A proposed method for estimating interception from near-surface soil moisture response

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dc.contributor.authorAcharya, Subodhen
dc.contributor.authorMcLaughlin, Daniel L.en
dc.contributor.authorKaplan, Daviden
dc.contributor.authorCohen, Matthew J.en
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.date.accessioned2020-05-05T19:12:11Zen
dc.date.available2020-05-05T19:12:11Zen
dc.date.issued2020-04-15en
dc.description.abstractInterception 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 (beta(s)), a parameter required to estimate total annual interception (I-a) relative to P. Estimated values for beta(s)(mean beta(s) = 0.30 cm; 0.01 <= beta(s) <= 0.62 cm) and I-a/P (mean I-a/P = 0.14; 0.06 <= I-a/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 beta(s) 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.en
dc.description.notesThis research has been supported by the Florida Department of Agricultural and Consumer Services and the Northwest Florida Water Management District (NWFWMD), the South Florida Water Management District (SFWMD), the Southwest Florida Water Management District (SWFWMD), the St. Johns River Water Management District (SJRWMD), and the Suwannee River Water Management District (SRWMD).en
dc.description.sponsorshipFlorida Department of Agricultural and Consumer Services; Northwest Florida Water Management District (NWFWMD); South Florida Water Management District (SFWMD); Southwest Florida Water Management District (SWFWMD); St. Johns River Water Management District (SJRWMD); Suwannee River Water Management District (SRWMD)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.5194/hess-24-1859-2020en
dc.identifier.eissn1607-7938en
dc.identifier.issn1027-5606en
dc.identifier.issue4en
dc.identifier.urihttp://hdl.handle.net/10919/97973en
dc.identifier.volume24en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleA proposed method for estimating interception from near-surface soil moisture responseen
dc.title.serialHydrology and Earth System Sciencesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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