dc.contributor.advisor | Cotton, Don, Dr. | en |
dc.contributor.author | Rogers, Kevin G. | en |
dc.date.accessioned | 2017-03-21T16:11:16Z | |
dc.date.available | 2017-03-21T16:11:16Z | |
dc.date.issued | 1995 | |
dc.identifier.citation | Rogers, Kevin G. (1995) Fish as biomonitors : an integrated perspective. M. Sc., Institute of Technology, Sligo. | en |
dc.identifier.other | MSc | en |
dc.identifier.uri | https://research.thea.ie/handle/20.500.12065/1493 | |
dc.description.abstract | There is a perception in some quarters that because there has been a reduction in fish kills in Ireland in recent years that the fishery resource is no longer under threat to the same degree as
heretofore. This is not necessarily the case as this study demonstrates that fish kills are merely
one indicator of many by which fish respond to deteriorating water quality. Effects of pollution
on fish can be measured at different levels of biological organisation - at the cellular level, the
organ level, the individual level, the population level or the community level. Effects can range
i from fish kills, changes in fish density or species composition, or increasing incidence of water
quality related diseases. This study reviews and examines the potential for an improved role for
the use o f fish as biological indicators of the aquatic environment. In recent times, the most
important advances have been made in computer software development and increasingly
modules are becoming available which relate to resource and environmental management. The
use of models is explored. AG.I.S based approach for the implementation of an integrated
data collection, assessment, reporting and classification system suitable for use under Irish
conditions is recommended. The ultimate aim should be to develop an improved fisheries
environmental information system. The need is to identify and record existing data sets but also
to incorporate newer technological advances into meaningful formats. These could then be
correlated with water quality trends over time. The potential range of data sets are so varied
that any new system should allow for the input of a large number of varied spatial and non
spatial information, which should be linkable to related database information and be such that it
can be integrated into a geographic information system. Fortunately, the G.I.S approach allows
for this in so far as the basic environmental module can be expanded upon by the user
depending on the nature of the databases under examination. It would also facilitate a
uniform and integrated approach in which fish by virtue of their absence, presence, relative
abundance, health status etc. would reflect prevailing environmental conditions in a manner
that was not possible heretofore. | en |
dc.format | Pdf | en |
dc.language.iso | en | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Water quality. | en |
dc.subject | Environmental monitoring. | en |
dc.subject | Fishes. | en |
dc.subject | Fish kills. | en |
dc.subject | Biological monitoring. | en |
dc.title | Fish as biomonitors : an integrated perspective | en |
dc.type | Master Thesis (taught) | en |
dc.publisher.institution | Institute of Technology, Sligo | en |
dc.rights.access | Creative Commons Attribution-NonCommercial-NoDerivs | en |
dc.subject.department | Dept of Environmental Science, ITS | en |