scholarly journals Spatial and temporal distribution of bull trout (Salvelinus confluentus)-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016

2017 ◽  
Author(s):  
Noah S. Adams ◽  
Collin D. Smith
2007 ◽  
Vol 62 (3) ◽  
pp. 242-257 ◽  
Author(s):  
Lydie Herfort ◽  
Stefan Schouten ◽  
Ben Abbas ◽  
Marcel J. W. Veldhuis ◽  
Marco J. L. Coolen ◽  
...  

2021 ◽  
Author(s):  
Alyssa Rodolfich ◽  
Eric Sparks ◽  
Benedict Posadas ◽  
John Rodgers ◽  
Adam Skarke ◽  
...  

Abstract Commercial shrimpers frequently encounter marine debris in their nets, resulting in the loss of time and catch, and added repair costs. Prior to this study, no information existed on the spatial and temporal distribution of marine debris that shrimpers encounter and the subsequent economic impact on commercial shrimping. To characterize the quantity and impacts of marine debris, twenty commercial shrimpers participated in a comprehensive data collection program within the north central Gulf of Mexico, USA. Results showed that derelict crab traps were an overwhelming issue for shrimpers, and the type of fishing gear used (skimmer vs. otter trawls) influenced both the type of marine debris encountered and the subsequent economic impacts. Surveyed shrimpers encountered marine debris on 19% of tows and lost an average of 18.21 minutes, 7.88 kg of catch, and $6.37 (USD) in gear damage per tow with encounters, resulting in losses of $7,683 (USD) per year, per shrimper.


Author(s):  
X. Feng ◽  
H. K. Cai ◽  
B. W. Wang ◽  
X. M. Li ◽  
L. Zhang

Abstract. Based on CALIOP data, spatial and temporal distribution of cloud height and thickness over China as well as the adjacent areas have been analysed in this paper. The results show significant regional differences. The heights of clouds that lie to the south of 27.6°N are greater than those to the north of 27.6°N. The highest and thickest clouds are located above the Bay of Bengal and the Western Pacific, while the lowest values distribute in the northwest of the Tibetan Plateau and Sichuan Basin. The clouds ranging from 0.3 km to 0.6 km thickness account for a large proportion of total clouds. And the probability of occurrence of clouds decreases as cloud thickness increases. Overall, within the area under study, the thick clouds are higher than the thin clouds. Besides, low and thin clouds occur more frequently than high and thick clouds. As for their seasonal variation, the height of clouds peaks in summer. In addition, the mean of cloud thickness to the south of 27.6°N is 2.4 km thicker in summer than in any other season.


2009 ◽  
Vol 7 (2) ◽  
pp. 275-282 ◽  
Author(s):  
Luís Fernando Fávaro ◽  
Elton Celton de Oliveira ◽  
Augusto de Oliveira Brunow Ventura ◽  
Nelsy Fenerich Verani

The spatial and temporal distribution of Sphoeroides greeleyi and Sphoeroides testudineus were established from collections (biological material and environmental data) conducted on a monthly basis from May 2000 to April 2001 in intertidal areas along the north-south axis of the estuarine complex of Paranaguá, Paraná State. In addition to characterizing a north-south spatial gradient, which fluctuates seasonally, the variation in the abiotic factors made possible the division of the estuary into three regions: north, central and south. Spatially, it was found that the number of individuals declines significantly for both species in the north-south direction of the estuary. Moreover, significant differences were found in the size of individuals across the estuarine regions. The largest S. greeleyi individuals were caught in the north, as well as the smallest S. testudineus individuals. The catches with the highest numbers of puffer fish occurred from late spring to early autumn, coinciding with the occurrence of specimens of smaller size and lower mean body mass. The results indicate that spatial and temporal variations in the environment impact the distribution patterns of both puffer fish species, suggesting that the co-occurrence of closely related species functions as a modulating factor in that distribution.


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