Pesticide residues on lettuce (Lactuca sativa L.) in Cundinamarca-Colombia.

Lettuce is Colombia's most widely cultivated leafy vegetable, but in the absence of good agricultural practices, there is the risk of some pesticide residues that affect its safety and quality. This work aimed to identify the pesticides used by farmers for the lettuce crop, the iceberg variety (Lactuca sativa var. capitata), in some municipalities of Cundinamarca (Colombia) and to investigate their residues by sampling and analysis. The farmers reported in the survey 44 active ingredients, most fungicides (54%), while the laboratory analysis showed 23 chemical compounds (52% insecticides, 39% fungicides and 9% herbicides). In addition, dithiocarbamates, procymidone and some organophosphates were among the active ingredients that exceeded the maximum residue limits (MRLs). About 80% of the identified pesticides were not registered with the regulatory entity Instituto Colombiano Agropecuario (ICA) for their use in lettuce, but some were in commercial products legally registered in Latin American and Caribbean countries.

Description of mesoscale pattern formation in shallow convective cloud fields by using time-dependent Ginzburg-Landau and Swift-Hohenberg stochastic equations.

The time-dependent Ginzburg-Landau (or Allen-Cahn) equation and the Swift-Hohenberg equation, both added with a stochastic term, are proposed to describe cloud pattern formation and cloud regime phase transitions of shallow convective clouds organized in mesoscale systems. The starting point is the Hottovy-Stechmann linear spatiotemporal stochastic model for tropical precipitation, used to describe the dynamics of water vapor and tropical convection. By taking into account that shallow stratiform clouds are close to a self-organized criticality and that water vapor content is the order parameter, it is observed that sources must have nonlinear terms in the equation to include the dynamical feedback due to precipitation and evaporation. The nonlinear terms are derived by using the known mean field of the Ising model, as the Hottovy-Stechmann linear model presents the same probability distribution. The inclusion of this nonlinearity leads to a kind of time-dependent Ginzburg-Landau stochastic equation, originally used to describe superconductivity phases. By performing numerical simulations, pattern formation is observed. These patterns are better compared with real satellite observations than the pure linear model. This is done by comparing the spatial Fourier transform of real and numerical cloud fields. However, for highly ordered cellular convective phases, considered as a form of Rayleigh-Bénard convection in moist atmospheric air, the Ginzburg-Landau model does not allow us to reproduce such patterns. Therefore, a change in the form of the small-scale flux convergence term in the equation for moist atmospheric air is proposed. This allows us to derive a Swift-Hohenberg equation. In the case of closed cellular and roll convection, the resulting patterns are much more organized than the ones obtained from the Ginzburg-Landau equation and better reproduce satellite observations as, for example, horizontal convective fields.

Pressures on La Lindosa, Guaviare: Land-Cover Change and Incidence of Fires Between 2012 and 2018 / Presiones ejercidas sobre la serranía de la lindosa, guaviare: cambios de cobertura e incidencia de fuegos entre 2012 y 2018

RESUMEN El cambio en el uso del suelo y el fuego como mecanismo utilizado para el mismo han creado perturbaciones ecológicas a grandes escalas, como lo son la fragmentación y aislamiento de ecosistemas importantes en paisajes tropicales. En el presente estudio, analizamos los cambios de uso del suelo entre los años 2012-2016 y los eventos de fuego entre los años 2016-2018, para identificar la dinámica de cambio espaciotemporal en la Serranía de la Lindosa, Guaviare, a partir de información oficial y sensores remotos. Para 2016 la cobertura boscosa se redujo en un 17 % correspondiendo con el aumento de vegetación secundaria y pastizales en el área. Los focos de fuego detectados estuvieron concentrados en el noroeste y sureste de la serranía, puntos coincidentes en zonas de bosque primario y zonas de pastizal consolidadas. Estos resultados indican que existe un proceso activo de deforestación en la serranía, que fragmenta la matriz boscosa dejando parches de bosque aislados, lo cual tendría repercusiones sobre la biodiversidad allí presente. Asimismo, la sinergia entre dicho proceso y el uso de fuego se muestra como amenaza constante, a diferentes escalas, sobre los diferentes ecosistemas. Esta información se presenta como herramienta para elaborar estrategias puntuales para evitar mayores repercusiones negativas sobre la serranía, que actualmente se encuentra en estado vulnerable.

ABSTRACT The change in land use and fire as a mechanism used for this change, have created ecological disturbances at large scales, such as the fragmentation and isolation of essential ecosystems within tropical landscapes. In the present study, we analyze the land-use changes along 2012-2016 and fire events between 2016-2018, to identify the dynamics of spatial-temporal change in the Serranía La Lindosa, Guaviare using official information and remote sensors. Forest cover was reduced by 17 %, during 2012-2016, corresponding to an increase in secondary vegetation and pastures in the area. The fire-hotspots detected were concentrated on the northwest and southeast of the mountain range, coinciding with areas of primary forest and consolidated pasture areas. These results show that there is an active process of deforestation in La Lindosa, leaving a fragmented matrix and isolated forest patches, which would have repercussions on the local biodiversity. Besides, the synergy between this process and the use of fire, represent a constant threat, at different scales, on the different ecosystems. This information is presented as a resource to elaborate punctual strategies in order to avoid greater negative repercussions on the mountain range area, which is currently in a vulnerable state.