Longitudinal propagation of aquatic disturbances following the largest wildfire recorded in New Mexico, USA

Justin Nichols, Eric Joseph, Asmita Kaphle, Paige Tunby, Lina Rodríguez, Aashish Khandelwal, Justin Reale, Peter Regier, David J. Horn () and Ricardo González-Pinzón ()
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Justin Nichols: University of New Mexico
Eric Joseph: University of New Mexico
Asmita Kaphle: University of New Mexico
Paige Tunby: University of New Mexico
Lina Rodríguez: University of New Mexico
Aashish Khandelwal: University of New Mexico
Justin Reale: U.S. Army Corps of Engineers, Albuquerque District
Peter Regier: Marine and Coastal Research Laboratory, Pacific Northwest National Laboratory
David J. Horn: University of New Mexico
Ricardo González-Pinzón: University of New Mexico

Nature Communications, 2024, vol. 15, issue 1, 1-16

Abstract: Abstract Wildfire disturbance propagation along fluvial networks remains poorly understood. We use incident, atmospheric, and water-quality data from the largest wildfire in New Mexico’s history to quantify how this gigafire affected surface runoff processes and mobilized wildfire disturbances into fluvial networks after burning 1382 km2. Surface runoff post-fire increased compared to pre-fire conditions, and precipitation events that are frequently observed in the affected watershed ( 160 km downstream of the burn perimeter. Our findings emphasize the need to incorporate spatially resolved longitudinal sampling designs into wildfire water quality research and highlight the spatiotemporal co-dependency among atmospheric, terrestrial, and aquatic processes in defining the net outcome of wildfire disturbance propagation along impacted fluvial networks.

Date: 2024
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DOI: 10.1038/s41467-024-51306-9

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