scholarly journals Sierra Nevada mountain lake microbial communities are structured by temperature, resources and geographic location

2020 ◽  
Vol 29 (11) ◽  
pp. 2080-2093 ◽  
Author(s):  
Marika A. Schulhof ◽  
Andrew E. Allen ◽  
Eric E. Allen ◽  
Natalie Mladenov ◽  
John P. McCrow ◽  
...  
2008 ◽  
Vol 136 (2) ◽  
pp. 757-768 ◽  
Author(s):  
Vanda Grubišić ◽  
Brian J. Billings

Abstract This note presents a satellite-based climatology of the Sierra Nevada mountain-wave events. The data presented were obtained by detailed visual inspection of visible satellite imagery to detect mountain lee-wave clouds based on their location, shape, and texture. Consequently, this climatology includes only mountain-wave events during which sufficient moisture was present in the incoming airstream and whose amplitude was large enough to lead to cloud formation atop mountain-wave crests. The climatology is based on data from two mountain-wave seasons in the 1999–2001 period. Mountain-wave events are classified in two types according to cloud type as lee-wave trains and single wave clouds. The frequency of occurrence of these two wave types is examined as a function of the month of occurrence (October–May) and region of formation (north, middle, south, or the entire Sierra Nevada range). Results indicate that the maximum number of mountain-wave events in the lee of the Sierra Nevada occurs in the month of April. For several months, including January and May, frequency of wave events displays substantial interannual variability. Overall, trapped lee waves appear to be more common, in particular in the lee of the northern sierra. A single wave cloud on the lee side of the mountain range was found to be a more common wave form in the southern Sierra Nevada. The average wavelength of the Sierra Nevada lee waves was found to lie between 10 and 15 km, with a minimum at 4 km and a maximum at 32 km.


1990 ◽  
Vol 12 (2) ◽  
pp. 415-422 ◽  
Author(s):  
Fidel Echevarría ◽  
Presentación Carrillo ◽  
Francisco Jimenez ◽  
Pedro Sanchez-Castillo ◽  
Luis Cruz-Pizarro ◽  
...  

2018 ◽  
Vol 115 (25) ◽  
pp. E5786-E5795 ◽  
Author(s):  
Ashley A. Ross ◽  
Kirsten M. Müller ◽  
J. Scott Weese ◽  
Josh D. Neufeld

Skin is the largest organ of the body and represents the primary physical barrier between mammals and their external environment, yet the factors that govern skin microbial community composition among mammals are poorly understood. The objective of this research was to generate a skin microbiota baseline for members of the class Mammalia, testing the effects of host species, geographic location, body region, and biological sex. Skin from the back, torso, and inner thighs of 177 nonhuman mammals was sampled, representing individuals from 38 species and 10 mammalian orders. Animals were sampled from farms, zoos, households, and the wild. The DNA extracts from all skin swabs were amplified by PCR and sequenced, targeting the V3-V4 regions of bacterial and archaeal 16S rRNA genes. Previously published skin microbiome data from 20 human participants, sampled and sequenced using an identical protocol to the nonhuman mammals, were included to make this a comprehensive analysis. Human skin microbial communities were distinct and significantly less diverse than all other sampled mammalian orders. The factor most strongly associated with microbial community data for all samples was whether the host was a human. Within nonhuman samples, host taxonomic order was the most significant factor influencing skin microbiota, followed by the geographic location of the habitat. By comparing the congruence between host phylogeny and microbial community dendrograms, we observed that Artiodactyla (even-toed ungulates) and Perissodactyla (odd-toed ungulates) had significant congruence, providing evidence of phylosymbiosis between skin microbial communities and their hosts.


2009 ◽  
Vol 68 (2) ◽  
pp. 206 ◽  
Author(s):  
Félix L. FIGUEROA ◽  
Nathalie KORBEE ◽  
Presentación CARRILLO ◽  
Juan Manuel MEDINA-SÁNCHEZ ◽  
Mayte MATA ◽  
...  

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