University of Aberdeen Oceanlab

Street Address:
1 Main Street
City:
Newburgh
State:
Aberdeenshire
Country:
UK
Postal Code:
AB41 6AA
Telephone:
+44 (0)1224 274401
Facsimile:
+44 (0)1224 274402
Publications:

The deep-sea is a challenging environment for the physiologist, mainly because many animals cannot be collected for study in the laboratory as they are killed by changes in pressure and temperature during capture. As a result we know relatively little about abyssal animals, but what we do know tends to indicate that deep-water environments favour animals with low metabolic rates and activity levels, and while several reasons for this have been suggested none has been proven. Research within the Marine theme include fundamental and applied studies in a wide range of contrasting marine ecosystems. Work has been carried out in habitats from the inter-tidal down to the abyssal deep sea, and from Arctic to Antarctic waters. A broad suite of approaches including, remote sensing, instrumentation and modelling are used to study populations in-situ. Particular emphasis is placed on understanding how individuals and populations respond to extreme and changing environments. , http://www.oceanlab.abdn.ac.uk/research/papers.shtml

The deep-sea is a challenging environment for the physiologist, mainly because many animals cannot be collected for study in the laboratory as they are killed by changes in pressure and temperature during capture. As a result we know relatively little about abyssal animals, but what we do know tends to indicate that deep-water environments favour animals with low metabolic rates and activity levels, and while several reasons for this have been suggested none has been proven. Our aims are: 1. To support fundamental Marine theme applied studies in a wide range of contrasting marine ecosystems. Work is carried out in habitats from the inter-tidal down to the abyssal deep sea, and from Arctic to Antarctic waters. 2. To develop a broad suite of approaches including, remote sensing, instrumentation and modelling that can be used to study populations in-situ. Particular emphasis being placed on understanding how individuals and populations respond to extreme and changing environments.