BUSCADOR RECOLECTA

10 Fotografías digitalizadas del Joven Ballet de Cámara de Madrid. Intérpretes Manuel Garzón y Carmela García en Je t'aime, Jellyfish, S.XVIII-S.XXI, En las sombra de un vals. Celebrada en 2005.

13 Fotografías digitalizadas del Joven Ballet de Cámara de Madrid. Gala Homenaje a Gades: Majísimo, Más allá del horizonte. Celebrada en Marzo de 2006.

13 Fotografías digitalizadas del Joven Ballet de Cámara de Madrid. Ballet Alicia y su país de las Maravillas. Funciones: viernes, sábado y domingo. Celebrado en Mayo de 2006.

1 Fotografía digitalizada del Joven Ballet de Cámara de Madrid. Cursos de Verano. 2005. San Lorenzo del Escorial (Madrid). Celebrado en Julio y Agosto de 2005.

1 Fotografía del Premio al Magisterio Artístico 2005, otorgado a Adolfo Roval. Celebrado en el año 2005.

Files contain information on flight parameters obtained from lesser kestrel (Falco naumanni) commuting flights or foraging trips (depending on the variable) and the mean values of those parameters per 6-hour interval. Data were collected using high-frequency GPS-dataloggers to track individual lesser kestrels from two breeding colonies in southern Spain. The study was conducted throughout the breeding season of 4 consecutive years (2011-2014). For additional information contact Jesús Hernández-Pliego, email: jhpliego@ebd.csic.es, Peer reviewed

Tri-axial accelerometry has proved to be a useful technique to study animal behavior with little direct observation, and also an effective way to measure energy expenditure, allowing a refreshing revisit to optimal foraging theory. This theory predicts that individuals should gain the most energy for the lowest cost in terms of time and energy when foraging, in order to maximize their fitness. However, during a foraging trip, central-place foragers could face different trade-offs during the commuting and searching parts of the trip, influencing behavioral decisions. Using the lesser kestrel (Falco naumanni) as an example we study the time and energy costs of different behaviors during the commuting and searching parts of a foraging trip. Lesser kestrels are small insectivorous falcons that behave as central-place foragers during the breeding season. They can commute by adopting either time-saving flapping flights or energy-saving soaring-gliding flights, and capture prey by using either time-saving active hovering flights or energy-saving perch-hunting. We tracked 6 lesser kestrels using GPS and tri-axial accelerometers during the breeding season. Our results indicate that males devoted more time and energy to flight behaviors than females in agreement with being the sex responsible for food provisioning to the nest. During the commuting flights, kestrels replaced flapping with soaring-gliding flights as solar radiation increased and thermal updrafts got stronger. In the searching part, they replaced perch-hunting with hovering as wind speed increased and they experienced a stronger lift. But also, they increased the use of hovering as air temperature increased, which has a positive influence on the activity level of the preferred prey (large grasshoppers). Kestrels maintained a constant energy expenditure per foraging trip, although flight and hunting strategies changed dramatically with weather conditions, suggesting a fixed energy budget per trip to which they adjusted their commuting and searching strategies in response to weather conditions, Peer reviewed

Global Positioning System (GPS) tags are nowadays widely used in wildlife tracking. This geolocation technique can suffer from fix loss biases due to poor satellite GPS geometry, that result in tracking data gaps leading to wrong research conclusions. In addition, new solar-powered GPS tags deployed on birds can suffer from a new “battery drain bias” currently ignored in movement ecology analyses. We use a GPS tracking dataset of bearded vultures (Gypaetus barbatus), tracked for several years with solar GPS tags, to evaluate the causes and triggers of fix and data retrieval loss biases. We compare two models of solar GPS tags using different data retrieval systems (Argos vs GSM-GPRS), and programmed with different duty cycles. Neither of the models was able to accomplish the duty cycle programed initially. Fix and data retrieval loss rates were always greater than expected, and showed non-random gaps in GPS locations. Number of fixes per month of tracking was a bad criterion to identify tags with smaller biases. Fix-loss rates were four times higher due to battery drain than due to poor GPS satellite geometry. Both tag models were biased due to the uneven solar energy available for the recharge of the tag throughout the annual cycle, resulting in greater fix-loss rates in winter compared to summer. In addition, we suggest that the bias found along the diurnal cycle is linked to a complex three-factor interaction of bird flight behavior, topography and fix interval. More fixes were lost when vultures were perching compared to flying, in rugged versus flat topography. But long fix-intervals caused greater loss of fixes in dynamic (flying) versus static situations (perching). To conclude, we emphasize the importance of evaluating fix-loss bias in current tracking projects, and deploying GPS tags that allow remote duty cycle updates so that the most appropriate fix and data retrieval intervals can be selected., No

Global warming and direct anthropogenic impacts, such as water extraction, are largely affecting water budgets in Mediterranean wetlands, thereby increasing wetland salinities and isolation, and decreasing water depths and hydroperiods (duration of the inundation period). These wetland features are key elements structuring waterbird communities. However, the ultimate and net consequences of these dynamic conditions on waterbird assemblages are largely unknown. We combined a regular sampling on waterbird presence through the 2008 annual cycle with in-situ data on these relevant environmental predictors of waterbird distribution to model habitat selection for 69 individual species in a typical Mediterranean wetland network in south-western Spain. Species association with environmental features were subsequently used to predict changes in habitat suitability for each species under three climate change scenarios (encompassing changes in environment that ranged from 10% to 50% change as predicted by climatic models). Waterbirds distributed themselves unevenly throughout environmental gradients and water salinity was the most important gradient structuring the distribution of the community. Environmental suitability for the guilds of diving birds and vegetation gleaners will be reduced according to future climate scenarios, while most small wading birds will benefit from changing conditions. Resident species and those that breed in this wetland network will be also more impacted than those using this area for wintering or stopover. We provide here a tool that can be used in a horizon-scanning framework to identify emerging issues on waterbird conservation and to anticipate suitable management actions, Peer reviewed

This GPS tracking data set includes migratory trajectories of 70 adults lesser kestrels (Falco naumanni) (40 females and 30 males). These birds provided 75 post-breeding and 66 pre-breeding migratory trips. We re-sampled all data to 1-hourly intervals (with deviations of 20 minutes). After re-sampling, we analysed 31,012 hourly segments. Birds were captured on 33 breeding sites across Spain (n= 58) and Italy (n=12) between 2014 and 2019 by different teams: SEO/BirdLife Spain, GREFA, LIFE ZEPA-URBAN, KESTRELS-MOVE, LIFE+Natura project “Un falco per amico”. The data were used for the first PhD thesis chapter of Lina López Ricaurte Y-5977410-T, framed under the KESTRELS-MOVE project directed by Dr Javier Bustamante. This chapter was entitled “Barrier crossings and winds shape daily travel schedules and speeds of a flight generalist” and was published in Scientific Reports, June 8 2021, DOI: https://doi.org/10.1038/s41598-021-91378-x. It is recommended to use R software to read the data (also available on Movebank under the study name: (SP-IT) Lesser Kestrel migration). The data matrix contains the following fields: "LON"← longitude "LAT" ← latitude "ID” ← device code (6 characters) "HEIGHT" ← altitude (when available) "POP” ← country of origin, it/sp "sex" ← m/f "date” ← YYYY-MM-DD "season" ← spring/autumn "year" "cycle"← combination of “season” and “year” "daynight" ← day/night "desert" ← criterion for selectin positions over the desert, 1/NA "sea" ← criterion for selectin positions over the sea, 1/NA "date_time” ← YYYY-MM-DD HH-MIN-SEC "Vwind" ← v-component of the wind vector (positive values towards east, negative towards west) “BLH” ← proxy for the availability and strength of thermal uplifts "Uwind" ← u-component of the wind vector (positive values towards east, negative towards west) "trip” ← combination of “ID”, “year” and “season” (s1 = spring, s2 = autumn) "w" ← wind strength "alfa" ← wind direction (in degrees relative to north) "sidewind" ← km/h "tailwind" ← km/h "dis" ← the distance between point i and i-1 "duration" "speed" ← the speed between point i and i-1 "day2" ← bird-day from sunrise to sunset "migrate” ← classify travel days (> 5 km/h) and rest days (< 5 km/h) "barrier" ← classify barrier=1 vs non-barrier= 0 "cov.type" ← categorical variable with three levels to classify among Desert, Land, Sea., External factors such as geography and weather strongly affect bird migration influencing daily travel schedules and flight speeds. For strictly thermal‑soaring migrants, weather explains most seasonal and regional differences in speed. Flight generalists, which alternate between soaring and flapping flight, are expected to be less dependent on weather, and daily travel schedules are likely to be strongly influenced by geography and internal factors such as sex. We GPS‑tracked the migration of 70 lesser kestrels (Falco naumanni) to estimate the relative importance of external factors (wind, geography), internal factors (sex) and season, and the extent to which they explain variation in travel speed, distance, and duration. Our results show that geography and tailwind are important factors in explaining variation in daily travel schedules and speeds. We found that wind explained most of the seasonal differences in travel speed. In both seasons, lesser kestrels sprinted across ecological barriers and frequently migrated during the day and night. Conversely, they travelled at a slower pace and mainly during the day over non‑barriers. Our results highlighted that external factors far outweighed internal factors and season in explaining variation in migratory behaviour of a flight generalist, despite its ability to switch between flight modes., Peer reviewed