seasonal ponds
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Wetlands ◽  
2022 ◽  
Vol 42 (1) ◽  
Author(s):  
Kathryn L. Hofmeister ◽  
Sue L. Eggert ◽  
Brian J. Palik ◽  
David Morley ◽  
Emily Creighton ◽  
...  

2020 ◽  
Author(s):  
Christopher Morrice

Abstract A polyculture system was developed that was affordable to poor owners of seasonal ponds with a mean annual culture period of 200 days and situated on low quality soil types. Three main species were used silver carp (Hypophthalmichthys molitrix), silver barb (Barbonymus gonionotus) and common carp (Cyprinus carpio). Stocked in smaller numbers wererohu (Labeo rohita), catla (Catla catla), mrigal (Cirrhinus cirrhosus)and grass carp (Ctenopharyngodon idella). Pond preparation and management were dependent on the use of lime, cow manure, triple superphosphate (TSP) and urea. Duckweed, green vegetables and rice bran were the principle supplementary feeds. This system raised production levels from 740 kg ha-1 to 2195 kg ha-1 with a cost:benefit ratio of 1:3.8.


2020 ◽  
Vol 5 (6) ◽  
pp. 108-112
Author(s):  
Anwar Hossain Mondal ◽  
Mehedi Hasan Sikdar ◽  
Susmita Saha ◽  
Jannatun Nayeem Neela

2020 ◽  
Author(s):  
Shelby Short ◽  
◽  
Luke Basler ◽  
David Morley ◽  
Sue L. Eggert ◽  
...  

2019 ◽  
pp. 1-14
Author(s):  
Md. Golam Mustafa ◽  
Gopal Chandra Sarker ◽  
Shariff N. Anwar ◽  
Md. Ahsanuzzaman ◽  
Sadequr Rahman ◽  
...  

Aims: To identify the potential environmental impacts and influence of climate change on the pond fishery in haor region and impact of exotic species on the indigenous species through aquaculture. Study Design: An investigation on the influence of the pond fishery approach to determine whether the approach is successful with respect to the climate change impacts in the haor area. Place and Duration of Study: The study sites are located in five haor districts in Bangladesh for a period of one-year (May 2018 – April 2019) covering HILIP working area. Methodology: The study includes collection and analyses of both quantitative and qualitative data. For quantitative study, 92 sample households in 58 unions of 28 upazilas (sub-districts) in five project districts were randomly selected. Fish catch data, including information on species composition, production and sale were collected from perennial and seasonal ponds. The qualitative primary data obtained through in-depth interviews, key informants interviews and focus group discussions have been used in this paper. Results: Fish production was found to be better at perennial ponds, but not significantly more than that in the seasonal ponds. However, biodiversity was found to be better in seasonal ponds and greater than that in the perennial ponds. The findings clearly support the observation that pond fish culture is an attractive activity for haor people, especially those who are able to run both perennial and seasonal ponds and manage minimum feeding requirements, maintain those  and market the outputs effectively. The present study fills gaps in existing knowledge of fish pond culture diffusion in haor region of Bangladesh. Conclusions: Pond fishery appears to perform better so, aquaculture production would mitigate some lost capture fisheries in the haor area of Bangladesh. Existing cultural practices could support experimentation and learning under future initiatives in the haor area. Pond fishery in the haor area mainly has an income-generating feature and less probability of being affected by climate change impacts. However, future initiatives should emphasize on culturing fish, which has the potential of balancing the haor ecosystem. Aims: To identify the potential environmental impacts and influence of climate change on the pond fishery in haor region and impact of exotic species on the indigenous species through aquaculture. Study Design: An investigation on the influence of the pond fishery approach to determine whether the approach is successful with respect to the climate change impacts in the haor area. Place and Duration of Study: The study sites are located in five haor districts in Bangladesh for a period of one-year (May 2018 – April 2019) covering HILIP working area. Methodology: The study includes collection and analyses of both quantitative and qualitative data. For quantitative study, 92 sample households in 58 unions of 28 upazilas (sub-districts) in five project districts were randomly selected. Fish catch data, including information on species composition, production and sale were collected from perennial and seasonal ponds. The qualitative primary data obtained through in-depth interviews, key informants interviews and focus group discussions have been used in this paper. Results: Fish production was found to be better at perennial ponds, but not significantly more than that in the seasonal ponds. However, biodiversity was found to be better in seasonal ponds and greater than that in the perennial ponds. The findings clearly support the observation that pond fish culture is an attractive activity for haor people, especially those who are able to run both perennial and seasonal ponds and manage minimum feeding requirements, maintain those  and market the outputs effectively. The present study fills gaps in existing knowledge of fish pond culture diffusion in haor region of Bangladesh. Conclusions: Pond fishery appears to perform better so, aquaculture production would mitigate some lost capture fisheries in the haor area of Bangladesh. Existing cultural practices could support experimentation and learning under future initiatives in the haor area. Pond fishery in the haor area mainly has an income-generating feature and less probability of being affected by climate change impacts. However, future initiatives should emphasize on culturing fish, which has the potential of balancing the haor ecosystem.


Wetlands ◽  
2018 ◽  
Vol 38 (5) ◽  
pp. 1045-1057 ◽  
Author(s):  
Yuichiro Fujioka ◽  
Yoshinori Watanabe ◽  
Hiroki Mizuochi ◽  
Fisseha Itanna ◽  
Shou Ruben ◽  
...  

2018 ◽  
Vol 46 (2) ◽  
pp. 314-329 ◽  
Author(s):  
Adriana Ferreira ◽  
Ana Oeda ◽  
Patricia Oliveira ◽  
Adriano Prysthon ◽  
Roberto Valladao ◽  
...  

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