A New Engagement Model to Complete and Operate the National Ecological Observatory Network
A New Engagement Model to Complete and Operate the National Ecological Observatory Network
复制标题
国家生态观测站网络建设和运营的新参与模式
DOI：
10.1002/bes2.1248
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Kelly, Eugene F.
中科院分区：
文献类型：
--
作者：
Kuhlman, Michael R.;Loescher, Henry W.;Leonard, Richard;Farnsworth, Richard;Dawson, Todd E.;Kelly, Eugene F.
As the impacts of environmental change grow, there is a more urgent imperative to provide consistent, long-term ecological data for research and education for the societal benefit of the United States—that is, North America and elsewhere (Holdren et al. 2014, Peters et al. 2008, 2014, President’s Council of Advisors on Science and Technology (PCAST) 2011; Collins et al. 2010). To meet these needs, the National Ecological Observatory Network (NEON) was conceived after more than a decade of planning and engagement with the ecological communities. NEON is novel by (1) adopting the cause-and-effect paradigm and (2) providing a robust scaling strategy to collect local, site-based information and scale this information to the region and continent, and from instantaneous-to-decadal temporal scales (Schimel et al. 2011, www. neonscience. org). NEON is designed to act as a single, coordinated continental-scale instrument to assess the ecological trends and environmental pulse of the nation. NEON’s data products are intended to address the grand challenges for environmental science that the National Academy of Science has advocated—biodiversity, biogeochemistry, climate change, ecohydrology, invasive species, infectious disease, and land-use change (National Research Council (NRC) 2001).Building a large-scale, distributed research infrastructure for the environmental science community such as NEON has never been attempted before, and its full potential has yet to be realized by the ecological community (Loescher et al. 2016). NEON has been under an extended period of public scrutiny of late (Office of Inspector General (OIG) 2014; Mervis 2015a, b, c). Engineers and scientists actually involved in the design and construction of a large-scale research infrastructure understand that it is a complex problem influenced by multiple opinions as to what it should be and why it should be built (Schimel and Keller 2015).
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总统科学技术顾问委员会 (PCAST)
DOI：
--
发表时间：
2015
期刊：
--
影响因子：
--
作者：
M. Zuber;M. Adams;D. Arvizu;J. Banovetz;Ash Carter;F. Colón;L. Cooper;W. Dally;Sue Desmond;Inez Fung;Andrea Goldsmith;Laura H. Greene;P. Hammond;J. Kiani;J. Levin;S. Perlmutter;Penny Pritzker;J. Richeson;Vicki L. Sato;Kathryn D. Sullivan;C. Woteki
通讯作者：
C. Woteki
NSF 告诉国会，NEON 承包商命悬一线
影响因子：
56.9
作者：
J. Mervis
通讯作者：
J. Mervis
照亮 NEON 的下一步。
影响因子：
56.9
作者：
T. Dawson;S. Frey;E. Kelly;S. Stafford;D. Schimel
通讯作者：
D. Schimel
NSF 解雇陷入困境的 NEON 生态项目经理
影响因子：
56.9
作者：
J. Mervis
通讯作者：
J. Mervis
国家生态观测站网络：起点、计划和科学挑战以及生态预测
影响因子：
56.9
作者：
H. Loescher;E. Kelly;R. Lea
通讯作者：
R. Lea