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Carbon Evasion Dynamics in a Tropical, High-Elevation, Peatland Ecosystem are Mediated by Watershed Morphology
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| Type: | Resource | |
| Storage: | The size of this resource is 3.5 MB | |
| Created: | Oct 25, 2024 at 2:18 a.m. | |
| Last updated: | Mar 05, 2025 at 9:51 p.m. (Metadata update) | |
| Published date: | Oct 25, 2024 at 3:24 p.m. | |
| DOI: | 10.4211/hs.5b7f7c870eed4f8591bc8be01b34ee54 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 296 |
| Downloads: | 9 |
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Abstract
Inland waters emit large amounts of carbon and are key players in the global carbon budget. Particularly high rates of carbon emissions have been reported in streams draining mountains, tropical regions, and peatlands. However, few studies have examined the spatial variability of CO2 concentrations and fluxes occurring within these systems, particularly as a function of catchment morphology. Here we evaluated spatial patterns of CO2 in three tropical, headwater catchments in relation to the river network and stream geomorphology. We measured dissolved carbon dioxide (pCO2), aquatic CO2 emissions, discharge, and stream depth and width at high spatial resolutions along multiple stream reaches. Confirming previous studies, we found that tropical headwater streams are an important source of CO2 to the atmosphere. More notably, we found marked, predictable spatial organization in aquatic carbon fluxes as a function of landscape position. For example, pCO2 was consistently high (>10,000 ppm) at locations close to groundwater sources and just downstream of hydrologically connected wetlands, but consistently low (<1,000 ppm) in high gradient locations or river segments with larger drainage areas. Taken together, our findings suggest that catchment area and stream slope are important drivers of pCO2 and gas transfer velocity (k) in mountainous streams, and as such they should be considered in catchment-scale assessments of CO2 emissions. Furthermore, our work suggests that accurate estimation of CO2 emissions requires understanding of dynamics across the entire stream network, from the smallest seeps to larger streams.
Subject Keywords
Coverage
Spatial
Temporal
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Science Foundation (NSF) | #EAR-1847331 | |
| National Science Foundation (NSF) | #EAR-2317854 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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