In the current database, a thorough global-scale assessment has been conducted to examine the mobilization of carbon in tropical regions. This mobilization is attributed to a pumping mechanism resulting from the interaction between fluvial dynamics and riparian vegetation. The primary goal was to assess the annual carbon recruitment, particularly in the form of Large Wood (LW), over the period 2000-2019. This assessment encompassed the study of 162 major tropical rivers across 402 specified regions of interest, categorized as free-flowing in accordance with Grill et al. 2019. To explore the impact of anthropogenic influences on the capability of rivers to export carbon through eCP, an additional set of 115 regions of interest (ROIs), identified as non-free-flowing by Grill et al. 2019, was selected. The attribute table shows key findings for each polygon (i.e., ROI), including the outcomes of the study (eCE, eCEA, carbon signature), general information about the ROI (name and identification code of the river to which the ROI belongs, code for identifying other ROIs, coordinates of the polygon defining the ROI in GeoJSON format), and the crucial variables for the analysis (Area of river-driven forest loss, ROI Area). The dataset is provided as a stand-alone table, Esri geodatabase, and Geopackage formats. The file "Source_Code_and_Results.zip" contains the codes for generating the results accompanied by a user guide
A global dataset of carbon pumping by the world’s largest tropical rivers / Salerno, Luca; GIULIO TONOLO, Fabio; Camporeale, CARLO VINCENZO. - (2024). [10.6084/m9.figshare.24794295.v2]
A global dataset of carbon pumping by the world’s largest tropical rivers
Luca, Salerno;Fabio, Giulio Tonolo;Carlo, Camporeale
2024
Abstract
In the current database, a thorough global-scale assessment has been conducted to examine the mobilization of carbon in tropical regions. This mobilization is attributed to a pumping mechanism resulting from the interaction between fluvial dynamics and riparian vegetation. The primary goal was to assess the annual carbon recruitment, particularly in the form of Large Wood (LW), over the period 2000-2019. This assessment encompassed the study of 162 major tropical rivers across 402 specified regions of interest, categorized as free-flowing in accordance with Grill et al. 2019. To explore the impact of anthropogenic influences on the capability of rivers to export carbon through eCP, an additional set of 115 regions of interest (ROIs), identified as non-free-flowing by Grill et al. 2019, was selected. The attribute table shows key findings for each polygon (i.e., ROI), including the outcomes of the study (eCE, eCEA, carbon signature), general information about the ROI (name and identification code of the river to which the ROI belongs, code for identifying other ROIs, coordinates of the polygon defining the ROI in GeoJSON format), and the crucial variables for the analysis (Area of river-driven forest loss, ROI Area). The dataset is provided as a stand-alone table, Esri geodatabase, and Geopackage formats. The file "Source_Code_and_Results.zip" contains the codes for generating the results accompanied by a user guidePubblicazioni consigliate
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https://hdl.handle.net/11583/2996427
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