2021
DOI: 10.1080/16000889.2021.1915648
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Selected breakpoints of net forest carbon uptake at four eddy-covariance sites

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Cited by 14 publications
(7 citation statements)
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“…This sense of decadal “breakpoints” in long‐term NEE found at US‐Ha1 and also noted in our record of US‐PFa is further confirmed in Foken et al. ( 2021 ), which considered several long‐running (minimum 20 years) EC sites in Europe (FI‐Hyy, DE‐Hai, and De‐Bay) in addition to US‐Ha1. That manuscript noted that abrupt or step changes in annual fluxes were common and linked to potential “regime transitions” associated with step changes in drivers, pointing to the non‐smooth trends typical in climate change outside CO 2 , such as the reported regime shift in the 1980s related to cascading effects from episodic events like volcanic eruptions (Reid et al., 2016 ).…”
Section: Discussionsupporting
confidence: 92%
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“…This sense of decadal “breakpoints” in long‐term NEE found at US‐Ha1 and also noted in our record of US‐PFa is further confirmed in Foken et al. ( 2021 ), which considered several long‐running (minimum 20 years) EC sites in Europe (FI‐Hyy, DE‐Hai, and De‐Bay) in addition to US‐Ha1. That manuscript noted that abrupt or step changes in annual fluxes were common and linked to potential “regime transitions” associated with step changes in drivers, pointing to the non‐smooth trends typical in climate change outside CO 2 , such as the reported regime shift in the 1980s related to cascading effects from episodic events like volcanic eruptions (Reid et al., 2016 ).…”
Section: Discussionsupporting
confidence: 92%
“…EC flux towers are a mature technology (Baldocchi, 2020 ). The growing number of long‐term records has challenged our estimation of trends, sensitivities, and models (Foken et al., 2021 ; Keenan et al., 2012 ). Insight from tower clusters sampling key gradients or representative ecosystems has helped resolve spatial variation in carbon cycle‐climate sensitivity (e.g., Biederman et al., 2017 ) or regional upscaling (e.g., J. Xiao et al., 2011 ).…”
Section: Discussionmentioning
confidence: 99%
“…The results here further showed that increasing canopy roughness and concomitant shrinking of flux footprint imposes additional challenges to estimate footprint‐weighted LAI and species composition trends at site level. The effects of such small‐scale heterogeneities, occurring often at scales beyond the resolution of current LAI products, should be further explored whenever interpreting long‐term trends from forest FluxNet sites (Foken et al, 2021). In the Nordic countries, emerging high‐resolution (sub 25 m) biomass and vegetation data products that combine data from national forest inventory plots and remote sensing (Kangas et al, 2018) can provide an interesting opportunity for such analyses, as well as for benchmarking the global LAI products (Härkönen et al, 2015; Zhu et al, 2013b).…”
Section: Discussionmentioning
confidence: 99%
“…For comparison reasons, the eddy covariance data with a sampling frequency of 10 Hz at a 36 m height and the FODS data of quartet array from the turbulence tower located approximately 70 m away from the main tower were used. See Foken et al (2021) for more details on the turbulence tower specification. The quartet fiber configuration at the turbulence tower is the same as the main tower extending from the ground to a 34 m height.…”
Section: Part 2: Shroud Experiments In a Forestmentioning
confidence: 99%