) over time, both immediately and into the future. Finally, the manager can examine how those new conditions would then affect a particular phenomenon of interest such as, severe fire risk, or wildlife habitat suitability. This process is then repeated under a different set of treatment options (scenarios) to inform the development of an effective management strategy.
Figure 1. The 4-Box model represents a process for evaluating future conditions based on simulated treatments and change over time.
You can check out the detailed steps to use the treatment planner using the document on the file tab. The relevant code for the treatment planner is available at github, click here to download.
CBI has designed and launched a new Data Basin Gateway (Atlas) for the Wildlife Conservation Society Canada focusing on the Yukon Territory to assist WCS Canada researchers and their conservation partners in the region to develop effective protection of wildlife and plants being impacted by a host of environmental stressors, with special emphasis on climate change. In addition to the branded and curated gateway with relevant datasets, we have co-produced a customized application for stakeholders to view and download species distribution models (SDM) for 66 endemic plants designed to predict future changes in their distribution due to climate change. The Atlas houses relevant datasets for conservation planning in the climate-sensitive Yukon region and the tool houses the SDMs, which in combination provide powerful resources for WCS Canada and its partners to effectively plan for resilience.
An example of a map created in the WCS Yukon Data Basin Atlas showing First Nation Territories overlaid on Ross river breeding bird habitat suitability layer
The Yukon Spatial data tool showing projected climate refugia for a Inuvialuit Planning region in the Yukon
The Conservation Biology Institute’s recent work with the Deschutes Trails Coalition (DTC) and the Deschutes National Forest focuses on designing a Trails Assessment and Planning Tool for Deschutes County. We have developed a blueprint for the design, in collaboration with the U.S. Forest Service and the DTC. In this new phase of the project, funded by the U.S. Forest Service, CBI will partner with the DTC to build a prototype of the trails decision-support tool and sustainability model for Deschutes County. Then we will scale up and customize this prototype to meet the requirements of the U.S. Forest Service and its partners in the states of Oregon and Washington. The Trail Assessment and Planning Tool design includes creating a preliminary version of a sustainability framework that incorporates an interactive spatially-explicit model, addressing the physical, environmental, social, and economic aspects of sustainability. The model is powered by CBI’s Environmental Evaluation Modelling System (EEMS), allowing for its collaborative development with a diverse group of stakeholders, to create a transparent framework for local, regional, and national organizations to answer important questions relevant to trails planning and management.
Proxy Falls, Oregon
Michael Riffle / Flickr
CBI is working in collaboration with Oregon State University, the University of Minnesota, and the University of Colorado Boulder on a project designed to help improve our understanding of post-fire community resilience. Central to the project will be the development of an RFID sensor network which will help support post-fire assessments of water infrastructure damage. These sensors will be deployed across a community’s freshwater pipeline network and will transmit data (e.g., temperature reached, pipeline material, exposure duration) that will help determine whether or not toxins have started leaching from the pipes into the freshwater supply. The current phase of the project focuses on Santa Rosa and Paradise in California where the 2017 Tubbs Fire and the 2018 Camp Fire caused damage to the water distribution systems, resulting in contaminated water within the system.
To help support this effort, CBI has developed a web application called the Wildfire Vulnerability Explorer, which can be accessed at https://wildfirevulnerability.eemsonline.org. This application allows users to explore a set of spatially explicit models developed for Santa Rosa and Paradise that identify areas likely to be vulnerable to water contamination exposure following a large-scale fire event. Estimates of vulnerability are based on three primary factors: the probability of water contamination, socioeconomic sensitivity, and adaptive capacity. The Wildfire Vulnerability Explorer brings this information together in an interactive map in order to help officials with both pre-fire planning and post-fire prioritization of recovery efforts – by identifying communities that are the most vulnerable to water contamination exposure, efforts can be taken to better plan for and direct resources to those areas.
Additional information about the project is available on the OSU project page at the link below:
Sensor Technology for Improved Wildland Urban Interface (WUI) Fire Resilience
Funding for the project was provided by the Alfred P. Sloan Foundation.
Photo courtesy of NASA (https://earthobservatory.nasa.gov/images/144225/camp-fire-rages-in-california): Camp Fire in Paradise, California, which is one of the project study areas.
In 2006, the Micronesia Challenge began as 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 crucial to the survival of the Pacific traditions, cultures, and livelihoods. The overall goal of the initial Micronesia Challenge was to effectively conserve at least 30% of the near-shore marine resources and 20% of the terrestrial resources across Micronesia by 2020.
During the 24th Micronesia Island Forum in 2019, the regional leadership recognized the success of the first 15 years of the Micronesia Challenge and endorsed the new Micronesia Challenge 2030 goals to effectively manage 50% of the marine resources and 30% of terrestrial resources by 2030.
In 2016, 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. The first version of the tool included forest data collected between 2003 and 2018 and determined the status and trends in forest area, forest health, understory vegetation, biomass, and carbon storage.
In this new phase of work, the Terrestrial Measure Initiative tool will be updated with the most recent data and information. The team also plans to develop a webinar presentation to communicate with local stakeholders and others about the tool and the ongoing success of the Micronesia Challenge.
CBI recently worked with the Pacific Marine & Estuarine Fish Habitat Partnership (PMEP) to update the West Coast Estuaries Explorer, a tool designed to engage a broad range of users with detailed information about estuaries along the U.S. West Coast. The first version of this tool was developed in partnership with PMEP and the North Pacific Landscape Conservation Cooperative. The partnership between CBI and PMEP continues with support from NOAA and the Pacific States Marine Fisheries Commission (PSMFC). The Estuaries Explorer got several performance and design updates to make it easier to use and more visually engaging. In addition to the latest available information for estuary boundaries and biological habitats, the Explorer now includes aerial images for each of the estuaries in Washington, Oregon, and California. Later this year, CBI and PMEP will incorporate additional information on the location of eelgrass habitat and areas of tidal wetland loss. PSMFC has taken over long-term hosting of this exciting tool.
Conservation Biology Institute is a partner in a new $1 million grant from a new interdisciplinary NSF program to foster building an “open knowledge network.” The inspiration for this type of network comes from Tim Berners-Lee’s (best known founder of the World-wide Web) vision for the “semantic web,” which applies tags with relationships to information on the Internet, allowing computers to do basic reasoning for improving search results and answering questions. Apple’s Siri, Amazon’s Alexa, and Google’s Assistant all use these technologies.
Dr. John Gallo co-wrote the proposal and leads CBI’s participation in the team of 13 researchers and practitioners from 10 other institutions. The team is focused on improving access and contributions to tools for analyzing geographic data called spatial decision support systems. “The proliferation of online mapping technologies has greatly increased access to and utility of these kinds of tools, and a logical next step is increasing our ability to find the appropriate data and tools for your problem and link these together for more complex analyses,” says Principal Investigator Sean Gordon of Portland State University. Through engaging stakeholders in three applied case studies (the management of wildland fire, water quality, and biodiversity conservation), the interdisciplinary project team will develop and test participatory and automated methods for finding and sharing decision-relevant information using semantic web technologies.
The new NSF Convergence Accelerator program is named for its focus on bringing together interdisciplinary teams to address one of NSF’s 10 big ideas, specifically “Harnessing the Data Revolution“, also known as building an Open Knowledge Network. Eighteen other of these phase 1 grants were made, covering areas from molecular manufacturing to tracking potentially disruptive solar phenomena. The “accelerator” part comes from the short time frame. “The application required a 3-week turn around, which is very quick for a NSF grant,” Gordon said. “Our success was largely due to having formed the Spatial Decision Support Consortium, a professional networking group four years ago, so we had ideas and people ready to go.” Each phase 1 project is eligible to submit a phase 2 proposal for up to $5 million by next March, and the process will include giving a short “pitch” talk to a panel of experts and potential funders, much like a venture capital approach.
*Learn more about this ongoing project here.
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)
