BUSCADOR RECOLECTA

[EN] Egg size data for breeding Audouin's Gulls in the Ebro Delta during 1992-2021, with details on the age of the adults and clutch size., [ES] Datos de tamaño de huevo para la gaviota de Audouin nidificante en el Delta del Ebro durante 1992-2021, con detalles sobre la edad de los reproductores y tamaño de puesta., CIRIT (Generalitat de Catalunya, ACOM92/3051//10), ICONA, EU (LIFE projects (LIFE96/NAT/E/3118-B4-3200/96/502, LIFE NAT 2002/0502), Ministerio de Ciencia y Tecnología BOS2000-0569-C02-02, BOS2003-01960, CGL2006-04325/BOS, CGL2013-42203-R, CGL2017-85210-P), EU (Programme Quality of Life and Management of Living Resources, QLRT-2000-00839)., Peer reviewed

5 pages. -- Generating the simulated datasets. -- Testing the function. -- Additional tests. -- Fig. S1. Simulated datasets for 10 individuals., Peer reviewed

24 pages. -- Table S1: R functions developed specifically for this paper to test the effects of individual site fidelity, temporal and spatial variability in tracking data. The use of the functions and their arguments are described in detail. -- Table S2: summary of logger and deployment details for each colony, prior publication of the data used for this study, and permits and licences granted for the corresponding fieldwork. -- Table S3: number of individuals tracked repeatedly for each colony. -- Table S4: number of tracks per year and colony in the dataset used to run the year effect test (no repeated individuals). -- Table S5: population estimates from all breeding colonies of Cory’s, Scopoli’s and Cape Verde shearwaters available in the publisher literature. n refers to the number of tracks obtained from each colony. -- Figure S1: significant relationship between species inclusiveness values and longitude (top) and population size (breeding pairs) in the log scale (bottom) for Scopoli’s shearwater. -- Figure S2: schematic image of the main currents exploited by Cory’s and Scopoli’s shearwaters around the African continent., Peer reviewed

A tabular spreadsheet with the species, colony, unique identifiers for each bird and trip, latitude, longitude, year of tracking (1st year, 2nd year, etc.), and an ordering column that allows the positions to be ordered to form a track., on-breeding locations of Cory’s shearwaters (Calonectris borealis), Scopoli’s shearwaters (C. diomedea), and Cabo Verde shearwaters (C. edwardsii) tracked from the colonies of Berlenga, Chafarinas, Corvo, Faial, Graciosa, Montaña Clara, Pico, Selvagem, Sisargas, Terreros, Timanfaya, Veneguera, and Vila for Cory’s shearwaters; Cala Morell, Chafarinas, Filfla, Frioul, Giraglia, Gozo, Lavezzi, Linosa, Malta, Na Foradada, Na Pobra, Palomas, Pantaleu, Paximada, Porquerolles, Riou, Strofades, Tremiti, and Zembra for Scopoli’s shearwaters; and Curral Velho and Raso for Cabo Verde’s shearwaters. Animals were tracked between the years of 2006 and 2016, and data includes species, colony, unique identifiers for each bird and trip, latitude, longitude, year of tracking (1st year, 2nd year, etc.), and an ordering column that allows the positions to be ordered to form a track., Peer reviewed

8 pages. -- Table S1. Origin, team members, geographical location and year of the biometric measurements used in this study. [Origen, equipo, ubicación geográfica y año de las medidas biométricas utilizadas en este estudio.]. -- Table S2. The number of study colonies and adult Yellow-legged gulls measured per colony. [Número de colonias de estudio y gaviotas patiamarillas adultas medidas por colonia.]. -- Table S3. Means and standard deviations (SD) of all study variables for males and females from both regions. CA: Cantabrian-Atlantic; ME: Mediterranean. All measurements in mm. Sample sizes available for each variable in Figure 1. [Media y desviación estándar (DE) de todas las variables de estudio para machos y hembras de ambas regiones. CA: Cantábrico-Atlántico; ME: Mediterráneo. Todas las medidas en mm. Tamaños de muestra disponibles para cada variable en la Figura 1.]. -- Table S4. Results of the analysis of normality (Shapiro tests) for all study variables. CA: Cantabrian-Atlantic; MED: Mediterranean. [Resultados del análisis de normalidad (pruebas de Shapiro) para todas las variables de estudio. CA: Cantábrico-Atlántico; MED: Mediterráneo.]. -- Table S5. Results of the analysis of the homogeneity of the variances for all variables. CA: Cantabrian-Atlantic; MED: Mediterranean. [Resultados del análisis de homogeneidad de las varianzas para todas las variables. CA: Cantábrico-Atlántico; MED: Mediterráneo.]. -- Table S6. Correlation matrices (Pearson’s r) among study variables for males and females from both study regions. X indicates an estimation error in the correlation test due to the lack of sufficient finite observations. The strongest correlations are highlighted in bold. [Matrices de correlación (r de Pearson) entre variables de estudio para machos y hembras de ambas regiones de estudio. X indica un error de estimación en la prueba de correlación debido a la falta de suficientes observaciones finitas. Las correlaciones más fuertes se destacan en negrita.], Peer reviewed

Datasets supporting the results of the article “The importance of including survival release costs when assessing viability in reptile translocations”. The readme files contain information about each data column. Questions should be addressed to Albert Bertolero (albert.bertolero@gmail.com)., Translocations to restore populations of endangered species are an important conservation tool, but a reliable diagnosis is needed to assess their success. We used capture-recapture modeling to analyze the adult apparent survival of released and resident tortoises in two translocation projects in Spain monitored for 14 and 29 years. We tested if long-term survival rates differ between released and resident individuals, if survival was lower during the phase of establishment (i.e. release cost), how long acclimation lasts and if increased density due to releases affects survival. We found lower survival of released tortoises during the phase of establishment (1 to 3 years) when residents were already present. After establishment, survival was very high and unaffected by density-dependence. Body condition before release was similar between recaptured and dead/missing tortoises, and did not predict establishment survival. Stochastic population viability analysis showed that success when releasing small numbers of individuals strongly depends upon adult long-term survival. Release of small second batches of tortoises was not sensitive to a growing population, regardless of its release timing. Our results highlight long-term survival as crucial in translocation projects of long-lived species, invalidating short-term (first year) survival assessment, when survival release cost does not match long-term survival. A release cost of different duration should be included in model estimation before modeling predictions. Releasing tortoises (for welfare of captive individuals or for mitigating human negative impacts) in an already established population is not recommended under most circumstances. Acclimation cost is followed by survival approaching wild counterparts. If this milestone is not achieved, the project needs to be carefully assessed to adopt other management options or should be stopped altogether., Field work in the Ebro Delta and Minorca was partially funded by the Ebro Delta Natural Park, the Generalitat de Catalunya, the Institut Menorquí d'Estudis (IME), the Consell Insular de Menorca and the Spanish Ministry of Science and Technology (CICYT CGL2004-0473/BOS)., Peer reviewed

CMR dataset for Spanish Shags from Galicia and Asturias, CMR individual data, Peer reviewed

This dataset was used to analyze survival probabilities of adult Audouin’s gull depending on early conditions (density-dependence and Winter NAO) experienced by the individuals., Capture mark recapture data of Audouin gulls breeding from 1995 until 2009 in Mediterranean locations including Ebro Delta, Chafarinas Islands, Columbretes Islands and Mallorca islets in the Balearic Islands. Individuals are shown in rows and years in columns followed by the cohort on which they were born, and the environmental covariates associated to that year. This data set has been used for the publication: Payo-Payo, A.; Sanz-Aguilar, A. and Oro, D. (2022) Long-lasting effects of harsh early-life conditions on adult survival of a long-lived vertebrate. OIKOS., We acknowledge financial support through projects RESET (CGL2017-85210-P), IBISES (ref. CGL2013-42203-R) and MINOW (ref. H2020- 634495)., This work was funded through projects RESET (CGL2017-85210-P) and IBISES (ref. CGL2013-42203-R). APP was supported by a predoctoral fellowship of the Ministry of Education (FPU-AP 2012-0869). ASA is supported by a postdoctoral contract co-funded by the Regional Government of the Balearic Islands and the European Social Fund (ref. PD/003/2016) and a Ramón y Cajal fellowship ( Ref. RYC-2017- 22796)., The data file contains resight histories of Audouin’s gulls born at Ebro Delta and observed during breeding seasons 1995 to 2009. This file contains one line per individual; one column per encounter occasion (from column 1 to 15 were code 1 indicate resight at Ebro Delta colony and code 2 resight at other colony); one line indicating the number of individual capture histories (column 16); and three further columns indicating the standardized values of early life individual covariates (columns 17, 18, and 19; for DD, WNAO, and DD*WNAO, respectively)., No

Disentangling the influence of demographic parameters and the role of density dependence on species’ population dynamics may be challenging, especially when there are fractions of the population that are unobservable (e.g. dispersers, non-breeders). Additionally, due to the difficulty of gathering data at large spatial scales, most studies ignore the global dynamic of a species, which would integrate heterogeneity in local dynamics and remove the noise of dispersal. We developed a global scale, integrated population model (IPM), to disentangle the main demographic drivers of population dynamics in a long-lived colonial seabird. We used 28 years of Audouin’s gull demographic data encompassing 69 local patches (90% of the world population). Importantly, we took into account the unobservable fraction of non-breeders and also assessed the strength of density dependence for this fraction of the population. As predicted by life histories of long-lived organisms, temporal random variation in survival was highest for immatures (), and lowest for adults (). Large temporal fluctuations in the probability of taking a sabbatical from reproduction would partly explain constancy in adult survival, adults probably refraining from breeding when environmental conditions were harsh. Thus, skipping breeding would be a bet hedging strategy for long-lived organisms having many reproductive chances during their lifespan. Immature survival and fertility were the main drivers of population dynamics during the study period (r2= 0.83 (0.77-0.87) and 0.73 (0.63-0.79) respectively). We found strong evidence of density dependence, not only due to the number of breeders (r2= -0.34 (-0.43 -0.24)) but also to that of sabbaticals (r2= -0.18 (-0.33 -0.01)). Even though population dynamics of long-lived organisms are very sensitive to changes in adult survival, we show here that in the absence of strong environmental perturbations affecting this life history trait, fluctuations in population density in those species may be driven by variations of immature survival and fertility. The species is showing a 5% of annual global decrease during the last ten years, and we propose an updated species conservation status. Integrated models based on long term monitoring at a global scale may enhance our ecological and evolutionary understanding of how demographic drivers influence population dynamics., No

Peer reviewed