Canopy Rainfall Interception and Fog Capture by <i>Pinus pumila</i> Regal at Mt. Tateyama in the Northern Japan Alps, Japan

Uehara, Yoshitoshi; Kume, Atsushi

doi:10.1657/1938-4246-44.1.143

Cited by 17 publications

(10 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Little work has been done to understand changes in the stable isotopic compositions of snow that is intercepted by the canopy (Allen, Keim, Barnard, McDonnell, & Renée, 2016;Claassen & Downey, 1995;Koeniger et al, 2008) or the subsequent transport to the ground via TF and STF. However, a number of studies have tried to model changes in TF on isotopic compositions by intercepted rain (Dewalle & Swistock, 1994;Gat & Tzur, 1967;Pearce, Stewart, & Sklash, 1986;Saxena, 1986;Uehara & Kume, 2012). A recent review by Allen et al (2016) summarized rainfall interception processes and their effect on the stable isotopic composition of intercepted rain.…”

Section: Interception and Throughfallmentioning

confidence: 99%

Understanding snow hydrological processes through the lens of stable water isotopes

et al. 2018

View full text Add to dashboard Cite

Snowfall may have different stable isotopic compositions compared with rainfall, allowing its contribution to potentially be tracked through the hydrological cycle. This review summarizes the state of knowledge of how different hydrometeorological processes affect the isotopic composition of snow in its different forms (snowfall, snowpack, and snowmelt), and, through selected examples, discusses how stable water isotopes can provide a better understanding of snow hydrological processes. A detailed account is given of how the variability in isotopic composition of snow changes from precipitation to final melting. The effect of different snow ablation processes (sublimation, melting, and redistribution by wind or avalanches) on the isotope ratios of the underlying snowpack are also examined. Insights into the role of canopy in snow interception processes, and how the isotopic composition in canopy underlying snowpacks can elucidate the exchanges therein are discussed, as well as case studies demonstrating the usefulness of stable water isotopes to estimate seasonality in the groundwater recharge. Rain-on-snow floods illustrate how isotopes can be useful to estimate the role of preferential flow during heavy spring rains. All these examples point to the complexity of snow hydrologic processes and demonstrate that an isotopic approach is useful to quantify snow contributions throughout the water cycle, especially in high-elevation and highlatitude catchments, where such processes are most pronounced. This synthesis concludes by tracing a snow particle along its entire hydrologic life cycle, highlights the major practical challenges remaining in snow hydrology and discusses future research directions.

show abstract

Section: Interception and Throughfallmentioning

confidence: 99%

Understanding snow hydrological processes through the lens of stable water isotopes

et al. 2018

View full text Add to dashboard Cite

show abstract

“…et al, 2009). Other examples include estimating the proportional contribution of rainfall and snowmelt to groundwater recharge (Beria et al, 2018;Earman et al, 2006;Jasechko et al, 2014Jasechko et al, , 2017Jasechko and Taylor, 2015;Jeelani et al, 2010;Kohfahl et al, 2008;O'Driscoll et al, 2005;Rose, 2003;Winograd et al, 1998), fog to the amount of throughfall (Scholl et al, 2011(Scholl et al, , 2002Uehara and Kume, 2012), and soil moisture (at varying depths) and groundwater to vegetation water use (Dawson and Ehleringer, 1991;Ehleringer and Dawson, 1992;Evaristo et al, 2016Rothfuss and Javaux, 2017;Vargas et al, 2017;Zhao et al, 2016). The primary goal of such attribution in hydrology is to infer the contribution of different sources to a target water body, where the tracer can be an observable compound like a dye, or a conservative solute, or even a proxy for chemical composition such as electrical conductivity.…”

Section: Introductionmentioning

confidence: 99%

HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources

Beria¹,

Larsen²,

Michelon³

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. Tracers have been used for over half a century in hydrology to quantify water sources with the help of mixing models. In this paper, we build on classic Bayesian methods to quantify uncertainty in mixing ratios. Such methods infer the probability density function (pdf) of the mixing ratios by formulating pdfs for the source and target concentrations and inferring the underlying mixing ratios via Monte Carlo sampling. However, collected hydrological samples are rarely abundant enough to robustly fit a pdf to the sources. Our approach, called HydroMix, solves the linear mixing problem in a Bayesian inference framework where the likelihood is formulated for the error between observed and modelled target variables, which corresponds to the parameter inference set-up commonly used in hydrological models. To address small sample sizes, every combination of source samples is mixed with every target tracer concentration. Using a series of synthetic case studies, we evaluate the performance of HydroMix. We then use HydroMix to show that snowmelt accounts for 60–62 % of groundwater recharge in a Swiss Alpine catchment (Vallon de Nant), despite snowfall only accounting for 40–45 % of the annual precipitation. Using this example, we then demonstrate the flexibility of this approach to account for uncertainties in source characterization due to different hydrological processes. We also address an important bias in mixing models that arises when there is a large divergence between the number of collected source samples and their flux magnitudes. HydroMix can account for this bias by using composite likelihood functions that effectively weights the relative magnitude of source fluxes. The primary application target of this framework is hydrology, but it is by no means limited to this field.

show abstract

“…Many studies on the importance of cloud water interception have been carried out in tropical montane cloud forests in humid uplands (Cavelier and Goldstein, 1989;Holder, 2004;Hölscher et al, 2004;Rollenbeck et al, 2010;Bruijnzeel et al, 2011;Schmid et al, 2011) or on certain isolated peaks in the tropical and subtropical trade-wind belts (Ekern, 1964;Holwerda et al, 2006;Scholl et al, 2007;Ritter et al, 2008;García-Santos and Bruijnzeel, 2011;Prada et al, 2012;Pryet et al, 2012;Figueira et al, 2013). This phenomenon has stimulated studies also in extra-tropical mountains (Marloth, 1906;Rubner, 1931;Schemenauer et al, 1995;Dawson, 1998;Baumgardner et al, 2003;Uehara and Kume, 2012). However, there is a lack of studies that measure cloud water interception, gross precipitation and throughfall in forest ecosystems along extended elevational gradients in mountains.…”

Section: Introductionmentioning

confidence: 99%

Cloud water interception and element deposition differ largely between Norway spruce stands along an elevation transect in Harz Mountains, Germany

et al. 2014

View full text Add to dashboard Cite

Cloud deposition can contribute a significant amount of water and elements to montane forests and thus play an important role in the hydrological and biochemical cycles of these ecosystems. However, elevational pattern in cloud and throughfall input to forest ecosystems and the associated chemical element fluxes are poorly understood so far. We studied gross precipitation, throughfall and cloud water deposition, and the associated fluxes of elements (N, P, Ca, K, Mg and Na) in five mature stands of Norway spruce along an elevation transect from lowlands to the alpine treeline (420-1060 m) at Mt Brocken (Harz Mountains, Germany). We tested the hypotheses that water input increases with elevation despite a reduction in intercepting plant surfaces, leading to higher inputs of nitrogen and other elements to high-elevation forests than in lower-elevation stands. Gross precipitation (only snow-free period) rose by 75% towards the treeline, but water input with throughfall increased by 350% because of a large increase in cloud water deposition (from 2 mm at 420 m to 160-200 mm at 1000 m in the study period). Element fluxes with gross precipitation were not uniformly related to elevation across all six elements. However, element fluxes via throughfall showed a positive correlation with elevation for all elements. Thus, the upper montane spruce forests received 50-150% higher atmospheric inputs of base cations and inorganic N and~200% higher P inputs than lower-elevation forests. We conclude that elevation does have a large influence on the atmospheric water and element inputs in temperate mountain forests. N ti = total inorganic nitrogen. Significant correlations (p < 0·05) are indicated by bold numbers. N = 5 for every element. Italic numbers indicate simple non-linear regressions; all other regressions are linear.

show abstract

Canopy Rainfall Interception and Fog Capture by Pinus pumila Regal at Mt. Tateyama in the Northern Japan Alps, Japan

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 17 publications

References 29 publications

Understanding snow hydrological processes through the lens of stable water isotopes

Understanding snow hydrological processes through the lens of stable water isotopes

HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources

Cloud water interception and element deposition differ largely between Norway spruce stands along an elevation transect in Harz Mountains, Germany

Contact Info

Product

Resources

About