Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community-猫眼课题宝

DOI：

10.1002/ecs2.3833

发表时间：

2021-12

期刊：

Ecosphere

影响因子：

2.7

通讯作者：

中科院分区：

环境科学与生态学2区

文献类型：

作者：

R. C. Nagy;J. Balch;E. Bissell;M. Cattau;N. Glenn;B. Halpern;N. Ilangakoon;Brian Johnson;Maxwell B. Joseph;S. Marconi;Catherine O’Riordan;J. Sanovia;T. Swetnam;W. Travis;L. wasser;Elizabeth Woolner;P. Zarnetske;M. Abdulrahim;J. Adler;G. Barnes;K. Bartowitz;Rachael E. Blake;Sara P. Bombaci;J. Brun;Jacob D. Buchanan;K. Chadwick;Melissa S. Chapman;Steven S. Chong;Y. A. Chung;Jessica R. Corman;Jannelle Couret;E. Crispo;T. Doak;Alison Donnelly;Katharyn A. Duffy;K. Dunning;S. Durán;J. Edmonds;D. Fairbanks;A. Felton;C. Florian;D. Gann;M. Gebhardt;N. Gill;W. Gram;Jessica S. Guo;Brian J. Harvey;K. Hayes;Matthew R. Helmus;R. Hensley;K. Hondula;T. Huang;Wiley J. Hundertmark;Virginia Iglesias;P. Jacinthe;L. Jansen;Marta A. Jarzyna;T. M. Johnson;Katherine D. Jones;Megan A. Jones;M. G. Just;Y. Kaddoura;Aurora K. Kagawa‐Vivani;A. Kaushik;A. B. Keller;Katelyn B. S. King;J. Kitzes;M. J. Koontz;P. Kouba;Wai-Yin Kwan;J. M. LaMontagne;E. LaRue;Daijiang Li;Bonan Li;Yang Lin;D. Liptzin;William Long;Adam L. Mahood;S. Malloy;S. Malone;J. McGlinchy;C. Meier;B. Melbourne;Nathan P. Mietkiewicz;J. Morisette;Moussa Moustapha;C. Muscarella;J. Musinsky;R. Muthukrishnan;K. Naithani;M. Neely;Kari E. A. Norman;S. Parker;Mariana Perez Rocha;L. Petri;Colette A. Ramey;S. Record;M. Rossi;M. SanClements;Victoria M. Scholl;A. Schweiger;B. Seyednasrollah;D. Sihi;Kathleen R. Smith;Eric R Sokol;S. Spaulding;Anna I. Spiers;Lise A. St. Denis;Anika P. Staccone;Kaitlin Stack Whitney;D. Stanitski;E. Stricker;Thilina D. Surasinghe;Sarah K. Thomsen;P. M. Vasek;Liao Xiaolu;Di Yang;Rong Yu;Kelsey M. Yule;K. Zhu

目前是反思国家生态观测网络（NEON）迄今为止的科学、设想利用NEON（和其他）数据可以进行哪些研究以及需要进行哪些培训以实现多样化用户社区的关键时刻。NEON于2019年5月全面投入运营，并从规划和建设转向运营和维护。在这个概述中，讨论了NEON的历史和基本思想。通过讨论NEON如何作为更大的数据星座的一部分——跨越现有网络和不同的生态测量和传感器套件，描述了开放科学的框架。接下来，在第一届NEON科学峰会（由科罗拉多大学博尔德分校地球实验室于2019年10月主办）上，根据bbbb100现有出版物、资助的提案工作和新兴科学，提供了早期NEON科学的综合。概述了未来10年生态学将利用NEON数据解决的关键问题，从理解跨时空尺度生物多样性的驱动因素到定义人类-环境系统中复杂的反馈机制。最后，强调了参与和支持多元化和包容性NEON用户社区所需的基本要素：公开提供培训资源和工具，为广泛的社区参与计划提供资金，以及分享和宣传这些机会的机制。NEON用户既需要使用NEON数据的技能，也需要生态或环境科学领域的知识来理解和解释它们。本文综合了社区使用NEON数据的早期方向，以及未来10年NEON在新兴科学主题、开放科学最佳实践、教育和培训以及社区建设方面的运营机会。摘要。这是反思国家生态观测网络（NEON）迄今为止的科学以及设想现在可以用NEON（和其他）数据进行哪些研究以及需要进行哪些培训以实现多样化用户社区的关键时刻。NEON于2019年5月全面投入运营，并从规划和建设转向运营和维护。在这个概述中，讨论了NEON的历史和基本思想。通过讨论NEON如何作为更大的数据星座的一部分——跨越现有网络和不同的生态测量和传感器套件，描述了开放科学的框架。接下来，在第一届NEON科学峰会（由科罗拉多大学博尔德分校地球实验室于2019年10月主办）上，根据bb100现有出版物，资助的提案工作和新兴科学，提供了早期NEON科学的综合。概述了未来10年生态学将利用NEON数据解决的关键问题，从理解生物多样性在时空尺度上的驱动因素到定义人类-环境系统中复杂的反馈机制。最后，强调了参与和支持多元化和包容性NEON用户社区所需的基本要素：公开提供培训资源和工具，为广泛的社区参与计划提供资金，以及分享和宣传这些机会的机制。NEON用户既需要使用NEON数据的技能，也需要生态或环境科学领域的知识来理解和解释它们。本文综合了社区使用NEON数据的早期方向，以及未来10年NEON在新兴科学主题、开放科学最佳实践、教育和培训以及社区建设方面的运营机会。

: 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. Abstract. It is a critical time to re ﬂ ect 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 ﬁ rst 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 de ﬁ ning 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.

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

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