Have a personal or library account? Click to login
Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine trees Cover

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

By: Katarina Zabret and  Mojca Šraj  
Open Access
|Nov 2021

References

  1. 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
  2. ARSO, 2020. Measurements archive. http://www.meteo.si/met/sl/archive/ (Accessed 5 May 2021).
  3. 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.
  4. 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
  5. Breiman, L., 2001. Random Forests. Mach. Learn., 45, 5–32.10.1023/A:1010933404324
  6. 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)
  7. 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
  8. 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
  9. Friedman, J.H., 2001. Greedy function approximation: a gradient boosting machine. Ann. Stat., 29, 1189–1232.10.1214/aos/1013203451
  10. Friedman, J.H., Meulman, J.J., 2003. Multiple additive regression trees with application in epidemiology. Stat. Med., 22, 1365–1381.10.1002/sim.150112704603
  11. 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
  12. 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
  13. Holder, C.D., 2013. Effects of leaf hydrophobicity and water droplet retention on canopy storage capacity. Ecohydrology, 6, 483–490.10.1002/eco.1278
  14. 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
  15. Hungate, B., Hampton, H., 2012. Valuing ecosystems for climate. Nat. Clim. Change, 2, 151–152.10.1038/nclimate1398
  16. 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
  17. 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
  18. 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
  19. 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.
  20. Loh, W., 2011. Classification and regression trees. Data Min. Knowl. Disc., 1, 14–23.10.1002/widm.8
  21. 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
  22. Nadbath, M., 2008. Meteorological station Ljubljana Bežigrad. Naše okolje 15, 1. (In Slovenian.)
  23. 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
  24. 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
  25. 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
  26. 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)
  27. Ridgeway, G., 2020. Generalized Boosted Regression Models. https://cran.r-project.org/web/packages/gbm/gbm.pdf (Accessed 10 August 2020)
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. Zabret, K., 2013. The influence of tree characteristics on rainfall interception. Acta Hydrotech., 26, 99–116. (In Slovenian.)
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
DOI: https://doi.org/10.2478/johh-2021-0023 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
Language: English
Page range: 456 - 466
Submitted on: May 28, 2021
Accepted on: Aug 5, 2021
Published on: Nov 15, 2021
Published by: Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Katarina Zabret, Mojca Šraj, published by Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.