2020
DOI: 10.1016/j.oneear.2020.07.009
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How Simulations of the Land Carbon Sink Are Biased by Ignoring Fluvial Carbon Transfers: A Case Study for the Amazon Basin

Abstract: Highlights d Ignoring fluvial C exports leads to underestimation of the land uptake of CO 2 d Ignoring fluvial C exports leads to overestimation of land C stock increases d Biases scale to fluvial C exports to the coast rather than to aquatic CO 2 emissions d Future fluvial C exports are likely to increase with runoff and primary production

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Cited by 42 publications
(61 citation statements)
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“…GIEMS is also known to underestimate inundation under vegetated areas (Prigent et al, 2007;Papa et al, 2010) and has difficulties capturing small inundated areas (Prigent et al, 2007;Lauerwald et al, 2017). Indeed, with the GIEMS data we produce an overall flooded area for the Congo Basin of just 3 %, less than one-third of that produced with the Gumbricht dataset (Gumbricht et al, 2017) or the GLWD (Lehner and Döll, 2004). As such, it is to be expected that there is a large RMSE (272 %; Table 2) between simulated flooded area and GIEMS; more importantly, the seasonality of the two is highly correlated (R 2 = 0.67; Table 2).…”
Section: Simulation Of Hydrology and Aquatic Carbon Fluxesmentioning
confidence: 85%
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“…GIEMS is also known to underestimate inundation under vegetated areas (Prigent et al, 2007;Papa et al, 2010) and has difficulties capturing small inundated areas (Prigent et al, 2007;Lauerwald et al, 2017). Indeed, with the GIEMS data we produce an overall flooded area for the Congo Basin of just 3 %, less than one-third of that produced with the Gumbricht dataset (Gumbricht et al, 2017) or the GLWD (Lehner and Döll, 2004). As such, it is to be expected that there is a large RMSE (272 %; Table 2) between simulated flooded area and GIEMS; more importantly, the seasonality of the two is highly correlated (R 2 = 0.67; Table 2).…”
Section: Simulation Of Hydrology and Aquatic Carbon Fluxesmentioning
confidence: 85%
“…a maximum of 10 % of the surface area of the Congo Basin can be inundated with water. This is identical to the mean MFF value of 10 % produced with the Global Lakes and Wetlands Database, GLWD (Lehner and Döll, 2004;Borges et al, 2015b). We also created an MFS forcing file from the same dataset ( Fig.…”
Section: Development Of Floodplain and Swamp Forcing Filesmentioning
confidence: 93%
“…Anthropogenic perturbations of riverine C fluxes are manifold and comprise direct impacts through changing C and nutrient inputs following land-use change and agricultural activities, wastewater discharge, and hydraulic management (e.g. Tian et al, 2015;Lauerwald et al, 2020;Hastie et al, 2021;Maavara et al, 2017). There are also indirect impacts following climate change and changes in atmospheric composition.…”
Section: Introductionmentioning
confidence: 99%
“…Together, these perturbations have accelerated the turnover of C along the terrestrial-inland water continuum. The terrestrial C sink, which is classically estimated without taking into account the C exports through the river network, is thus generally overestimated (Regnier et al, 2013;Lauerwald et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
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