Water losses from rainfall interception in a fragment of a mixed forest in the state of Durango

Authors

  • César Gerardo Ramos Hernández Facultad de Ciencias Forestales de la Universidad Autónoma de Nuevo León
  • Israel Cantú Silva Universidad Autónoma de Nuevo León. Faculta de Ciencias Forestales
  • Sacramento Corral Rivas Instituto Tecnológico de El Salto. División de Estudios de Posgrado e Investigación. México.
  • Francisco Javier Hernández Instituto Tecnológico de El Salto. División de Estudios de Posgrado e Investigación. México.
  • Tilo Gustavo Domínguez Gómez Universidad Juárez del Estado de Durango. Facultad de Ciencias Forestales, Programa Institucional de Doctorado en Ciencias Agropecuarias y Forestales. México.

DOI:

https://doi.org/10.29298/rmcf.v15i83.1443

Keywords:

Mixed forest, interception, precipitation, hydrological properties, physicochemical

Abstract

In order to understand the hydrological properties of a fragment of mixed forest in the state of Durango, Mexico, an experiment was carried out during the 2017-2020 period. The distribution and flow of rainwater incident rainfall, direct rainfall and stemflow, were quantified in order to assess the interception losses and the physical and chemical properties of the water. 77 events with an accumulation of 2 236.1 mm of rainfall were evaluated. Direct rainfall in Pinus durangensis, P. engelmannii, and P. teocote amounted to 72.4, 71.9, and 70.4 %, respectively. The rainfall that trickled down through the canopy showed an acceptable relationship with respect to incident rainfall, with average values of 0.83 of the Coefficient of Determination (R2); the stemflow was 0.41 for P. durangensis, 0.40 for P. engelmannii, and 0.46 % for P. teocote, with an average R2 of 0.47 and a greater variation. The interception losses were 27, 28, and 29 %, respectively, with an R2 ranging between 0.35, for P. teocote, and 0.44 for P. engelmannii. The pH of throughfall was 5.9 for incident rainfall, 5.0 for the direct rainfall, and 4.1 for stemflow. Electrical conductivity evidenced a chemical change in the water composition, with 32.4 μS cm-1 values for incident rainfall, 39.0 μS cm-1 for direct rainfall and 75.0 μS cm-1 for stemflow. The hydrological properties of the three species of conifers do not exhibit variation in terms of the various pathways of redistribution of rainfall.

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References

Béjar P., S. J., I. Cantú S., T. G. Domínguez G., H. González R., … y E. O. Luna R. 2018. Redistribución de la precipitación y aporte de nutrimentos en Pinus cooperi C. E. Blanco. Revista Mexicana de Ciencias Forestales 9(50):94-120. Doi: 10.29298/rmcf.v9i50.237. DOI: https://doi.org/10.29298/rmcf.v9i50.237

Besteiro, S. I. y A. M. Rodríguez V. 2012. Redistribución de las precipitaciones sobre plantaciones forestales en un predio del partido de La Plata, Buenos Aires. Revista de la Facultad de Agronomía, La Plata 111(2):75-82. https://ri.conicet.gov.ar/handle/11336/101680. (11 de abril de 2023).

Brown, M. B. and A. B. Forsythe. 1974. Robust tests for the equality of variances. Journal of the American Statistical Association 69(346):364-367. Doi: 10.1080/01621459.1974.10482955. DOI: https://doi.org/10.1080/01621459.1974.10482955

Cantú S., I. y H. González R. 2005. Pérdidas por intercepción de la lluvia en tres especies de matorral submontano. Ciencia UANL 8(1):80-85. http://eprints.uanl.mx/1629/1/perdidas_intercepcion_lluvia.pdf. (11 de abril de 2023).

Deng, J., Y. Yu, J. Shao, S. Lu, … and X. Shi. 2022. Rainfall interception using the revised Gash analytical model for Pinus sylvestris var. mongolica in a semi-humid region of NE China. Ecological Indicators 143:109399. Doi: 10.1016/j.ecolind.2022.109399. DOI: https://doi.org/10.1016/j.ecolind.2022.109399

Domínguez G., T. G., B. N. Hernández G., H. González R., I. Cantú S., E. Alanís R. y M. del S. Alvarado. 2018. Estructura y composición de la vegetación en cuatro sitios de la Sierra Madre Occidental. Revista Mexicana de Ciencias Forestales 9(50):9-34. Doi: 10.29298/rmcf.v9i50.227. DOI: https://doi.org/10.29298/rmcf.v9i50.227

Domínguez-Gómez, T. G., S. Vicente-Juan, E. G. Velásquez-Ortíz, E. S. Córdova-Delgado, … y J. G. Colín. 2022. Intercepción de la precipitación en Pinus engelmannii Carr. y Quercus rugosa Née en el Ejido Adolfo Ruiz Cortines, Pueblo Nuevo, Durango. e-CUCBA 9(17):173-181. Doi: 10.32870/ecucba.vi17.225. DOI: https://doi.org/10.32870/ecucba.vi17.225

Fathizadeh, O., S. M. Hosseini, A. Zimmermann, R. F. Keim and A. D. Boloorani. 2017. Estimating linkages between forest structural variables and rainfall interception parameters in semi-arid deciduous oak forest stands. The Science of the Total Environment (601-602):1824-1837. Doi: 10.1016/j.scitotenv.2017.05.233. DOI: https://doi.org/10.1016/j.scitotenv.2017.05.233

Flores A., E., V. Guerra De la C., G. H. Terrazas G., F. Carrillo A., … y E. Buendía R. 2016. Intercepción de lluvia en bosques de montaña en la cuenca del río Texcoco, México. Revista Mexicana de Ciencias Forestales 7(37):65-76. Doi: 10.29298/rmcf.v7i37.52. DOI: https://doi.org/10.29298/rmcf.v7i37.52

García, E. 2004. Modificaciones al sistema de clasificación climática de Köppen. Instituto de Geografía de la Universidad Nacional Autónoma de México. Coyoacán, D. F., México. 90 p.

Instituto Nacional de Estadística, Geografía e Informática (INEGI). 2010. Red hidrográfica edición 2.0. Cuenca R. Baluarte. Región H. Presidio-San Pedro. Escala 1:50 000. Carta: RH11C. INEGI. https://www.inegi.org.mx/app/biblioteca/ficha.html?upc=702825006855. (12 de abril de 2023).

International Business Machines (IBM). 2016. Statistical Package for the Social Sciences (SPSS) V22.0. Chicago, IL, United States of America. IBM Inc.

Levia, D. F. and S. Germer. 2015. A review of stemflow generation dynamics and stemflow-environment interactions in forests and shrublands. Reviews of Geophysics 53(3):673-714. Doi: 10.1002/2015RG000479. DOI: https://doi.org/10.1002/2015RG000479

Luna-Robles, E. O., I. Cantú-Silva, H. González-Rodríguez, J. G. Marmolejo-Monsiváis, M. I. Yáñez-Díaz and S. J. Béjar-Pulido. 2019. Nutrient input via gross rainfall, throughfall and stemflow in scrubland species in northeastern Mexico. Revista Chapingo Serie Ciencias Forestales y del Ambiente 25(2):235-251. Doi: 10.5154/r.rchscfa.2018.12.096. DOI: https://doi.org/10.5154/r.rchscfa.2018.12.096

Magliano, P. N., J. I. Witworth-Hulse and G. Baldi. 2019. Interception, throughfall and stemflow partition in drylands: Global synthesis and meta-analysis. Journal of Hydrology 568:638-645. Doi: 10.1016/j.jhydrol.2018.10.042. DOI: https://doi.org/10.1016/j.jhydrol.2018.10.042

Návar, J. 2020. Modeling rainfall interception loss components of forests. Journal of Hydrology 584:124449. Doi: 10.1016/j.jhydrol.2019.124449. DOI: https://doi.org/10.1016/j.jhydrol.2019.124449

Neary, D. G., G. G. Ice and C. R. Jackson. 2009. Linkages between forest soils and water quality and quantity. Forest Ecology and Management 258(10):2269-2281. Doi: 10.1016/j.foreco.2009.05.027. DOI: https://doi.org/10.1016/j.foreco.2009.05.027

Ott, R. L. and M. Longnecker. 2001. An introduction to statistical methods and data analysis. Duxbury. Pacific Grove, CA, United States of America. 1152 p.

Pérez-Suárez, M., V. M. Cetina-Alcalá, A. Aldrete, M. E. Fenn y L. L. Landois-Palencia. 2006. Química de la precipitación pluvial en dos bosques de la cuenca de la Ciudad de México. Agrociencia 40(2):239-248. https://www.scielo.org.mx/scielo.php?pid=S1405-31952006000200239&script=sci_arttext. (2 de enero de 2023).

Rotenberg, E. and D. Yakir. 2010. Contribution of semi-arid forests to the climate system. Science 327(5964):451-454. Doi: 10.1126/science.1179998. DOI: https://doi.org/10.1126/science.1179998

Schumacher, J. and J. R. Christiansen. 2015. Forest canopy water fluxes can be estimated using canopy structure metrics derived from airborne light detection and ranging (LiDAR). Agricultural and Forest Meteorology 203:131-141. Doi: 10.1016/j.agrformet.2014.12.007. DOI: https://doi.org/10.1016/j.agrformet.2014.12.007

Sheil, D. and D. Murdiyarso. 2009. How forest attract rain: An examination of a new hypothesis. BioScience 59(4):341-347. Doi: 10.1525/bio.2009.59.4.12. DOI: https://doi.org/10.1525/bio.2009.59.4.12

Sheng, H. and T. Cai. 2019. Influence of rainfall on canopy interception in mixed broad-leaved—Korean pine forest in Xiaoxing’an Mountains, Northeastern China. Forest 10(3):248. Doi: 10.3390/f10030248. DOI: https://doi.org/10.3390/f10030248

Silva-González, E., O. A. Aguirre-Calderón, E. J. Treviño-Garza, E. Alanís-Rodríguez y J. J. Corral-Rivas. 2021. Efecto de tratamientos silvícolas en la diversidad y estructura forestal en bosques templados bajo manejo en Durango, México. Madera y Bosques 27(2):e2722082. Doi: 10.21829/myb.2021.2722082. DOI: https://doi.org/10.21829/myb.2021.2722082

Su, L., C. Zhao, W. Xu and Z. Xie. 2016. Modelling interception loss using the revised Gash model: A case study in a mixed evergreen and deciduous broadleaved forest in China. Ecohydrology 9(8):1580-1589. Doi: 10.1002/eco.1749. DOI: https://doi.org/10.1002/eco.1749

Su, L., J. Yang, X. Zhao and Y. Miao. 2022. Effects of fire on interception loss in a coniferous and broadleaved mixed forest. Journal of Hydrology 613:128425. Doi: 10.1016/j.jhydrol.2022.128425. DOI: https://doi.org/10.1016/j.jhydrol.2022.128425

Tamez P., C., I. Cantú S., H. González R., M. I. Yáñez D. y J. I. Uvalle S. 2018. Pérdidas por intercepción en cuatro especies de matorral en el noreste de México. Revista Mexicana de Ciencias Forestales 9(49):126-147. Doi: 10.29298/rmcf.v9i49.177. DOI: https://doi.org/10.29298/rmcf.v9i49.177

Tonello, K. C., E. A. Goes G., E. T. Shinzato, R. de O. Averna V. e H. C. Teixeira D. 2014. Precipitação efetiva em diferentes formações florestais na Floresta Nacional de Ipanema. Revista Árvore 38(2):383-390. Doi: 10.1590/S0100-67622014000200020. DOI: https://doi.org/10.1590/S0100-67622014000200020

Van Stan, J. T. and D. A. Gordon. 2018. Mini-review: Stemflow as a resource limitation to near-stem soils. Frontiers Plant Science 9:1-7. Doi: 10.3389/fpls.2018.00248. DOI: https://doi.org/10.3389/fpls.2018.00248

Wang, Q. and J. Guo. 2023. Rainfall interception loss as a function of leaf area index and rainfall by soybean. Theoretical and Applied Climatology 155(1):289-297. Doi: 10.1007/s00704-023-04633-8. DOI: https://doi.org/10.1007/s00704-023-04633-8

Wang, X. P., Z. N. Wang, R. Berndtsson, Y. F. Zhang and Y. X. Pan. 2011. Desert shrub stemflow and its significance in soil moisture replenishment. Hydrology and Earth System Science 15(2):561-567. Doi: 10.5194/hess-15-561-2011. DOI: https://doi.org/10.5194/hess-15-561-2011

Yann, W., X. Deng, X. Chen, D. Tian, W. Xiang and Y. Peng. 2015. Long-term variations of rainfall interception in different growth stages of Chinese fir plantations. Hydrological Sciences Journal 60(12):2178-2188. Doi: 10.1080/02626667.2014.964243. DOI: https://doi.org/10.1080/02626667.2014.964243

Yáñez-Díaz, M. I., I. Cantú-Silva, H. González-Rodríguez y J. I. Uvalle-Sauceda. 2014. Redistribución de la precipitación en tres especies arbustivas nativas y una plantación de Eucalipto del noreste de México. Tecnología y Ciencias del Agua 5(2):71-84. https://www.scielo.org.mx/pdf/tca/v5n2/v5n2a5.pdf. (15 de marzo de 2023).

Zabret, K., J. Rakovec and M. Šraj. 2018. Influence of meteorological variables on rainfall partitioning for deciduous and coniferous tree species in urban area. Journal of Hydrology 558:29-41. Doi: 10.1016/j.jhydrol.2018.01.025. DOI: https://doi.org/10.1016/j.jhydrol.2018.01.025

Zore, A., N. Bezak and M. Šraj. 2022. The influence of rainfall interception on the erosive power of raindrops under the birch tree. Journal of Hydrology 613:128478. Doi: 10.1016/j.jhydrol.2022.128478. DOI: https://doi.org/10.1016/j.jhydrol.2022.128478

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Published

2024-04-26

How to Cite

Ramos Hernández, César Gerardo, Israel Cantú Silva, Sacramento Corral Rivas, Francisco Javier Hernández, and Tilo Gustavo Domínguez Gómez. 2024. “Water Losses from Rainfall Interception in a Fragment of a Mixed Forest in the State of Durango”. Revista Mexicana De Ciencias Forestales 15 (83). México, ME:55-79. https://doi.org/10.29298/rmcf.v15i83.1443.

Issue

Vol. 15 No. 83 (2024)

Section

Scientific article

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