Intrastorm scale rainfall interception dynamics in a mature coniferous forest stand

Iida, S.; Levia, Delphis F.; Shimizu, Akira; Shimizu, Takanori; Tamai, Koji; Nobuhiro, Tatsuhiko; Kabeya, Naoki; Noguchi, Shoji; Sawano, Shinji; Araki, Makoto

doi:10.1016/j.jhydrol.2017.03.009

Cited by 64 publications

(42 citation statements)

References 41 publications

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“…In some cases comparisons have been limited to monitoring the water balance components of two (or more) stands of different ages concurrently (i.e. Pypker et al, 2005;Keim et al, 2005).…”

Section: Cisnerosmentioning

confidence: 99%

The influence of long-term changes in canopy structure on rainfall interception loss: a case study in Speulderbos, the Netherlands

Vaca

Tol

Ghimire

2018

Hydrol. Earth Syst. Sci.

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Abstract. The evaporation of intercepted water by forests is a significant contributor to both the water and energy budget of the Earth. In many studies, a discrepancy in the water and energy budget is found: the energy that is needed for evaporation is larger than the available energy supplied by net radiation. In this study, we analyse the water and energy budget of a mature Douglas fir stand in the Netherlands, for the two growing seasons of 2015 and 2016. Based on the wet-canopy water balance equation for these two growing seasons, derived interception losses were estimated to be 37 and 39 % of gross rainfall, respectively. We further scrutinized eddy-covariance energy balance data from these two consecutive growing seasons and found the average evaporation rate during wet-canopy conditions was 0.20 mm h−1. The source of energy for this wet-canopy evaporation was net radiation (35 %), a negative sensible heat flux (45 %), and a negative energy storage change (15 %). This confirms that the energy for wet-canopy evaporation is extracted from the atmosphere as well as the biomass. Moreover, the measured interception loss at the forest was similar to that measured at the same site years before (I = 38 %), when the forest was younger (29 years old, vs. 55 years old in 2015). At that time, the forest was denser and had a higher canopy storage capacity (2.4 mm then vs. 1.90 mm in 2015), but the aerodynamic conductance was lower (0.065 m s−1 then vs. 0.105 m s−1 in 2015), and therefore past evaporation rates were lower than evaporation rates found in the present study (0.077 mm h−1 vs. 0.20 mm h−1 in 2015). Our findings emphasize the importance of quantifying downward sensible heat flux and heat release from canopy biomass in tall forest in order to improve the quantification of evaporative fluxes in wet canopies.

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“…In some cases comparisons have been limited to monitoring the water balance components of two (or more) stands of different ages concurrently (i.e. Pypker et al, 2005;Keim et al, 2005).…”

Section: Cisnerosmentioning

confidence: 99%

The influence of long-term changes in canopy structure on rainfall interception loss: a case study in Speulderbos, the Netherlands

Vaca

Tol

Ghimire

2018

Hydrol. Earth Syst. Sci.

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“…Rainfall amount, duration and intensity are often recognised as the most influential meteorological variables since they decrease rainfall interception [4,[14][15][16][17]. However, throughfall and stemflow, both of which also decrease rainfall interception, continue after the end of the rainfall event [13,18]. In this extended period, the evapotranspiration, highly influenced by air humidity and air temperature, plays a significant role in the rainfall partitioning process [4,15,19].…”

Section: Introductionmentioning

confidence: 99%

Application of Copula Functions for Rainfall Interception Modelling

Bezak

Zabret

Šraj

2018

Water

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Rainfall interception is an important process of the water cycle that can have significant influence on surface runoff and groundwater storage. Since rainfall interception measurements are rare and time consuming, rainfall interception estimation can be made indirectly using different meteorological variables. Experimental data of rainfall interception for birch and pine trees was measured at an experimental plot located in an urban area of Ljubljana, Slovenia in this study. A copula model was applied to predict the rainfall interception using meteorological variables, namely air temperature and vapour pressure deficit data. The copula model performance was compared to some other models such as decision trees, multiple linear regressions, and exponential functions. Using random sampling, we found that the copula model where Khoudraji-Liebscher copula functions were used yielded slightly smaller root mean square error (RMSE) and mean absolute error (MAE) values than other tested methods (i.e., RMSE and MAE results for birch trees were 24.2% and 18.2%, respectively and RMSE and MAE results for pine trees were 25.0% and 19.6%, respectively). The results demonstrate that the copula-based proposed method and other tested models could be used for the prediction of rainfall interception at the considered plot and in the wider surroundings. Furthermore, these models could also be applied for the prediction of rainfall interception for these two tree species in other locations under similar vegetation and meteorological conditions.

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“…In order to more fully understand wetting and evaporative processes associated with canopy interception loss, precisely calibrated high‐temporal resolution measurements of canopy partitioning of rainfall into interception loss and canopy drainage in the form of throughfall and stemflow are required (e.g., Iida et al, 2017; Iida, Shimizu, Shinohara, Takeuchi, & Kumagai, 2020). Sensor technologies, as discussed above, offer great promise in propelling our understanding of interception loss and understory precipitation dynamics.…”

Section: Advancing Understanding and Representation Of Ecohydrologicamentioning

confidence: 99%

Advancing ecohydrology in the 21st century: A convergence of opportunities

et al. 2020

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Nature-based solutions for water-resource challenges require advances in the science of ecohydrology. Current understanding is limited by a shortage of observations and theories that can further our capability to synthesize complex processes across scales ranging from submillimetres to tens of kilometres. Recent developments in environmental sensing, data, and modelling have the potential to drive rapid improvements in ecohydrological understanding. After briefly reviewing advances in sensor technologies, this paper highlights how improved measurements and modelling can be applied to enhance understanding of the following ecohydrological examples: interception and canopy processes, root uptake and critical zone processes, and up-scaled effects of land use on streamflow. Novel and improved sensors will enable new questions and experiments, while machine learning and empirical methods provide additional opportunities to advance science. The synergy resulting from the convergence of these parallel developments will provide new insight into ecohydrological processes and thereby help identify nature-based solutions to address water-resource challenges in the 21st century.

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Intrastorm scale rainfall interception dynamics in a mature coniferous forest stand

Cited by 64 publications

References 41 publications

The influence of long-term changes in canopy structure on rainfall interception loss: a case study in Speulderbos, the Netherlands

The influence of long-term changes in canopy structure on rainfall interception loss: a case study in Speulderbos, the Netherlands

Application of Copula Functions for Rainfall Interception Modelling

Advancing ecohydrology in the 21st century: A convergence of opportunities

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