Carp farming potential in Barhatta Upazilla, Bangladesh: a GIS methodological perspective

Salam, MA; Khatun, Nafisa; Ali, MA

doi:10.1016/j.aquaculture.2004.10.030

Cited by 37 publications

(23 citation statements)

References 4 publications

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“…Similar observations were made by Vibulsresth et al (1993), Venkataratnam et al (1997), Pérez et al (2003), Giap et al (2005), and Rajitha et al (2007). In recent years, significant advances have been made in remote sensing in Bangladesh, especially in shrimpfarming development in the coastal zone , detection of changes in Sunderbans mangrove forest (Islam et al, 1997), mapping shrimp farming and agricultural areas (Shahid et al, 1992), mapping suitable areas for saltpan development (Hossain et al, 2003a), mangrove afforestation (Hossain et al, 2003b), assessing suitable carp-farming areas (Salam et al, 2005) and tilapia farming areas (Hossain et al, 2007).…”

Section: Introductionsupporting

confidence: 59%

“…Thus, 14 factors were selected and scored, and developed into a series of submodels according to Hossain et al (2007), Salam et al (2005), Giap et al (2005), Aguilar-Manjarrez (1992, Aguilar-Manjarrez and Ross ( , 1995aRoss ( , 1995b or categories of criteria (Kapetsky, 1994;Kapetsky and Nath, 1997) which logically group certain factors together within a general model. For example, some factors were grouped to form submodels (e.g.…”

Section: Methodsmentioning

confidence: 99%

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Integration of GIS and multicriteria decision analysis for urban aquaculture development in Bangladesh

Hossain¹,

Chowdhury²,

Das³

et al. 2009

Landscape and Urban Planning

107

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Section: Introductionsupporting

confidence: 59%

Section: Methodsmentioning

confidence: 99%

Integration of GIS and multicriteria decision analysis for urban aquaculture development in Bangladesh

Hossain¹,

Chowdhury²,

Das³

et al. 2009

Landscape and Urban Planning

107

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“…GIS has been successfully used to develop complex models for site selection for the culture of scallops (Radiarta, Saitoh & Miyazono 2008), mussels (Longdill, Healy & Black 2008), crab and shrimp (Salam, Ross & Beveridge 2003), marine fish (Pérez et al . 2005), carp (Salam, Khatun & Ali 2005), and further examples may be accessed from the FAO Gisfish site at http://www.fao.org/fishery/gisfish/index.php. The aim of the present study was to use GIS models as a decision support tool for optimal site selection for freshwater cage aquaculture systems in a large water body.…”

Section: Resultsmentioning

confidence: 99%

Spatial modelling for freshwater cage location in the Presa Adolfo Mateos Lopez (El Infiernillo), Michoacán, México

Ross

Falconer

Mendoza

et al. 2010

Aquaculture Research

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The tilapia fishery in a large Mexican reservoir has declined in recent years, promoting efforts to enhance stock quality in conjunction with feasibility studies for cage aquaculture. Spatial models to optimize cage location have been developed, incorporating aspects of topography, climate, hydrography, water quality and quantity, land use, infrastructure and socioeconomics. Three cage sizes were modelled, 5, 10 and 15 m diameter, for both high- and low-water levels. When full the, reservoir has a total area of 312 km2 but a reduction in water level of 13 m was recorded between wet and dry seasons, significantly reducing the surface area available for cages to 265 km2. The results indicate a significant difference in the availability of sites between seasons. For the small, medium and large cages at high water level, the areas classified as highly suitable or suitable were 151, 184 and 146 km2, respectively, while at low-water level these areas reduced to 113, 88 and 62 km2. Modelling this change in water level and the subsequent loss of available sites provide qualitative and quantitative guidelines for the development of aquaculture sites, their seasonal management and future monitoring, outcomes that can only be achieved using Geographical Information Systems and associated technologies

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“…; Salam et al . ). Combining databases that make use of Google Earth, and analysed within a GIS platform, and yield modelling has been shown to provide useful assessment tools for inland fisheries (De Graaf et al .…”

Section: Introductionmentioning

confidence: 97%

Use of geographical information system and remote sensing techniques for planning culture‐based fisheries in non‐perennial reservoirs of Sri Lanka

et al. 2014

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The presence of a wide areal extent of small‐sized village reservoirs offers a considerable potential for the development of culture‐based fisheries (CBFs) in Sri Lanka. To this end, this study uses geographical information systems (GISs) and remote sensing (RS) techniques to determine the morphometric and biological characteristics most useful for classifying non‐perennial reservoirs for CBF development and for assessing the influence of catchment land‐use patterns on potential CBF yields. The reservoir shorelines at full water supply level were mapped with a Global Positioning System to determine shoreline length and reservoir areal extent. The ratio of shoreline length to reservoir extent, which was reported to be a powerful predictor variable of CBF yields, could be reliably quantified using RS techniques. The areal extent of reservoirs, quantified with RS techniques (RS extent), was used to estimate the ratio of forest cover plus scrubland cover to RS extent and was found to be significantly related to the CBF yield (R2 = 0.400; P < 0.05). The results of this study indicated that morphometric characteristics and catchment land‐use patterns, which might be viewed as indices of biological productivity, can be quantified using RS and GIS techniques.

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Carp farming potential in Barhatta Upazilla, Bangladesh: a GIS methodological perspective

Cited by 37 publications

References 4 publications

Integration of GIS and multicriteria decision analysis for urban aquaculture development in Bangladesh

Integration of GIS and multicriteria decision analysis for urban aquaculture development in Bangladesh

Spatial modelling for freshwater cage location in the Presa Adolfo Mateos Lopez (El Infiernillo), Michoacán, México

Use of geographical information system and remote sensing techniques for planning culture‐based fisheries in non‐perennial reservoirs of Sri Lanka

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