scholarly journals Trends in Oyster Populations in the Northeastern Gulf of Mexico: An Assessment of River Discharge and Fishing Effects over Time and Space

2020 ◽  
Vol 12 (3) ◽  
pp. 191-204
Author(s):  
J. F. Moore ◽  
W. E. Pine ◽  
P.C. Frederick ◽  
S. Beck ◽  
M. Moreno ◽  
...  
2016 ◽  
Vol 173 ◽  
pp. 133-144 ◽  
Author(s):  
Brendan S. O'Connor ◽  
Frank E. Muller-Karger ◽  
Redwood W. Nero ◽  
Chuanmin Hu ◽  
Ernst B. Peebles

Author(s):  
Derek Nurse

The focus of this chapter is on how languages move and change over time and space. The perceptions of historical linguists have been shaped by what they were observing. During the flowering of comparative linguistics, from the late 19th into the 20th century, the dominant view was that in earlier times when people moved, their languages moved with them, often over long distances, sometimes fast, and that language change was largely internal. That changed in the second half of the 20th century. We now recognize that in recent centuries and millennia, most movements of communities and individuals have been local and shorter. Constant contact between communities resulted in features flowing across language boundaries, especially in crowded and long-settled locations such as most of Central and West Africa. Although communities did mix and people did cross borders, it became clear that language and linguistic features could also move without communities moving.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Di Zhu ◽  
Xinyue Ye ◽  
Steven Manson

AbstractWe describe the use of network modeling to capture the shifting spatiotemporal nature of the COVID-19 pandemic. The most common approach to tracking COVID-19 cases over time and space is to examine a series of maps that provide snapshots of the pandemic. A series of snapshots can convey the spatial nature of cases but often rely on subjective interpretation to assess how the pandemic is shifting in severity through time and space. We present a novel application of network optimization to a standard series of snapshots to better reveal how the spatial centres of the pandemic shifted spatially over time in the mainland United States under a mix of interventions. We find a global spatial shifting pattern with stable pandemic centres and both local and long-range interactions. Metrics derived from the daily nature of spatial shifts are introduced to help evaluate the pandemic situation at regional scales. We also highlight the value of reviewing pandemics through local spatial shifts to uncover dynamic relationships among and within regions, such as spillover and concentration among states. This new way of examining the COVID-19 pandemic in terms of network-based spatial shifts offers new story lines in understanding how the pandemic spread in geography.


Polar Biology ◽  
2021 ◽  
Author(s):  
Peter S. Ungar ◽  
Blaire Van Valkenburgh ◽  
Alexandria S. Peterson ◽  
Aleksandr A. Sokolov ◽  
Natalia A. Sokolova ◽  
...  

2004 ◽  
Vol 8 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Gil Young Kim ◽  
Michael D. Richardson ◽  
Dale L. Bibee ◽  
Dae Choul Kim ◽  
Roy H. Wilkens ◽  
...  

2004 ◽  
Vol 24 (9) ◽  
pp. 1001-1013 ◽  
Author(s):  
Shejun Fan ◽  
Lie-Yauw Oey ◽  
Peter Hamilton

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