DOI: 10.5194/hess-24-1859-2020
论文题名: A proposed method for estimating interception from near-surface soil moisture response
作者: Acharya S. ; McLaughlin D. ; Kaplan D. ; Cohen M.J.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 4 起始页码: 1859
结束页码: 1870
语种: 英语
Scopus关键词: Budget control
; Digital storage
; Ecosystems
; Forestry
; Groundwater
; Rain
; Soil moisture
; Vegetation
; Annual interceptions
; Best-fit models
; Empirical estimations
; Empirical measurement
; Forest canopies
; Forest structural attributes
; Storage capacity
; Water table depths
; Soil surveys
; coniferous forest
; evapotranspiration
; interception
; leaf area index
; leaf litter
; mixed forest
; rainfall
; shallow soil
; soil moisture
; water budget
; water table
; Florida [United States]
; United States
英文摘要: 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. © Author(s) 2020. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162729
Appears in Collections: 气候变化与战略
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作者单位: Acharya, S., School of Forest Resources and Conservation, University of Florida, Gainesville, FL, United States; McLaughlin, D., Department of Forest Resources and Conservation, Virginia Tech, Blacksburg, VA, United States; Kaplan, D., Environmental Engineering Sciences Department, University of Florida, Gainesville, FL, United States; Cohen, M.J., School of Forest Resources and Conservation, University of Florida, Gainesville, FL, United States
Recommended Citation:
Acharya S.,McLaughlin D.,Kaplan D.,et al. A proposed method for estimating interception from near-surface soil moisture response[J]. Hydrology and Earth System Sciences,2020-01-01,24(4)