Browsing by Author "Blake, Rachael E."

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    Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community
    (Wiley, 2021-12) Nagy, R. Chelsea; Balch, Jennifer K.; Bissell, Erin K.; Cattau, Megan E.; Glenn, Nancy F.; Halpern, Benjamin S.; Ilangakoon, Nayani; Johnson, Brian; Joseph, Maxwell B.; Marconi, Sergio; O’Riordan, Catherine; Sanovia, James; Swetnam, Tyson L.; Travis, William R.; Wasser, Leah A.; Woolner, Elizabeth; Zarnetske, Phoebe; Abdulrahim, Mujahid; Adler, John; Barnes, Grenville; Bartowitz, Kristina J.; Blake, Rachael E.; Bombaci, Sara P.; Brun, Julien; Buchanan, Jacob D.; Chadwick, K. Dana; Chapman, Melissa S.; Chong, Steven S.; Chung, Y. Anny; Corman, Jessica R.; Couret, Jannelle; Crispo, Erika; Doak, Thomas G.; Donnelly, Alison; Duffy, Katharyn A.; Dunning, Kelly H.; Duran, Sandra M.; Edmonds, Jennifer W.; Fairbanks, Dawson E.; Felton, Andrew J.; Florian, Christopher R.; Gann, Daniel; Gebhardt, Martha; Gill, Nathan S.; Gram, Wendy K.; Guo, Jessica S.; Harvey, Brian J.; Hayes, Katherine R.; Helmus, Matthew R.; Hensley, Robert T.; Hondula, Kelly L.; Huang, Tao; Hundertmark, Wiley J.; Iglesias, Virginia; Jacinthe, Pierre‐Andre; Jansen, Lara S.; Jarzyna, Marta A.; Johnson, Tiona M.; Jones, Katherine D.; Jones, Megan A.; Just, Michael G.; Kaddoura, Youssef O.; Kagawa‐Vivani, Aurora K.; Kaushik, Aleya; Keller, Adrienne B.; King, Katelyn B. S.; Kitzes, Justin; Koontz, Michael J.; Kouba, Paige V.; Kwan, Wai‐Yin; LaMontagne, Jalene M.; LaRue, Elizabeth A.; Li, Daijiang; Li, Bonan; Lin, Yang; Liptzin, Daniel; Long, William Alex; Mahood, Adam L.; Malloy, Samuel S.; Malone, Sparkle L.; McGlinchy, Joseph M.; Meier, Courtney L.; Melbourne, Brett A.; Mietkiewicz, Nathan; Morisette, Jeffery T.; Moustapha, Moussa; Muscarella, Chance; Musinsky, John; Muthukrishnan, Ranjan; Naithani, Kusum; Neely, Merrie; Norman, Kari; Parker, Stephanie M.; Perez Rocha, Mariana; Petri, Laís; Ramey, Colette A.; Record, Sydne; Rossi, Matthew W.; SanClements, Michael; Scholl, Victoria M.; Schweiger, Anna K.; Seyednasrollah, Bijan; Sihi, Debjani; Smith, Kathleen R.; Sokol, Eric R.; Spaulding, Sarah A.; Spiers, Anna I.; St. Denis, Lise A.; Staccone, Anika P.; Stack Whitney, Kaitlin; Stanitski, Diane M.; Stricker, Eva; Surasinghe, Thilina D.; Thomsen, Sarah K.; Vasek, Patrisse M.; Xiaolu, Li; Yang, Di; Yu, Rong; Yule, Kelsey M.; Zhu, Kai; Earth Sciences, School of Science
    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.
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    Leveraging the NEON Airborne Observation Platform for socio-environmental systems research
    (Wiley, 2021) Ordway, Elsa M.; Elmore, Andrew J.; Kolstoe, Sonja; Quinn, John E.; Swanwick, Rachel; Cattau, Megan; Taillie, Dylan; Guinn, Steven M.; Chadwick, K. Dana; Atkins, Jeff W.; Blake, Rachael E.; Chapman, Melissa; Cobourn, Kelly; Goulden, Tristan; Helmus, Matthew R.; Hondula, Kelly; Hritz, Carrie; Jensen, Jennifer; Julian, Jason P.; Kuwayama, Yusuke; Lulla, Vijay; O’Leary, Donal; Nelson, Donald R.; Ocón, Jonathan P.; Pau, Stephanie; Ponce-Campos, Guillermo E.; Portillo-Quintero, Carlos; Pricope, Narcisa G.; Rivero, Rosanna G.; Schneider, Laura; Steele, Meredith; Tulbure, Mirela G.; Williamson, Matthew A.; Wilson, Cyril; Geography, School of Liberal Arts
    During the 21st century, human–environment interactions will increasingly expose both systems to risks, but also yield opportunities for improvement as we gain insight into these complex, coupled systems. Human–environment interactions operate over multiple spatial and temporal scales, requiring large data volumes of multi-resolution information for analysis. Climate change, land-use change, urbanization, and wildfires, for example, can affect regions differently depending on ecological and socioeconomic structures. The relative scarcity of data on both humans and natural systems at the relevant extent can be prohibitive when pursuing inquiries into these complex relationships. We explore the value of multitemporal, high-density, and high-resolution LiDAR, imaging spectroscopy, and digital camera data from the National Ecological Observatory Network’s Airborne Observation Platform (NEON AOP) for Socio-Environmental Systems (SES) research. In addition to providing an overview of NEON AOP datasets and outlining specific applications for addressing SES questions, we highlight current challenges and provide recommendations for the SES research community to improve and expand its use of this platform for SES research. The coordinated, nationwide AOP remote sensing data, collected annually over the next 30 yr, offer exciting opportunities for cross-site analyses and comparison, upscaling metrics derived from LiDAR and hyperspectral datasets across larger spatial extents, and addressing questions across diverse scales. Integrating AOP data with other SES datasets will allow researchers to investigate complex systems and provide urgently needed policy recommendations for socio-environmental challenges. We urge the SES research community to further explore questions and theories in social and economic disciplines that might leverage NEON AOP data.