Application of Geographic Information Systems (GIS) in Mapping Fish Species Distribution and Taxonomic Data

Authors

  • Tobias Bhroin Department of Aquatic Biosciences, Trinity College Dublin, Dublin, Ireland. Author

Keywords:

Geographic information systems (GIS), Mapping Fish Distribution (MFD), Taxonomic Data (TD)

Abstract

By handling several geographical components simultaneously, GIS is a technology that may be used to clarify 
problems and find solutions. For the past 15 years, aquaculture research has evaluated the suitability of coastal 
areas for farming operations using GIS. Aquaculture management issues including habitat availability, the many 
uses of estuarine waters, and research on how water quality affects the production of finfish and shellfish may all 
be studied using GIS. Additionally, GIS has been utilized to address frequent issues between aquaculture 
operations and marine duck habitats. FAO developed the website GIS Fish, which offers access to global 
information on remote sensing, mapping, and geographic information systems (GIS) as they pertain to aquaculture 
and inland fisheries. The US Fish and Wildlife Service, the US Geological Survey, and other federal and state 
organizations utilize GIS to help in conservation efforts. GIS is used in many aquatic scientific fields, including 
as oceanography, marine biology, stream ecology, aquatic botany, limnology, and hydrology. Applications 
include using satellite imagery to identify, monitor, and lessen habitat damage. The state of inaccessible locations 
can also be depicted through imagery. Scientists can monitor movements and devise a plan to identify areas of 
concern. GIS may be used to monitor population shifts, endangered species, and invasive species. Much research 
on wetlands has been conducted with an emphasis on their management and conservation features, with 
encouraging outcomes.

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Published

2024-04-26

How to Cite

Application of Geographic Information Systems (GIS) in Mapping Fish Species Distribution and Taxonomic Data . (2024). FishTaxa - Journal of Fish Taxonomy, 32, 31-40. https://fishtaxa.com/index.php/FishTaxa/article/view/18

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