15 research outputs found

    Mapping Satellite Inherent Optical Properties Index in Coastal Waters of the Yucatán Peninsula (Mexico)

    Full text link
    [EN] The Yucatan Peninsula hosts worldwide-known tourism destinations that concentrate most of the Mexico tourism activity. In this region, tourism has exponentially increased over the last years, including wildlife oriented tourism. Rapid tourism development, involving the consequent construction of hotels and tourist commodities, is associated with domestic sewage discharges from septic tanks. In this karstic environment, submarine groundwater discharges are very important and highly vulnerable to anthropogenic pollution. Nutrient loadings are linked to harmful algal blooms, which are an issue of concern to local and federal authorities due to their recurrence and socioeconomic and human health costs. In this study, we used satellite products from MODIS (Moderate Resolution Imaging Spectroradiometer) to calculate and map the satellite Inherent Optical Properties (IOP) Index. We worked with different scenarios considering both holiday and hydrological seasons. Our results showed that the satellite IOP Index allows one to build baseline information in a sustainable mid-term or long-term basis which is key for ecosystem-based management.This research was funded by CONACYT with a doctorate scholarship to Jesús A. Aguilar-Maldonado,with the announcement number 251025 in 2015. María-Teresa Sebastiá-Frasquet was a beneficiary of the BEST/2017/217 post-doctoral research grant, supported by the Valencian Conselleria d’Educació, Investigació,Cultura i Esport (Spain) during her stay at the Universidad Autónoma de Baja California (Mexico). The Secretariat of Public Education of Mexico (SEP) under the Program for Professional Development Teacher, covered the costs of publication in open access.Aguilar-Maldonado, J.; Santamaría-Del-Ángel, E.; González-Silvera, A.; Cervantes-Rosas, OD.; Sebastiá-Frasquet, M. (2018). Mapping Satellite Inherent Optical Properties Index in Coastal Waters of the Yucatán Peninsula (Mexico). Sustainability. 10(6). https://doi.org/10.3390/su10061894S1894106Bentz, J., Lopes, F., Calado, H., & Dearden, P. (2016). Sustaining marine wildlife tourism through linking Limits of Acceptable Change and zoning in the Wildlife Tourism Model. Marine Policy, 68, 100-107. doi:10.1016/j.marpol.2016.02.016Jarvis, D., Stoeckl, N., & Liu, H.-B. (2016). The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning. Tourism Management, 52, 1-18. doi:10.1016/j.tourman.2015.06.003Ziegler, J., Dearden, P., & Rollins, R. (2012). But are tourists satisfied? Importance-performance analysis of the whale shark tourism industry on Isla Holbox, Mexico. Tourism Management, 33(3), 692-701. doi:10.1016/j.tourman.2011.08.004Duffus, D. A., & Dearden, P. (1990). Non-consumptive wildlife-oriented recreation: A conceptual framework. Biological Conservation, 53(3), 213-231. doi:10.1016/0006-3207(90)90087-6Aguilar-Trujillo, A. C., Okolodkov, Y. B., Herrera-Silveira, J. A., Merino-Virgilio, F. del C., & Galicia-García, C. (2017). Taxocoenosis of epibenthic dinoflagellates in the coastal waters of the northern Yucatan Peninsula before and after the harmful algal bloom event in 2011–2012. Marine Pollution Bulletin, 119(1), 396-406. doi:10.1016/j.marpolbul.2017.02.074Ulloa, M. J., Álvarez-Torres, P., Horak-Romo, K. P., & Ortega-Izaguirre, R. (2017). Harmful algal blooms and eutrophication along the mexican coast of the Gulf of Mexico large marine ecosystem. Environmental Development, 22, 120-128. doi:10.1016/j.envdev.2016.10.007Henrichs, D. W., Hetland, R. D., & Campbell, L. (2015). Identifying bloom origins of the toxic dinoflagellate Karenia brevis in the western Gulf of Mexico using a spatially explicit individual-based model. Ecological Modelling, 313, 251-258. doi:10.1016/j.ecolmodel.2015.06.038Murray, G. (2007). Constructing Paradise: The Impacts of Big Tourism in the Mexican Coastal Zone. Coastal Management, 35(2-3), 339-355. doi:10.1080/08920750601169600Heisler, J., Glibert, P. M., Burkholder, J. M., Anderson, D. M., Cochlan, W., Dennison, W. C., … Suddleson, M. (2008). Eutrophication and harmful algal blooms: A scientific consensus. Harmful Algae, 8(1), 3-13. doi:10.1016/j.hal.2008.08.006Smayda, T. J. (2008). Complexity in the eutrophication–harmful algal bloom relationship, with comment on the importance of grazing. Harmful Algae, 8(1), 140-151. doi:10.1016/j.hal.2008.08.018Klemas, V. (2012). Remote Sensing of Algal Blooms: An Overview with Case Studies. Journal of Coastal Research, 278, 34-43. doi:10.2112/jcoastres-d-11-00051.1COFEPRIS (Comisión Federal para la Protección contra Riesgos Sanitarios/Federal Commission for Protection against Health Risks)https://www.gob.mx/cofepris/acciones-y-programas/antecedentes-en-mexico-76707Antoine, D., & Morel, A. (1996). Oceanic primary production: 1. Adaptation of a spectral light-photosynthesis model in view of application to satellite chlorophyll observations. Global Biogeochemical Cycles, 10(1), 43-55. doi:10.1029/95gb02831Barocio-León, Ó. A., Millán-Núñez, R., Santamaría-del-Ángel, E., González-Silvera, A., & Trees, C. C. (2006). Spatial variability of phytoplankton absorption coefficients and pigments off Baja California during November 2002. Journal of Oceanography, 62(6), 873-885. doi:10.1007/s10872-006-0105-zSmith, V. H., Tilman, G. D., & Nekola, J. C. (1999). Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems. Environmental Pollution, 100(1-3), 179-196. doi:10.1016/s0269-7491(99)00091-3Limoges, A., Londeix, L., & de Vernal, A. (2013). Organic-walled dinoflagellate cyst distribution in the Gulf of Mexico. Marine Micropaleontology, 102, 51-68. doi:10.1016/j.marmicro.2013.06.002Jiang, L., Xia, M., Ludsin, S. A., Rutherford, E. S., Mason, D. M., Marin Jarrin, J., & Pangle, K. L. (2015). Biophysical modeling assessment of the drivers for plankton dynamics in dreissenid-colonized western Lake Erie. Ecological Modelling, 308, 18-33. doi:10.1016/j.ecolmodel.2015.04.004Aguilar-Maldonado, J., Santamaría-del-Ángel, E., González-Silvera, A., Cervantes-Rosas, O., López, L., Gutiérrez-Magness, A., … Sebastiá-Frasquet, M.-T. (2018). Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) in Optically Complex Waters. Water, 10(2), 129. doi:10.3390/w10020129Wei, G., Tang, D., & Wang, S. (2008). Distribution of chlorophyll and harmful algal blooms (HABs): A review on space based studies in the coastal environments of Chinese marginal seas. Advances in Space Research, 41(1), 12-19. doi:10.1016/j.asr.2007.01.037Urquhart, E. A., Schaeffer, B. A., Stumpf, R. P., Loftin, K. A., & Werdell, P. J. (2017). A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing. Harmful Algae, 67, 144-152. doi:10.1016/j.hal.2017.06.001Harvey, E. T., Kratzer, S., & Philipson, P. (2015). Satellite-based water quality monitoring for improved spatial and temporal retrieval of chlorophyll-a in coastal waters. Remote Sensing of Environment, 158, 417-430. doi:10.1016/j.rse.2014.11.017Malthus, T. J., & Mumby, P. J. (2003). Remote sensing of the coastal zone: An overview and priorities for future research. International Journal of Remote Sensing, 24(13), 2805-2815. doi:10.1080/0143116031000066954Matthews, M. W. (2011). A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. International Journal of Remote Sensing, 32(21), 6855-6899. doi:10.1080/01431161.2010.512947Miller, R. L., & McKee, B. A. (2004). Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters. Remote Sensing of Environment, 93(1-2), 259-266. doi:10.1016/j.rse.2004.07.012Loisel, H., Vantrepotte, V., Norkvist, K., Mériaux, X., Kheireddine, M., Ras, J., … Moutin, T. (2011). Characterization of the bio-optical anomaly and diurnal variability of particulate matter, as seen from scattering and backscattering coefficients, in ultra-oligotrophic eddies of the Mediterranean Sea. Biogeosciences, 8(11), 3295-3317. doi:10.5194/bg-8-3295-2011Werdell, P. J., Franz, B. A., Bailey, S. W., Feldman, G. C., Boss, E., Brando, V. E., … Mangin, A. (2013). Generalized ocean color inversion model for retrieving marine inherent optical properties. Applied Optics, 52(10), 2019. doi:10.1364/ao.52.002019Brezonik, P. L., Olmanson, L. G., Finlay, J. C., & Bauer, M. E. (2015). Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters. Remote Sensing of Environment, 157, 199-215. doi:10.1016/j.rse.2014.04.033Odermatt, D., Gitelson, A., Brando, V. E., & Schaepman, M. (2012). Review of constituent retrieval in optically deep and complex waters from satellite imagery. Remote Sensing of Environment, 118, 116-126. doi:10.1016/j.rse.2011.11.013Enriquez, C., Mariño-Tapia, I., Jeronimo, G., & Capurro-Filograsso, L. (2013). Thermohaline processes in a tropical coastal zone. Continental Shelf Research, 69, 101-109. doi:10.1016/j.csr.2013.08.018Estadísticas del Agua en México. Secretaría de Medio Ambiente y Recursos Naturaleshttp://201.116.60.25/publicaciones/EAM_2016.pdfArcega-Cabrera, F., Garza-Pérez, R., Noreña-Barroso, E., & Oceguera-Vargas, I. (2014). Impacts of Geochemical and Environmental Factors on Seasonal Variation of Heavy Metals in a Coastal Lagoon Yucatan, Mexico. Bulletin of Environmental Contamination and Toxicology, 94(1), 58-65. doi:10.1007/s00128-014-1416-1Lopez-Maldonado, Y., Batllori-Sampedro, E., Binder, C. R., & Fath, B. D. (2017). Local groundwater balance model: stakeholders’ efforts to address groundwater monitoring and literacy. Hydrological Sciences Journal, 62(14), 2297-2312. doi:10.1080/02626667.2017.1372857Derrien, M., Cabrera, F. A., Tavera, N. L. V., Kantún Manzano, C. A., & Vizcaino, S. C. (2015). Sources and distribution of organic matter along the Ring of Cenotes, Yucatan, Mexico: Sterol markers and statistical approaches. Science of The Total Environment, 511, 223-229. doi:10.1016/j.scitotenv.2014.12.053INEGIhttp://www.beta.inegi.org.mx/temas/agua/Ramírez, R., Seeliger, L., & Di Pietro, F. (2016). Price, Virtues, Principles: How to Discern What Inspires Best Practices in Water Management? A Case Study about Small Farmers in the Yucatan Peninsula of Mexico. Sustainability, 8(4), 385. doi:10.3390/su8040385Null, K. A., Knee, K. L., Crook, E. D., de Sieyes, N. R., Rebolledo-Vieyra, M., Hernández-Terrones, L., & Paytan, A. (2014). Composition and fluxes of submarine groundwater along the Caribbean coast of the Yucatan Peninsula. Continental Shelf Research, 77, 38-50. doi:10.1016/j.csr.2014.01.011Álvarez-Góngora, C., & Herrera-Silveira, J. A. (2006). Variations of phytoplankton community structure related to water quality trends in a tropical karstic coastal zone. Marine Pollution Bulletin, 52(1), 48-60. doi:10.1016/j.marpolbul.2005.08.006Carruthers, T. J. B., van Tussenbroek, B. I., & Dennison, W. C. (2005). Influence of submarine springs and wastewater on nutrient dynamics of Caribbean seagrass meadows. Estuarine, Coastal and Shelf Science, 64(2-3), 191-199. doi:10.1016/j.ecss.2005.01.015Monterrubio, J. C., Sosa, A. P., & Josiam, B. M. (2014). Spring break e impacto social en Cancún, México. Un estudio para la gestión del turismo. Turismo y Sociedad, 15, 149. doi:10.18601/01207555.n15.09Lee, Z.-P. (2005). A model for the diffuse attenuation coefficient of downwelling irradiance. Journal of Geophysical Research, 110(C2). doi:10.1029/2004jc002275Gordon, H. R., Brown, O. B., Evans, R. H., Brown, J. W., Smith, R. C., Baker, K. S., & Clark, D. K. (1988). A semianalytic radiance model of ocean color. Journal of Geophysical Research, 93(D9), 10909. doi:10.1029/jd093id09p10909Roesler, C. S., Perry, M. J., & Carder, K. L. (1989). Modeling in situ phytoplankton absorption from total absorption spectra in productive inland marine waters. Limnology and Oceanography, 34(8), 1510-1523. doi:10.4319/lo.1989.34.8.1510SMN (Servicio Meteorológico Nacional/National Metereological Service)http://smn.cna.gob.mx/es/climatologia/temperaturas-y-lluvias/resumenes-mensuales-de-temperaturas-y-lluviasCarstensen, J., Klais, R., & Cloern, J. E. (2015). Phytoplankton blooms in estuarine and coastal waters: Seasonal patterns and key species. Estuarine, Coastal and Shelf Science, 162, 98-109. doi:10.1016/j.ecss.2015.05.005Winder, M., & Cloern, J. E. (2010). The annual cycles of phytoplankton biomass. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1555), 3215-3226. doi:10.1098/rstb.2010.0125Cloern, J. E., & Jassby, A. D. (2008). Complex seasonal patterns of primary producers at the land-sea interface. Ecology Letters, 11(12), 1294-1303. doi:10.1111/j.1461-0248.2008.01244.xAthie, G. (2011). Yucatan Current variability through the Cozumel and Yucatan channels. Ciencias Marinas, 37(4A), 471-492. doi:10.7773/cm.v37i4a.1794Pérez, R., Muller-Karger, F. E., Victoria, I., Melo, N., & Cerdeira, S. (1999). Cuban, Mexican, U.S. Researchers probing mysteries of Yucatan Current. Eos, Transactions American Geophysical Union, 80(14), 153-158. doi:10.1029/99eo00104Merino, M. (1997). Upwelling on the Yucatan Shelf: hydrographic evidence. Journal of Marine Systems, 13(1-4), 101-121. doi:10.1016/s0924-7963(96)00123-6Beusen, A. H. W., Slomp, C. P., & Bouwman, A. F. (2013). Global land–ocean linkage: direct inputs of nitrogen to coastal waters via submarine groundwater discharge. Environmental Research Letters, 8(3), 034035. doi:10.1088/1748-9326/8/3/034035Pacheco Castro, R., Pacheco Ávila, J., Ye, M., & Cabrera Sansores, A. (2017). Groundwater Quality: Analysis of Its Temporal and Spatial Variability in a Karst Aquifer. Groundwater, 56(1), 62-72. doi:10.1111/gwat.12546Muñoz, J., Freile-Pelegrín, Y., & Robledo, D. (2004). Mariculture of Kappaphycus alvarezii (Rhodophyta, Solieriaceae) color strains in tropical waters of Yucatán, México. Aquaculture, 239(1-4), 161-177. doi:10.1016/j.aquaculture.2004.05.043Sebastiá, M.-T., Rodilla, M., Sanchis, J.-A., Altur, V., Gadea, I., & Falco, S. (2012). Influence of nutrient inputs from a wetland dominated by agriculture on the phytoplankton community in a shallow harbour at the Spanish Mediterranean coast. Agriculture, Ecosystems & Environment, 152, 10-20. doi:10.1016/j.agee.2012.02.006Enriquez, C., Mariño-Tapia, I. J., & Herrera-Silveira, J. A. (2010). Dispersion in the Yucatan coastal zone: Implications for red tide events. Continental Shelf Research, 30(2), 127-137. doi:10.1016/j.csr.2009.10.00

    Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) in Optically Complex Waters

    Full text link
    [EN] Phytoplankton blooms are sporadic events in time and are isolated in space. This complex phenomenon is produced by a variety of both natural and anthropogenic causes. Early detection of this phenomenon, as well as the classification of a water body under conditions of bloom or non-bloom, remains an unresolved problem. This research proposes the use of Inherent Optical Properties (IOPs) in optically complex waters to detect the bloom or non-bloom state of the phytoplankton community. An IOP index is calculated from the absorption coefficients of the colored dissolved organic matter (CDOM), the phytoplankton (phy) and the detritus (d), using the wavelength (lambda) 443 nm. The effectiveness of this index is tested in five bloom events in different places and with different characteristics from Mexican seas: 1. Dzilam (Caribbean Sea, Atlantic Ocean), a diatom bloom (Rhizosolenia hebetata); 2. Holbox (Caribbean Sea, Atlantic Ocean), a mixed bloom of dinoflagellates (Scrippsiella sp.) and diatoms (Chaetoceros sp.); 3. Campeche Bay in the Gulf of Mexico (Atlantic Ocean), a bloom of dinoflagellates (Karenia brevis); 4. Upper Gulf of California (UGC) (Pacific Ocean), a diatom bloom (Coscinodiscus and Pseudo-nitzschia) and 5. Todos Santos Bay, Ensenada (Pacific Ocean), a dinoflagellate bloom (Lingulodinium polyedrum). The diversity of sites show that the IOP index is a suitable method to determine the phytoplankton bloom conditions.CONACYT supported this research with a doctorate scholarship to Jesús A. Aguilar-Maldonado, with the announcement number 251025 in 2015. María-Teresa Sebastiá-Frasquet was a beneficiary of the BEST/2017/217 grant, supported by the Valencian Conselleria d Educació, Investigació, Cultura i Esport (Spain) during her stay at the Universidad Autónoma de Baja California (Mexico). Thanks are extended to the Strategic Action Program of the Gulf of Mexico Large Marine Ecosystem (GoM-LME), of the United Nations Industrial Development Organization (UNIDO).Aguilar-Maldonado, J.; Santamaría-Del-Ángel, E.; González-Silvera, A.; Cervantes-Rosas, OD.; López-Acuña, LM.; Gutiérrez-Magness, A.; Cerdeira, S.... (2018). Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) in Optically Complex Waters. Water. 10(2). https://doi.org/10.3390/w10020129S102Gower, J., King, S., Borstad, G., & Brown, L. (2005). Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer. International Journal of Remote Sensing, 26(9), 2005-2012. doi:10.1080/01431160500075857Carstensen, J., & Conley, D. J. (2004). Frequency, composition, and causes of summer phytoplankton blooms in a shallow coastal ecosystem, the Kattegat. Limnology and Oceanography, 49(1), 191-201. doi:10.4319/lo.2004.49.1.0191Legendre, L. (1990). The significance of microalgal blooms for fisheries and for the export of particulate organic carbon in oceans. Journal of Plankton Research, 12(4), 681-699. doi:10.1093/plankt/12.4.681Ji, R., Edwards, M., Mackas, D. L., Runge, J. A., & Thomas, A. C. (2010). Marine plankton phenology and life history in a changing climate: current research and future directions. Journal of Plankton Research, 32(10), 1355-1368. doi:10.1093/plankt/fbq062Richardson, K. (1997). Harmful or Exceptional Phytoplankton Blooms in the Marine Ecosystem. Advances in Marine Biology Volume 31, 301-385. doi:10.1016/s0065-2881(08)60225-4Smayda, T. J. (1997). What is a bloom? A commentary. Limnology and Oceanography, 42(5part2), 1132-1136. doi:10.4319/lo.1997.42.5_part_2.1132Brody, S. R., Lozier, M. S., & Dunne, J. P. (2013). A comparison of methods to determine phytoplankton bloom initiation. Journal of Geophysical Research: Oceans, 118(5), 2345-2357. doi:10.1002/jgrc.20167Platt, T., Fuentes-Yaco, C., & Frank, K. T. (2003). Spring algal bloom and larval fish survival. Nature, 423(6938), 398-399. doi:10.1038/423398bSchneider, B., Kaitala, S., & Maunula, P. (2006). Identification and quantification of plankton bloom events in the Baltic Sea by continuous pCO2 and chlorophyll a measurements on a cargo ship. Journal of Marine Systems, 59(3-4), 238-248. doi:10.1016/j.jmarsys.2005.11.003Gittings, J. A., Raitsos, D. E., Racault, M.-F., Brewin, R. J. W., Pradhan, Y., Sathyendranath, S., & Platt, T. (2017). Seasonal phytoplankton blooms in the Gulf of Aden revealed by remote sensing. Remote Sensing of Environment, 189, 56-66. doi:10.1016/j.rse.2016.10.043Huppert, A., Blasius, B., & Stone, L. (2002). A Model of Phytoplankton Blooms. The American Naturalist, 159(2), 156-171. doi:10.1086/324789Fleming, V., & Kaitala, S. (2006). Phytoplankton Spring Bloom Intensity Index for the Baltic Sea Estimated for the years 1992 to 2004. Hydrobiologia, 554(1), 57-65. doi:10.1007/s10750-005-1006-7Carstensen, J., Henriksen, P., & Heiskanen, A.-S. (2007). Summer algal blooms in shallow estuaries: Definition, mechanisms, and link to eutrophication. Limnology and Oceanography, 52(1), 370-384. doi:10.4319/lo.2007.52.1.0370Cetinić, I., Perry, M. J., D’Asaro, E., Briggs, N., Poulton, N., Sieracki, M. E., & Lee, C. M. (2015). A simple optical index shows spatial and temporal heterogeneity in phytoplankton community composition during the 2008 North Atlantic Bloom Experiment. Biogeosciences, 12(7), 2179-2194. doi:10.5194/bg-12-2179-2015Alikas, K., Kangro, K., & Reinart, A. (2010). Detecting cyanobacterial blooms in large North European lakes using the Maximum Chlorophyll Index. OCEANOLOGIA, 52(2), 237-257. doi:10.5697/oc.52-2.237Platt, T., Sathyendranath, S., White, G. N., Fuentes-Yaco, C., Zhai, L., Devred, E., & Tang, C. (2009). Diagnostic Properties of Phytoplankton Time Series from Remote Sensing. Estuaries and Coasts, 33(2), 428-439. doi:10.1007/s12237-009-9161-0Cui, T., Cao, W., Zhang, J., Hao, Y., Yu, Y., Zu, T., & Wang, D. (2013). Diurnal variability of ocean optical properties during a coastal algal bloom: implications for ocean colour remote sensing. International Journal of Remote Sensing, 34(23), 8301-8318. doi:10.1080/01431161.2013.833356Loisel, H., Vantrepotte, V., Norkvist, K., Mériaux, X., Kheireddine, M., Ras, J., … Moutin, T. (2011). Characterization of the bio-optical anomaly and diurnal variability of particulate matter, as seen from scattering and backscattering coefficients, in ultra-oligotrophic eddies of the Mediterranean Sea. Biogeosciences, 8(11), 3295-3317. doi:10.5194/bg-8-3295-2011Mercado, J. M., Ramírez, T., Cortés, D., Sebastián, M., Reul, A., & Bautista, B. (2006). Diurnal changes in the bio-optical properties of the phytoplankton in the Alborán Sea (Mediterranean Sea). Estuarine, Coastal and Shelf Science, 69(3-4), 459-470. doi:10.1016/j.ecss.2006.05.019Hernández-Terrones, L., Rebolledo-Vieyra, M., Merino-Ibarra, M., Soto, M., Le-Cossec, A., & Monroy-Ríos, E. (2010). Groundwater Pollution in a Karstic Region (NE Yucatan): Baseline Nutrient Content and Flux to Coastal Ecosystems. Water, Air, & Soil Pollution, 218(1-4), 517-528. doi:10.1007/s11270-010-0664-xMoore, Y. H., Stoessell, R. K., & Easley, D. H. (1992). Fresh-Water/Sea-Water Relationship Within a Ground-Water Flow System, Northeastern Coast of the Yucatan Peninsula. Ground Water, 30(3), 343-350. doi:10.1111/j.1745-6584.1992.tb02002.xBeddows, P. A., Smart, P. L., Whitaker, F. F., & Smith, S. L. (2007). Decoupled fresh–saline groundwater circulation of a coastal carbonate aquifer: Spatial patterns of temperature and specific electrical conductivity. Journal of Hydrology, 346(1-2), 18-32. doi:10.1016/j.jhydrol.2007.08.013Hernández-Terrones, L. M., Null, K. A., Ortega-Camacho, D., & Paytan, A. (2015). Water quality assessment in the Mexican Caribbean: Impacts on the coastal ecosystem. Continental Shelf Research, 102, 62-72. doi:10.1016/j.csr.2015.04.015Merrell, W. J., & Morrison, J. M. (1981). On the circulation of the western Gulf of Mexico with observations from April 1978. Journal of Geophysical Research, 86(C5), 4181. doi:10.1029/jc086ic05p04181Carriquiry, J. D., & Sánchez, A. (1999). Sedimentation in the Colorado River delta and Upper Gulf of California after nearly a century of discharge loss. Marine Geology, 158(1-4), 125-145. doi:10.1016/s0025-3227(98)00189-3Brusca, R. C., Álvarez-Borrego, S., Hastings, P. A., & Findley, L. T. (2017). Colorado River flow and biological productivity in the Northern Gulf of California, Mexico. Earth-Science Reviews, 164, 1-30. doi:10.1016/j.earscirev.2016.10.012Daesslé, L. W., Orozco, A., Struck, U., Camacho-Ibar, V. F., van Geldern, R., Santamaría-del-Angel, E., & Barth, J. A. C. (2017). Sources and sinks of nutrients and organic carbon during the 2014 pulse flow of the Colorado River into Mexico. Ecological Engineering, 106, 799-808. doi:10.1016/j.ecoleng.2016.02.018Orozco-Durán, A., Daesslé, L. W., Camacho-Ibar, V. F., Ortiz-Campos, E., & Barth, J. A. C. (2015). Turnover and release of P-, N-, Si-nutrients in the Mexicali Valley (Mexico): Interactions between the lower Colorado River and adjacent ground- and surface water systems. Science of The Total Environment, 512-513, 185-193. doi:10.1016/j.scitotenv.2015.01.016Aguilar-Maldonado, J. A., Santamaría-del-Ángel, E., & Sebastiá-Frasquet, M. T. (2017). Reflectances of SPOT multispectral images associated with the turbidity of the Upper Gulf of California. Revista de Teledetección, (50), 1. doi:10.4995/raet.2017.7795Cepeda-Morales, J. (2017). Response of primary producers to the hydrographic variability in the southern region of the California Current System. Ciencias Marinas, 40(2), 123-135. doi:10.7773/cm.v43i2.2752Delgadillo-Hinojosa, F., Camacho-Ibar, V., Huerta-Díaz, M. A., Torres-Delgado, V., Pérez-Brunius, P., Lares, L., … Castro, R. (2015). Seasonal behavior of dissolved cadmium and Cd/PO4 ratio in Todos Santos Bay: A retention site of upwelled waters in the Baja California peninsula, Mexico. Marine Chemistry, 168, 37-48. doi:10.1016/j.marchem.2014.10.010Durazo, R. (2005). Oceanographic conditions west of the Baja California coast, 2002?2003: A weak El Niño and subarctic water enhancement. Ciencias Marinas, 31(3), 537-552. doi:10.7773/cm.v31i3.43Linacre, L., Durazo, R., Hernández-Ayón, J. M., Delgadillo-Hinojosa, F., Cervantes-Díaz, G., Lara-Lara, J. R., … Bazán-Guzmán, C. (2010). Temporal variability of the physical and chemical water characteristics at a coastal monitoring observatory: Station ENSENADA. Continental Shelf Research, 30(16), 1730-1742. doi:10.1016/j.csr.2010.07.011Espinosa-Carreón, T. L., Gaxiola-Castro, G., Durazo, R., De la Cruz-Orozco, M. E., Norzagaray-Campos, M., & Solana-Arellano, E. (2015). Influence of anomalous subarctic water intrusion on phytoplankton production off Baja California. Continental Shelf Research, 92, 108-121. doi:10.1016/j.csr.2014.10.003Gutierrez-Mejia, E., Lares, M. L., Huerta-Diaz, M. A., & Delgadillo-Hinojosa, F. (2016). Cadmium and phosphate variability during algal blooms of the dinoflagellate Lingulodinium polyedrum in Todos Santos Bay, Baja California, Mexico. Science of The Total Environment, 541, 865-876. doi:10.1016/j.scitotenv.2015.09.081Santamaría-del-Ángel, E., Millán-Núñez, R., González-Silvera, A., Callejas-Jiménez, M., Cajal-Medrano, R., & Galindo-Bect, M. S. (2010). The response of shrimp fisheries to climate variability off Baja California, México. ICES Journal of Marine Science, 68(4), 766-772. doi:10.1093/icesjms/fsq186Hirata, T., Aiken, J., Hardman-Mountford, N., Smyth, T. J., & Barlow, R. G. (2008). An absorption model to determine phytoplankton size classes from satellite ocean colour. Remote Sensing of Environment, 112(6), 3153-3159. doi:10.1016/j.rse.2008.03.011Aiken, J., Hardman-Mountford, N. J., Barlow, R., Fishwick, J., Hirata, T., & Smyth, T. (2007). Functional links between bioenergetics and bio-optical traits of phytoplankton taxonomic groups: an overarching hypothesis with applications for ocean colour remote sensing. Journal of Plankton Research, 30(2), 165-181. doi:10.1093/plankt/fbm098Stuart, V., Sathyendranath, S., Platt, T., Maass, H., & Irwin, B. D. (1998). Pigments and species composition of natural phytoplankton populations: effect on the absorption spectra. Journal of Plankton Research, 20(2), 187-217. doi:10.1093/plankt/20.2.187Lohrenz, S. E. (2003). Phytoplankton spectral absorption as influenced by community size structure and pigment composition. Journal of Plankton Research, 25(1), 35-61. doi:10.1093/plankt/25.1.35Wu, J., Hong, H., Shang, S., Dai, M., & Lee, Z. (2007). Variation of phytoplankton absorption coefficients in the northern South China Sea during spring and autumn. Biogeosciences Discussions, 4(3), 1555-1584. doi:10.5194/bgd-4-1555-2007Millán-Núñez, E., & Millán-Núñez, R. (2010). Specific absorption coefficient and phytoplankton community structure in the southern region of the California Current during January 2002. Journal of Oceanography, 66(5), 719-730. doi:10.1007/s10872-010-0059-zHaywood, A. J., Steidinger, K. A., Truby, E. W., Bergquist, P. R., Bergquist, P. L., Adamson, J., & Mackenzie, L. (2004). COMPARATIVE MORPHOLOGY AND MOLECULAR PHYLOGENETIC ANALYSIS OF THREE NEW SPECIES OF THE GENUS KARENIA (DINOPHYCEAE) FROM NEW ZEALAND1. Journal of Phycology, 40(1), 165-179. doi:10.1111/j.0022-3646.2004.02-149.xQuijano-Scheggia, S. (2016). The inhibitory effect of a non-yessotoxin-producing dinoflagellate, Lingulodinium polyedrum (Stein) Dodge, towards Vibrio vulnificus and Staphylococcus aureus. Revista de Biología Tropical, 64(2), 805. doi:10.15517/rbt.v64i2.19320Holm-Hansen, O., & Riemann, B. (1978). Chlorophyll a Determination: Improvements in Methodology. Oikos, 30(3), 438. doi:10.2307/3543338Aguilar-Trujillo, A. C., Okolodkov, Y. B., Herrera-Silveira, J. A., Merino-Virgilio, F. del C., & Galicia-García, C. (2017). Taxocoenosis of epibenthic dinoflagellates in the coastal waters of the northern Yucatan Peninsula before and after the harmful algal bloom event in 2011–2012. Marine Pollution Bulletin, 119(1), 396-406. doi:10.1016/j.marpolbul.2017.02.074Ulloa, M. J., Álvarez-Torres, P., Horak-Romo, K. P., & Ortega-Izaguirre, R. (2017). Harmful algal blooms and eutrophication along the mexican coast of the Gulf of Mexico large marine ecosystem. Environmental Development, 22, 120-128. doi:10.1016/j.envdev.2016.10.007Liefer, J. D., Robertson, A., MacIntyre, H. L., Smith, W. L., & Dorsey, C. P. (2013). Characterization of a toxic Pseudo-nitzschia spp. bloom in the Northern Gulf of Mexico associated with domoic acid accumulation in fish. Harmful Algae, 26, 20-32. doi:10.1016/j.hal.2013.03.002Schnetzer, A., Miller, P. E., Schaffner, R. A., Stauffer, B. A., Jones, B. H., Weisberg, S. B., … Caron, D. A. (2007). Blooms of Pseudo-nitzschia and domoic acid in the San Pedro Channel and Los Angeles harbor areas of the Southern California Bight, 2003–2004. Harmful Algae, 6(3), 372-387. doi:10.1016/j.hal.2006.11.004Peña Manjarrez, J. (2009). Environmental factors influencing the variability of Lingulodinium polyedrum and Scrippsiella trochoidea (Dinophyceae) cyst production. Ciencias Marinas, 35(1), 1-14. doi:10.7773/cm.v35i1.1406Ruiz-de la Torre, M. C., Maske, H., Ochoa, J., & Almeda-Jauregui, Cã©. O. (2013). Correction: Maintenance of Coastal Surface Blooms by Surface Temperature Stratification and Wind Drift. PLoS ONE, 8(6). doi:10.1371/annotation/a2f49bbd-e226-4a15-900a-5946cff07d75Kudela, R. M., Bickel, A., Carter, M. L., Howard, M. D. A., & Rosenfeld, L. (2015). The Monitoring of Harmful Algal Blooms through Ocean Observing. Coastal Ocean Observing Systems, 58-75. doi:10.1016/b978-0-12-802022-7.00005-

    CIBERER : Spanish national network for research on rare diseases: A highly productive collaborative initiative

    Get PDF
    Altres ajuts: Instituto de Salud Carlos III (ISCIII); Ministerio de Ciencia e Innovación.CIBER (Center for Biomedical Network Research; Centro de Investigación Biomédica En Red) is a public national consortium created in 2006 under the umbrella of the Spanish National Institute of Health Carlos III (ISCIII). This innovative research structure comprises 11 different specific areas dedicated to the main public health priorities in the National Health System. CIBERER, the thematic area of CIBER focused on rare diseases (RDs) currently consists of 75 research groups belonging to universities, research centers, and hospitals of the entire country. CIBERER's mission is to be a center prioritizing and favoring collaboration and cooperation between biomedical and clinical research groups, with special emphasis on the aspects of genetic, molecular, biochemical, and cellular research of RDs. This research is the basis for providing new tools for the diagnosis and therapy of low-prevalence diseases, in line with the International Rare Diseases Research Consortium (IRDiRC) objectives, thus favoring translational research between the scientific environment of the laboratory and the clinical setting of health centers. In this article, we intend to review CIBERER's 15-year journey and summarize the main results obtained in terms of internationalization, scientific production, contributions toward the discovery of new therapies and novel genes associated to diseases, cooperation with patients' associations and many other topics related to RD research

    Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

    Full text link
    The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

    VIII Encuentro de Docentes e Investigadores en Historia del Diseño, la Arquitectura y la Ciudad

    Get PDF
    Acta de congresoLa conmemoración de los cien años de la Reforma Universitaria de 1918 se presentó como una ocasión propicia para debatir el rol de la historia, la teoría y la crítica en la formación y en la práctica profesional de diseñadores, arquitectos y urbanistas. En ese marco el VIII Encuentro de Docentes e Investigadores en Historia del Diseño, la Arquitectura y la Ciudad constituyó un espacio de intercambio y reflexión cuya realización ha sido posible gracias a la colaboración entre Facultades de Arquitectura, Urbanismo y Diseño de la Universidad Nacional y la Facultad de Arquitectura de la Universidad Católica de Córdoba, contando además con la activa participación de mayoría de las Facultades, Centros e Institutos de Historia de la Arquitectura del país y la región. Orientado en su convocatoria tanto a docentes como a estudiantes de Arquitectura y Diseño Industrial de todos los niveles de la FAUD-UNC promovió el debate de ideas a partir de experiencias concretas en instancias tales como mesas temáticas de carácter interdisciplinario, que adoptaron la modalidad de presentación de ponencias, entre otras actividades. En el ámbito de VIII Encuentro, desarrollado en la sede Ciudad Universitaria de Córdoba, se desplegaron numerosas posiciones sobre la enseñanza, la investigación y la formación en historia, teoría y crítica del diseño, la arquitectura y la ciudad; sumándose el aporte realizado a través de sus respectivas conferencias de Ana Clarisa Agüero, Bibiana Cicutti, Fernando Aliata y Alberto Petrina. El conjunto de ponencias que se publican en este Repositorio de la UNC son el resultado de dos intensas jornadas de exposiciones, cuyos contenidos han posibilitado actualizar viejos dilemas y promover nuevos debates. El evento recibió el apoyo de las autoridades de la FAUD-UNC, en especial de la Secretaría de Investigación y de la Biblioteca de nuestra casa, como así también de la Facultad de Arquitectura de la UCC; va para todos ellos un especial agradecimiento

    Neuroprogression: the hidden mechanism of depression

    No full text
    Norma A Labra Ruiz,1 Daniel Santamaría del Ángel,1 Hugo Juárez Olguín,2 Miroslava Lindoro Silva2 1Laboratory of Neurosciences, Instituto Nacional de Pediatria (INP), Mexico City, Mexico; 2Laboratory of Pharmacology, Instituto Nacional de Pediatría (INP), and Faculty of Medicine, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico Abstract: For many years, depressive disorder (DD) was considered a transient and natural disease of people´s mood. Its etiology had been attributed mainly to biochemical alterations of the monoamines and their receptors. Nevertheless, its prevalence and considerable impact on the family and social environment of those afflicted by it have placed the disease as a global public health problem. Neuroprogression is the term used to describe the changes in several psychiatric conditions evidenced and observed in the clinical manifestations, biochemical markers, and cerebral structures of the patients with major depressive disorder (MDD), which frequently overlap with neurodegenerative disorders. DD is considered a potentially aggressive state of neuronal deterioration involving apoptosis, reduced neurogenesis, decreased neuronal plasticity, and increased immune response. Clinically, it encompasses a poor response to treatment and an increase in depressive episodes, both of which bring about vulnerability and decline of functions associated with structural changes in the brain. The interest of this work is to review the metabolic processes involved in the morphologic alterations in the limbic system reported in patients with MDD, as well as the neurologic bases of this complex pathology that include environmental stress, genetic vulnerability, alterations in the neurotransmission, and changes in the neuroplasticity, all of which today bring into limelight a mechanism of progressive neuronal damage. Keywords: depressive disorder, monoamines, neuroprogression, neuroendocrin

    A suboxic chlorophyll-a maximum persists within the Pacific oxygen minimum zone off Mexico

    No full text
    8 pages, 2 tables, 7 figuresThe tropical Oxygen Minimum Zones (OMZ) are known to shelter a chlorophyll-a maximum (CM) within suboxic waters ( - 25 m year-round, which suggests that persistent low-light levels allow development of the suboxic-CM. The persistence of the suboxic-CM is consistent with its association with a stable microbial community. The effects on the ecosystem and biogeochemical cycles remain to be investigatedThe data used in this work were obtained in the oceanographic campaigns supported by the Consejo Nacional de Ciencia y Tecnologı́a (CONACyT) through the projects CONACyT-2015-02-100 and CONACyT-2014-236864-t. The main author is a fellow from CONACyT in the doctoral program at Centro Interdisiciplinario de Ciencias Marinas (CICIMAR). All oceanographic campaigns were supported by Consejo Nacional de Ciencia y Tecnología (CONACyT), Mexico, through the projects CONACyT-2015-02-100 and CONACyT-2014-236864-t. CONACyT Mexico also granted the main author during his PhD studies. Finally, the Laboratoire d’Etudes en Géophysique et Océanographie Spatiales (LEGOS) from France and from the Institut de Recherche pour le Développement from France gave financial support for an internship held in Touluse, FrancePeer reviewe

    Vertical distribution of calanoid copepods in a mature cyclonic eddy in the Gulf of California

    No full text
    22 pages, 6 figures, 1 tableThe distribution of calanoid copepod habitats in a cyclonic eddy in the Gulf of California was examined. Direct velocity observations revealed that the eddy extended to approximately 550 m depth and 150 km diameter. The established thermocline suggested that active vertical pumping was not occurring because the eddy was in mature phase. A copepod habitat located in the surface mixed layer, showed high abundances, dominated by Subeucalanus subtenuis (Giesbrecht, 1888), whose abundances decrease towards the centre of the eddy. A second habitat, situated in thermocline, had the highest abundances dominated by Nannocalanus minor (Claus, 1863) and Temora discaudata Giesbrecht, 1889. Another habitat, beneath the thermocline, was dominated by most of species recorded in thermocline, but with the lowest abundance. Results suggest that in the mature phase of a cyclonic eddy, the water column stratification induces layering of the calanoid copepod habitats, with the most propitious conditions for their feeding in thermoclineThis work was made possible thanks to the financial support of SEP-CONACyT (contracts 2014-236864, LSV; 2010-01-10017, ESA), and Fronteras de la Ciencia-CONACyT (contracts 2015-2-280, LSV)Peer reviewe

    Hydrographic and fish larvae distribution during the "Godzilla El Niño 2015-2016" in the northern end of the shallow oxygen minimum zone of the Eastern Tropical Pacific Ocean

    No full text
    15 pages, 5 tables, 7 figuresBased on hydrographic data and vertical distributions of tropical species of fish larvae (Diogenichthys laternatus, Vinciguerria lucetia, Bregmaceros bathymaster, and Auxis spp.), effects of “Godzilla El Niño 2015–2016” in the shallow oxygen minimum zone off Mexico were analyzed. Zooplankton samples were collected during four cruises, before (February 2010 and April 2012) and during (June 2015 and March 2016) the warm event. Temporal series of sea surface temperature revealed that June 2015 was the warmest June of the last years. Conservative temperature was >2°C higher than normal in the surface mixed layer, and the suboxic layer (4.4 µmol/kg) reached as shallow as 100 m depth. Unexpected results were that larval abundances were relatively high during the warm event, unlike zooplankton volumes, which declined. Before the warm event, V. lucetia and Auxis spp. were more abundant in the surface mixed layer, while B. bathymaster and D. laternatus dominated in the thermocline and shallow hypoxic layer (44 µmol/kg). However, during the event in June 2015, all species were most abundant in the surface mixed layer, which implied that the species adapted to hypoxia had inverted their normal pattern of distribution, possibly as consequence of the rise of the suboxic layer; however, further observations are required to confirm this generality. Results showed no dramatic change in the total larval abundance during the warm event. Nevertheless, a differential response in their vertical distribution was evident in association with changes in the depth of the shallow hypoxic and suboxic layers. This might indicate adaptability of tropical species to prolonged periods of warming in the oceans.This work was made possible thanks to the financial support of SEP-CONACyT (contracts 2014-236864, L. Sanchez-Velasco and 2011–168034-T, E. Beier) and Fronteras de la Ciencia-CONACyT (contracts 2015-2-280, L. Sanchez-Velasco).Peer reviewe

    Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index)

    No full text
    Phytoplankton blooms are sporadic events in time and isolated in space. This complex phenomenon is produced by a variety of both natural and anthropogenic causes. Early detection of this phenomenon, as well as the classification of a water body under conditions of bloom or non-bloom, remains an unresolved problem. This research proposes the use of Inherent Optical Properties (IOPs) in optically complex waters to detect the bloom or non-bloom state of the phytoplankton community. An IOP index is calculated from the absorption coefficients of the colored dissolved organic matter (CDOM), the phytoplankton (φ) and the detritus (d), using the wavelength (λ) 443 nm. The effectiveness of this index is tested in five bloom events in different places and with different characteristics from Mexican seas: (1) Dzilam (Caribbean Sea, Atlantic Ocean) a diatom bloom (Rhizosolenia hebetata); (2) Holbox (Caribbean Sea, Atlantic Ocean) a mixed bloom of dinoflagellates (Scrippsiella sp.) and diatoms (Chaetoceros sp.); (3) Campeche Bay in the Gulf of Mexico (Atlantic Ocean) a bloom of dinoflagellates (Karenia brevis); (4) Upper Gulf of California (UGC) (Pacific Ocean) a diatoms bloom (Planktoniella sol) and (5) Todos Santos Bay, Ensenada (Pacific Ocean) a dinoflagellates bloom (Lingulodinium polyedrum). The diversity of sites shows that the IOP index is a suitable method to determine the bloom conditions
    corecore