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Identification and Mapping of Essential Fish Habitats Using Remote Sensing and GIS on Lake Victoria, Kenya

Identification and Mapping of Essential Fish Habitats Using Remote Sensing and GIS on Lake Victoria, Kenya
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摘要 Fisheries in Lake Victoria have been threatened by declining fish stocks and diversity, environmental degradation due to increased input of pollutants, industrial and municipal waste, overfishing and use of unapproved fishing <span style="font-family:Verdana;">methods, infestation by aquatic weeds especially water hyacinth, de-oxygenation</span><span style="font-family:Verdana;"> and a reduction in the quantity and quality of water. Remote sensing and GIS are essential tools in detection of fishing grounds which is important in providing fish sustainability for human beings and allows fishing grounds detection at minimal cost and optimizes effort. This research tends to identify the most favorable both environmentally and ecologically satisfactory factors which favor fish breeding and growth. The main aim of the study was to identify habitat variables that promote fish breeding and growth to maturity including the extraction of environmental variables from Landsat 8 images for the study period and using suitability index derived from fishery data. The study concentrated on establishing suitability ratings in different parts of Lake Victoria using lake surface temperature and chlorophyll-a levels. The study was conducted for months;January, May and December 2019 on Lake Victoria (limited by the availability of recent data). The factors were analysed and the favorable regions mapped satisfying the conditions for fish breeding. The output obtained illustrated the availability of suitable and habitable zones within the lake using satellite imagery and the suitability index. The fish catch data and satellite derived variables were used to determine habitat suitability indices for fish during January, May and December 2019. More than 90% of the total catch was found to come from the areas with sea surface temperature of 23.0&#730C - 28.3&#730C and chlorophyll-</span><span style="font-family:Verdana;">a </span><span style="font-family:Verdana;">concentration between 0.72 - 1.31 mg/m</span><sup><span style="font-family:Verdana;vertical-align:super;">3</span></sup><span style="font-family:Verdana;">. The catch data was used to validate the images. This study indicated the capability of High Satellite Resolution Imageries (HSI) as a tool to map the potential fishing grounds of fish species in Lake Victoria. The variables were affected by climatic change factors like rainfall and temperature of the lake basin and other human activities around the lake and also the species ecosystem like competition or predation.</span> Fisheries in Lake Victoria have been threatened by declining fish stocks and diversity, environmental degradation due to increased input of pollutants, industrial and municipal waste, overfishing and use of unapproved fishing <span style="font-family:Verdana;">methods, infestation by aquatic weeds especially water hyacinth, de-oxygenation</span><span style="font-family:Verdana;"> and a reduction in the quantity and quality of water. Remote sensing and GIS are essential tools in detection of fishing grounds which is important in providing fish sustainability for human beings and allows fishing grounds detection at minimal cost and optimizes effort. This research tends to identify the most favorable both environmentally and ecologically satisfactory factors which favor fish breeding and growth. The main aim of the study was to identify habitat variables that promote fish breeding and growth to maturity including the extraction of environmental variables from Landsat 8 images for the study period and using suitability index derived from fishery data. The study concentrated on establishing suitability ratings in different parts of Lake Victoria using lake surface temperature and chlorophyll-a levels. The study was conducted for months;January, May and December 2019 on Lake Victoria (limited by the availability of recent data). The factors were analysed and the favorable regions mapped satisfying the conditions for fish breeding. The output obtained illustrated the availability of suitable and habitable zones within the lake using satellite imagery and the suitability index. The fish catch data and satellite derived variables were used to determine habitat suitability indices for fish during January, May and December 2019. More than 90% of the total catch was found to come from the areas with sea surface temperature of 23.0&#730C - 28.3&#730C and chlorophyll-</span><span style="font-family:Verdana;">a </span><span style="font-family:Verdana;">concentration between 0.72 - 1.31 mg/m</span><sup><span style="font-family:Verdana;vertical-align:super;">3</span></sup><span style="font-family:Verdana;">. The catch data was used to validate the images. This study indicated the capability of High Satellite Resolution Imageries (HSI) as a tool to map the potential fishing grounds of fish species in Lake Victoria. The variables were affected by climatic change factors like rainfall and temperature of the lake basin and other human activities around the lake and also the species ecosystem like competition or predation.</span>
作者 Mark Kipkurwa Boitt Erick Otieno Aete Mark Kipkurwa Boitt;Erick Otieno Aete(Institute of Geomatics, GIS and Remote Sensing (IGGReS), Dedan Kimathi University of Technology, Nyeri, Kenya;Department of Geomatic Engineering and GIS (GEGIS), Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya)
出处 《Journal of Geoscience and Environment Protection》 2021年第10期91-109,共19页 地球科学和环境保护期刊(英文)
关键词 Catch Per Unit Effort Potential Fishing Zones Geographic Information Systems High Resolution Satellite Image Habitat Suitability Index Catch Per Unit Effort Potential Fishing Zones Geographic Information Systems High Resolution Satellite Image Habitat Suitability Index
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