Spatial and Temporal Variability of Throughfall under a Natural Fagus orientalis Stand in the Hyrcanian Forests, North of Iran

Document Type : Original Research

Authors
A. Dezhban 1
P. Attarod 1
G. Zahedi Amiri 1
T. G. Pypker 2
K. Nanko 3
1 Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Islamic Republic of Iran.
2 Department of Natural Resource Sciences, Thompson Rivers University, British Colombia, Canada.
3 Department of Disaster Prevention, Meteorology and Hydrology, Forestry and Forest Products Research Institute, Japan.
Abstract
The spatial and temporal heterogeneity of throughfall (TF) have important ecological impacts in forest ecosystems. The aim of this study was to quantify spatio-temporal variability of TF and to evaluate the effects of canopy traits and gross rainfall (GR) characteristics on TF at the event scale. Event-based measurements were carried out from September 2015 to October 2017 during the leafed-out period in a natural uneven-aged beech (Fagus orientalis L.) stand located in the Hyrcanian forest of Iran. Leaf area index (LAI) and canopy openness of the stand were 6 m2 m-2 and 6.2%, respectively. Tree density in the studied plot was 188 tree ha-1 and the basal area (BA) was 51 m2 ha-1. During the measurement period, 25 rainfall events occurred (total rainfall= 784.8 mm). We observed variability of TF under the beech trees canopy in different GR classes (< 15, 15-30, 30-50 and > 50 mm). Increases in rainfall depth and intensity were associated with an increase in TF depth and decrease in TF variability. We found that rainfall depth along with the intensity were the most influential factors on the TF depth, spatial variability as well as time stability. Knowledge of the spatial persistence and variability of TF would help managers to optimize the management of these stands in terms of soil water and nutrition availability.

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Akbarzadeh, A., Ghorbani-Dashtaki, S., Naderi-Khorasgani, M., Kerry, R., Taghizadeh-Mehrjardi, R. 2016. Monitoring and assessment of soil erosion at micro-scale and macro-scale in forests affected by fire damage in northern Iran. Environ Monit Assess., 188 (12): 699.- doi: 10.1007/s10661-016-5712-6.
Alvankar, S.R., Nazari, F., Fattahi, A. 2017. The effect of climate chang on intensity and Drought return period in Iran. Journal of spatial analysis of environmental hazards., 2: 99-120.
André, F., Jonard, M., Jonard, F., Ponette, Q. 2011. Spatial and temporal patterns of throughfall volume in a deciduous mixed-species stand. J Hydrol., 400 (1-2): 244-254. doi:10.1016/j.jhydrol.2011.01.037.
Beier, C., Hansen, K., Gundersen, P. 1993. Spatial variability of throughfall fluxes in a spruce forest. Environ Pollut., 81 (3): 257-267.- doi.org/10.1016/0269-7491(93)90208-6.
Carlyle-Moses, D., Laureano, J.F., Price, A. 2004. Throughfall and throughfall spatial variability in Madrean oak forest communities of northeastern Mexico. J Hydrol., 297 (1): 124-135.- doi:10.1016/S0140-1963(03)00125-3.
Dunkerley, D. 2000. Measuring interception loss and canopy storage in dryland vegetation: a brief review and evaluation of available research strategies. Hydrol Processes., 14 (4): 669-678.-doi.org/10.1002/(SICI)1099-1085(200003)14:4<669::AID.
Fan, J., Oestergaard, K.T., Guyot, A., Jensen, D.G., Lockington, D.A. 2015. Spatial variability of throughfall and stemflow in an exotic pine plantation of subtropical coastal Australia. Hydrol Processes., 29 (5): 793-804.- doi: 10.1002/hyp.10193.
Fathizadeh, O., Attarod, P., Keim, R.F., Stein, A., Amiri, G.Z., Darvishsefat, A.A. 2014. Spatial heterogeneity and temporal stability of throughfall under individual Quercus brantii trees. Hydrol Processes., 28 (3): 1124-1136.- doi: 10.1002/hyp.9638
Ford, E., Deans, J. 1978. The effects of canopy structure on stemflow, throughfall and interception loss in a young Sitka spruce plantation. J Appl Ecol., 905-917.- doi: 10.2307/2402786.
Frazer, G.W., Canham, C., Lertzman, K. 1999. Gap Light Analyzer (GLA), Version 2.0: Imaging software to extract canopy structure and gap light transmission indices from true-colour fisheye photographs, users manual and program documentation. Simon Fraser University, Burnaby, British Columbia, and the Institute of Ecosystem Studies, Millbrook, New York., 36.
Garstecki, T. 2017. Scoping and Feasibility Study: Feasibility assessment for a World Heritage nomination of the Colchic Forests and Wetlands under the natural criteria. Michael Succow Foundation for the Protection of Nature.
Gash, J.H.C. 1979. Analytical model of rainfall interception by forests. Quarterly Journal of the Royal Meteorological Society., 105 (443): 43–55.doi.org/10.1002/qj.49710544304.
Gómez, J., Vanderlinden, K., Giráldez, J., Fereres, E. 2002. Rainfall concentration under olive trees. Agric For Meteorol., 55 (1): 53-70.- doi.org/10.1016/S0378-3774(01)00181-0.
He, Z-B., Yang, J-J., Du, J., Zhao, W-Z., Liu, H., Chang, X-X. 2014. Spatial variability of canopy interception in a spruce forest of the semiarid mountain regions of China. Agric For Meteorol., 188: 58-63.- doi.org/10.1016/j.agrformet.2013.12.008.
Henderson, G., Harris, W., Todd Jr.D., Grizzard, T. 1977. Quantity and chemistry of throughfall as influenced by forest-type and season. J Ecol., 365-374.- DOI: 10.2307/2259488.
Holwerda, F., Scatena, F., Bruijnzeel, L. 2006. Throughfall in a Puerto Rican lower montane rain forest: a comparison of sampling strategies. J Hydrol., 327 (3): 592-602.- doi:10.1016/j.jhydrol.2005.12.014.
Houghton, R.A., Skole, D.L. 1990. Carbon. In: Turner BL II et al (eds) The earth as transformed by human action. Cambridge University Press, Cambridge, pp 393–408.- ISBN 0521 80767 0 hardback.
Huitao, S., Xiaoxue, W., Yue, J., Wenhui, Y. 2012. Spatial variations of throughfall through secondary succession of evergreen broad‐leaved forests in eastern China. Hydrol Processes., 26 (11): 1739-1747.- doi: 10.1002/hyp.8251.
Huntington, T.G. 2006. Evidence for intensification of the global water cycle: review and synthesis. J Hydrol., 319 (1):83-95.- doi:10.1016/j.jhydrol.2005.07.003.
Johnson, M.S., Lehmann, J. 2006. Double-funneling of trees: Stemflow and root-induced preferential flow. Ecoscience., 13 (3): 324-333.- doi.org/10.2980/i1195-6860-13-3-324.1.
Keim, R.F., Skaugset, A.E., Weiler, M. 2005. Temporal persistence of spatial patterns in throughfall. J Hydrol., 314 (1): 263-274.- doi:10.1016/j.jhydrol.2005.03.021.
Kimmins, J. 1973. Some statistical aspects of sampling throughfall precipitation in nutrient cycling studies in British Columbian coastal forests. Ecology., 54 (5):1008-1019.- doi.org/10.2307/1935567.
Klos, P.Z., Chain-Guadarrama, A., Link, T.E., Finegan, B., Vierling, L.A., Chazdon, R. 2014. Throughfall heterogeneity in tropical forested landscapes as a focal mechanism for deep percolation. J Hydrol., 519: 2180-2188.- doi.org/10.1016/j.jhydrol.2014.10.004.
Konishi, S., Tani, M., Kosugi, Y., Takanashi, S., Sahat, M.M., Nik, A.R., Niiyama, K., Okuda, T. 2006. Characteristics of spatial distribution of throughfall in a lowland tropical rainforest, Peninsular Malaysia. For Ecol Manage., 224 (1): 19-25.- doi:10.1016/j.foreco.2005.12.005.
Kowalska, A., Boczoń, A., Hildebrand, R., Polkowska, Ż. 2016. Spatial variability of throughfall in a stand of Scots pine (Pinus sylvestris L.) with deciduous admixture as influenced by canopy cover and stem distance. J Hydrol., 538: 231-242.-doi.org/10.1016/j.jhydrol.2016.04.023
Levia, D.F., Frost, E.E. 2003. A review and evaluation of stemflow literature in the hydrologic and biogeochemical cycles of forested and agricultural ecosystems. J Hydrol., 274 (1): 1-29.- doi.org/10.1016/S0022-1694(02)00399-2.
Levia, D.F., Hudson, S.A., Llorens, P., Nanko, K. 2017. Throughfall drop size distributions: a review and prospectus for future research. Wiley Interdisciplinary Reviews: Water.- doi.org/10.1002/wat2.1225.
Levia, D.F., Frost, E.E. 2006. Variability of throughfall volume and solute inputs in wooded ecosystems. Progress in Physical Geography., 30 (5): 605-632.
Lilienfein, J., Wilcke, W. 2004. Water and element input into native, agri-and silvicultural ecosystems of the Brazilian savanna. Biogeochemistry., 67 (2): 183-212.
Liu, Z., Chen, J.M., Jin, G., Qi, Y. 2015. Estimating seasonal variations of leaf area index using litterfall collection and optical methods in four mixed evergreen–deciduous forests. Agric For Meteorol., 209: 36-48.- doi.org/10.1016/j.agrformet.2015.04.025.
Llorens, P., Gallart, F. 2000. A simplified method for forest water storage capacity measurement. J Hydrol., 240 (1): 131-144.- doi.org/10.1016/S0022-1694(00)00339-5.
Loescher, H.W., Powers, J.S., Oberbauer, S.F. 2002. Spatial variation of throughfall volume in an old-growth tropical wet forest, Costa Rica. J Tropic Ecol., 18 (3): 397-407.-doi.org/10.1017/S0266467402002274
Loustau, D., Berbigier, P., Granier, A., Moussa, F.E.H. 1992. Interception loss, throughfall and stemflow in a maritime pine stand. I. Variability of throughfall and stemflow beneath the pine canopy. J Hydrol., 138 (3-4): 449-467.- doi.org/10.1016/0022-1694(92)90130-N.
Macinnis-Ng, C.M., Flores, E.E., Müller, H., Schwendenmann, L. 2012. Rainfall partitioning into throughfall and stemflow and associated nutrient fluxes: land use impacts in a lower montane tropical region of Panama. Biogeochemistry., 111 (1-3): 661-676.
Manderscheid, B., Matzner, E. 1995. Spatial and temporal variation of soil solution chemistry and ion fluxes through the soil in a mature Norway spruce (Picea abies (L.) Karst.) stand. Biogeochemistry., 30 (2): 99-114.
Morris, D.M., Gordon, A.G., Gordon, A.M. 2003. Patterns of canopy interception and throughfall along a topographic sequence for black spruce dominated forest ecosystems in northwestern Ontario. Can J For Res., 33 (6):1046-1060.- doi.org/10.1139/x03-027.
Muzylo, A., Llorens, P., Valente, F., Keizer, J., Domingo, F., Gash, J. 2009. A review of rainfall interception modelling. J Hydrol., 370 (1):191-206. doi.org/10.1016/j.jhydrol.2009.02.
Nanko, K., Onda, Y., Ito A., Moriwaki, H. 2011. Spatial variability of throughfall under a single tree: experimental study of rainfall amount, raindrops, and kinetic energy. Agric For Meteorol., 151 (9):1173-1182.- doi:10.1016/j.agrformet.2011.04.006.
Oladi, R., Elzami, E., Pourtahmasi, K., Brauning, A. 2017. Weather factors controlling growth of Oriental beech are on the turn over the growing season. Eur J Forest Res., 136: 345–356.- doi: 10.1007/s10342-017-1036-5.
Pypker, T.G., Levia, D.F., Staelens, J., Van Stan, II. JT. 2011. Canopy structure in relation to hydrological and biogeochemical fluxes. In: For Hydrol Biogeochemist. Springer, pp 371-388.
Raat, K., Draaijers, G., Schaap M., Tietema, A., Verstraten, J. 2002. Spatial variability of throughfall water and chemistry and forest floor water content in a Douglas fir forest stand. Hydrol Earth Syst Sci Dis., 6 (3):363-374.
Robson, A., Neal, C., Ryland G., Harrow, M. 1994. Spatial variations in throughfall chemistry at the small plot scale. J Hydrol., 158 (1-2):107-122.- doi.org/10.1016/0022-1694(94)90048-5.
Sagheb-Talebi, K.H., Sajedi, T., Pourhashemi, M. 2014. Forests of Iran. A Treasure from the Past, a Hope for the Future. Plant and vegetation. Voloume 10, Springer Dordrecht Heidelberg New York London. ISBN 978-94-007-7371-4 (eBook).
Seiler, J., Matzner, E. 1995. Spatial variability of throughfall chemistry and selected soil properties as influenced by stem distance in a mature Norway spruce (Picea-abies, Karst) stand. Plant Soil., 176: 139–147.
Staelens, J., De Schrijver, A., Verheyen, K., Verhoest, N.E. 2006. Spatial variability and temporal stability of throughfall deposition under beech (Fagus sylvatica L.) in relationship to canopy structure. Environmental Pollution., 142 (2):254-263.- doi:10.1016/j.envpol.2005.10.002.
Vachaud, G., Passerat de Silans, A., Balabanis, P., Vauclin, M. 1985. Temporal stability of spatially measured soil water probability density function. Soil Sci Soc Am J., 49 (4):822-828.- doi:10.2136/sssaj1985.03615995004900040006x.
Vrugt, J.A., Dekker, S.C., Bouten, W. 2003. Identification of rainfall interception model parameters from measurements of throughfall and forest canopy storage. Water Resour Res., 39 (9):1-10.- doi.org/10.1029/2003WR002013.
Zhang, Y.F., Wang, X.P., Hu R, Pan, Y.X. 2016. Throughfall and its spatial variability beneath xerophytic shrub canopies within water-limited arid desert ecosystems. J Hydrol., 539:
406–416.- doi.org/10.1016/j.jhydrol.2016.05.051.
Zhan, W., Zhang, Z., Wu, J., Xiao, J. 2007. Spatial variability of throughfall in a Chinese pine (Pinus tabulaeformis) plantation in northern China. Frontiers of Forestry in China., 2 (2):169-173.- doi: 10.1007/s11461-007-0027-y
Zimmermann, A., Germer, S., Neill, C., Krusche, A.V., Elsenbeer, H. 2008. Spatio-temporal patterns of throughfall and solute deposition in an open tropical rain forest. J Hydrol., 360 (1):87-102.- doi:10.1016/j.jhydrol.2008.07.028.
Zimmermann, A., Wilcke, W., Elsenbeer, H. 2007. Spatial and temporal patterns of throughfall quantity and quality in a tropical montane forest in Ecuador. J Hydrol., 343 (1):80-96.- doi:10.1016/j.jhydrol.2007.06.012.
Zimmermann, A., Zimmermann, B. 2014. Requirements for throughfall monitoring: the roles of temporal scale and canopy complexity. Agric For Meteorol., 189:125-139.- doi: org/10.1016/j.agrformet.2014.01.014.
Zirlewagen, D., von Wilpert, K. 2001. Modeling water and ion fluxes in a highly structured, mixed-species stand. For Ecol Manage., 143 (1):27-37.- doi:org/10.1016/S0378-1127(00)00522-3.
Journal of Agricultural Science and Technology
Volume 21, Issue 7
November and December 2019
Pages 1843-1858