Affiliation:
1. Department of Geography Indiana University Bloomington Bloomington IN USA
2. School of Civil and Environmental Engineering Yonsei University Seoul South Korea
3. Department of Environmental Science University of Virginia Charlottesville VA USA
4. Department of Engineering Systems and Environment University of Virginia Charlottesville VA USA
5. Coweeta Hydrologic Laboratory USDA Forest Service Southern Research Station Otto NC USA
Abstract
AbstractIn this study, we investigate how seasonal streamflow and soil moisture patterns have responded to variability in vegetation phenology in humid, temperate forested watersheds without significant seasonal snowmelt over the last four decades. We characterize spring streamflow peaks using 50th percentiles of cumulative daily precipitation, streamflow, and soil moisture measurements, and investigate interactions with remotely sensed, greenup anomalies. After removing a dominant precipitation control, 1‐day earlier greenup is usually associated with about 1‐day early spring flow peak at four low‐elevation deciduous catchments using both sequential and multiple linear regressions. This indicates that the strong dependency of seasonal flow regimes on precipitation is mediated by vegetation seasonality, especially by greenup variability. In contrast, we find less significant correlations of the greenup anomalies on flow percentiles from two paired evergreen and two high‐elevation deciduous catchments. At a plot scale, similar correlations were found only at an upslope topographic position, where precipitation also showed tighter coupling with moisture seasonal patterns than downslope. Our study suggests that rainfall‐runoff and rainfall‐soil moisture relations have been closely mediated by vegetation seasonality in deciduous forests, especially by greenup anomalies, but patterned along topoclimate and hillslope gradients. This study emphasizes that it is important to understand phenological responses to ongoing climate change (in both long‐term and interannual variability) for prediction of seasonal flow regimes especially in deciduous forested catchments.
Funder
National Research Foundation of Korea
National Science Foundation
Yonsei University
USDA Forest Service
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology