A bio-physical coastal ecosystem model for assessing environmental effects of marine bivalve aquaculture

2005 ◽  
Vol 183 (2-3) ◽  
pp. 323-346 ◽  
Author(s):  
Michael Dowd
2010 ◽  
Vol 64 (3) ◽  
pp. 341-359 ◽  
Author(s):  
Thomas Guyondet ◽  
Suzanne Roy ◽  
Vladimir G. Koutitonsky ◽  
Jon Grant ◽  
Guglielmo Tita

2021 ◽  
Vol 771 ◽  
pp. 145290
Author(s):  
Muhammad Ali Hafeez ◽  
Yoshiyuki Nakamura ◽  
Takayuki Suzuki ◽  
Tetsunori Inoue ◽  
Yoshitaka Matsuzaki ◽  
...  

2020 ◽  
Author(s):  
Michael Bedington ◽  
Ricardo Torres ◽  
Luca Polimene ◽  
Paul Mann ◽  
Jens Strauss

<p>The Arctic ocean receives 11% of the global river discharge and the Arctic rivers drain large permafrost rich catchments. Where these rivers outflow into the marginal shelf seas of the Arctic ocean the terrestrial dissolved organic matter (tDOM) which they transport has an important role to play in the coastal ecosystem. This tDom is derived from inland permafrost and as it thaws under future climate scenarios there are expected to be changes to both the composition and quantity of riverine tDOM. At the same time there will be changes to the seasonality and magnitude of river discharge, due to increased precipitation and earlier snow melt, and to the light availability, due to reduced seasonal sea ice. To understand the possible impact of these changes on the coastal ecosystem it is important to understand the present role of permafrost derived tDOM and the possible changes to the nearshore circulation.</p><p>We model the hydrodynamics of the extensive shallow shelf of the Laptev sea, into which drains the Lena river – the 13<sup>th</sup> largest in the world by discharge. The output from the hydrodynamic model is used to drive the ecosystem model ERSEM which has been adapted to explicitly include a permafrost tDOM input. This coupled model system allows us to investigate both the role of present day tDOM in an Arctic coastal ecosystem and to hypothesise on the impact of increases in future. In particular we attempt to quantify the efficacy of the microbial carbon pump under different tDOM inputs.</p>


Author(s):  
N.J. Tao ◽  
J.A. DeRose ◽  
P.I. Oden ◽  
S.M. Lindsay

Clemmer and Beebe have pointed out that surface structures on graphite substrates can be misinterpreted as biopolymer images in STM experiments. We have been using electrochemical methods to react DNA fragments onto gold electrodes for STM and AFM imaging. The adsorbates produced in this way are only homogeneous in special circumstances. Searching an inhomogeneous substrate for ‘desired’ images limits the value of the data. Here, we report on a reversible method for imaging adsorbates. The molecules can be lifted onto and off the substrate during imaging. This leaves no doubt about the validity or statistical significance of the images. Furthermore, environmental effects (such as changes in electrolyte or surface charge) can be investigated easily.


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