Abstract
Abstract. Interception is the storage and subsequent evaporation of rainfall by
above-ground structures, including canopy and groundcover vegetation and
surface litter. Accurately quantifying interception is critical for
understanding how ecosystems partition incoming precipitation, but it is
difficult and costly to measure, leading most studies to rely on modeled
interception estimates. Moreover, forest interception estimates typically
focus only on canopy storage, despite the potential for substantial
interception by groundcover vegetation and surface litter. In this study, we developed an approach to quantify “total” interception (i.e., including forest canopy, understory, and surface litter layers) using measurements of shallow soil moisture dynamics during rainfall events. Across 34 pine and mixed forest stands in Florida (USA), we used soil moisture and precipitation (P) data to estimate interception storage capacity (βs), a parameter required to estimate total annual interception (Ia) relative to P. Estimated values for βs(mean βs=0.30 cm; 0.01≤βs≤0.62 cm) and Ia∕P (mean Ia/P=0.14; 0.06≤Ia/P≤0.21) were broadly consistent with reported literature values for these ecosystems and were significantly predicted by forest structural attributes (leaf area index and percent ground cover) as well as other site variables (e.g., water table depth). The best-fit model was dominated by LAI and explained nearly
80 % of observed βs variation. These results suggest that
whole-forest interception can be estimated using near-surface soil moisture
time series, though additional direct comparisons would further support this assertion. Additionally, variability in interception across a single forest type underscores the need for expanded empirical measurement. Potential cost savings and logistical advantages of this proposed method relative to conventional, labor-intensive interception measurements may improve empirical estimation of this critical water budget element.
Funder
South Florida Water Management District
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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