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Arce Navarro, Kenia, Castañeda Ruelas, Gloria, Jiménez Edeza, Maribel, Valdez González, Francisco. (1404). Aggregative Indexes as Tools for Assessing Water Quality in Aquaculture: A Case Study from Nayarit, Mexico. , 12(1), 205-220. doi: 10.22059/poll.2025.397354.2998
Kenia Sarai Arce Navarro; Gloria Marisol Castañeda Ruelas; Maribel Jiménez Edeza; Francisco Javier Valdez González. "Aggregative Indexes as Tools for Assessing Water Quality in Aquaculture: A Case Study from Nayarit, Mexico". , 12, 1, 1404, 205-220. doi: 10.22059/poll.2025.397354.2998
Arce Navarro, Kenia, Castañeda Ruelas, Gloria, Jiménez Edeza, Maribel, Valdez González, Francisco. (1404). 'Aggregative Indexes as Tools for Assessing Water Quality in Aquaculture: A Case Study from Nayarit, Mexico', , 12(1), pp. 205-220. doi: 10.22059/poll.2025.397354.2998
Arce Navarro, Kenia, Castañeda Ruelas, Gloria, Jiménez Edeza, Maribel, Valdez González, Francisco. Aggregative Indexes as Tools for Assessing Water Quality in Aquaculture: A Case Study from Nayarit, Mexico. , 1404; 12(1): 205-220. doi: 10.22059/poll.2025.397354.2998

Aggregative Indexes as Tools for Assessing Water Quality in Aquaculture: A Case Study from Nayarit, Mexico

Pollution
دوره 12، شماره 1، فروردین 2026، صفحه 205-220    اصل مقاله (1.63 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22059/poll.2025.397354.2998
نویسندگان
Kenia Sarai Arce Navarro1؛ Gloria Marisol Castañeda Ruelas2؛ Maribel Jiménez Edeza2؛ Francisco Javier Valdez González* 1
1Escuela Nacional de Ingeniería Pesquera, Universidad Autónoma de Nayarit. Carretera a Los Cocos km. 12, Bahía de Matanchén San Blas, Nayarit, México
2Laboratorio de Investigación y Diagnóstico Microbiológico, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Sinaloa. Blvd. de las Américas - Josefa Ortiz de Domínguez S/N, Ciudad Universitaria, 80013 Culiacán, Sinaloa, México
چکیده
Nayarit, is a leading aquaculture state in Mexico, so evaluating the physicochemical characteristics of the water is essential for monitoring the region's aquaculture systems. For this, the objective was to evaluate the hydrological and ecological suitability of water in shrimp production. Physical and chemical variables (dissolved oxygen, pH, temperature, turbidity, and salinity) were measured at 15 pumping water points during the winter and summer seasons. The Hydrological Aptitude Index (HAI) was calculated weighing the parameters from highest to lowest according to their importance for shrimp development. The ecological suitability was assessed following the guidelines of the Canadian Council of Ministers of the Environment (CCME) for Ecological Criteria for Water Quality compliance. The results indicated that the parameters dissolved oxygen (2.2 to 10.3 mg/L), temperature (24 to 35 °C) and pH (7.3 to 9.1) were identified as significant predictors of water quality according to the Mann-Whitney test (p < 0.05). Winter offered the best conditions for shrimp; the HAI classified hydrological suitability from requiring little management to having excellent quality (6 - 10) in 66.7 % of the samples. Although, a lack of correlation with shrimp productivity is shown in the Spearman test (p > 0.05). According to CCME, ecological conditions rarely or sometimes deviate from desirable levels (65-94) at 53.3% of sites. This research sets a precedent for the current state of aquaculture tributaries in Nayarit and proposes the use of quality indices as a tool for the comprehensive analysis of water suitability for Litopenaeus vannamei production.
کلیدواژه‌ها
Litopenaeus vannamei؛ shrimp farming؛ water quality؛ physicochemical analysis
مراجع
Abrahim, B. I., Jasim, A. A., Mahmood, M. R., Mahmood, H. R., Alalwan, H. A., & Mohammed, M. M. (2025). Water body detection using Sentinel-2 Imagery through particle swarm intelligence: a novel framework for optimizing spectral Multi-Band Index. Eng, 6(59). https://doi.org/10.3390/eng6030059.
Ahmed, N., Thompson, S., & Glaser, M. (2019). Global aquaculture productivity, environmental sustainability, and climate change adaptability. Environ. Manag., 63;159–172. https://doi.org/10.1007/s00267-018-1117-3.
Ahmed, N., & Turchini, G. M. (2021). Recirculating aquaculture systems (RAS): Environmental solution and climate change adaptation. J. Clean. Prod., 297;126604. https://doi.org/10.1016/j.jenvman.2021.112271.
Al-humairi, B. A. J., Rahal, N. S., & Alalwan, H. A. (2023). Studying the effect of climate elements variability on surface water runoff and infiltration rate in Babylon province by using statistical analysis. Int. J. Hydrol. Sci. Tec., 16(2), 107-121. 
Ariadi, H., Fadjar, M., & Mahmudi, M. (2019). The relationships between water quality parameters and the growth rate of white shrimp (Litopenaeus vannamei) in intensive ponds. AACL Bioflux, 12(6); 2103-2116. 
Ariadi, H., Azril, M., & Mujtahidah, T. (2023). Water quality fluctuations in shrimp ponds during dry and rainy seasons. Croat. J. Fish., 81;127-137. https://doi.org/10.2478/cjf-2023-0014.
Beltrame, E., Bonetti, C., & Bonetti, J. (2006). Pre-selection of areas for shrimp culture in a subtropical brazilian lagoon based on multicriteria hydrological evaluation. J. Coast. Res., 39;1838 – 1842.
Bommireddy, S., Kunda, S. K., & RaoA, C. (2020). Influence of turbidity on productivity of white leg shrimp, Litopenaeus vannamei, in grow out ponds, Nellore district, Andhra Pradesh, India. J. Study. Res., 12(11);1-8.
Carbajal-Hernández, J. J., Sánchez-Fernández, L. P., Villa-Vargas, L. A., Carrasco-Ochoa, J. A., & Martínez-Trinidad, J. F. (2013). Water quality assessment in shrimp culture using an analytical hierarchical process. Ecol. Indic., 29;148–158. http://dx.doi.org/10.1016/j.ecolind.2012.12.017.
Carbajal-Hernández, J. J., & Sánchez-Fernández, L. P. (2017). Neural network modelling for dissolved oxygen effects in extensive Litopenaeus Vannamei culture. In: Pichardo-Lagunas, O., Miranda-Jiménez, S. (eds) Advances in Soft Computing. MICAI 2016. Lecture Notes in Computer Science, vol 10062. Springer, Cham. https://doi.org/10.1007/978-3-319-62428-0_10.
CCME (2017). Canadian water quality Guidelines for the protection of aquatic life. CCME water quality index user’s manual 2017. Canada. 23 pp.
CESANAY (2025). Resumen de situación sanitaria, siembras y producción de camarón en Nayarit 2023. Available at: https://cesanay.org/cesanay/reporte-de-produccion-2023-2/ (accessed August 2025).
Chen, Z., Chang, Z., Zhang, L., Jiang, Y., Ge, H., Song, X., Chen, S., Zhao, F., & Li, J. (2019). Effects of water recirculation rate on the microbial community and water quality in relation to the growth and survival of white shrimp (Litopenaeus vannamei). BMC Microbiol, 19;192. https://doi.org/10.1186/s12866-019-1564-x.
CONAGUA (2018). Diagnóstico de la calidad del agua en el Río Santiago, desde el Lago de Chapala hasta el puente Arcediano y de los municipios de Juanacatlán y El Salto, en Jalisco. México. p 11.
CONAPESCA (2024). Cierra Agricultura 2024 con resultados positivos en pesca y acuacultura. Available at: https://www.gob.mx/conapesca/prensa/cierra-agricultura-2024-con-resultados-positivos-en-pesca-y-acuacultura-387149 (accessed January 2025).
DOF (1989). Acuerdo por el que se establecen los criterios ecológicos de calidad del agua CE-CCA-001/89. Secretaría de Desarrollo Urbano y Ecología.  Available at: http://www.dof.gob.mx/nota_detalle.php?codigo=4837548&fecha=13/12/1989. (accessed January 2024). 
dos Santos, F., Moreira, A. B., Bisinoti, M. C., Nobre, S. M., & Santos, M. J. (2008). Water quality index as a simple indicator of aquaculture effects on aquatic bodies. Ecol. Indic., 8;476–484. https://doi.org/10.1016/j.ecolind.2007.05.002.
dos Santos Mendonça, J. M., Navoni, J. A., de Medeiros, G. F., & Mina, I. M. C. A. P. (2022). Ecotoxicological assessment of estuarine surface waters receiving treated and untreated sanitary wastewater. Environ. Monit. Assess., 194;908. https://doi.org/10.1007/s10661-022-10636-1.
Ferreira, N. C., Bonetti, C., & Seiffert, W. Q. (2011). Hydrological and Water Quality Indices as management tools in marine shrimp culture. Aquaculture, 318;425–433. https://doi.org/10.1016/j.aquaculture.2011.05.045.
Flores-Pérez, M. B., Yépez, E. A., Robles-Morúa, A., Villa-Ibarra, M., Bórquez-López, R., Gil-Núñez, J. C., Lares-Villa, F., & Casillas-Hernández, R. (2023). Eco-efficiency assessment of disease-infected shrimp farming in Mexico using environmental impact assessment tools. Sci. Total. Environ., 858(2);159737. https://doi.org/10.1016/j.scitotenv.2022.159737.
Gámez-Bayardo, S., Castañeda-Ruelas, G. M., Espinosa-Plascencia, A., Bermúdez-Almada, M. C., & Jiménez-Edeza, M. (2021). Characterization of Vibrio parahaemolyticus strains and evaluation of shrimp cultivation conditions in a farm at the northwestern of Mexico, as risk predictors for its adaptation and dissemination. Lat. Am. J. Aquat. Res., 49(1);75-85. https://doi.org/10.3856/vol49-issue1-fulltext-2512.
González-Huerta, C. A., Cuevas-Rodríguez, B.L., Valdez-González, F. J., Mu, E., & Zavala-Leal, O. I. (2020). Public policies for shrimp farm in the state of Nayarit. Acta pesquera, 6;34-39.
González, C. A., Soto, E., Enciso, R., & Zavala, O. I. (2020). Camaronicultura en Nayarit: Caracterización de los productores y las unidades de producción. Matemáticas Ingeniería y Ciencias Ambientales, 3(5);10-24.
Hossain, M. S., Uddin, M. J., & Fakhruddin, A. N. M. (2013). Impacts of shrimp farming on the coastal environment of Bangladesh and approach for management. Rev. Environ. Sci. Biotechnol., 12;313–332. https://doi.org/10.1007/s11157-013-9311-5.
Jamroen, C., Yonsiri, N., Odthon, T., Wisitthiwong, N., & Janreung, S. (2023). A standalone photovoltaic/battery energy-powered water quality monitoring system based on narrowband internet of things for aquaculture: Design and implementation. Smart. Agric. Technol., 3;100072. https://doi.org/10.1016/j.atech.2022.100072.
Kathyayani, S. A., Muralidhar, M., Kumar, T. S., & Alavandi, S. V. (2019). Stress Quantification in Penaeus vannamei exposed to varying levels of turbidity. J. Coast. Res., 86(SP1);177-173. https://doi.org/10.2112/SI86-027.1.
Koçer, M. A. T., & Sevgili, H. (2014). Parameters selection for water quality index in the assessment of the environmental impacts of land-based trout farms. Ecol. Indic., 36;672–681. http://dx.doi.org/10.1016/j.ecolind.2013.09.034.
Lien, B. T. B., & Giao, N. T. (2020). Quality of water and sediment in whiteleg shrimp (Litopenaeus Vannamei) pond. Int. J. Environ. Biotech., 5(5);1319-1328. https://dx.doi.org/10.22161/ijeab.55.19.
Lin, Q., Yang, W., Zheng, C., Lu, K., Zheng, Z., Wang, J., & Zhu, J. (2018). Deep learning based approach for forecast of water quality in intensive shrimp ponds. Indian J. Fish., 65(4);75-80. https://dx.doi.org/10.21077/ijf.2018.65.4.72559-09.
Lobato, R. D. O., Cruz, L. C., Tavares, P. B., Wasielesky, W., Maciel, F. E., & Ventura-Lima, J. (2020). Influence of physicochemical parameters on Litopenaeus vannamei survival. Pan-Am. J. Aquat. Sci., 15(2);74-80.
Longhini, C. M., Rodrigues, S. K., Costa ES et. al. (2022). Environmental quality assessment in a marine coastal area impacted by mining tailing using a geochemical multi-index and physical approach. Sci. Total. Environ., 803;149883. https://doi.org/10.1016/j.scitotenv.2021.149883.
Lu, H., Chen, W., Peng, K., Huang, M., Zhao, J., Chen, X., Sun, Y., Ruan, Z., Li, C., Liu, D., Liu, Z., Li, H., Zhang, Y., & Huang, W. (2023). Rapid adaptive and acute stimulatory responses to low salinity stress in Pacific white shrimp (Litopenaeus vannamei): Insights from integrative transcriptomic and proteomic analysis. Comp. Biochem. Physiol – D: Genom. Proteom., 48;101149. https://doi.org/10.1016/j.cbd.2023.101149.
Ma, Z., Li, H., Ye, Z., Wena, J., Hua, Y., & Liu, Y. (2020). Application of modified water quality index (WQI) in the assessment of coastal water quality in main aquaculture areas of Dalian, China. Mar. Pollut. Bull., 157;111285. https://doi.org/10.1016/j.marpolbul.2020.111285.
Madusari, B. D., Ariadi, H., & Mardhiyana, D. (2022). Effect of the feeding rate practice on the white shrimp (Litopenaeus vannamei) cultivation activities. AACL Bioflux, 15(1);473-479.
Meidiana, D., Masithah, E. D., & Isroni, W. (2023). The effect of temperature differences on oxygen consumption level (OCL) and stress level in the process of spawning vaname shrimp (Litopenaeus vannamei). IOP Conf. Ser: Earth. Environ. Sci., 1273 012069. https://doi:10.1088/1755-1315/1273/1/012069.
Millard, R. S., Ellis, R. P., Bateman, K. S., Bickley, L. K., Tyler, C. R., van Aerle, R., & Santos, E. M. (2021). How do abiotic environmental conditions influence shrimp susceptibility to disease? A critical analysis focused on white spot disease. J. Invertebr. Pathol., 186;107369.
Mahmood, M. R., Abrahem, B. I., Jumaah, H. J., Alalwan, Ha. A., & Mohammed, M. M. (2025). Drought monitoring of large lakes in Iraq using remote sensing images and normalized difference water index (NDWI). Results Eng., 25:103854. https://doi.org/10.1016/j.rineng.2024.103854.
Mohanty, R. K., Ambast, S. K., Panigrahi, P., & Mandal, K. G. (2018). Water quality suitability and water use indices: Useful management tools in coastal aquaculture of Litopenaeus vannamei. Aquaculture, 485;210–219.
Nájera, A., Carrillo, F. M., Morales, J. C., & Nájera, O. (2021). Change of coverage and land use in coastal plain associated with anthropogenic processes: case San Blas, Nayarit. Madera y Bosques, 27(1);e2712104. https://doi:10.21829/myb.2021.2712104.
Noguera-Muñoz, F. A., García, B., Ponce-Palafox, J. T., Wicab-Gutierrez, O., Castillo-Vargasmachuca, S. G., & García, J. (2021). Sustainability assessment of white shrimp (Penaeus vannamei) production in super-intensive system in the municipality of San Blas, Nayarit, Mexico. Water, 13;304.
Ponce, J. T., Soto, E., Meza, E., & Robles, F. J. (2018). Etapa de crecimiento lento de la acuicultura en Nayarit: Aspectos económicos y sostenibilidad. Revista Mexicana Sobre Desarrollo Local, 2;1-12.
Rahi, M. L., Azad, K. N., Tabassum, M., Irin, H. H., Hossain, K. S., Aziz, D., Moshtaghi, A., & Hurwood, D. A. (2021). Effects of salinity on physiological, biochemical and gene expression parameters of black tiger shrimp (Penaeus monodon): Potential for farming in low-salinity environments. Biology, 10;1220. https://doi.org/10.3390/biology10121220. 
Rahman, M. S., Shafiuddin Ahmed, A. S., Rahman, M. M., Omar Faruque Babu, S. M., Sultana, S., Sarker, S. I., Awual, R., Rahman, M. M., & Rahman, M. (2021). Temporal assessment of heavy metal concentration and surface water quality representing the public health evaluation from the Meghna River estuary, Bangladesh. Appl. Water. Sci., 11(7);121. https://doi.org/10.1007/s13201-021-01455-9.
Rodríguez-Camacho, J. C., Méndez-Gómez, E., Rivas-Montaño, A. M., & Cortés-Ruiz, J. A. (2014). Evaluación de la presencia de Vibrio parahaemolyticus en camarón blanco (Litopenaeus vannamei) silvestre estuarino en el sur de Sinaloa y norte de Nayarit, mediante análisis microbiológico y PCR. Rev. Bio. Cienc., 2(4);282-292. http://dx.doi.org/10.15741/revbio.02.04.06.
U.S. EPA (1986). Ambient water quality criteria for bacteria. EPA 440/ 5-84-002. Washington DC: United States Environmental Protection Agency.
U.S. EPA (1988). Water quality standards criteria summaries: A Compilation of State/Federal Criteria. Report No. EPA 44015-88/013.  US Environmental Protection Agency, Washington, DC, pp 22. 
Wafi, A., Ariadi, H., Muqsith, A., Mahmudi, M., & Fadjar, M. (2021). Oxygen consumption of Litopenaeus vannamei in intensive ponds based on the dynamic modeling system. J. Aquac. Fish. Health., 10(1);17-24. https://doi.org/10.20473/jafh.v10i1.18102.
Wang, Z., Qu, Y., Yan, M., Li, J., Zou, J., & Fan, L. (2019). Physiological responses of Pacific white shrimp Litopenaeus vannamei to temperature fluctuation in low-salinity water. Front. Physiol., 10;1025. https://doi: 10.3389/fphys.2019.01025.
Warren, M. A., Simis, S. G. H., & Selmes, N. (2021). Complementary water quality observations from high and médium resolution Sentinel sensors by aligning chlorophyll-a and turbidity algorithms. Remote. Sens. Environ., 265;1126510. https://doi.org/10.1016/j.rse.2021.112651.
Xu, L., Chen, S., Zhuang, P., Xie, D., Shiyu, L., Liu, D., Li, Z., Wang, F., & Xing, F. (2020). Assessment of the nutrient removal potential of floating native and exotic aquatic macrophytes cultured in swine manure wastewater. Int. J. Environ. Res. Public. Health., 17;1103.
Al-Masqari, Z. A., Guo, H., Wang, R., Yan, H., Dong, P., Wang, G., & Zhang, D. (2022). Effects of high temperature on water quality, growth performance, enzyme activity and the gut bacterial community of shrimp (Litopenaeus vannamei). Aquac. Res., 00;1–14. http://dx.doi.org/ 10.1111/are.15836.
Yang, P., He, C., Qin, Y., Wang, W., Mai, K., Qin, Q., Wei, Z., & Song, F. (2021). Evaluation of composite mixture of protein sources in replacing fishmeal for Pacific white shrimp (Litopenaeus vannamei): Based on the changing pattern of growth performance, nutrient metabolism and health status. Aquac. Rep., 21;100914.
Zavala-Leal, O. I., Hernández-Jaime, R. J., Valdez-González, F. J., Martínez-Cárdenas, L., González-Huerta, C. A., & Cuevas-Rodríguez, B. (2022). Intestinal infestation by gregarines in farmed whiteleg shrimp Penaeus vannamei in Nayarit, Mexico. Rev. Bio. Ciencias, 9 e1277. https://doi.org/10.15741/revbio.09.e1277.

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