Elaboración de un mapa de lixiviación de nitratos mediante una metodología de acople SIG-modelo de simulación : aplicación al acuífero de La Aldea (Gran Canaria)

[ES] La contaminación difusa por nitrato constituye una de las mayores amenazas actuales para la calidad de las aguas subterráneas. De hecho, varias directivas europeas, nacionales y regionales se han legislado con el fin de minimizar el efecto de las prácticas agrarias en la contaminación de los acuíferos por nitratos. El acuífero de La Aldea (Gran Canaria, España) se ha declarado como vulnerable a la contaminación por nitrato según dichas normas. En este estudio se presenta una metodología para desarrollar el acople de un sistema de información geográfica-SIG con el modelo de simulación de nitrato GLEAMS. Esta herramienta permite calcular la cantidad de nitrato lixiviado procedente de los cultivos de tomate bajo invernadero y da la oportunidad de simular otros rangos de fertilización para minimizar el riesgo de contaminación de las aguas subterráneas. Se comprueba que la pérdida de nitrato por lixiviación en la zona a partir de dichos cultivos podía llegar a los 500 kg N/ha, casi un 62% del aportado como fertilizante mineral en un manejo tradicional. Por ello, se aconseja la aplicación de las recomendaciones de abonado incluidas en el código de buenas prácticas agrarias de Canarias o cualquier otro sistema de recomendación de abonado mineral para reducir estas pérdidas, minimizando de esta forma el riesgo de contaminación de las aguas subterráneas. ABSTRACT: Nitrate diffuse pollution is one of the main risks that affect the groundwater quality. Several european directives, national and regional guidelines have been enacted to protect the aquifers against the effect of the agricultural management practices. The “La Aldea” aquifer was declared nitrate vulnerable area following these laws. In this study a methodology was developed to link a Geographical Information System (GIS) with a nitrogen simulation model (GLEAMS) in this area. This tool allows to assess the amount of nitrate leaching that coming from the traditional nitrogen fertilization rates in greenhouses tomato crops, and gives the opportunity to simulate other fertilization rates to reduce the risk of groundwater pollution. The nitrate leaching reached to 500 kg N/ha in several zones of the study area, that represent the 62% of the nitrogen fertiliser apply in a traditional management. It was recommended the application of the Code of Good Management Practices or other recommendation system to decrease the nitrate leaching, in order to reduce the risk of groundwater pollution.

Database of diazotrophs in global ocean: abundances, biomass and nitrogen fixation rates

[EN] Marine N2 fixing microorganisms, termed diazotrophs, are a key functional group in marine pelagic ecosystems. The biological fixation of dinitrogen (N2) to bioavailable nitrogen provides an important new source of nitrogen for pelagic marine ecosystems 5 and influences primary productivity and organic matter export to the deep ocean. As one of a series of efforts to collect biomass and rates specific to different phytoplankton functional groups, we have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling about 12 000 direct field measurements of cyanobacterial diazotroph abundances (based on microscopic cell counts or qPCR 10 assays targeting the nifH genes) and N2 fixation rates. Biomass conversion factors are estimated based on cell sizes to convert  abundance data to diazotrophic biomass. The database is limited spatially, lacking large regions of the ocean especially in the Indian Ocean. The data are approximately log-normal distributed, and large variances exist in most sub-databases with non-zero values differing 5 to 8 orders of magnitude. 15 Lower mean N2 fixation rate was found in the North Atlantic Ocean than the Pacific Ocean. Reporting the geometric mean and the range of one geometric standard error below and above the geometric mean, the pelagic N2 fixation rate in the global ocean is estimated to be 62 (53–73) TgNyr−1 and the pelagic diazotrophic biomass in the global ocean is estimated to be 4.7 (2.3–9.6) TgC from cell counts and to 89 (40–20 200) TgC from nifH-based abundances. Uncertainties related to biomass conversion factors can change the estimate of geometric mean pelagic diazotrophic biomass in the global ocean by about ±70 %. This evolving database can be used to study spatial and temporal distributions and variations of marine N2 fixation, to validate geochemical estimates and to parameterize and validate biogeochemical models. The database is 25 stored in PANGAEA (http://doi.pangaea.de/10.1594/PANGAEA.774851).