Impact of climate change on the hydrology of cryohydrological regions: a systematic review
DOI:
https://doi.org/10.69821/JoSME.v1iI.1Keywords:
climate change, hydrology, climate models, community perceptions, cryohydrological regionsAbstract
Cryohydrological regions (CRs), characterized by their presence of ice and snow, face increasing challenges due to climate change. This study addresses the complex interaction between climate change and hydrology in these crucial areas. Objective: analyze trends, knowledge gaps and future research directions. Methodology: the methodology was qualitative, since it involves a systematic review of the scientific literature, identifying patterns and challenges. Development: the results reveal significant trends in the influence of climate change on CR, highlighting the importance of understanding the perceptions and adaptive capacities of communities. Knowledge gaps were identified in assessing the accuracy of climate models and the need to thoroughly characterize the effects of greenhouse gas emissions. Conclusion: the methodologies used, from global climate models to soil assessment tools, offer valuable insights, but face challenges such as uncertainty and systematic biases.
Downloads
References
Aguilar, P. D. (2022). Caracterización de la distribución espacial y temporal del manto de nieve en una zona pirenaica de matorral con vehículos aéreos no tripulados y sensores térmicos de superficie. Ambiociencias, (20), 57-68. https://doi.org/10.18002/ambioc.i20.7488 DOI: https://doi.org/10.18002/ambioc.i20.7488
Armon, M., Marra, F., Enzel, Y., Rostkier‐Edelstein, D., Garfinkel, C., Adam, O., & Morin, E. (2021). Reduced rainfall in future heavy precipitation events related to contracted rain area despite increased rain rate. Earth S Future, 10(1). https://doi.org/10.1029/2021ef002397 DOI: https://doi.org/10.1029/2021EF002397
Austria, P. and Díaz-Jiménez, D. (2018). Tendencias de la precipitación y su relación con el índice oceánico el niño. el caso de la región mixteca, México. Ingeniería Del Agua, 22(1), 1. https://doi.org/10.4995/ia.2018.7779 DOI: https://doi.org/10.4995/ia.2018.7779
Aygün, O., Kinnard, C., & Campeau, S. (2019). Impacts of climate change on the hydrology of northern midlatitude cold regions. Progress in Physical Geography Earth and Environment, 44(3), 338-375. https://doi.org/10.1177/0309133319878123 DOI: https://doi.org/10.1177/0309133319878123
Aygün, O., Kinnard, C., Campeau, S., & Krogh, S. (2020). Shifting hydrological processes in a Canadian agroforested catchment due to a warmer and wetter climate. Water, 12(3), 739. https://doi.org/10.3390/w12030739 DOI: https://doi.org/10.3390/w12030739
Beyer, A., Hernández, A., & Mendoza, V. (2019). Riesgo ante el cambio climático de la pesca artesanal y el turismo comunitario en el golfo de montijo, panamá. Uned Research Journal, 11(1), S62-S70. https://doi.org/10.22458/urj.v11i1.2323 DOI: https://doi.org/10.22458/urj.v11i1.2323
Bintanja, R. and Andry, O. (2017). Towards a rain-dominated arctic. Nature Climate Change, 7(4), 263-267. https://doi.org/10.1038/nclimate3240 DOI: https://doi.org/10.1038/nclimate3240
Bustillos, D., Arias, H., Rivero, J., & Mora, C. (2017). Pronóstico productivo de la avena forrajera de temporal por efecto del cambio climático en el noroeste de chihuahua, México. Nova Scientia, 9(19). https://doi.org/10.21640/ns.v9i19.953 DOI: https://doi.org/10.21640/ns.v9i19.953
Casanova-Pérez, L., Martínez-Dávila, J., García-Alonso, F., & Cruz, E. (2019). Comunicación del cambio climático y generación de capacidades adaptativas entre los agricultores del trópico subhúmedo. Revista Mexicana De Ciencias Agrícolas, 10(7), 1627-1639. https://doi.org/10.29312/remexca.v10i7.1795 DOI: https://doi.org/10.29312/remexca.v10i7.1795
Chegwidden, O., Nijssen, B., Rupp, D., Arnold, J., Clark, M., Hamman, J., & Xiao, M. (2019). How do modeling decisions affect the spread among hydrologic climate change projections? exploring a large ensemble of simulations across a diversity of hydroclimates. Earth S Future, 7(6), 623-637. https://doi.org/10.1029/2018ef001047 DOI: https://doi.org/10.1029/2018EF001047
Codina, L. (2020). Revisiones sistematizadas en Ciencias Humanas y Sociales. 3: Análisis y Síntesis de la información cualitativa. En C. Lopezosa, J. Díaz-Noci y L. Codina, (Ed.) Anuario de Métodos de Investigación en Comunicación Social 1. Universitat Pompeu Fabra, 50-60. https://doi.org/10.31009/methodos.2020.i01.05 DOI: https://doi.org/10.31009/methodos.2020.i01.05
Corona-Jiménez, M. (2018). El conocimiento, la percepción y disponibilidad para afrontar el cambio climático en una población emergente, los migrantes de retorno. Estudios Sociales Revista De Alimentación Contemporánea Y Desarrollo Regional, 28(52). https://doi.org/10.24836/es.v28i52.578 DOI: https://doi.org/10.24836/es.v28i52.578
Dávila-Ortiz, R., Algara-Siller, M., & Velázquez-Zapata, J. (2020). Variabilidad del impacto del cambio climático en el régimen hidrológico de dos cuencas de la región huasteca. Ingeniería Investigación Y Tecnología, 21(3), 1-12. https://doi.org/10.22201/fi.25940732e.2020.21.3.021 DOI: https://doi.org/10.22201/fi.25940732e.2020.21.3.021
Ding, Y., Liu, Y., & Hu, Z. (2021). The record-breaking mei-yu in 2020 and associated atmospheric circulation and tropical sst anomalies. Advances in Atmospheric Sciences, 38(12), 1980-1993. https://doi.org/10.1007/s00376-021-0361-2 DOI: https://doi.org/10.1007/s00376-021-0361-2
Dowdy, A. (2018). Climatological variability of fire weather in australia. Journal of Applied Meteorology and Climatology, 57(2), 221-234. https://doi.org/10.1175/jamc-d-17-0167.1 DOI: https://doi.org/10.1175/JAMC-D-17-0167.1
Engin, G., Adiller, A., Klug, P., Çelen, M., Herrmann, F., Bach, H., & Wendland, F. (2021). Climate change impact assessment under data scarcity by hydrological and hydrodynamic modeling in izmit bay/turkey. Environmental Research and Technology, 4(1), 1-17. https://doi.org/10.35208/ert.777323
Engin, G., Adiller, A., Klug, P., Çelen, M., Herrmann, F., Bach, H., … & Wendland, F. (2021). Climate change impact assessment under data scarcity by hydrological and hydrodynamic modeling in izmit bay/turkey. Environmental Research and Technology, 4(1), 1-17. https://doi.org/10.35208/ert.777323 DOI: https://doi.org/10.35208/ert.777323
González, A., González, F., & González, O. (2022). Propuesta de indicadores de variabilidad climática con datos mensuales aplicado a climas cálidos en zonas costeras de México. Revista Bio Ciencias, 9. https://doi.org/10.15741/revbio.09.e1173 DOI: https://doi.org/10.15741/revbio.09.e1173
Hauswirth, S., Wiel, K., Bierkens, M., Beijk, V., & Wanders, N. (2023). Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models. Frontiers in Water, 5. https://doi.org/10.3389/frwa.2023.1108108 DOI: https://doi.org/10.3389/frwa.2023.1108108
Hernández-Duarte, A., Sepúlveda, J., Figueroa, V., Valero, F., & Pimentel, F. (2021). Cambios en la cobertura de nieve y su relación con el caudal para la caracterización, monitoreo y gestión de las cuencas de montaña en los andes extratropicales de chile entre los 29° y 37°s utilizando teledetección. Boletín De Estudios Geográficos, (116), 123-155. https://doi.org/10.48162/rev.40.010 DOI: https://doi.org/10.48162/rev.40.010
Jurado, P., Barrera, C., Barrera, F., Olmo, F., & Espejo, J. (2019). Modelos predictivos del comportamiento del nivel piezométrico de la laguna charco del toro (parque nacional de doñana, huelva, sw españa) mediante técnicas de análisis multivariante. Estudios Geográficos, 80(286), 008. https://doi.org/10.3989/estgeogr.201928.008 DOI: https://doi.org/10.3989/estgeogr.201928.008
Kang, Y., Gao, J., Shao, H., & Zhang, Y. (2019). Quantitative analysis of hydrological responses to climate variability and land-use change in the hilly-gully region of the loess plateau, china. Water, 12(1), 82. https://doi.org/10.3390/w12010082 DOI: https://doi.org/10.3390/w12010082
Karimi, T., Reed, P., Malek, K., & Adam, J. (2022). Diagnostic framework for evaluating how parametric uncertainty influences agro‐hydrologic model projections of crop yields under climate change. Water Resources Research, 58(6). https://doi.org/10.1029/2021wr031249 DOI: https://doi.org/10.1029/2021WR031249
Liu, L., Zhang, W., Lu, Q., Jiang, H., Tang, Y., Xiao, H., & Wang, G. (2020). Hydrological impacts of near‐surface soil warming on the tibetan plateau. Permafrost and Periglacial Processes, 31(2), 324-336. https://doi.org/10.1002/ppp.2049 DOI: https://doi.org/10.1002/ppp.2049
López, R., Bustamante, R., Quevedo, V., Cueva, Y., & Puscan, M. (2022). Installation of green roofs and storm drainage in cajamarca, 2022. https://doi.org/10.18687/leird2022.1.1.41 DOI: https://doi.org/10.18687/LEIRD2022.1.1.41
Lozano-Povis, A., Alvarez-Montalván, C., & Moggiano, N. (2021). Climate change in the andes and its impact on agriculture: a systematic review. Scientia Agropecuaria, 12(1), 101-108. https://doi.org/10.17268/sci.agropecu.2021.012 DOI: https://doi.org/10.17268/sci.agropecu.2021.012
Luo, F., Wang, S., He, Y., Wang, Y., & Wang, H. (2022). Anthropogenic warming has increased the 2020 extreme hot and dry conditions over southwest china. Bulletin of the American Meteorological Society, 103(3), S124-S129. https://doi.org/10.1175/bams-d-21-0208.1 DOI: https://doi.org/10.1175/BAMS-D-21-0208.1
Luo, M., Li, S., Meng, F., Duan, Y., Frankl, A., Bao, A., & Maeyer, P. (2018). Comparing bias correction methods used in downscaling precipitation and temperature from regional climate models: a case study from the kaidu river basin in western china. Water, 10(8), 1046. https://doi.org/10.3390/w10081046 DOI: https://doi.org/10.3390/w10081046
Mariño-Martínez, J., Chanci-Bedoya, R., & Garcia, A. (2021). Emisiones de metano asociadas a la minería subterránea del carbón en el altiplano cundiboyacense (colombia). Revista De La Academia Colombiana De Ciencias Exactas Físicas Y Naturales. https://doi.org/10.18257/raccefyn.1372 DOI: https://doi.org/10.18257/raccefyn.1372
Maviza, A. and Ahmed, F. (2021). Climate change/variability and hydrological modelling studies in zimbabwe: a review of progress and knowledge gaps. Sn Applied Sciences, 3(5). https://doi.org/10.1007/s42452-021-04512-9 DOI: https://doi.org/10.1007/s42452-021-04512-9
Peña, M. (2021). Assessment of the megasequía in the province of cachapoal, chile, using modis products. Revista Geográfica De Chile Terra Australis, 57(1). https://doi.org/10.23854/07199562.2021571.lobos44 DOI: https://doi.org/10.23854/07199562.2021571.Lobos44
Pokhrel, Y., Felfelani, F., Satoh, Y., Boulangé, J., Burek, P., Gädeke, A., & Wada, Y. (2021). Global terrestrial water storage and drought severity under climate change. Nature Climate Change, 11(3), 226-233. https://doi.org/10.1038/s41558-020-00972-w DOI: https://doi.org/10.1038/s41558-020-00972-w
Qiao, S., Chen, D., Wang, B., Cheung, H., Liu, F., Cheng, J., & Dong, W. (2021). The longest 2020 meiyu season over the past 60 years: subseasonal perspective and its predictions. Geophysical Research Letters, 48(9). https://doi.org/10.1029/2021gl09359 6 DOI: https://doi.org/10.1029/2021GL093596
Qin, D., Ding, Y., Xiao, C., Kang, S., Ren, J., Yang, J., & Zhang, S. (2017). Cryospheric science: research framework and disciplinary system. National Science Review, 5(2), 255-268. https://doi.org/10.1093/nsr/nwx108 DOI: https://doi.org/10.1093/nsr/nwx108
Raje, D. (2018). Hydrologic impacts of climate change: quantification of uncertainties. Proceedings of the Indian National Science Academy, 99(0). https://doi.org/10.16943/ptinsa/2018/49506 DOI: https://doi.org/10.16943/ptinsa/2018/49506
Rodríguez Casallas, D. F., Páez Moreno, Ángel E., Román Acosta, D., & Rodríguez Torres, E. (2024). Participación ciudadana, gobernanza democrática y derecho al desarrollo: una revisión sistemática. Telos: Revista De Estudios Interdisciplinarios En Ciencias Sociales, 26(1), 198-214. https://ojs.urbe.edu/index.php/telos/article/view/4529 DOI: https://doi.org/10.36390/telos261.13
Roman-Acosta, D., Caira-Tovar, N., Rodríguez-Torres, E., & Pérez Gamboa, A. J. (2023). Estrategias efectivas de liderazgo y comunicación en contextos desfavorecidos en la era digital. Salud, Ciencia Y Tecnología - Serie De Conferencias, 2, 532. https://doi.org/10.56294/sctconf2023532 DOI: https://doi.org/10.56294/sctconf2023532
Stewart, R., Szeto, K., Bonsal, B., Hanesiak, J., Kochtubajda, B., Li, Y., & Matte, D. (2019). Summary and synthesis of changing cold regions network (ccrn) research in the interior of western canada – part 1: projected climate and meteorology. Hydrology and Earth System Sciences, 23(8), 3437-3455. https://doi.org/10.5194/hess-23-3437-2019 DOI: https://doi.org/10.5194/hess-23-3437-2019
Sun, D., Zhang, H., & Guo, Z. (2018). Complexity analysis of precipitation and runoff series based on approximate entropy and extreme-point symmetric mode decomposition. Water, 10(10), 1388. https://doi.org/10.3390/w10101388 DOI: https://doi.org/10.3390/w10101388
Verdezoto-Mendoza, F., Allaica, J., Serrano-Castro, A., & Verdezoto-del-Salto, L. (2021). Evaluación de la variabilidad climática en el cantón chillanes mediante los parámetros de la precipitación y la temperatura. Alfapublicaciones, 3(4.1), 70-84. https://doi.org/10.33262/ap.v3i4.1.125 DOI: https://doi.org/10.33262/ap.v3i4.1.125
Viguera, B., Alpízar, F., Harvey, C., Martínez-Rodríguez, M., Saborío-Rodríguez, M., & Contreras, L. (2019). Percepciones de cambio climático y respuestas adaptativas de pequeños agricultores en dos paisajes guatemaltecos. Agronomía Mesoamericana, 313-331. https://doi.org/10.15517/am.v30i2.33938 DOI: https://doi.org/10.15517/am.v30i2.33938
Wang, H., Zhang, M., Cui, L., & Yu, X. (2017). Spatial heterogeneity in sensitivity of evapotranspiration to climate change. Polish Journal of Environmental Studies, 26(5), 2287-2293. https://doi.org/10.15244/pjoes/70385 DOI: https://doi.org/10.15244/pjoes/70385
Wijekoon, S., Zahidi, I., Yusuf, B., & Shafri, H. (2023). Spatiotemporal correlation and multivariate analysis between vegetation health, terrestrial water storage and precipitation. Iop Conference Series Earth and Environmental Science, 1136(1), 012016. https://doi.org/10.1088/1755-1315/1136/1/012016 DOI: https://doi.org/10.1088/1755-1315/1136/1/012016
Xu, Y., Zhao, Y., Wu, Y., & Gao, C. (2022). Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the yangtze river delta, china. Journal of Water and Climate Change, 13(8), 2972-2990. https://doi.org/10.2166/wcc.2022.097 DOI: https://doi.org/10.2166/wcc.2022.097
Yepes-Nuñez, J., Urrutia, G., Romero-García, M., & Alonso-Fernández, S. (Trads.) (2021). Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Rev Española de Cardiología. https://doi.org/10.1016/j.recesp.2021.06.016 DOI: https://doi.org/10.1016/j.recesp.2021.06.016
Zhang, W., Huang, Z., Jiang, F., Stuecker, M., Chen, G., & Jin, F. (2021). Exceptionally persistent madden‐julian oscillation activity contributes to the extreme 2020 east asian summer monsoon rainfall. Geophysical Research Letters, 48(5). https://doi.org/10.1029/2020gl091588 DOI: https://doi.org/10.1029/2020GL091588
Zhao, Y., Zhang, N., Yu, W., & Zhang, L. (2019). Calibrating a hydrological model by stratifying frozen ground types and seasons in a cold alpine basin. Water, 11(5), 985. https://doi.org/10.3390/w11050985 DOI: https://doi.org/10.3390/w11050985
Zhiña, D., Montenegro, M., Montalván, L., Mendoza, D., Contreras, J., Campozano, L., & Avilés, A. (2019). Climate change influences of temporal and spatial drought variation in the andean high mountain basin. Atmosphere, 10(9), 558. https://doi.org/10.3390/atmos10090558 DOI: https://doi.org/10.3390/atmos10090558
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Amanda Machado Valdivia and Dunia Sotolongo Díaz
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who have works published in Journal of Scientific Metrics and Evaluation agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License 4.0 (CC BY-NC_SA 4.0) that indicates: a) It is allowed that others share the work, with an acknowledgement of the work's authorship and initial publication in this journal, b) The work may not be used for commercial purposes, c) If it's remixed, transformed, or built upon the material, one must distribute the contributions under the same license as the original
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository, website or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.