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Use of geostatistical models to evaluate landscape and stream network controls on post-fire stream nitrate concentrations


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Created: Nov 13, 2021 at 8:32 p.m.
Last updated: May 26, 2022 at 8:18 p.m.
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Abstract

Forested watersheds provide many ecosystem services that have become increasingly threatened by wildfire. Stream nitrate (NO3-) concentrations often increase following wildfire and can remain elevated for decades. We investigated the drivers of persistent elevated stream NO3- in nine watersheds that were burned to varying degrees 16 years prior by the Hayman fire, Colorado, USA. We evaluated the ability of multiple linear regression and spatial stream network modeling approaches to predict observed concentrations of the biologically active solute NO3- and the conservative solute sodium (Na+). Specifically, we quantified the degree to which landscape and stream network characteristics predict stream solute concentrations. No landscape variables were strong predictors of stream Na+. Rather, stream Na+ variability was largely attributed to flow-connected spatial autocorrelation, indicating that downstream hydrologic transport was the primary driver of spatially distributed Na+ concentrations. In contrast, vegetation cover, measured as mean normalized differenced moisture index (NDMI), was the strongest predictor of spatially distributed stream NO3- concentrations. Furthermore, stream NO3- concentrations had weak flow-connected spatial autocorrelation and high spatial variability. This pattern is likely the result of spatially heterogeneous wildfire behavior that leaves intact forest patches interspersed with high burn severity patches that are dominated by shrubs and grasses. Post-fire vegetation also interacts with watershed structure to influence stream NO3- patterns. For example, severely burned convergent hillslopes in headwaters positions were associated with the highest stream NO3 concentrations due to the high proportional influence of hillslope water in these locations. Our findings suggest that reforestation is critical for the recovery of stream NO3- concentrations to pre-fire levels and targeted planting in severely burned convergent hillslopes in headwater positions will likely have a large impact on stream NO3- concentrations.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Hayman Fire
North Latitude
39.3399°
East Longitude
-105.1329°
South Latitude
39.0632°
West Longitude
-105.4831°

Temporal

Start Date:
End Date:

Content

How to Cite

Rhea, A. (2022). Use of geostatistical models to evaluate landscape and stream network controls on post-fire stream nitrate concentrations, HydroShare, http://www.hydroshare.org/resource/e35a308d4672419c9f75f6897c823c92

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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