2023
DOI: 10.1111/gcb.16772
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On the uncertainty in estimates of the carbon balance recovery time after forest clear‐cutting

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Cited by 5 publications
(5 citation statements)
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“…Across boreal forests, NPP has been estimated to average (±SD) at 2.8 ± 1.6 Mg C ha −1 year −1 ( n = 7; Pregitzer & Euskirchen, 2004), 4.2 ± 2.2 Mg C ha −1 year −1 ( n = 24; Gower et al., 2001) and 3.7 ± 1.5 Mg C ha −1 year −1 ( n = 21; Pappas et al., 2020), with considerable variation between boreal humid evergreen (2.7 Mg C ha −1 year −1 ; n = 38), semiarid evergreen (3.3 Mg C ha −1 year −1 ; n = 14) and semiarid deciduous (5.4 Mg C ha −1 year −1 ; n = 6) forests (Luyssaert et al., 2007). Mean NPP for boreal forests in Siberia is at the lower end with 1.2 Mg C ha −1 year −1 ( n = 4; Schulze et al., 1999) compared to 3.6 ± 1.1 Mg C ha −1 year −1 ( n = 50; Peichl et al., 2023) and 5.6 ± 1.8 Mg C ha −1 year −1 (Zheng et al., 2004) estimated for managed boreal forests in Scandinavia. The largest uncertainty in empirical NPP estimates lie in the challenge of quantifying fine root production (representing about 30%–70% of NPP; Kalyn & Van Rees, 2006; Yuan & Chen, 2010), various other plant C loss components (Clark et al., 2001; Luyssaert et al., 2007), and contributions from ground vegetation, which sometimes accounts for over 50% of NPP (Bond‐Lamberty et al., 2004b; Gower et al., 2001; Nilsson & Wardle, 2005; Peichl et al., 2022).…”
Section: Carbon Inputsmentioning
confidence: 99%
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“…Across boreal forests, NPP has been estimated to average (±SD) at 2.8 ± 1.6 Mg C ha −1 year −1 ( n = 7; Pregitzer & Euskirchen, 2004), 4.2 ± 2.2 Mg C ha −1 year −1 ( n = 24; Gower et al., 2001) and 3.7 ± 1.5 Mg C ha −1 year −1 ( n = 21; Pappas et al., 2020), with considerable variation between boreal humid evergreen (2.7 Mg C ha −1 year −1 ; n = 38), semiarid evergreen (3.3 Mg C ha −1 year −1 ; n = 14) and semiarid deciduous (5.4 Mg C ha −1 year −1 ; n = 6) forests (Luyssaert et al., 2007). Mean NPP for boreal forests in Siberia is at the lower end with 1.2 Mg C ha −1 year −1 ( n = 4; Schulze et al., 1999) compared to 3.6 ± 1.1 Mg C ha −1 year −1 ( n = 50; Peichl et al., 2023) and 5.6 ± 1.8 Mg C ha −1 year −1 (Zheng et al., 2004) estimated for managed boreal forests in Scandinavia. The largest uncertainty in empirical NPP estimates lie in the challenge of quantifying fine root production (representing about 30%–70% of NPP; Kalyn & Van Rees, 2006; Yuan & Chen, 2010), various other plant C loss components (Clark et al., 2001; Luyssaert et al., 2007), and contributions from ground vegetation, which sometimes accounts for over 50% of NPP (Bond‐Lamberty et al., 2004b; Gower et al., 2001; Nilsson & Wardle, 2005; Peichl et al., 2022).…”
Section: Carbon Inputsmentioning
confidence: 99%
“…At present, our knowledge of differences in the NPP dynamics and rates following clear‐cutting versus wildfire is limited due to a deficiency of comparative chronosequence studies. Although active stand re‐establishment via planting of tree seedlings after clear‐cutting could be expected to promote faster NPP recovery rates (Peichl et al., 2023), relatively fast NPP recovery rates following wildfire have also been observed (Hicke et al., 2003; Wirth et al., 2002), possibly due to enhanced soil N availability after burning (DeLuca et al., 2006; Gundale et al., 2005), which sometimes coincides with greater deciduous tree dominance (discussed below). For example, in a study in central Canada, litterfall production was not found to differ between young stands following fire versus logging (Chen et al., 2017).…”
Section: Carbon Inputsmentioning
confidence: 99%
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