7 research outputs found

    The relictual population of the purple clam Amiantis Purpurata (l.) in northern Patagonia (Argentina): the history of a warm-temperate-water neogene survivor

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    The purple clam Amiantis purpurata (Lamarck) is a warm-temperate species inhabiting shallow water along the coast from Espiritu Santo (Brazil) to northern Patagonia. It is one of the few survivors of the middle–late Miocene faunal turnover which was characterized by the appearance of new taxa, most of them living now along the Argentinean coast. In order to study the biogeographic history of A. purpurata, a detailed review of its records was carried out. The oldest record of this species is from late Miocene rocks in Uruguay, and it appears that A. purpurata survived because its wide thermal tolerance range allowed larvae to migrate southwards from Uruguay, settling on the southern coast of Buenos Aires Province and San MatĂ­as Gulf. The characteristics of this gulf would have favored the development and settlement of the larvae, thus giving rise to the most abundant southern population during the Pleistocene. At the end of the Pleistocene, A. purpurata also survived the Last Glacial Maximum. During the Holocene, the population of A. purpurata in San MatĂ­as Gulf became isolated, but also represented the most abundant southern population of this species. During its brief Neogene history, Amiantis purpurata followed main global, regional and local events; thus it can be considered as an environmental indicator for this period.La almeja pĂșrpura Amiantis purpurata (Lamarck) es una especie de aguas templado-cĂĄlidas que habita en aguas poco profundas desde EspĂ­ritu Santo (Brasil) hasta el norte de Patagonia. Es uno de los pocos sobrevivientes del intercambio faunĂ­stico del Mioceno medio–tardĂ­o, que se caracterizĂł por la apariciĂłn de nuevos taxa, la mayorĂ­a de ellos vivientes en la actualidad a lo largo de la costa argentina. Con el fin de reconstruir su historia biogeogrĂĄfica, se llevĂł a cabo una revisiĂłn detallada de los registros. El registro mĂĄs antiguo de A. purpurata proviene del Mioceno tardĂ­o en Uruguay, y sobreviviĂł debido a su amplia tolerancia tĂ©rmica lo que habrĂ­a permitido que las larvas migren desde Uruguay hacia el sur, donde se establecieron en la costa sur de la Provincia de Buenos Aires y en el Golfo San MatĂ­as. AdemĂĄs, las caracterĂ­sticas de este golfo han impulsado el desarrollo y asentamiento de las larvas, lo que darĂ­a lugar a la poblaciĂłn mĂĄs abundante situada mĂĄs al sur durante el Pleistoceno. Al final del Pleistoceno, A. purpurata tambiĂ©n sobreviviĂł al Último MĂĄximo Glacial y, una vez en el Holoceno, la poblaciĂłn de A. purpurata del Golfo San MatĂ­as quedĂł aislada, lo que representa la poblaciĂłn mĂĄs abundante y austral de esta especie. A lo largo de su breve historia geolĂłgica durante el NeĂłgeno, Amiantis purpurata acompañó a los principales acontecimientos ocurridos a escala global, regional y local; por lo tanto, esta especie puede ser considerada como un indicador ambiental para este perĂ­odo.Fil: Bayer, MarĂ­a Sol. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico CĂłrdoba. Centro de Investigaciones en Ciencias de la Tierra; ArgentinaFil: Gordillo, Sandra. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico CĂłrdoba. Centro de Investigaciones En Ciencias de la Tierra; ArgentinaFil: MorsĂĄn, Enrique . Instituto de BiologĂ­a Marina y Pesquera Almirante Storni; Argentin

    Examining the generalizability of research findings from archival data.

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    This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability-for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples

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