TY - JOUR
T1 - Enhancing global change experiments through integration of remote-sensing techniques
AU - Shiklomanov, Alexey N.
AU - Bradley, Bethany A.
AU - Dahlin, Kyla M.
AU - M Fox, Andrew
AU - Gough, Christopher M.
AU - Hoffman, Forrest M.
AU - M Middleton, Elizabeth
AU - Serbin, Shawn P.
AU - Smallman, Luke
AU - Smith, William K.
N1 - Funding Information:
This paper was initially conceived at the INTERFACE workshop “Frontiers in terrestrial climate feedbacks: integrating models and experiments to explore climate feedbacks in a managed and warming world”, funded by US National Science Foundation (NSF) grant 0955771. ANS was supported by a National Aeronautics and Space Administration (NASA) Earth & Space Science Fellowship under award NNX16AO13H and by NSF grant 1655095; BAB was supported by NASA’s Terrestrial Ecology Program under award NNX14AJ14G; KMD was supported by NSF MSB grant 1702379; FMH was supported by the RUBISCO SFA, which is sponsored by the Regional & Global Climate Modeling Program of the Office of Biological and Environmental Research (BER) in the US Department of Energy’s (DOE’s) Office of Science; CMG was supported by NSF EF grant 1550657; SPS was supported by the Next-Generation Ecosystem Experiments (NGEE Arctic and NGEE Tropics) that are supported by BER DOE’s Office of Science and through DOE contract DE-SC0012704 to Brookhaven National Laboratory. We thank B Bond-Lamberty, M Dietze, C Averill, I Fer, T McCabe, A Gardella, and E Cowdery for their feedback on early drafts of this manuscript; and A Burnett, E O’Connor, and A Rogers for providing the data for Figure 2.
Funding Information:
This paper was initially conceived at the INTERFACE workshop ?Frontiers in terrestrial climate feedbacks: integrating models and experiments to explore climate feedbacks in a managed and warming world?, funded by US National Science Foundation (NSF) grant 0955771. ANS was supported by a National Aeronautics and Space Administration (NASA) Earth & Space Science Fellowship under award NNX16AO13H and by NSF grant 1655095; BAB was supported by NASA's Terrestrial Ecology Program under award NNX14AJ14G; KMD was supported by NSF MSB grant 1702379; FMH was supported by the RUBISCO SFA, which is sponsored by the Regional & Global Climate Modeling Program of the Office of Biological and Environmental Research (BER) in the US Department of Energy's (DOE's) Office of Science; CMG was supported by NSF EF grant 1550657; SPS was supported by the Next-Generation Ecosystem Experiments (NGEE Arctic and NGEE Tropics) that are supported by BER DOE's Office of Science and through DOE contract DE-SC0012704 to Brookhaven National Laboratory. We thank B Bond-Lamberty, M Dietze, C Averill, I Fer, T McCabe, A Gardella, and E Cowdery for their feedback on early drafts of this manuscript; and A Burnett, E O'Connor, and A Rogers for providing the data for Figure. Notice: Manuscript Authored by Battelle Memorial Institute Under Contract Number DE-AC05-76RL01830 with the US Department of Energy. The US Government retains and the publisher, by accepting this article for publication, acknowledges that the US Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so for US Government purposed. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan: (http://energy.gov/downloads/doe-public-access-plan).
Publisher Copyright:
© 2019 Battelle Memorial Institute. Frontiers in Ecology and the Environment published by Wiley Periodicals Inc. on behalf of the Ecological Society of America.
PY - 2019/5
Y1 - 2019/5
N2 - Global change experiments are often spatially and temporally limited because they are time- and labor-intensive, and expensive to carry out. We describe how the incorporation of remote-sensing techniques into global change experiments can complement traditional methods and provide additional information about system processes. We describe five emerging near-surface remote-sensing techniques: spectroscopy, thermal and fluorescence imaging, terrestrial laser scanning, digital repeat photography, and unmanned aerial systems. The addition of such techniques can reduce cost and effort, provide novel information, and expand existing observations by improving their context, accuracy, and completeness. In addition, we contend that use of airborne and satellite remote-sensing data during site selection can improve the ecological representativeness of future experiments. We conclude by recommending a high level of communication and collaboration between remote-sensing scientists and ecologists at all stages of global change experimentation.
AB - Global change experiments are often spatially and temporally limited because they are time- and labor-intensive, and expensive to carry out. We describe how the incorporation of remote-sensing techniques into global change experiments can complement traditional methods and provide additional information about system processes. We describe five emerging near-surface remote-sensing techniques: spectroscopy, thermal and fluorescence imaging, terrestrial laser scanning, digital repeat photography, and unmanned aerial systems. The addition of such techniques can reduce cost and effort, provide novel information, and expand existing observations by improving their context, accuracy, and completeness. In addition, we contend that use of airborne and satellite remote-sensing data during site selection can improve the ecological representativeness of future experiments. We conclude by recommending a high level of communication and collaboration between remote-sensing scientists and ecologists at all stages of global change experimentation.
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U2 - 10.1002/fee.2031
DO - 10.1002/fee.2031
M3 - Review article
AN - SCOPUS:85063676867
VL - 17
SP - 215
EP - 224
JO - Frontiers in Ecology and the Environment
JF - Frontiers in Ecology and the Environment
SN - 1540-9295
IS - 4
ER -