AG真人百家乐官方网站

Skip to main content
NSF NEON, Operated by Battelle

Main navigation

  • AG真人百家乐官方网站 Us
    • Overview
      • Spatial and Temporal Design
      • History
    • Vision and Management
    • Advisory Groups
      • Science, Technology & Education Advisory Committee
      • Technical Working Groups (TWGs)
    • FAQ
    • Contact Us
      • Contact NEON Biorepository
      • Field Offices
    • User Accounts
    • Staff
    • Code of Conduct

    AG真人百家乐官方网站 Us

  • Data & Samples
    • Data Portal
      • Spatial Data & Maps
    • Data Themes
      • Biogeochemistry
      • Ecohydrology
      • Land Cover and Processes
      • Organisms, Populations, and Communities
    • Samples & Specimens
      • Discover and Use NEON Samples
        • Sample Types
        • Sample Repositories
        • Megapit and Distributed Initial Characterization Soil Archives
      • Sample Processing
      • Sample Quality
    • Collection Methods
      • Protocols & Standardized Methods
      • Airborne Remote Sensing
        • Flight Box Design
        • Flight Schedules and Coverage
        • Daily Flight Reports
          • AOP Flight Report Sign Up
        • Camera
        • Imaging Spectrometer
        • Lidar
      • Automated Instruments
        • Site Level Sampling Design
        • Sensor Collection Frequency
        • Instrumented Collection Types
          • Meteorology
          • Phenocams
          • Soil Sensors
          • Ground Water
          • Surface Water
      • Observational Sampling
        • Site Level Sampling Design
        • Sampling Schedules
        • Observation Types
          • Aquatic Organisms
            • Aquatic Microbes
            • Fish
            • Macroinvertebrates & Zooplankton
            • Periphyton, Phytoplankton, and Aquatic Plants
          • Terrestrial Organisms
            • Birds
            • Ground Beetles
            • Mosquitoes
            • Small Mammals
            • Soil Microbes
            • Terrestrial Plants
            • Ticks
          • Hydrology & Geomorphology
            • Discharge
            • Geomorphology
          • Biogeochemistry
          • DNA Sequences
          • Pathogens
          • Sediments
          • Soils
            • Soil Descriptions
        • Optimizing the Observational Sampling Designs
    • Data Notifications
    • Data Guidelines and Policies
      • Acknowledging and Citing NEON
      • Publishing Research Outputs
      • Usage Policies
    • Data Management
      • Data Availability
      • Data Formats and Conventions
      • Data Processing
      • Data Quality
      • Data Product Bundles
      • Data Product Revisions and Releases
        • Release 2021
        • Release 2022
        • Release 2023
        • Release 2024
        • Release-2025
      • NEON and Google
      • Externally Hosted Data

    Data & Samples

  • Field Sites
    • AG真人百家乐官方网站 Field Sites and Domains
    • Explore Field Sites

    Field Sites

  • Impact
    • Observatory Blog
    • Case Studies
    • Papers & Publications
    • Newsroom
      • NEON in the News
      • Newsletter Archive
      • Newsletter Sign Up

    Impact

  • Resources
    • Getting Started with NEON Data & Resources
    • Documents and Communication Resources
      • Papers & Publications
      • Outreach Materials
    • Code Hub
      • Code Resources Guidelines
      • Code Resources Submission
    • Learning Hub
      • Science Videos
      • Tutorials
      • Workshops & Courses
      • Teaching Modules
    • Research Support Services
      • Field Site Coordination
      • Letters of Support
      • Mobile Deployment Platforms
      • Permits and Permissions
      • AOP Flight Campaigns
      • Research Support FAQs
      • Research Support Projects
    • Funding Opportunities

    Resources

  • Get Involved
    • Advisory Groups
      • Science, Technology & Education Advisory Committee
      • Technical Working Groups
    • Upcoming Events
    • NEON Ambassador Program
      • Exploring NEON-Derived Data Products Workshop Series
    • Research and Collaborations
      • Environmental Data Science Innovation and Inclusion Lab
      • Collaboration with DOE BER User Facilities and Programs
      • EFI-NEON Ecological Forecasting Challenge
      • NEON Great Lakes User Group
      • NEON Science Summit
      • NCAR-NEON-Community Collaborations
        • NCAR-NEON Community Steering Committee
    • Community Engagement
      • How Community Feedback Impacts NEON Operations
    • Science Seminars and Data Skills Webinars
      • Past Years
    • Work Opportunities
      • Careers
      • Seasonal Fieldwork
      • Internships
        • Intern Alumni
    • Partners

    Get Involved

  • My Account
  • Search

Search

Impact

  • Observatory Blog
  • Case Studies
  • Papers & Publications
  • Newsroom

Breadcrumb

  1. Impact
  2. Observatory Blog
  3. Confronting ecological change takes a collaborative leap with the NEON Ecological Forecasting Challenge

Confronting ecological change takes a collaborative leap with the NEON Ecological Forecasting Challenge

December 2, 2020

Wildflowers in a field at the Rocky Mountain National Park site

 

Looking to predict beetle abundance and springtime greenness, among other things, the NEON Ecological Forecasting Challenge is looking to mobilize researchers and forecast answers to a complex set of ecological questions.

The National Ecological Observatory Network, otherwise known as NEON, is a continental-scale network of 81 monitoring sites that collects open access ecological data to better understand how ecosystems across the U.S. are changing over time.

鈥淚t鈥檚 the first of its kind,鈥� said Quinn Thomas, director of the Challenge and associate professor in the  in the  at Virginia Tech. 鈥淩unning models to predict ecological data that has yet to be collected across the U.S. is really novel, and doing it across many different fields of ecology simultaneously has never been done before.鈥�

Designed and hosted by 200 contributors within the National Science Foundation-funded , the trans-institutional Challenge will launch in 2021 and use data from NEON sites. The Challenge will provide resources and a common framework for generating and submitting forecasts of ecological processes.    

鈥淔undamentally, it鈥檚 a means to an end: to advance our capacity to predict the future of nature while generating forecasts that are usable to stakeholders. From a community standpoint, the Challenge is a focal point for sharing knowledge and building a network of scientists and stakeholders engaged in the practice of ecological forecasting,鈥� said Thomas, who is also an affiliated faculty member of the  within the .

The Challenge highlights five different themes: aquatic ecosystems, terrestrial carbon exchange, tick populations, plant phenology, and beetle communities. Each theme involves a different aspect of ecology meant to engage a wide array of researchers.  

Beetle samples

Beetle samples

Since ecological forecasting is a relatively young field, the hope is that the Challenge will build a foundation for ecological forecasting and unravel the uncertainty stakeholders face when managing natural systems.

Institutional stakeholders, such as the National Phenology Network and the National Oceanic and Atmospheric Administration, are partnering with the EFI-RCN to refine forecasts during the challenge and reduce uncertainty.

鈥淭he 鈥榠f you build it, they will come鈥� mentality doesn鈥檛 work for most decision support,鈥� said Michael Dietze, associate professor in the Department of Earth and Environment at Boston University and lead of the affiliated Ecological Forecasting Initiative. 鈥淵ou have to have the decision-makers involved, and you have to really understand what their needs are.鈥�

A major goal of the Challenge is to foster an atmosphere of community. Participants, no matter their forecasting experience, will have the opportunity to collectively share their forecasts, therefore improving future forecasting models.

鈥淥ne of the fundamental goals in EFI is to bring the community together and understand what are the cross-cutting challenges that we face regardless of what particular system we work in,鈥� Dietze said. 鈥淚 think the forecast challenge is a rallying cry for the community to come together behind this effort.鈥�

One of the challenges that the ecological forecasting community faces, Dietze said, is education and training. Thomas, at Virginia Tech, will teach an ecological forecasting course in the spring, as will Dietze at Boston University and Carl Boettiger at UC Berkeley. Undergraduate and graduate students in these courses will be directly participating in the NEON Ecological Forecasting Challenge.

鈥淲e hope that it can pull in a new generation of scientists who think about the aspects of ecological forecasting early in their career training,鈥� Thomas said. 鈥淣ot only does that include producing forecasts, but that鈥檚 learning how to do ecology in the context of computational sciences and reproducibility.鈥�

View from LENO tower

Bird's eye view from the LENO tower.

To galvanize these early-career scientists, graduate and postdoctoral students are also going beyond the classroom and leading Challenge themes.

鈥淭his grassroots effort that the Ecological Forecasting Initiative is bringing on is really awesome, and beyond that, it鈥檚 an honor to be a part of it,鈥� said Anna Spiers, a Ph.D. student at the University of Colorado and team leader for the beetle community theme. 鈥淚鈥檓 really excited to see the range of participants who come to the challenge and the range of models that people create.鈥�

The EFI-RCN encourages students, both undergraduate and graduate, to join the challenge alongside faculty, institutional researchers, and international groups. Participants can submit forecasts as individuals or teams and will be evaluated based on their forecasts鈥� precision and accuracy. Evaluations and data will be available in real-time through an automated cyberinfrastructure.

Being the Challenge鈥檚 inaugural year, Thomas understands this year will look to increase participant numbers and smooth over any wrinkles in anticipation of running the Challenge in future years. Regardless, this year鈥檚 challenge is the first step for the EFI-RCN and the ecological community at large to better predict and understand the vital forces of nature.

To register for the EFI-RCN NEON Ecological Forecasting Challenge, visit the challenge鈥檚 .

- Written by Tyler Harris

Share

Related Posts:

A Chance for Fire Research and Recovery at a NEON Desert Site

January 24, 2025

Burned cactus

G7 Summit: NEON/Battelle Elevate U.S. Ecology and Infrastructure

November 25, 2024

U.S. Attendees to G7 LRI conference

Read the Updated NEON 5-Year Strategic Plan

February 12, 2025

Wind River Tower in D16
NSF NEON, Operated by Battelle

Follow Us:

Join Our Newsletter

Get updates on events, opportunities, and how NEON is being used today.

Subscribe Now

Footer

  • AG真人百家乐官方网站 Us
  • Newsroom
  • Contact Us
  • Terms & Conditions
  • Careers
  • Code of Conduct

Copyright © Battelle, 2025

The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.