A reconstructed database of historic bluefin tuna captures in the Gibraltar Strait and Western Mediterranean

This data paper presents a reconstruction of a compilation of a small but consistent database of historical capture records of bluefin tuna (Thunnus thynnus; BFT hereafter) from the Gibraltar Strait and Western Mediterranean (Portugal, Spain and Italy). The compilation come from diverse historical and documentary sources and span the time interval from 1525 to 1936 covering a period of 412 years. There is a total of 3074 datum, which reach up to 67.83% of the total implying a 32.17% of missing data. However, we have only reconstructed the captures for the time interval 1700 1936 and we provide these reconstructions only for this time interval and for 9 out of 11 series due to the scarcity and inhomogeneity of the two oldest capture time series. This reconstructed database provides an invaluable opportunity for fisheries and marine research as well as for multidisciplinary research in climate change. © 2017 The AuthorsJ.M.P.M. was funded by a Basque Government post-doctoral fellowship. A. M. Caballero-Alfonso was funded by the Spanish Ministry of Education, Culture and Sports

Southward re‐distribution of tropical tuna fisheries activity can be explained by technological and management change

There is broad evidence of climate change causing shifts in fish distribution worldwide, but less is known about the response of fisheries to these changes. Responses to climate‐driven shifts in a fishery may be constrained by existing management or institutional arrangements and technological settings. In order to understand how fisheries are responding to ocean warming, we investigate purse seine fleets targeting tropical tunas in the east Atlantic Ocean using effort and sea surface temperature anomaly (SSTA) data from 1991 to 2017. An analysis of the spatial change in effort using a centre of gravity approach and empirical orthogonal functions is used to assess the spatiotemporal changes in effort anomalies and investigate links to SSTA. Both analyses indicate that effort shifts southward from the equator, while no clear pattern is seen northward from the equator. Random forest models show that while technology and institutional settings better explain total effort, SSTA is playing a role when explaining the spatiotemporal changes of effort, together with management and international agreements. These results show the potential of management to minimize the impacts of climate change on fisheries activity. Our results provide guidance for improved understanding about how climate, management and governance interact in tropical tuna fisheries, with methods that are replicable and transferable. Future actions should take into account all these elements in order to plan successful adaptation.Ministerio de Economía y Competitividad|Ref. MDM-2017-0714Eusko Jaurlaritza|Ref. BERC 2018-202

A reconstructed database of historic bluefin tuna captures in the Gibraltar Strait and Western Mediterranean

This data paper presents a reconstruction of a compilation of a small but consistent database of historical capture records of bluefin tuna (Thunnus thynnus; BFT hereafter) from the Gibraltar Strait and Western Mediterranean (Portugal, Spain and Italy). The compilation come from diverse historical and documentary sources and span the time interval from 1525 to 1936 covering a period of 412 years. There is a total of 3074 datum, which reach up to 67.83% of the total implying a 32.17% of missing data. However, we have only reconstructed the captures for the time interval 1700–1936 and we provide these reconstructions only for this time interval and for 9 out of 11 series due to the scarcity and inhomogeneity of the two oldest capture time series. This reconstructed database provides an invaluable opportunity for fisheries and marine research as well as for multidisciplinary research in climate change. Keywords: Data reconstructions, DINEOF, Missing data, Historic Bluefin tuna captures, Gibraltar Strait and Western Mediterranea

Coastal water circulation response to radiational and gravitational tides within the southeastern Bay of Biscay

The Basque coastal area, in the southeastern Bay of Biscay, can be characterised as being strongly influenced by land climate. This, together with the presence of irregular and steep topography, complicates considerably the coastal water circulation patterns. Time-series of hourly currents, surface atmospheric pressure and wind data were analysed for two coastal stations. This research quantified the contribution of gravitational and radiational tides (breezes and solar atmospheric tides) to the coastal water circulation. Moreover, the spatial and seasonal differences in such processes were determined. This investigation has revealed that radiational tides induce diurnal and semidiurnal water motions. These exist together with higher frequency diurnal harmonics caused by anharmonic radiational wind forcing. The radiational forcing contributed similarly to water motion at the stations. The radiational currents varied seasonally, accounting for 20% and 8% of the total kinetic energy in summer and winter, respectively. In comparison, the gravitational currents were more pronounced in the station affected by estuarine dynamics

Reconstruction of sea surface temperature by means of DINEOF: a case study during the fishing season in the Bay of Biscay

The Spanish surface fishery operates mainly during the summer season in the waters of the Bay of Biscay. Sea surface temperature (SST) data recovered from satellite images are being used to improve the operational efficiency of fishing vessels (e.g. reduce search time and increase catch rate) and to improve the understanding of the variations in catch distribution and rate needed to properly manage fisheries. The images used for retrieval of SST often present gaps due to the existence of clouds or satellite malfunction periods. The data gaps can totally or partially affect the area of interest. Within this study, an application of a technique for the reconstruction of missing data called DINEOF (data interpolating empirical orthogonal functions) is analysed, with the aim of testing its applicability in operational SST retrieval during summer months. In this case study, the Bay of Biscay is used as the target area. Three months of SST Moderate Resolution Imaging Spectroradiometer (MODIS) images, ranging from 1 May 2006 to 31 July 2006, were used. The main objective of this work is to test the overall performance of this technique, under potential operational use for the support of the fleet during the summer fishing season. The study is designed to analyse the sensitivity of the results of this technique to several details of the methodology used in the reconstruction of SST, such as the number of empirical orthogonal functions (EOFs) retained, the handling of the seasonal cycle or the length (number of images) of the SST database used. The results are tested against independent SST data from International Comprehensive Ocean–Atmosphere Data Set (ICOADS) ship reports and standing buoys and estimations of the error of the reconstructed SST fields are given. Conclusions show that over this area three months of data are enough for efficient SST reconstruction, which yields four EOFs as the optimal number needed for this case study. An extended EOF experiment with SST and SST with a lag of one day was carried out to analyse whether the autocorrelation of the SST data allows better performance in the SST reconstruction, although theexperiment did not improve the results. The validation studies show that the reconstructed SSTs can be trusted, even when the amount of missing data is very high. The mean absolute deviation maps show that the error is greatest near to the coast and mainly in the upwelling areas close to the French and north-western Spanish coasts

Knowledge and technology: The challenge of knowledge transfer for quality nursing care.

En el proceso de la transferencia a la práctica clínica del conocimiento y la evidencia que arroja la investigación científica, el papel de la enfermería es determinante. Y para optimizar ese rol, es necesario que se produzca una ampliación de las competencias de estos profesionales para adaptarse tanto al nuevo marco asistencial, enfocado cada vez más hacia una “cultura de la evidencia”, como a las necesidades de salud por parte de la población. Para analizar desde diferentes perspectivas este nuevo escenario que se abre a los profesionales de enfermería, los logros alcanzados en los últimos tiempos, los principales retos de futuro y las estrategias que han demostrado ser más exitosas en este sentido, la Fundación para el Desarrollo de la Enfermería (FUDEN), la Facultad de Enfermería, Fisioterapia y Podología de la Universidad Complutense de Madrid y Elsevier organizaron el pasado 27 de octubre el evento “Conocimiento y tecnología: el reto de la transferencia para el cuidado enfermero de calidad”, celebrado en la sede de FUDEN (Madrid), en el marco de un panel de expertos del contexto clínico y de gestión, así como de las áreas de docencia y de investigación. Informe sobre las conclusiones del evento organizado por Elsevier, la Fundación para el Desarrollo de la Enfermería (FUDEN) y la Facultad de Enfermería, Fisioterapia y Podología de la Universidad Complutense de Madrid, en Madrid el 27 de octubre de 2022 .Fac. de Enfermería, Fisioterapia y PodologíaFALSEsubmitte

Reconstruction of spatiotemporal capture data by means of orthogonal functions: the case of skipjack tuna (Katsuwonus pelamis) in the Central-east Atlantic

The information provided by the International Commission for the Conservation of Atlantic Tunas (ICCAT) about captures of skipjack tuna (Katsuwonus pelamis) in the Central-east Atlantic has a number of limitations, such as gaps in the statistics for certain fleets or the level of spatiotemporal detail at which catches are reported. As a result, the quality of such data and their effectiveness for providing management advice is limited. In order to reconstruct missing spatial-temporal data of catches, the present study uses Data INterpolating Empirical Orthogonal Functions (DINEOF), a technique for missing data reconstruction applied here for first time to fisheries data. DINEOF is based on an Empirical Orthogonal Functions (EOF) decomposition performed with a Lanczos method. DINEOF was tested with different amounts of missing data, intentionally removing values from 3.4% to 95.2% of data loss, and then compared to the same data set with no missing data. These validation analyses show that DINEOF is a reliable methodological approach of data reconstruction for the purposes of fishery management advice, even when the amount of missing data is very high