2019
DOI: 10.1111/gcb.14807
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How eddy covariance flux measurements have contributed to our understanding of Global Change Biology

Abstract: A global network of long‐term carbon and water flux measurements has existed since the late 1990s. With its representative sampling of the terrestrial biosphere's climate and ecological spaces, this network is providing background information and direct measurements on how ecosystem metabolism responds to environmental and biological forcings and how they may be changing in a warmer world with more carbon dioxide. In this review, I explore how carbon and water fluxes of the world's ecosystem are responding to … Show more

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Cited by 308 publications
(208 citation statements)
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References 274 publications
(445 reference statements)
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“…The annual increase of 12 g C m -2 d À1 of CUP is somewhat higher than the global average increase (6 g C m -2 d À1 ) estimated by Baldocchi (2020).…”
Section: Trendsmentioning
confidence: 58%
See 1 more Smart Citation
“…The annual increase of 12 g C m -2 d À1 of CUP is somewhat higher than the global average increase (6 g C m -2 d À1 ) estimated by Baldocchi (2020).…”
Section: Trendsmentioning
confidence: 58%
“…(3) Long-term flux measurements are essential to identify trends and distinguish them from random noise. In consequence already established sites with long-term measurements need to continue operation (Baldocchi, 2020). Moreover, longterm flux measurements can provide a data base to distinguish between normal and extreme ecosystem responses to environmental drivers.…”
Section: Introductionmentioning
confidence: 99%
“…The eddy covariance (EC) technique is the most common method of measuring net CO 2 and water vapor fluxes between terrestrial ecosystems and the atmosphere (Baldocchi, 2020). For the FLUXNET sites, the gap-filled and partitioned flux data and meteorological data were obtained from the FLUXNET2015 Dataset (http://fluxn et.fluxd ata.org/data/fluxn et201 5-datas et/).…”
Section: Flux Data Processingmentioning
confidence: 99%
“…Meanwhile, there was a significant positive correlation between RE and GEP (Table S3) with a ratio of 0.75. The IAV of GEP was controlled by temperature at the regional scale and driven by moisture, LAI and residues as well as temperature at the single site scale [4,53]. Moreover, GEP was more sensitive to drought than RE in most ecosystems [15].…”
Section: The Iav Of Nep and Its Climatic And Biotic Direct Controlsmentioning
confidence: 99%
“…The Previous studies suggest that climatic and biotic drivers may ultimately cause the IAV of NEP by regulating phenological and physiological indicators [4,9,15]. Therefore, the IAV of NEP can be explained by indicators related to physiological (described by the carbon uptake or release peak) and phenological (described by the corresponding duration) processes of the plant [53]. The framework provides a new perspective on the explaining the causes of the IAV of NEP [8,14,15,23].…”
Section: Partitioning Nep Into the Integration Of Peak Value And Duramentioning
confidence: 99%