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Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine trees

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Andre, F., Jonard, M., Ponette, Q., 2008. Influence of species and rain event characteristics on stemflow volume in a temperate mixed oak–beech stand. Hydrol. Process., 22, 4455–4466.10.1002/hyp.7048 Search in Google Scholar

ARSO, 2020. Measurements archive. http://www.meteo.si/met/sl/archive/ (Accessed 5 May 2021). Search in Google Scholar

Bezak, N., Mikoš, M., 2014. Estimation of design floods using univariate and multivariate flood frequency approach with regard to one wet year. Acta hydrotechnica, 27, 103–117. Search in Google Scholar

Brasil, J.B., de Andrade, E.M., de Queiroz Palácio, H.A., dos Santos, J.C.N., Medeiros, P.H.A., 2020. Temporal variability of throughfall as a function of the canopy development stage: from seasonal to intra-event scale. Hydrol. Sci. J., 65, 1640–1651.10.1080/02626667.2020.1769105 Search in Google Scholar

Breiman, L., 2001. Random Forests. Mach. Learn., 45, 5–32.10.1023/A:1010933404324 Search in Google Scholar

Breiman, L., Cutler, A., Liaw, A., Wiener, M., 2018. Package ‘RandomForest’. https://cran.r-project.org/web/packages/randomForest/randomForest.pdf (Accessed 25 March 2021) Search in Google Scholar

Dohnal, M., Černý, T., Votrubová, J., Tesař, M., 2014. Rainfall interception and spatial variability of throughfall in spruce stand. J. Hydrol. Hydromech., 62, 277–284.10.2478/johh-2014-0037 Search in Google Scholar

Elith, J., Leathwick, J.R., Hastie, T., 2008. A working guide to boosted regression trees. J. Anim. Ecol., 77, 802–813.10.1111/j.1365-2656.2008.01390.x18397250 Search in Google Scholar

Friedman, J.H., 2001. Greedy function approximation: a gradient boosting machine. Ann. Stat., 29, 1189–1232.10.1214/aos/1013203451 Search in Google Scholar

Friedman, J.H., Meulman, J.J., 2003. Multiple additive regression trees with application in epidemiology. Stat. Med., 22, 1365–1381.10.1002/sim.150112704603 Search in Google Scholar

Gao, S., Zhou, T., Yi, C., Shi, P., Fang, W., Liu, R., Liang, E., Camarero, J.J., 2020. Asymmetric impacts of dryness and wetness on tree growth and forest coverage. Agr. Forest. Meteorol., 288–289, 107980.10.1016/j.agrformet.2020.107980 Search in Google Scholar

Hao, Y., Wang, Y., Mei, X., Huang, X., Cui, X., Zhou, X., Niu, H., 2008. CO2, H2O and energy exchange of an Inner Mongolia steppe ecosystem during a dry and wet year. Acta Oecologica, 33, 133–143.10.1016/j.actao.2007.07.002 Search in Google Scholar

Holder, C.D., 2013. Effects of leaf hydrophobicity and water droplet retention on canopy storage capacity. Ecohydrology, 6, 483–490.10.1002/eco.1278 Search in Google Scholar

Honda, E.A., Mendonça, A.H., Durigan, G., 2014. Factors affecting the stemflow of trees in the Brazilian Cerrado. Ecohydrology, 8, 1351–1362.10.1002/eco.1587 Search in Google Scholar

Hungate, B., Hampton, H., 2012. Valuing ecosystems for climate. Nat. Clim. Change, 2, 151–152.10.1038/nclimate1398 Search in Google Scholar

Inglezakis, V.J., Poulopoulos, S.G., Arkhangelsky, E., Zorpas, A.A., Menegaki, A.N., 2016. Aquatic environment. In: Poulopoulos, S., Inglezakis, V. (Eds.): Environment and Development: Basic Principles, Human Activities, and Environmental Implications. Elsevier, pp. 137–212.10.1016/B978-0-444-62733-9.00003-4 Search in Google Scholar

Klamerus-Iwan A., Link T.E., Keim R.F., Van Stan, J.T., 2020. Storage and routing of precipitation through canopies. In: Van Stan, J T., Gutmann, E., Friesen, J. (Eds.): Precipitation Partitioning by Vegetation: A Global Synthesis. Springer Nature, Berlin, Germany, pp. 17–34.10.1007/978-3-030-29702-2_2 Search in Google Scholar

Levia, D.F., Germer, S., 2015. A review of stemflow generation dynamics and stemflow-environment interactions in forests and shrublands. Rev. Geophys., 53, 673–714.10.1002/2015RG000479 Search in Google Scholar

Leyton, L., Reynolds, E.R.C., Thompson, F.B., 1967. Rainfall interception in forest and moorland. In: Sopper, W.E., Lull, H.W. (Eds.): Forest Hydrology. Pergamon, Oxford, pp. 163–178. Search in Google Scholar

Loh, W., 2011. Classification and regression trees. Data Min. Knowl. Disc., 1, 14–23.10.1002/widm.8 Search in Google Scholar

Mużyło, A., Llorens, P., Domingo, F., 2012. Rainfall partitioning in a deciduous forest plot in leafed and leafless periods. Ecohydrology, 5, 759–767.10.1002/eco.266 Search in Google Scholar

Nadbath, M., 2008. Meteorological station Ljubljana Bežigrad. Naše okolje 15, 1. (In Slovenian.) Search in Google Scholar

Nanko, K., Hudson, S.A., Levia, D.F., 2016. Differences in throughfall drop size distributions in the presence and absence of foliage. Hydrolog. Sci. J., 61, 620–627.10.1080/02626667.2015.1052454 Search in Google Scholar

Peng, Y., Chen, L., Tian, J., Sun, B., Jiang, C., Lu, Y., Shang, J., 2021. Ecosystem services help alleviate the intensity of dryness/wetness. Global Ecol. Conser., 27, e01581.10.1016/j.gecco.2021.e01581 Search in Google Scholar

Perez-Harguindeguy, N., Diaz, S., Garnier, E. et al. 2013. New handbook for standardized measurement of plant functional traits worldwide. Aust. J. Bot., 61, 167–23410.1071/BT12225 Search in Google Scholar

R core team, 2020. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/ (Accessed 20 August 2020) Search in Google Scholar

Ridgeway, G., 2020. Generalized Boosted Regression Models. https://cran.r-project.org/web/packages/gbm/gbm.pdf (Accessed 10 August 2020) Search in Google Scholar

Sadeghi, S.M.M., Gordon, D.A., Van Stan, J.T., 2020. A global synthesis of throughfall and stemflow hydrometeorology. In: Van Stan, J T., Gutmann, E., Friesen, J. (Eds.): Precipitation Partitioning by Vegetation: A Global Synthesis. Springer Nature, Berlin, Germany, pp. 49–70.10.1007/978-3-030-29702-2_4 Search in Google Scholar

Schooling, J.T., Carlyle-Moses, D.E., 2015. The influence of rainfall depth class and deciduous tree traits on stemflow production in an urban park. Urban Ecosyst., 18, 1261–1284.10.1007/s11252-015-0441-0 Search in Google Scholar

Siegert, C.M., Levia, D.F., 2014. Seasonal and meteorological effects on differential stemflow funneling ratios for two deciduous tree species. J. Hydrol., 519, 446–454.10.1016/j.jhydrol.2014.07.038 Search in Google Scholar

Staelens, J., De Schrijver, A., Verheyen, K., Verhoest, N.E.C., 2008. Rainfall partitioning into throughfall, stemflow, and interception within a single beech (Fagus sylvatica L.) canopy: influence of foliation, rain event characteristics, and meteorology. Hydrol. Process., 22, 33–45.10.1002/hyp.6610 Search in Google Scholar

Su, L., Xie, Z., Xu, W., Zhao, C., 2019. Variability of through-fall quantity in a mixed evergreen-deciduous broadleaved forest in central China. J. Hydrol. Hydromech., 67, 225–231.10.2478/johh-2019-0008 Search in Google Scholar

Šraj, M., Brilly, M., Mikoš, M., 2008. Rainfall interception by two deciduous Mediterranean forests of contrasting stature in Slovenia. Agr. Forest. Meteorol., 148, 121–134.10.1016/j.agrformet.2007.09.007 Search in Google Scholar

Xiao, Q., McPherson, E.G., Ustin, S.L., Grismer, M.E., Simpson, J.R., 2000. Winter rainfall interception by two mature open-grown trees in Davis, California. Hydrol. Process., 14, 763–784.10.1002/(SICI)1099-1085(200003)14:4<763::AID-HYP971>3.0.CO;2-7 Search in Google Scholar

Xu, Z., Feng, Z., Zhao, C., Zheng, J., Yang, J., Tian, F., Peng, H., Wang, C., Peng, S., Sher, H., 2013. The canopy rainfall interception in actual and potential distribution of Qinghai spruce (Picea crassifolia) forest. J. Hydrol. Hydromech., 61, 64–72.10.2478/johh-2013-0008 Search in Google Scholar

Xu, L., Cao, G., Wang, Y., Hao, J., Wang, Y., Yu, P., Liu, Z., Xiong, W., Wang, X., 2020. Components of stand water balance of a larch plantation after thinning during the extremely wet and dry years in the Loess Plateau, China. Global Eco. Conser., 24, e01307.10.1016/j.gecco.2020.e01307 Search in Google Scholar

Yue, K., De Frenne, P., Fornara, D.A., Van Meerbeek, K., Li, W., Peng, X., Ni, X., Peng, Y., Wu, F., Yang, Y., Peñuelas, J., 2021. Global patterns and drivers of rainfall partitioning by trees and shrubs. Glob. Change. Biol., 27, 3350–3357.10.1111/gcb.15644 Search in Google Scholar

Zabret, K., 2013. The influence of tree characteristics on rainfall interception. Acta Hydrotech., 26, 99–116. (In Slovenian.) Search in Google Scholar

Zabret, K., Rakovec, J., Mikoš, M., Šraj, M., 2017. Influence of raindrop size distribution on throughfall dynamics under pine and birch trees at the rainfall event level. Atmosphere, 8, 240.10.3390/atmos8120240 Search in Google Scholar

Zabret, K., Rakovec, J., Šraj, M., 2018. Influence of meteorological variables on rainfall partitioning for deciduous and coniferous tree species in urban area. J. Hydrol., 558, 29–41.10.1016/j.jhydrol.2018.01.025 Search in Google Scholar

Zabret, K., Šraj, M., 2019a. Evaluating the influence of rain event characteristics on rainfall interception by urban trees using multiple correspondence analysis. Water, 11, 2659.10.3390/w11122659 Search in Google Scholar

Zabret, K., Šraj, M., 2019b. Rainfall interception by urban trees and their impact on potential surface runoff. Clean Soil, Air, Water, 47, 8, 1800327.10.1002/clen.201800327 Search in Google Scholar

Zabret, K., Šraj, M., 2021. How characteristics of a rainfall event and the meteorological conditions determine the development of stemflow: A case study of a birch tree. Front. Front. For. Glob. Change, 4, 663100.10.3389/ffgc.2021.663100 Search in Google Scholar

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