Biological characteristics of the improved extensive shrimp system in the Mekong delta of Vietnam

Truong, Nguyen Quang; Merckx, Roel; Út, Vũ Ngọc

doi:10.1111/j.1365-2109.2011.02858.x

Cited by 16 publications

(11 citation statements)

References 50 publications

(57 reference statements)

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“…The leading question is what the long-term consequences might be. Lower rates of deterioration in recent years in the GBM and recent fluctuations of water quality in the Mekong suggest that the long term environmental decline may be stabilizing (Li and He 2008;Tho et al 2012;Renaud et al 2015). But the most recent provisioning data indicate slowing or stabilizing trends for rice and livestock production (Amazon), rice production (GBM) and livestock production (Mekong).…”

Section: Discussionmentioning

confidence: 99%

Evolutionary social and biogeophysical changes in the Amazon, Ganges–Brahmaputra–Meghna and Mekong deltas

et al. 2016

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Policy-making in social-ecological systems increasingly looks to iterative, evolutionary approaches that can address the inherent complexity of interactions between human wellbeing, provision of goods and the maintenance of ecosystem services. Here, we show how the analysis of available time-series in tropical delta regions over past decades can provide important insight into the social-ecological system dynamics in deltaic regions. The paper provides exploratory analysis of the recent changes that have occurred in the major elements of three tropical deltaic social-ecological systems, such as demography, economy, health, climate, food, and water. Timeseries data from official statistics, monitoring programmes and Earth observation data are analysed to explore possible trends, slow and fast variables, and observed drivers of change in the Amazon, Ganges-Brahmaputra-Meghna and Mekong deltas. In the Ganges-BrahmaputraMeghna delta zone, increasing gross domestic product and per capita income levels since the 1980s mirror rising levels of food and inland fish production. In contrast, non-food ecosystem services, such as water availability, water quality and land stability appear to be deteriorating. In the Amazon delta, natural and anthropogenic perturbations are continuously degrading key ecosystem services, such as carbon storage in biomass and soils, the regulation of water balance, and the modulation of regional climate patterns. In the Mekong delta, rapid economic development, changing land use practices and salinity intrusion, are progressively putting more pressure on the delivery of important provisioning services, such as rice and inland aquaculture production, which are key sources of staple food, farm incomes and export revenue. Observed changes in many key indicators of ecosystem services point to a changing dynamic state and increased probability of systemic threshold transformations in the near future.

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Section: Discussionmentioning

confidence: 99%

Evolutionary social and biogeophysical changes in the Amazon, Ganges–Brahmaputra–Meghna and Mekong deltas

et al. 2016

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“…Plankton Oscillatoria sp is a type of cyanobacteria that cause HABs in aquatic ecosystems (Deep et al, 2013). Oscillatoria sp on aquatic environment will produce toxins such as neurotoxin, anatoxin, and hepatotoxins which cause shrimp to become off-flavour (Smith, 1996;Rodgers, 2008;and Tho et al, 2012). Oscillatoria sp and several other types of Blue Green Algae plankton can grow with nutrient-poor in pond waters because Oscillatoria sp has buoyancy and heterocyst cells that can take free nutrients from the air (Edhy et al, 2010).…”

Section: Dynamics Of Oscillatoria Sp Abundancementioning

confidence: 99%

Acreditation Certificate Acreditation No. 21/E/KPT/2018 Article Tools Print this article Indexing metadata How to cite item Supplementary files Email this article Email the author About The Authors Heri Ariadi ORCID iD http://ub.edu/heri Fisheries and Marine Science Faculty, University of Brawijaya Indonesia Good luck to RJLS Publisher Mohammad Mahmudi Fisheries and Marine Science Faculty, University of Brawijaya Indonesia Mohamad Fadjar Fisheries and Marine Science Faculty, University of Brawijaya Ind

Ariadi

Mahmudi

Fadjar

2019

RJLS

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The abundance of Vibrio bacteria and the presence of an excess Oscillatoria sp plankton type are the main problems that often arise in intensive vanamei (Litopenaeus vannamei) shrimp culture. To examine this problem, the purpose of this study was to determine of model approach interaction between the abundance of Vibrio and Oscillatoria sp with the shrimp growth rate in ponds. This research was conducted with the expose facto design on intensive shrimp culture operations in Bayeman Village, Probolinggo. The results data from field research variable are analyzed using a dynamic modeling system. From the modeling analysis results, showed that the Oscillatoria sp abundance pattern tended to increase over with shrimp culture period as following the pattern of tropical status dynamics by the nutrient increase load of 16.37%/week in ponds ecosystem. Meanwhile, the increase of Vibrio colonies density in ponds continued to increase aggregately by 0.99%/week on nine weeks and 12.5%/week on the last eight weeks of shrimp culture periods. So, it can be concluded that the fluctuations density of vibrio and Oscillatoria sp bacteria in ponds is are bioecological responses from increased nutrient loads and other micromaterials in ponds due to the longer period of shrimp culture.

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“…Nonetheless, there are additional factors that were not identified through the BBN workshops that may be risk factors for the crops, including the composition of the biological community of the rice-shrimp ponds. These have been found to include toxic forms of cyanobacteria and relatively low levels of zooplankton and algae upon which growing shrimp can feed (Tho et al 2012). The next phase of model development will include the use of available data on such additional factors.…”

Section: Integrating Expert Knowledge and Data In Bbn Developmentmentioning

confidence: 99%

Expert based model building to quantify risk factors in a combined aquaculture-agriculture system

Stewart‐Koster

Anh

Burford

et al. 2017

Agricultural Systems

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In recent years, across tropical regions of the world, there has been an expansion of integrated farming systems that combine rice and shrimp production. While these systems were developed as a form of crop-rotation -growing rice in the wet season and shrimp in the dry season -some farmers grow both rice and brackish-water shrimp simultaneously during the wet season. Climatic variability has resulted in considerable crop losses in this system across many regions. Research has yet to identify the complete array of key risk factors, and their potential interactions, for integrated rice-shrimp farming. Consequently, different farming practices and environmental factors that may affect crop production need to be clarified to guide research efforts. We applied a staged, iterative process to develop a probabilistic Bayesian belief network based on expert knowledge that describes the relationships that contribute to the risk of failure of both crops in integrated rice-shrimp farming systems during the wet season. We applied the approach in the Southern Mekong Delta, Vietnam, in the context of a broader research program into the sustainability of the rice-shrimp farming system. The resulting network represents the experts' perceptions of the key risk factors to production and the interactions among them. While both farmers and extension officers contributed to the identification of the processes included in the network, the farmers alone provided estimates of the probability of the relationships among them. The network identified the challenges to minimise the risk of failure for both crops, and the steps farmers can take to mitigate some of them. Overall, farmers perceived they have a better chance to minimise risk of failure for shrimp rather than rice crops, and limited opportunities appear to exist for successful production of both. By engaging the farmers in this process of model development, we were able to identify additional research questions for the broader research team and to identify simple steps the farmers could take to reduce the risk of crop failure.Integrating additional empirical data into this network, as it becomes available, will help Highlights • We converted knowledge from rice-shrimp farmers in the Mekong Delta into a probabilistic model• Key risks to production for both crops revolved around soil and water quality • On average, rice crop failure was perceived to be more likely than for shrimp • Capturing extant agricultural knowledge improves outcomes for research and practice

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Biological characteristics of the improved extensive shrimp system in the Mekong delta of Vietnam

Cited by 16 publications

References 50 publications

Evolutionary social and biogeophysical changes in the Amazon, Ganges–Brahmaputra–Meghna and Mekong deltas

Evolutionary social and biogeophysical changes in the Amazon, Ganges–Brahmaputra–Meghna and Mekong deltas

Expert based model building to quantify risk factors in a combined aquaculture-agriculture system

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