TY - JOUR
T1 - The AmeriFlux network
T2 - A coalition of the willing
AU - Novick, K. A.
AU - Biederman, J. A.
AU - Desai, A. R.
AU - Litvak, M. E.
AU - Moore, D. J.P.
AU - Scott, R. L.
AU - Torn, M. S.
N1 - Funding Information:
In this section, we turn to the likely avenues of future research to be conducted by AmeriFlux scientists, again drawing connections between the scope of the research and the network’s unique operational characteristics. Towards this end, we performed a keyword analysis on abstracts from more than 60 active grants funded by the US Department of Energy, NSF, USDA, and/or NASA. Projects were initially screened for their mention of keywords like “eddy covariance,” “AmeriFlux,” “flux tower(s)”, and “ecosystem fluxes.” Projects were retained in the analysis if it was clear from the abstract that the investigators planned to use AmeriFlux data in project activities, or planned to generate new observations from flux tower sites in North, Central our Latin America. It was not clear whether all of these towers were already registered AmeriFlux sites, though they are all eligible to register with AmeriFlux (i.e. they represent current or potential AmeriFlux sites). After the 60+ abstracts were compiled, they were searched for a wide range of keywords. Those that appeared in at least three (or 5%) of the abstracts are included in . Table 2 4.1
Funding Information:
The authors would like to thank the AmeriFlux PIs for sharing their data to the network, noting that most do so voluntarily. The authors acknowledge support from the AmeriFlux Management Project , administered by Lawrence Berkeley National Laboratory through the US Department of Energy, Office of Science, under contract number DE-AC02-05CH11231. K. Novick acknowledges support from the NSF Division of Environmental Biology (through grant DEB 1552747 ). A. Desai acknowledges support from NSF Division of Biological Infrastructure Advances in Biological Informatics (through grant DBI-1457897 and DBI-1062204 ). The authors thank Elisabeth Andrews for editing a previous draft of the manuscript.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2018/2/15
Y1 - 2018/2/15
N2 - AmeriFlux scientists were early adopters of a network-enabled approach to ecosystem science that continues to transform the study of land-atmosphere interactions. In the 20 years since its formation, AmeriFlux has grown to include more than 260 flux tower sites in the Americas that support continuous observation of ecosystem carbon, water, and energy fluxes. Many of these sites are co-located within a similar climate regime, and more than 50 have data records that exceed 10 years in length. In this prospective assessment of AmeriFlux's strengths in a new era of network-enabled ecosystem science, we discuss how the longevity and spatial distribution of AmeriFlux data make them exceptionally well suited for disentangling ecosystem response to slowly evolving changes in climate and land-cover, and to rare events like droughts and biological disturbances. More recently, flux towers have also been integrated into environmental observation networks that have broader scientific goals; in North America these include the National Ecological Observatory Network (NEON), Critical Zone Observatory network (CZO), and Long-Term Ecological Research network (LTER). AmeriFlux stands apart from these other networks in its reliance on voluntary participation of individual sites, which receive funding from diverse sources to pursue a wide, transdisciplinary array of research topics. This diffuse, grassroots approach fosters methodological and theoretical innovation, but also challenges network-level data synthesis and data sharing to the network. While AmeriFlux has had strong ties to other regional flux networks and FLUXNET, better integration with networks like NEON, CZO and LTER provides opportunities for new types of cooperation and synergies that could strengthen the scientific output of all these networks.
AB - AmeriFlux scientists were early adopters of a network-enabled approach to ecosystem science that continues to transform the study of land-atmosphere interactions. In the 20 years since its formation, AmeriFlux has grown to include more than 260 flux tower sites in the Americas that support continuous observation of ecosystem carbon, water, and energy fluxes. Many of these sites are co-located within a similar climate regime, and more than 50 have data records that exceed 10 years in length. In this prospective assessment of AmeriFlux's strengths in a new era of network-enabled ecosystem science, we discuss how the longevity and spatial distribution of AmeriFlux data make them exceptionally well suited for disentangling ecosystem response to slowly evolving changes in climate and land-cover, and to rare events like droughts and biological disturbances. More recently, flux towers have also been integrated into environmental observation networks that have broader scientific goals; in North America these include the National Ecological Observatory Network (NEON), Critical Zone Observatory network (CZO), and Long-Term Ecological Research network (LTER). AmeriFlux stands apart from these other networks in its reliance on voluntary participation of individual sites, which receive funding from diverse sources to pursue a wide, transdisciplinary array of research topics. This diffuse, grassroots approach fosters methodological and theoretical innovation, but also challenges network-level data synthesis and data sharing to the network. While AmeriFlux has had strong ties to other regional flux networks and FLUXNET, better integration with networks like NEON, CZO and LTER provides opportunities for new types of cooperation and synergies that could strengthen the scientific output of all these networks.
KW - Big data
KW - Carbon cycle
KW - Climate change
KW - Eddy covariance
KW - Environmental observation networks
KW - Network science
KW - Water cycle
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U2 - 10.1016/j.agrformet.2017.10.009
DO - 10.1016/j.agrformet.2017.10.009
M3 - Article
AN - SCOPUS:85031912398
VL - 249
SP - 444
EP - 456
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
SN - 0168-1923
ER -