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Title: The AmeriFlux network: A coalition of the willing

Abstract

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. Thismore » diffuse, grassroots approach fosters methodological and theoretical innovation, but also challenges network-level data synthesis and data sharing to the network. In conclusion, 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.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [2];  [6]
  1. Indiana Univ., Bloomington, IN (United States). School of Public and Environmental Affairs
  2. US Dept. of Agriculture (USDA)., Tucson, AZ (United States). Southwest Watershed Research Center, Agricultural Research Service
  3. Univ. of Wisconsin, Madison, WI (United States). Dept. of Atmospheric and Oceanic Sciences
  4. Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Biology
  5. Univ. of Arizona, Tucson, AZ (United States). School of Natural Resources
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Climate and Ecosystem Sciences Division
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1476627
Alternate Identifier(s):
OSTI ID: 1549405
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Agricultural and Forest Meteorology
Additional Journal Information:
Journal Volume: 249; Journal Issue: C; Journal ID: ISSN 0168-1923
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Eddy covariance; Network science; Climate change; Carbon cycle; Water cycle; Big data; Environmental observation networks

Citation Formats

Novick, K. A., Biederman, J. A., Desai, A. R., Litvak, M. E., Moore, D. J. P., Scott, R. L., and Torn, M. S. The AmeriFlux network: A coalition of the willing. United States: N. p., 2017. Web. doi:10.1016/j.agrformet.2017.10.009.
Novick, K. A., Biederman, J. A., Desai, A. R., Litvak, M. E., Moore, D. J. P., Scott, R. L., & Torn, M. S. The AmeriFlux network: A coalition of the willing. United States. https://doi.org/10.1016/j.agrformet.2017.10.009
Novick, K. A., Biederman, J. A., Desai, A. R., Litvak, M. E., Moore, D. J. P., Scott, R. L., and Torn, M. S. Mon . "The AmeriFlux network: A coalition of the willing". United States. https://doi.org/10.1016/j.agrformet.2017.10.009. https://www.osti.gov/servlets/purl/1476627.
@article{osti_1476627,
title = {The AmeriFlux network: A coalition of the willing},
author = {Novick, K. A. and Biederman, J. A. and Desai, A. R. and Litvak, M. E. and Moore, D. J. P. and Scott, R. L. and Torn, M. S.},
abstractNote = {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. In conclusion, 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.},
doi = {10.1016/j.agrformet.2017.10.009},
journal = {Agricultural and Forest Meteorology},
number = C,
volume = 249,
place = {United States},
year = {2017},
month = {10}
}

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