@misc{WestburyBalekaBarlowetal.2017, author = {Westbury, Michael V. and Baleka, Sina Isabelle and Barlow, Axel and Hartmann, Stefanie and Paijmans, Johanna L. A. and Kramarz, Alejandro and Forasiepi, Anal{\´i}a M. and Bond, Mariano and Gelfo, Javier N. and Reguero, Marcelo A. and L{\´o}pez-Mendoza, Patricio and Taglioretti, Matias and Scaglia, Fernando and Rinderknecht, Andr{\´e}s and Jones, Washington and Mena, Francisco and Billet, Guillaume and de Muizon, Christian and Aguilar, Jos{\´e} Luis and MacPhee, Ross D.E. and Hofreiter, Michael}, title = {A mitogenomic timetree for Darwin's enigmatic South American mammal Macrauchenia patachonica}, series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, number = {793}, issn = {1866-8372}, doi = {10.25932/publishup-44080}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-440801}, pages = {8}, year = {2017}, abstract = {The unusual mix of morphological traits displayed by extinct South American native ungulates (SANUs) confounded both Charles Darwin, who first discovered them, and Richard Owen, who tried to resolve their relationships. Here we report an almost complete mitochondrial genome for the litoptern Macrauchenia. Our dated phylogenetic tree places Macrauchenia as sister to Perissodactyla, but close to the radiation of major lineages within Laurasiatheria. This position is consistent with a divergence estimate of B66Ma (95\% credibility interval, 56.64-77.83 Ma) obtained for the split between Macrauchenia and other Panperissodactyla. Combined with their morphological distinctiveness, this evidence supports the positioning of Litopterna (possibly in company with other SANU groups) as a separate order within Laurasiatheria. We also show that, when using strict criteria, extinct taxa marked by deep divergence times and a lack of close living relatives may still be amenable to palaeogenomic analysis through iterative mapping against more distant relatives.}, language = {en} } @article{WestburyBalekaBarlowetal.2017, author = {Westbury, Michael V. and Baleka, Sina Isabelle and Barlow, Axel and Hartmann, Stefanie and Paijmans, Johanna L. A. and Kramarz, Alejandro and Forasiepi, Analia M. and Bond, Mariano and Gelfo, Javier N. and Reguero, Marcelo A. and Lopez-Mendoza, Patricio and Taglioretti, Matias and Scaglia, Fernando and Rinderknecht, Andres and Jones, Washington and Mena, Francisco and Billet, Guillaume and de Muizon, Christian and Luis Aguilar, Jose and MacPhee, Ross D. E. and Hofreiter, Michael}, title = {A mitogenomic timetree for Darwin's enigmatic South American mammal Macrauchenia patachonica}, series = {Nature Communications}, volume = {8}, journal = {Nature Communications}, publisher = {Nature Publ. Group}, address = {London}, issn = {2041-1723}, doi = {10.1038/ncomms15951}, pages = {8}, year = {2017}, abstract = {The unusual mix of morphological traits displayed by extinct South American native ungulates (SANUs) confounded both Charles Darwin, who first discovered them, and Richard Owen, who tried to resolve their relationships. Here we report an almost complete mitochondrial genome for the litoptern Macrauchenia. Our dated phylogenetic tree places Macrauchenia as sister to Perissodactyla, but close to the radiation of major lineages within Laurasiatheria. This position is consistent with a divergence estimate of B66Ma (95\% credibility interval, 56.64-77.83 Ma) obtained for the split between Macrauchenia and other Panperissodactyla. Combined with their morphological distinctiveness, this evidence supports the positioning of Litopterna (possibly in company with other SANU groups) as a separate order within Laurasiatheria. We also show that, when using strict criteria, extinct taxa marked by deep divergence times and a lack of close living relatives may still be amenable to palaeogenomic analysis through iterative mapping against more distant relatives.}, language = {en} } @article{ValesDiasRioetal.2014, author = {Vales, Dina and Dias, Nuno A. and Rio, Ines and Matias, Luis and Silveira, Graca and Madeira, Jose and Weber, Michael H. and Carrilho, Fernando and Haberland, Christian}, title = {Intraplate seismicity across the Cape Verde swell: A contribution from a temporary seismic network}, series = {Tectonophysics : international journal of geotectonics and the geology and physics of the interior of the earth}, volume = {636}, journal = {Tectonophysics : international journal of geotectonics and the geology and physics of the interior of the earth}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0040-1951}, doi = {10.1016/j.tecto.2014.09.014}, pages = {325 -- 337}, year = {2014}, abstract = {We present an analysis and characterization of the regional seismicity recorded by a temporary broadband seismic network deployed in the Cape Verde archipelago between November 2007 and September 2008. The detection of earthquakes was based on spectrograms, allowing the discrimination from low-frequency volcanic signals, resulting in 358 events of which 265 were located, the magnitudes usually being smaller than 3. For the location, a new 1-D P-velocity model was derived for the region showing a crust consistent with an oceanic crustal structure. The seismicity is located mostly offshore the westernmost and geologically youngest areas of the archipelago, near the islands of Santo Antao and Sao Vicente in the NW and Brava and Fogo in the SW. The SW cluster has a lower occurrence rate and corresponds to seismicity concentrated mainly along an alignment between Brava and the Cadamosto seamount presenting normal faulting mechanisms. The existence of the NW cluster, located offshore SW of Santo Antao, was so far unknown and concentrates around a recently recognized submarine cone field; this cluster presents focal depths extending from the crust to the upper mantle and suggests volcanic unrest No evident temporal behaviour could be perceived, although the events tend to occur in bursts of activity lasting a few days. In this recording period, no significant activity was detected at Fogo volcano, the most active volcanic edifice in Cape Verde. The seismicity characteristics point mainly to a volcanic origin. The correlation of the recorded seismicity with active volcanic structures agrees with the tendency for a westward migration of volcanic activity in the archipelago as indicated by the geologic record. (C) 2014 Elsevier B.V. All rights reserved.}, language = {en} } @article{QuintanaArimBadosaetal.2015, author = {Quintana, Xavier D. and Arim, Matias and Badosa, Anna and Maria Blanco, Jose and Boix, Dani and Brucet, Sandra and Compte, Jordi and Egozcue, Juan J. and de Eyto, Elvira and Gaedke, Ursula and Gascon, Stephanie and Gil de Sola, Luis and Irvine, Kenneth and Jeppesen, Erik and Lauridsen, Torben L. and Lopez-Flores, Rocio and Mehner, Thomas and Romo, Susana and Sondergaard, Martin}, title = {Predation and competition effects on the size diversity of aquatic communities}, series = {Aquatic sciences : research across boundaries}, volume = {77}, journal = {Aquatic sciences : research across boundaries}, number = {1}, publisher = {Springer}, address = {Basel}, issn = {1015-1621}, doi = {10.1007/s00027-014-0368-1}, pages = {45 -- 57}, year = {2015}, abstract = {Body size has been widely recognised as a key factor determining community structure in ecosystems. We analysed size diversity patterns of phytoplankton, zooplankton and fish assemblages in 13 data sets from freshwater and marine sites with the aim to assess whether there is a general trend in the effect of predation and resource competition on body size distribution across a wide range of aquatic ecosystems. We used size diversity as a measure of the shape of size distribution. Size diversity was computed based on the Shannon-Wiener diversity expression, adapted to a continuous variable, i.e. as body size. Our results show that greater predation pressure was associated with reduced size diversity of prey at all trophic levels. In contrast, competition effects depended on the trophic level considered. At upper trophic levels (zooplankton and fish), size distributions were more diverse when potential resource availability was low, suggesting that competitive interactions for resources promote diversification of aquatic communities by size. This pattern was not found for phytoplankton size distributions where size diversity mostly increased with low zooplankton grazing and increasing nutrient availability. Relationships we found were weak, indicating that predation and competition are not the only determinants of size distribution. Our results suggest that predation pressure leads to accumulation of organisms in the less predated sizes, while resource competition tends to favour a wider size distribution.}, language = {en} } @article{MatosSilveiraMatiasetal.2015, author = {Matos, Catarina and Silveira, Graca and Matias, Luis and Caldeira, Rita and Ribeiro, M. Luisa and Dias, Nuno A. and Kr{\"u}ger, Frank and Bento dos Santos, Telmo}, title = {Upper crustal structure of Madeira Island revealed from ambient noise tomography}, series = {Journal of volcanology and geothermal research}, volume = {298}, journal = {Journal of volcanology and geothermal research}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0377-0273}, doi = {10.1016/j.jvolgeores.2015.03.017}, pages = {136 -- 145}, year = {2015}, abstract = {We present the first image of the Madeira upper crustal structure, using ambient seismic noise tomography. 16 months of ambient noise, recorded in a dense network of 26 seismometers deployed across Madeira, allowed reconstructing Rayleigh wave Green's functions between receivers. Dispersion analysis was performed in the short period band from 1.0 to 4.0 s. Group velocity measurements were regionalized to obtain 20 tomographic images, with a lateral resolution of 2.0 km in central Madeira. Afterwards, the dispersion curves, extracted from each cell of the 2D group velocity maps, were inverted as a function of depth to obtain a 3D shear wave velocity model of the upper crust, from the surface to a depth of 2.0 km. The obtained 3D velocity model reveals features throughout the island that correlates well with surface geology and island evolution. (C) 2015 Elsevier B.V. All rights reserved.}, language = {en} }