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Joshua trees and boulders in Joshua tree national park
Projects

Improve Wildfire Recovery in National Parks & Beyond

Pilot testing a tool in Joshua Tree National Park and the Mojave National Reserve that allows land managers to rapidly assess and respond to wildfires

The Problem

Wildfires are some of the greatest threats to species and ecosystems nationwide that depend on millions of acres of lands for critical habitat refuge. These same places also act as vital carbon sinks. Agencies like the National Park Service (NPS) face grave challenges in addressing wildfires from climate change to resource limitations. While fire prevention and preparedness typically receive more attention, fewer efforts are dedicated to recovery: specifically, how to manage landscapes in time-sensitive periods after a fire.

 

The Opportunity

Schmidt DSE is partnering with NPS to develop a first-of-its-kind suite of tools to help land managers make quick and informed decisions that support post-fire recovery in drylands and arid ecosystems. We are using both observed and modeled data in order to help scale recovery efforts in the face of an ever-changing climate and across the immense diversity of US landscapes. As a testament to the value of this collaboration, the NPS has directly invested in Schmidt DSE’s research on this project.

 

Key Highlights

  • Piloting a tool in Joshua Tree National Park and the Mojave National Reserve that allows land managers to rapidly assess and respond to wildfires.
  • The National Park Service is contributing funds to this project in recognition of DSE's impact.
     

Our Impact

Our tool uses satellite imagery to rapidly assess fire boundaries and appropriately tunes the severity assessment for the local desert ecosystem. This allows for land managers to receive real-time information and make quicker management decisions. In the future and with additional development, the tool will include desert-specific data, data from other ecosystems, incorporate observed data collected by NPS and other entities, and communicate wildfire severity in other types of landscapes that are newly fire-prone.

DSE/JOTR vegetation process model
Above: Workflow for a dynamic post-fire recovery model for Joshua Trees (Yucca brevifolia). Model structure and parameterization is based on diverse data sources, including field monitoring data, literature data, and remote sensing. The model is patch-based, i.e., divides the landscape into units to capture spatial heterogeneity. Transition probabilities (arrows) describe the likelihood of each patch to move from one state to another, either without intervention (black) or under specific management strategies (color), and are conditioned by species interactions, present and future climate, and fire characteristics. When fully implemented, the tool will identify priority areas for conservation action and fire management.

 

Future Vision

While our pilot project is focused on Joshua Trees in Joshua Tree National Park, we are designing and engineering flexible modeling tools that can scale across ecosystems. This may include chaparral shrublands, sagebrush habitat, and Whitebark pine forest habitats. Each of these ecosystems face novel management challenges under the effects of climate change. Ultimately, we aim for the tool to cover a large latitudinal gradient of ecosystems that vary in both water limitation and proneness to fire (and are expected to continue changing due to climate instability). We also hope to expand the tool usage for more public agencies and Tribal nations. 

 

This spring we are planning a fire recovery workshop to help showcase the tool to NPS staff and interagency collaborators. 

Partner Feedback

“Historically, fire severity and fire risk tools have not worked well in desert ecosystems because these tools are usually developed for forests, where plant productivity, biomass, and density are much higher. DSE’s work is very helpful to fire and resource managers working in the desert because it’s specifically tailored to those landscapes.” 

- Jay Goodwin, former Vegetation Branch Chief at Joshua Tree National Park

DSE Contributors

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    Maya Weltman-Fahs

    Maya Weltman-Fahs

    Senior Program Manager
    Eric and Wendy Schmidt Center for Data Science & Environment at Berkeley
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    Nick Gondek

    Nick Gondek

    Data Scientist / Research Software Engineer
    Eric and Wendy Schmidt Center for Data Science & Environment at Berkeley
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    Kevin Koy

    Kevin Koy

    Executive Director
    Eric and Wendy Schmidt Center for Data Science and Environment at Berkeley
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    Amy Van Scoyoc

    Amy Van Scoyoc

    Postdoctoral Researcher
    Eric and Wendy Schmidt Center for Data Science and Environment at Berkeley
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    Amanda Anderson-You

    Amanda Anderson-You

    Data Visualization Developer
    Eric and Wendy Schmidt Center for Data Science and Environment at Berkeley
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    Maya Zomer

    Maya Zomer

    Postdoctoral Researcher
    Eric and Wendy Schmidt Center for Data Science and Environment at Berkeley