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Hydrology, rather than wildfire burn extent, determines post-fire organic and black carbon export from mountain rivers in central coastal California
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Type: | Resource | |
Storage: | The size of this resource is 60.9 KB | |
Created: | May 05, 2023 at 11:05 p.m. | |
Last updated: | Sep 05, 2023 at 4:12 p.m. (Metadata update) | |
Published date: | Sep 05, 2023 at 4:12 p.m. | |
DOI: | 10.4211/hs.94fb3a67a74a48c9a89dda8046fdb2df | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 657 |
Downloads: | 19 |
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Abstract
Coastal mountain rivers export disproportionately high quantities of terrestrial organic carbon directly to the ocean, feeding microbial communities and altering coastal ecology. To better predict and mitigate the effects of wildfires on aquatic ecosystems and resources, we must evaluate the relationships between fire, hydrology, and carbon export, particularly in the fire-prone western United States. This study examined the spatiotemporal export of particulate and dissolved organic carbon (POC and DOC, respectively) and particulate and dissolved black carbon (PBC and DBC, respectively) from five coastal mountain watersheds following the 2020 CZU Lightning Complex Fires (California, USA). Despite high variability in watershed burn extent (20-100%), annual POC, DOC, PBC, and DBC concentrations remained relatively stable among the different watersheds. Instead, they correlated significantly with watershed discharge. Our findings indicate that hydrology, rather than burn extent, is a primary driver of post-fire carbon export in coastal mountain watersheds.
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Coverage
Spatial
Temporal
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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 | RAPID: The impact of headwater wildfire burns on the export of materials to the coast | 2101885 |
CUAHSI | Post-fire export of dissolved organic carbon and dissolved black carbon from paired headwater catchments | Pathfinder Fellowship |
Rensselaer Polytechnic Institute | Rensselaer Graduate Research Fellowship |
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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