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Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community

  • R. Chelsea Nagy
  • , Jennifer K. Balch
  • , Erin K. Bissell
  • , Megan E. Cattau
  • , Nancy F. Glenn
  • , Benjamin S. Halpern
  • , Nayani Ilangakoon
  • , Brian Johnson
  • , Maxwell B. Joseph
  • , Sergio Marconi
  • , Catherine O’Riordan
  • , James Sanovia
  • , Tyson L. Swetnam
  • , William R. Travis
  • , Leah A. Wasser
  • , Elizabeth Woolner
  • , Phoebe Zarnetske
  • , Mujahid Abdulrahim
  • , John Adler
  • , Grenville Barnes
  • Kristina J. Bartowitz, Rachael E. Blake, Sara P. Bombaci, Julien Brun, Jacob D. Buchanan, K. Dana Chadwick, Melissa S. Chapman, Steven S. Chong, Y. Anny Chung, Jessica R. Corman, Jannelle Couret, Erika Crispo, Thomas G. Doak, Alison Donnelly, Katharyn A. Duffy, Kelly H. Dunning, Sandra M. Duran, Jennifer W. Edmonds, Dawson E. Fairbanks, Andrew J. Felton, Christopher R. Florian, Daniel Gann, Martha Gebhardt, Nathan S. Gill, Wendy K. Gram, Jessica S. Guo, Brian J. Harvey, Katherine R. Hayes, Matthew R. Helmus, Robert T. Hensley, Kelly L. Hondula, Tao Huang, Wiley J. Hundertmark, Virginia Iglesias, Pierre Andre Jacinthe, Lara S. Jansen, Marta A. Jarzyna, Tiona M. Johnson, Katherine D. Jones, Megan A. Jones, Michael G. Just, Youssef O. Kaddoura, Aurora K. Kagawa-Vivani, Aleya Kaushik, Adrienne B. Keller, Katelyn B.S. King, Justin Kitzes, Michael J. Koontz, Paige V. Kouba, Wai Yin Kwan, Jalene M. LaMontagne, Elizabeth A. LaRue, Daijiang Li, Bonan Li, Yang Lin, Daniel Liptzin, William Alex Long, Adam L. Mahood, Samuel S. Malloy, Sparkle L. Malone, Joseph M. McGlinchy, Courtney L. Meier, Brett A. Melbourne, Nathan Mietkiewicz, Jeffery T. Morisette, Moussa Moustapha, Chance Muscarella, John Musinsky, Ranjan Muthukrishnan, Kusum Naithani, Merrie Neely, Kari Norman, Stephanie M. Parker, Mariana Perez Rocha, Laís Petri, Colette A. Ramey, Sydne Record, Matthew W. Rossi, Michael SanClements, Victoria M. Scholl, Anna K. Schweiger, Bijan Seyednasrollah, Debjani Sihi, Kathleen R. Smith, Eric R. Sokol, Sarah A. Spaulding, Anna I. Spiers, Lise A. St. Denis, Anika P. Staccone, Kaitlin Stack Whitney, Diane M. Stanitski, Eva Stricker, Thilina D. Surasinghe, Sarah K. Thomsen, Patrisse M. Vasek, Li Xiaolu, Di Yang, Rong Yu, Kelsey M. Yule, Kai Zhu
  • University of Colorado Boulder
  • Metropolitan State University of Denver
  • Boise State University
  • University of New South Wales
  • University of California at Santa Barbara
  • University of Florida
  • Ecological Society of America
  • Oglala Lakota College
  • University of Arizona
  • Michigan State University
  • University of Missouri at Kansas City
  • University of Idaho
  • National Socio-Environmental Synthesis Center (SESYNC)
  • Colorado State University
  • Bowling Green State University
  • University of Texas at Austin
  • University of California at Berkeley
  • University of Georgia
  • University of Nebraska-Lincoln
  • University of Rhode Island
  • Pace University
  • Indiana University Bloomington
  • University of Wisconsin-Milwaukee
  • Northern Arizona University
  • Auburn University
  • Nevada State College
  • Utah State University
  • National Ecological Observatory Network
  • Florida International University
  • Texas Tech University
  • University Corporation for Atmospheric Research
  • University of Washington
  • University of Colorado Denver
  • Temple University
  • Cary Institute of Ecosystem Services
  • Boston University
  • Indiana University-Purdue University Indianapolis
  • Portland State University
  • Ohio State University
  • ERDC CERL
  • University of Hawai'i at Mānoa
  • National Oceanic and Atmospheric Administration
  • University of Minnesota Twin Cities
  • University of Pittsburgh
  • University of California at Davis
  • University of California at Los Angeles
  • DePaul University
  • Purdue University
  • Louisiana State University
  • Oregon State University
  • Soil Health Institute
  • Woodrow Wilson International Center for Scholars
  • CoreLogic
  • United States Department of Agriculture
  • Université de Ngaoundéré
  • University of Arkansas, Fayetteville
  • GEO AquaWatch
  • Global Science and Technology, Inc.
  • University of Oklahoma
  • University of Michigan, Ann Arbor
  • Bryn Mawr College
  • University of Zurich
  • Emory University
  • Columbia University
  • Rochester Institute of Technology
  • University of New Mexico
  • Bridgewater State University
  • Cornell University
  • University of Wyoming
  • Arizona State University
  • University of California at Santa Cruz

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation—across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on >100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 yr are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human–environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community’s use of NEON data, and opportunities for the next 10 yr of NEON operations in emergent science themes, open science best practices, education and training, and community building.

Original languageEnglish
Article numbere03833
JournalEcosphere
Volume12
Issue number12
DOIs
StatePublished - Dec 2021

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