Hybridization and evolution inCardamine (Brassicaceae) at Urnerboden, Central Switzerland: Biosystematic and molecular evidence

1997 ◽  
Vol 204 (3-4) ◽  
pp. 233-256 ◽  
Author(s):  
Krystyna M. Urbanska ◽  
Herbert Hurka ◽  
Elias Landolt ◽  
Barbara Neuffer ◽  
Klaus Mummenhoff
Keyword(s):  
Molecular Evidence ◽  
Central Switzerland

Direct molecular evidence for the expression of the 5-HT4 receptor in rat colonocytes

2001 ◽  
Vol 120 (5) ◽  
pp. A171-A171
Author(s):  
M STONER ◽  
D YAGER ◽  
J KELLUM
Keyword(s):  
Molecular Evidence

A new species of Contomastix (Squamata, Teiidae) supported by total evidence, with remarks on diagnostic characters defining the genus

2019 ◽  
pp. 23-36
Author(s):  
Mario. R. Cabrera
Keyword(s):  
New Species ◽  
Geographic Distribution ◽  
Phylogenetic Reconstruction ◽  
Total Evidence ◽  
Molecular Evidence ◽  
Proximal Margin ◽  
Diagnostic Characters ◽  
Morphological Differences ◽  
A New Species ◽  
Molecular Characters

Formerly Cnemidophorus was thought to be the most speciose genus of Teiidae. This genus comprised four morphological groups that were later defined as four different genera, Ameivula, Aurivela, Cnemidophorus and Contomastix. The last appears as paraphyletic in a recent phylogenetic reconstruction based on morphology, but monophyletic in a reconstruction using molecular characters. Six species are allocated to Contomastix. One of them, C. lacertoides, having an extensive and disjunct geographic distribution in Argentina, Uruguay and Brazil. Preliminary analyses revealed morphological differences among its populations, suggesting that it is actually a complex of species. Here, we describe a new species corresponding to the Argentinian populations hitherto regarded as C. lacertoides, by integrating morphological and molecular evidence. Furthermore, we demonstrate that the presence of notched proximal margin of the tongue is a character that defines the genus Contomastix.

Molecular evidence of osteoblast dysfunction in elderly men with osteoporotic hip fractures

2014 ◽  
Author(s):  
Ursula Foger-Samwald ◽  
Alaghebandan Afarin ◽  
Janina Patsch ◽  
Doris Schamall ◽  
Sylvia Salem ◽  
...  
Keyword(s):  
Hip Fractures ◽  
Molecular Evidence ◽  
Elderly Men

Die Brutvogelfauna eines Nadelwaldes der nördlichen Voralpen nach dem Sturm Lothar

2017 ◽  
Vol 168 (2) ◽  
pp. 59-66
Author(s):  
Pierre Mollet ◽  
René Hardegger ◽  
Res Altwegg ◽  
Pius Korner ◽  
Simon Birrer
Keyword(s):  
Forest Succession ◽  
Coniferous Forest ◽  
Bird Species ◽  
Individual Species ◽  
Mountain Forest ◽  
Breeding Bird ◽  
Point Counts ◽  
Federal Institute ◽  
Central Switzerland ◽  
Bird Fauna

Breeding bird fauna in a coniferous forest in the northern Prealps after storm Lothar In a 70-hectare large coniferous forest located on the northern edge of the Alps in central Switzerland, Canton of Obwalden, at an altitude of 1260 to 1550 metres above sea level, we surveyed the local breeding bird fauna in 2002 and 2013 by means of point counts as well as additional area searches for rare species. In December 1999, hurricane Lothar caused two large windthrow areas and several smaller areas with scattered throws in the survey range. We found a total of 48 breeding bird species, which is a very diverse species composition for a mountain forest. In the eleven years between surveys, a decline in distribution or abundance was recorded for four species, while seven species showed an increase; a further four species showed no change. For the remaining species, the data sets were too small to reliably estimate changes. A comparison with forest structure data provided by the Swiss Federal Institute of Forest, Snow and Landscape Research WSL revealed that for five bird species, the changes in distribution or abundance could be explained at least partially by forest succession. In order to obtain realistic distribution and abundance values in this kind of breeding bird survey, it is essential to collect large enough samples and to consider the detection probability of each individual species using appropriate statistical methods.

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