1996
DOI: 10.1016/s0022-1694(96)03020-x
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Modelling spatial patterns of throughfall and interception loss in a Norway spruce (Picea abies) plantation at the plot scale

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Cited by 70 publications
(59 citation statements)
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“…Litter fall is an important source of soil carbon for bacteria, and increased plant litter can enhance their abundance (Nottingham and others 2009). The percent tree layer cover can alter features of the soil habitat such as light gaps, air temperature, relative humidity, soil temperature, and soil moisture (Zhang and Zak 1995;Whelan and Anderson 1996). These differences in microclimate could thus alter the growth of certain microbial groups better adapted to those specific conditions.…”
Section: Nmds Analysis Based On a Horizon Soilsmentioning
confidence: 99%
“…Litter fall is an important source of soil carbon for bacteria, and increased plant litter can enhance their abundance (Nottingham and others 2009). The percent tree layer cover can alter features of the soil habitat such as light gaps, air temperature, relative humidity, soil temperature, and soil moisture (Zhang and Zak 1995;Whelan and Anderson 1996). These differences in microclimate could thus alter the growth of certain microbial groups better adapted to those specific conditions.…”
Section: Nmds Analysis Based On a Horizon Soilsmentioning
confidence: 99%
“…Throughfall, which is the Xow of precipitation water through the forest canopy, can be aVected by canopy architecture, leaf area and rainfall intensity (Lovett et al 1996;Whelan and Anderson 1996). Lichter et al (2000) found that elevated CO 2 increased throughfall volume and caused a signiWcant increase in DOC throughfall deposition, attributed to increased soluble C in foliage grown in elevated CO 2 .…”
Section: Co 2 Evects On Hg Depositionmentioning
confidence: 99%
“…Along similar lines, Wigmosta et al [119] and Davis et al [125] have used snow patterns in analyses of alpine hydrology models. Moore and Grayson [126] compared observed saturated source areas to simulations from a distributed parameter model in a small laboratory sand bed, while Whelan and Anderson [118] simulated the spatial variability of throughfall and compared it to measurements from an array of ground collectors. As noted above, recent years have seen an increase in the availability of ground-based pattern data from research catchments and from remote sensing, up to the global scale.…”
Section: Use Of Patterns With Distributed Modellingmentioning
confidence: 99%