Carbon dynamics of Western North American boreal forests in response to stand-replacing disturbances

Yu, Li; Fan, Lei; Ciais, Philippe; Sitch, Stephen; Fensholt, Rasmus; Xiao, Xiangming; Yuan, Wenping; Chen, Jingming; Zhang, Yingtong; Wu, Xiaocui; Qin, Yuanwei; Ma, Mingguo; Chang, Zhongbing; Wang, Mengjia; Yan, Kai; Song, Lisheng; Wigneron, Jean‐Pierre

doi:10.1016/j.jag.2023.103410

Cited by 1 publication

(2 citation statements)

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“…In addition, after dieback, insect attacks and diseases proliferate on weakened trees. These effects are at play in relation to the immense carbon losses observed in Siberian forests (Fan et al, 2022), in eastern Australia (Qin et al, 2022), and to a lesser extent in Canada (Yu et al, 2023). Temperate regions are also strongly affected by droughts.…”

Section: Discussionmentioning

confidence: 99%

“…Carbon losses can also be found in central regions of Canada, which are strongly affected by stand-replacing disturbances (e.g., fires, logging and insect outbreaks (Yu et al, 2023)). Note that many pixels have to be masked out in those regions for issues in L-VOD data quality (mostly due to contamination by open water bodies), limiting the L-VOD coverage on the North American boreal forests.…”

Section: Agb Dynamics In the Boreal Regionsmentioning

confidence: 99%

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Global carbon balance of the forest: satellite-based L-VOD results over the last decade

Wigneron,

Ciais,

et al. 2024

Front. Remote Sens.

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Monitoring forest carbon (C) stocks is essential to better assess their role in the global carbon balance, and to better model and predict long-term trends and inter-annual variability in atmospheric CO2 concentrations. On a national scale, national forest inventories (NFIs) can provide estimates of forest carbon stocks, but these estimates are only available in certain countries, are limited by time lags due to periodic revisits, and cannot provide spatially continuous mapping of forests. In this context, remote sensing offers many advantages for monitoring above-ground biomass (AGB) on a global scale with good spatial (50–100 m) and temporal (annual) resolutions. Remote sensing has been used for several decades to monitor vegetation. However, traditional methods of monitoring AGB using optical or microwave sensors are affected by saturation effects for moderately or densely vegetated canopies, limiting their performance. Low-frequency passive microwave remote sensing is less affected by these saturation effects: saturation only occurs at AGB levels of around 400 t/ha at L-band (frequency of around 1.4 GHz). Despite its coarse spatial resolution of the order of 25 km × 25 km, this method based on the L-VOD (vegetation optical depth at L-band) index has recently established itself as an essential approach for monitoring annual variations in forest AGB on a continental scale. Thus, L-VOD has been applied to forest monitoring in many continents and biomes: in the tropics (especially in the Amazon and Congo basins), in boreal regions (Siberia, Canada), in Europe, China, Australia, etc. However, no reference study has yet been published to analyze L-VOD in detail in terms of capabilities, validation and results. This paper fills this gap by presenting the physical principles of L-VOD calculation, analyzing the performance of L-VOD for monitoring AGB and reviewing the main applications of L-VOD for tracking the carbon balance of global vegetation over the last decade (2010–2019).

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Section: Discussionmentioning

confidence: 99%

Section: Agb Dynamics In the Boreal Regionsmentioning

confidence: 99%