Keywords
Samanea saman
leaf area index
canopy openness
internal rainfall
How to Cite
##article.highlights##
- Precipitation partitioning of Schizolobium parahyba and Samanea saman was studied
- The effective rainfall in the two species was higher in dry periods
- S. parahyba, as a smooth-barked species, had more stemflow compared to S. saman
- The higher leaf area index and rougher bark of S. saman caused less interception
- Canopy openness was correlated with precipitation variables, whereas leaf area index was not
Abstract
Introduction: Understanding the hydrological balance and canopy structure in forest ecology and reforestation can predict the productivity of plantations.
Objectives: To monitor an incident rainfall partitioning in a plantation of Schizolobium parahyba (Vell.) S. F. Blake and Samanea saman (Jacq.) Merr. and its relationship with canopy openness and leaf area index.
Materials and methods: Incident rainfall partitioning was monitored for one year in a plantation of S. parahyba (4.4-5.4 years) and S. saman (5.8-6.8 years) in Rionegro, Santander, Colombia. Each plantation had linear rain gauges installed under the canopy and around the stem of the trees selected.
Results and discussion: Throughfall (Tf), canopy interception losses (I) and stemflow (Sf) in the 12 months corresponded to 77.5, 22.3 and 0.44 %, respectively, in relation to open precipitation for S. parahyba (2 270 mm) and to 84.7, 15.3 and 0.05 %, respectively, for S. saman (2 140 mm). For both species, Ip and effective precipitation were higher (P < 0.05) in the two dry periods of the year, while I and Sf were higher in the two rainy periods. Canopy openness was correlated only with I and Tf in S. saman, while leaf area index was not correlated with any variable.
Conclusion: Rainfall partitioning points out different paths in the same studied environment. It is important to analyze the hydrological processes in reforestation environments by taking into account the morphology of the species involved.
References
Allen, S., Aubrey, D., Bader, M., Coenders-Gerrits, M., Friesen, J., Gutmann, E., Guillemette, F., Jiménez-Rodríguez, C., Keim, R. F., Klamerus-Iwan, A., Mendieta-Leiva, G., Porada, P., Qualls, R. G., Schilperoort, R., Stubbins, A., & Van Stan II, J. T. (2020). Key questions on the evaporation and transport of intercepted precipitation. In J. T. Van Stan II, E. Gutmann, & J. Friesen (Eds.), Precipitation partitioning by vegetation (pp. 269–280). Springer Nature. https://doi.org/10.1007/978-3-030-29702-2_16
Barroso, D. G., Souza, M., Oliveira, T., & Siqueira, D. (2018). Growth of Atlantic Forest trees and their influence on topsoil fertility in the southeastern Brazil. CERNE, 24(4), 352‒359. https://doi.org/10.1590/01047760201824042605
Bessi, D., Dias, H., & Tonello, K. C. (2018). Rainfall partitioning in fragments of Cerrado vegetation at different stages of conduction of natural regeneration. Árvore, 42(2), e420215, 1‒11. doi: 10.1590/1806-90882018000200015
Cayuela, C., Levia, D. F., Latron, J., & Llorens, P. (2019). Particulate matter fluxes in a Mediterranean mountain forest: Interspecific differences between throughfall and stemflow in oak and pine stands. Journal of Geophysical Research – Atmospheres, 124(9), 5106–5116. https://doi.org/10.1029/2019JD030276
Coenders-Gerrits, M., Schilperoort, B., & Jiménez-Rodríguez, C. (2020). Evaporative processes on vegetation: An inside look. In J. Van Staan, E. Gutmann, & J. Friesen (Eds.), Precipitation partitioning by vegetation: A global synthesis precipitation (pp. 35‒48). Springer Nature.
Ferreto, D., Reichert, J. M., Cavalcante, R., & Srinivasan, R. (2021). Rainfall partitioning in young clonal plantations Eucalyptus species in a subtropical environment, and implications for water and forest management. International Soil and Water Conservation Research, 9(3), 474‒484. https://doi.org/10.1016/j.iswcr.2021.01.002
Frazer, G., 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-color fisheye photographs [software]. https://www.caryinstitute.org/science/our-scientists/dr-charles-d-canham/gap-light-analyzer-gla
Freitas, J. P., Dias, J., Silva, E., & Tonello, K. C. (2016). Net precipitation in a semideciduous forest fragment in Viçosa city, MG. Árvore, 40(5), 793–801. https://doi.org/10.1590/0100-67622016000500003
Friesen, J. (2020). Flow pathways of throughfall and stemflow through the subsurface. In J. Van Stan, E. Gutmann, & J. Friesen (Eds.), Precipitation partitioning by vegetation (pp. 215–228). Springer Nature. https://doi.org/10.1007/978-3-030-29702-2_13
Guidone, M., Gordon, D. A., & Van Stan, J. T. (2021). Living particulate fluxes in throughfall and stemflow during a pollen event. Biogeochemistry, 153, 323–330. https://doi.org/10.1007/s10533-021-00787-7
Hardwick, S., Toumi, R., Pfeifer, M., Turner, E., Nilus, R., & Ewers, R. (2015). The relationship between leaf area index and microclimate in tropical forest and oil palm plantation: forest disturbance drives changes in microclimate. Agricultural and Forest Meteorology, 201, 187‒195. https://doi.org/10.1016/j.agrformet.2014.11.010
Huang, R., Jia, X., Ou, Y., Xu, M., Xie, P., & Su, Z. (2019). Monitoring canopy recovery in a subtropical forest following a huge ice storm using hemispherical photography. Environmental Monitoring and Assessment, 191(355), 1‒13. https://doi.org/10.1007/s10661-019-7500-6
Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM). (2015). Estudio nacional de la degradación de suelos por erosión en Colombia. IDEAM-MADS. http://documentacion.ideam.gov.co/openbiblio/bvirtual/023648/Sintesis.pdf
Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM). (2022). Consulta y descarga de datos hidrometeorológicos [Conjunto de datos]. http://dhime.ideam.gov.co/atencionciudadano/
Jozwiak, M. A., Kozłowski, R., & Jozwiak, M. (2013). Effects of acid rain stemflow of beech tree (Fagus sylvatica L.) on macro-pedofauna species composition at the trunk base. Polish Journal of Environmental Studies, 22(1), 149‒157. http://www.pjoes.com/pdf-88963-22822?filename=Effects%20of%20Acid%20Rain.pdf
Kaneko, N., & Kofuji, R. (2000). Effects of soil pH gradient caused by stemflow acidification on soil microarthropod community structure in a Japanese red cedar plantation: An evaluation of ecological risk on decomposition. Journal of Forest Research, 5(3), 157‒162. https://doi.org/10.1007/BF02762395
Kaushal, R., Kumar, A., Alam, N., Mandal, D., Jayaparkash, J., Tomar, M. Patra S., Gupta, A. K., Mehta, H., Panwar, P., Chaturvedi, O. P., & Mishra, P. (2017). Effect of different canopy management practices on rainfall partitioning in Morus alba. Ecological Engineering, 102, 374‒380. https://doi.org/10.1016/j.ecoleng.2017.02.029
Lima, M. T., Urso-Guimaraes, M. V., Van Stan, J. T., & Tonello, K. C. (2022). Stemflow metazoan transport from common urban tree species (São Paulo, Brazil). Ecohydrology, e2517. https://doi.org/10.1002/eco.2517
Limin, S., Oue, H., Sato, Y., Budiasa, W., & Indra, B. (2015). Partitioning rainfall into throughfall and interception loss in Clove (Syzygium aromaticum) plantation in upstream Saba River Basin, Bali. Procedia Environmental Sciences, 28, 280‒285. https://doi.org/10.1016/j.proenv.2015.07.036
Metzger, J., Filipzik, J., Michalzik, B., & Hildebrandt, A. (2021). Stemflow infiltration hotspots create soil microsites near tree stems in an unmanaged mixed beech Frontiers in Forests and Global Change, 4, 1‒14. https://doi.org/ 10.3389/ffgc.2021.701293
Momolli, D., Schumacher, M., Viera, M., Ludvichak, A., Guimarães, C., & De Souza, H. (2019). Incident precipitation partitioning: throughfall, stemflow and canopy interception in Eucalyptus dunnii Stand. Journal of Agricultural Science, 11(5), 372‒380. https://doi.org/10.5539/jasv11n5p372
Niemeyer, R., Fremier, K., Heinse, W., Chávez-Human, W., & DeClerck, F. (2014). Woody vegetation increases saturated hydraulic conductivity in dry tropical Nicaragua. Vadose Zone Journal, 13(1), 1‒12. https://doi.org/10.2136/vzj2013.01.0025
Pereira, L., Balbinot, L., Lima, M., Bramorski, J., & Tonello, K. C. (2022). Aspects of forest restoration and hydrology: the hydrological function of litter. Journal of Forestry Research, 33, 543‒552. https://doi.org/10.1007/s11676-021-01365-1
Pineda-Herrera, E., Valdez-Hernández, J., & López-López, M. (2012). Fenología de Schizolobium parahyba y Vochysia guatemalensis en una selva alta perennifolia de Oaxaca, México. Botanical Sciences, 90(2), 185‒193. doi: 10.17129/botsci.483
Ponette-González, A., Van Stan, J., & Magyar, D. (2020). Things seen and unseen in throughfall and stemflow. In J. Van Stan, E. Gutmann, & J. Friesen (Eds.), Precipitation partitioning by vegetation - A global synthesis (pp. 71‒87). Springer Nature.
Ptatscheck, C., Milne, P. C., & Traunspurger, W. (2018). Is stemflow a vector for the transport of small metazoans from tree surfaces down to soil? BMC Ecology, 18, 43. https://doi.org/10.1186/s12898-018-0198-4
Sadeghi, S., Gordon, D., & Van Stan, J. (2020). A global synthesis of throughfall and stemflow hydrometeorology. In J. Van Stan, E. Gutmann, & J. Friesen (Eds.), Precipitation partitioning by vegetation (pp. 49‒70). Springer Nature.
SAS Institute Inc. (2013). Statistical analysis system. The SAS system for Windows version 9.4 [software]. https://www.sas.com/es_mx/software/stat.html
Souza, H., Momolli, D., Ludvichak, A., Schumacher, M., & Malheiros, A. (2019). Linear regression of incident precipitation explains the throughfall, stemflow and interception by the Eucalyptus canopy under different fertilization management. Journal of Experimental Agriculture International, 33(4), 1‒11. https://doi.org/10.9734/JEAI/2019/v33i430147
Sun, J., Yu, X., Wang, H., Jia, G., Zhao, Y., Tu, Z., Den, W., Jia, J., & Chen, J. (2018). Effects of forest structure on hydrological processes in China. Journal of Hydrology, 561, 187‒199. https://doi.org/10.1016/j.jhydrol.2018.04.003
Tonello, K., Gasparoto, E., Shinzato, E., Valente, R., & Dias, H. (2014). Precipitação efetiva em diferentes formações florestais na floresta nacional de Ipanema. Árvore, 38(2), 383‒393. https://doi.org/10.1590/S0100-67622014000200020
Tonello, K., Rosa, A., Pereira, L., Matus, G., Guandique, M., & Navarrete, A. (2021a). Rainfall partitioning in the Cerrado and its influence on net rainfall nutrient fluxes. Agricultural and Forest Meteorology, 303, 1‒12. https://doi.org/10.1016/j.agrformet.2021.108372
Tonello, K., Van Stan, J., Rosa, A., Balbinot, L., Pereira, L., & Bramorski, J. (2021b). Stemflow variability across tree stem and canopy traits in the Brazilian Cerrado. Agricultural and Forest Meteorology, 308-309, 1‒8. https://doi.org/10.1016/j.agrformet.2021.108551
Van Stan, J., & Allen, S. (2020). What we know about stemflow’s infiltration area. Frontiers in Forests and Global Change, 3, 1‒7. https://doi.org/10.3389/ffgc.2020.00061
Vinodhini, S., & Rajeswari, D. (2018). Review on ethnomedical uses, pharmacological activity and phytochemical constituents of Samanea saman (Jacq.) Merr. rain tree. Pharmacognosy Journal, 10(2), 202‒209. https://doi.org/10.5530/pj.2018.2.35
Wang, J., Xiong, Q., Lin, Q., & Huang, H. (2018). Feasibility of using mobile phone to estimate forest leaf area index: a case study in Yunnan Pine. Remote Sensing Letters, 9(2), 180‒188. doi: 10.1080/2150704X.2017.1399470
Woodgate, W., Jones, S., Suarez, L., Hill, M., John, D., Armston, J., Wilkes, P., Soto-Berelov, M., Haywood, A., & Mellor, A. (2015). Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems. Agricultural and Forest Meteorology, 205, 83‒95. https://doi.org/10.1016/j.agrformet.2015.02.012
Zabret, K., Rakovec, J., & Šraj, M. (2018). Influence of meteorological variables on rainfall partitioning for deciduous and coniferous tree species in urban area. Journal of Hydrology, 558, 29‒41. https://doi.org/10.1016/j.jhydrol.2018.01.025
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