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Hiroki Ikawa

Researcher at National Agriculture and Food Research Organization

Publications -  44
Citations -  1569

Hiroki Ikawa is an academic researcher from National Agriculture and Food Research Organization. The author has contributed to research in topics: Eddy covariance & Black spruce. The author has an hindex of 16, co-authored 38 publications receiving 729 citations. Previous affiliations of Hiroki Ikawa include San Diego State University & University of California, Davis.

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The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Gilberto Pastorello, +303 more
- 09 Jul 2020 - 
TL;DR: The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe, and is detailed in this paper.
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Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

Housen Chu, +74 more
TL;DR: In this article, the authors evaluate the representativeness of flux footprints and evaluate potential biases as a consequence of the footprint-to-target-area mismatch, which can be used as a guide to identify site-periods suitable for specific applications.
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Increasing contribution of peatlands to boreal evapotranspiration in a warming climate

Manuel Helbig, +61 more
TL;DR: The authors showed that peatland ET increases more than forest ET with increasing VPD using observations from 95 eddy covariance tower sites, indicating a stronger warming response in peatlands.
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The three major axes of terrestrial ecosystem function

Mirco Migliavacca, +75 more
- 21 Oct 2021 - 
TL;DR: In this paper, the authors derived a set of ecosystem functions from a dataset of surface gas exchange measurements across major terrestrial biomes and climate zones and found that most of the variability within ecosystem functions (71.8%) is captured by three key axes.
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Understory CO2, sensible heat, and latent heat fluxes in a black spruce forest in interior Alaska

TL;DR: In this article, the authors measured CO2, sensible heat, and latent heat fluxes with eddy covariance (EC) in one of those large canopy gaps, and estimated understory fluxes in a black spruce forest in 2011-2014.