Las condiciones oceanográficas del océano Pacífico nororiental frente a Baja California (México) se estudian sistemáticamente mediante el programa Investigaciones Mexicanas de la Corriente de California (IMECOCAL), que es una extensión hacia el sur del programa California Cooperative Fisheries Investigations (CalCOFI). La síntesis de la información a largo plazo obtenida de estos programas Oceanographic conditions over the continental shelf off Magdalena Bay (Mexico) in 2011-2012 Condiciones oceanográficas en la plataforma continental frente a bahía Magdalena (México) en 2011-2012

The Tumaco multivariate index (TMI) is a multidecadal monthly index constructed with unique time series of sea surface temperature, surface air temperature and rain measured at Tumaco bay, in the southern Pacific coast of Colombia, and available since 1961. In this work, this index is re‐evaluated after the addition of in situ sea level data, and its properties for different standardization periods are compared against oceanic El Niño–Southern Oscillation (ENSO) and other derived indices. In particular, we propose a modified TMI, hereinafter referred as TMI4, whose potential to identify the expected sign and the amount of future variations of rain induced by ENSO events in Colombia is analysed for selected extreme episodes. Results indicate that after the inclusion of sea level data, TMI4 can anticipate the development of El Niño events before the ENSO 3 and some other sea surface temperature‐based regional indices, although its predictability depends on the ENSO type (canonical or Modoki). The explanation is that sea level includes new information into TMI4 on the onset of El Niño events. In particular, the signal of intraseasonal sea level anomalies carried by downwelling Kelvin waves is detected at Tumaco tide‐gauge. Moreover, the analysis of the differences, both in magnitude and spatial distribution, of rainfall anomalies induced by positive (El Niño) and negative (La Niña) ENSO events characterized by TMI4 are regionally presented. As a result, we find that TMI4 is especially suited for extensive northern and western areas of mainland Colombia. For completeness, in the appendix we briefly introduce the semi‐automated implementation of TMI4, including a visual interface, which is currently being tested by personnel within the operational oceanography area at Centro de Investigaciones Oceanográficas e Hidrográficas del Pacífico (Dimar‐CCCP).

Despite their impacts on ecosystems, climate, and human health, atmospheric emissions of mineral dust from deserts have been scarcely studied. This work estimated dust emission flux (E) between 1979 and 2014 from two desert regions in the Baja California Peninsula (BCP) using a modified dust parameterization scheme. Subsequently, we evaluated the processes controlling the variability of E at intra- and interannual scales. During the period 1979–2014 peak E were generally recorded in summer (San Felipe) and spring (Vizcaino), and the lowest emissions occurred in autumn (San Felipe) and winter (Vizcaíno). Intra- and interannual variability in E was associated with fluctuations in wind speed and direction, precipitation, and soil moisture, which, in turn, were controlled by the seasonal displacement of the North Pacific high-pressure center. Key drivers of the interannual variability of E are strong El Niño Southern Oscillation (ENSO) events. These climatic events and the hydrometeorological variables mentioned above played a major role in the onset and occurrence of dust events, with the highest annual emissions at Vizcaíno. Besides, a lag of 19 months (San Felipe) and 21 months (Vizcaino) was recorded between the occurrence of relevant E and ENSO events, apparently in response to the effect of this climatic event on precipitation. The climate variability of E in both desert regions was evidenced by the positive trends associated with increases in wind speed and air temperature, and with decreases in precipitation and soil moisture. Finally, our findings suggest that the BCP should be considered as a significant source of dust for the regional inventory of particulate matter emissions from the Earth’s surface.

Adequate water resources management includes understanding patterns and spatiotemporal variability of precipitation, as this variable is determinant for ecosystems’ stability, food security, and most human activities. Based on satellite estimations validated through ground measurements from 59 meteorological stations, the objective of this study is to evaluate the long-term spatiotemporal variability and trends of the average monthly precipitation in the Magdalena Department, Colombia, for the 1981–2018 period. This heterogeneous region comprises many different ecoregions in its 23,188 km2 area. The analysis of spatial variability allowed for the determination of four different subregions based on the differences in the average values of precipitation and the degree of rainfall variability. The trend analysis indicates that the current rainfall patterns contradict previous estimates of a progressive decrease in annual averages due to climate change in the study region, as most of the department does not exhibit statistically significant trends, except for the Sierra Nevada de Santa Marta area, where this study found reductions between 10 mm yr−1 and 30 mm yr−1. The findings of this study also suggest the existence of some links between precipitation patterns with regional phenomena of climate variability and solar activity.

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Tropical dry forests (TDFs) represent 42% of all tropical forests; they are extensive, but little is known of their structure and function. The fine litterfall represents the main route of circulation of organic materials and nutrients in these ecosystems. The objective of this study was to compare several remnants of TDFs located in contrasting landscape units—Mountain and Lomerio—and with different precipitation, in terms of the fluxes of organic materials to the soil, derived from the production of fine litterfall from the canopy. The fine litterfall (including woody material up to 2 cm in length) was collected monthly from April 2020 to March 2021, in 29 circular plots of 500 m2 randomly established. High rates of litterfall were recorded in the Lomerio landscape (4.9 Mg ha−1) than in the Mountain landscape (4.5 Mg ha−1). The monthly leaf litter production showed clear seasonal patterns, which were largely driven by the importance of the species in the landscape and the effect of precipitation during the study. Annual fine litter production observed in this study in comparison with other TDFs indicates relevant productivity levels, which contribute to the activation of biogeochemical cycles and improved ecosystem functionality.

La Ciénaga Grande de Santa Marta (CGSM) es un importante ecosistema para la biodiversidad del planeta. Las actividades antrópicas generan residuos e incrementan los niveles de contaminantes, afectando la calidad del agua, la salud de la población y del ambiente. Con el objetivo de determinar el contenido de metales pesados y calidad del agua de la CGSM, se analizaron muestras de agua, en nueve sitios para las variables temperatura, sólidos disueltos totales (STD), pH, conductividad eléctrica (CE), salinidad, NO3-, NH4+, PO43-, Ca+2, Mg+2, Na+, SO42-, CO32-, HCO3-, Ni, Cd, Cr, Pb, Coliformes totales y termotolerantes. La concentración de Pb, Cd, Cr y Ni fue más baja que el valor de referencia para agua marina. La máxima concentración de Pb y Cd, se presentó en el sitio 6, con 17,76 y 0,48ppb, respectivamente. La salinidad correlacionó con Ni (r = 0,98), pH con contenidos de Ni y Cr (r = 0,99 y 0,43, respectivamente), OD se asoció con concentración de Cd y Pb (r = 0,72 y 0,67, respectivamente), STD se encuentra asociado con NI y Cr (r = 0,97 y 0,56, respectivamente), DBO con concentración de Cd (r = 0,79). La concentración de metales pesados encontrados constituye una alerta para el ecosistema, debido a la posible biodisponibilidad ante algunas condiciones ambientales y, a la vez, son reflejo de afectación de variables de calidad del agua del estuario, con transporte de materia orgánica, sedimentos y aportes de nutrientes. Los valores elevados de CT y CF afectan la salud del ecosistema.