Analysis of the Diversity of Megachilidae Bees on the Northern Subplateau of the Iberian Peninsula

In the western Mediterranean, 772 species of bees in the family Megachilidae have been reported. Special emphasis has been placed on the Iberian Peninsula, where to date 218 species are known. However, few intensive studies providing information about communities of Megachilidae have been carried out. Two earlier works cite 70 species; almost one third of those known on the Peninsula. With an aim of gaining insight into the structure of the communities of Megachilidae and the factors influencing them, an analysis was made of the alpha and beta diversity of different localities in the northern subplateau. Malaise traps (black and white) were used, and 559 specimens belonging to 55 species were identified of which most exhibited a nest-holder-type nesting habit. Abundance and richness were higher for white traps, although a considerable degree of complementarity was observed with the black traps. In the study zone, diversity can be considered medium-high with a phylogenetic diversity corresponding to stable populations. Regarding the composition of the Megachilidae communities, the influence of the landscape structure, of the microhabitat, and of the colour of the trap used to collect the specimens was detected. The following are recommended: (1) the use of both black and white traps, since they show high complementarity and offer different information about community structure, (2) homogenization of the samples in comparisons among communities, owing to the influence of the color of the trap, which masks the importance of ecological factors in community structuring, and (3) the collection of samples from at least two years previous, in view of the elevated “replacement” of species observed with species richness estimators

Modelling the potential impacts of climate change on the hydrology of the Aipe river basin in Huila, Colombia

[EN] The dynamics of a global world, and humans performing as a new geological force, require that an effort is undertaken to make robust decisions in order to devise strategies for the management and adaptation to climate change. This study aims to investigate the potential impact of climate change on the hydrology of the Aipe river basin in Huila, Colombia. The abcd Thomas model (four parameters) was calibrated and validated for the stream flows of the Aipe catchment (1992¿2012). The sensitivity and identifiability of the parameters were evaluated using the Monte Carlo Analysis Toolbox (MCAT). The results show the ability of the model to simulate the monthly stream flow (Nash¿Sutcliffe efficiency coefficient of 0,89). The most influential parameters are: a (water storage in the soil) and c (contribution to the aquifer). From the simulated scenarios, the baseline (1992¿2012) was estimated to be an average flow of 15,44 m3s¿1; the trend extrapolation scenario estimated a rate 13,79 m3s¿1 (¿10,64%); while for the multi-model assembly scenario it was 9,34 m3s¿1 (¿39,47%) and for the A2 scenario it was 5,74 m3s¿1 (¿62,60%). Lastly, we propose a set of strategies for adaptation to climate change that are committed to the integral management of water resources.[ES] La dinámica de un mundo global y el hombre como nueva fuerza geológica plantean la necesidad de tomar decisiones robustas, diseñar estrategias de manejo y de adaptarse al cambio climático. Este estudio investiga la respuesta hidrológica de la cuenca hidrográfica del río Aipe (688.9 km2 ), en Huila, Colombia, en acorde con los escenarios de cambio climático desde 2011 a 2040. El modelo hidrológico abcd de Thomas (4 parámetros) fue calibrado y validado comparando el caudal simulado y lo observado en el punto de cierre de la cuenca (en la estación Puente Carretera), usando series históricas mensuales (1992¿2012). Realizamos la evaluación de la sensibilidad e identificabilidad de los parámetros con la herramienta `Monte Carlo Analysis Toolbox¿ (MCAT). Los resultados muestran que el modelo es capaz de representar adecuadamente los caudales mensuales observados en el punto de desagüe de la cuenca, al encontrarse un índice de eficiencia de Nash¿Sutcliffe (NSE) de 0,89. Los parámetros más influyentes son a (almacenamiento del agua en el suelo) y c (aporte al acuífero). Con respecto a la simulación de los escenarios, la línea base (1992¿2012) estimó un caudal medio de 15,44 m3 s ¿1 ; el escenario de extrapolación de tendencias estimó un caudal de 13,79 m3 s ¿1 (¿10,64%); el escenario de ensamble multi-modelo de 9,34 m3 s ¿1 (¿39,47%) y el escenario A2 de 5,74 m3 s ¿1 (¿62,60%). Proponemos una batería de medidas de adaptación al cambio climático que buscan la gestión integral del recurso hídrico.Romero-Cuellar, J.; Buitrago-Vargas, A.; Quintero-Ruiz, T.; Francés, F. (2018). Simulación hidrológica de los impactos potenciales del cambio climático en la cuenca hidrográfica del río Aipe, en Huila, Colombia. RIBAGUA - Revista Iberoamericana del Agua. 5(1):63-78. https://doi.org/10.1080/23863781.2018.1454574S63785

Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic

This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic

Aspectos dinámicos de la visión: Seguimiento de objetos no rígidos y estimación de la rotación de una cámara

Resumen. Dentro del marco de la percepción aplicada a la robótica móvil autónoma, dos tareas son abordadas en este articulo: El seguimiento de un objeto móvil no rígido y la estimación del desplazamiento entre dos imágenes basado en el cambio de la escena percibida. Las principales contribuciones de este trabajo son de dos tipos: En el caso de la estimación del movimiento de la cámara, presentamos un método original, capaz de calcular la translación y rotación de los elementos en la imagen; gracias al cual es posible estabilizar el captor. Por otra parte, para el seguimiento de blanco se desarrollaron estrategias que reducen el tiempo de ejecución del algoritmo, lo que permite efectuar el seguimiento de diversos elementos

Counting people in crowds with a real-time network of simple image sensors

Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most vision-based counting techniques depend on detecting individuals in order to count, an unrealistic proposition in crowded settings. We propose an alternative approach that directly estimates the number of people. In our system, groups of image sensors segment foreground objects from the background, aggregate the resulting silhouettes over a network, and compute a planar projection of the scene’s visual hull. We introduce a geometric algorithm that calculates bounds on the number of persons in each region of the projection, after phantom regions have been eliminated. The computational requirements scale well with the number of sensors and the number of people, and only limited amounts of data are transmitted over the network. Because of these properties, our system runs in real-time and can be deployed as an untethered wireless sensor network. We describe the major components of our system, and report preliminary experiments with our first prototype implementation. 1