Comparative study of food webs from two different time periods of Hooghly Matla estuarine system, India through network analysis

Rakshit, Nabyendu; Banerjee, Arnab; Mukherjee, Joyita; Chakrabarty, Moitreyee; Borrett, Stuart R.; Ray, Santanu

doi:10.1016/j.ecolmodel.2017.04.003

Cited by 34 publications

(9 citation statements)

References 32 publications

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“…The studies around the world suggest that the ecosystem based models can be used as an efficient tool to assess the ill effects of aquaculture on ecosystems (DiazLopez et al, 2008). The ecosystem indices showed comparable values for indices and statistics when compared to other major aquatic ecosystems (Pauly et al, 1993;Pauly and Christensen, 1995;Mohamed et al, 2008;Dutta et al, 2017;Rakshit et al, 2017;Sreekanth et al, 2020). The system is smaller in size and seems to be highly productive in which the freshwater is well mixed with the saline water (Shetye et al, 2007;Manju Lekshmi et al, 2018).…”

Section: Simulation Of Impacts Of Coastal Aquaculture On Ecosystemmentioning

confidence: 99%

“…The functional groups were described after considering the trophic model constructed for Zuari, Sunderbans and Hooghly-Matlah estuaries (Dutta et al, 2017;Rakshit et al, 2017), since there are similarities in the diversity of species collected during this study (Table 1). Among the functional groups, there were nine fishery groups, except plankton and detritus groups, which were exploited by bag nets (Table 1).…”

Section: In Equation 2 M 1imentioning

confidence: 99%

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Ecopath modelling approach for the impact assessment of a small-scale coastal aquaculture system in Goa, India

Lekshmi¹,

Sreekanth²,

Singh³

et al. 2020

Indian J. Fish.

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In this study, the ecological impacts of introduction of cage aquaculture employing small cages integrating shellfish and finfish in coastal water bodies of Goa, situated in the west coast of India were analysed using Ecopath with Ecosim model. A multispecies cage aquaculture system incorporating Lutjanus argentimaculatus, Etroplus suratensis and Perna viridis was established in an estuarine ecosystem. The Ecopath model identified 12 functional groups starting from detritus (trophic level=1) to large benthic carnivores (trophic level=3.72). The ecosystem statistics such as total system throughput (8672 g m-2 year-1), gross efficiency (0.001), primary production/respiration (1.4), net system production (1028.2 g m-2 year-1) and system omnivory index (0.26) indicated that the ecosystem was highly productive and in a developing stage. With a medium rate of recycling (Finn’s Cycling Index=11.7%), high system throughput, high system overhead (79%) and moderate omnivory index (0.26), the food web was found to be immature having an organized trophic network with high production. Simulations of the various expanding scenarios for the cage culture within the ecosystem were explored using Ecosim. A scenario in which two cages each for pearlspot and red snapper and 20 mussel ropes was identified as a sustainable solution without sacrificing the threshold biomass for the functional groups of fish species [WU1] . The study provided useful insights and methodology towards assessing aquaculture in coastal ecosystems in terms of ecosystem structure and function.

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Section: Simulation Of Impacts Of Coastal Aquaculture On Ecosystemmentioning

confidence: 99%

Section: In Equation 2 M 1imentioning

confidence: 99%

Ecopath modelling approach for the impact assessment of a small-scale coastal aquaculture system in Goa, India

Lekshmi¹,

Sreekanth²,

Singh³

et al. 2020

Indian J. Fish.

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“…The main objective of most models is to improve the management of ecosystems and fishery resources (STÄBLER et al, 2016). It is possible to simulate different anthropic disturbances, such as changes in fishing effort (RAKSHIT et al, 2017), banning of illegal fishing (BACALSO et al, 2016), and the biological invasion process (KUMAR et al, 2016). In this way, ecological modelling can be used to understand several environmental conditions, allowing the prediction of the future state of aquatic ecosystems submitted to some environmental/anthropic stress.…”

Section: Ecosystem Modellingmentioning

confidence: 99%

Food web and ecological models used to assess aquatic ecosystems submitted to aquaculture activities

Moura

Henry-Silva

2019

Cienc. Rural

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Continental aquatic ecosystems play a fundamental role in economic and social development; however, they are vulnerable to environmental degradation due to the various stresses to which they are submitted. Aquaculture is among the main anthropic activities that influence these environments. Mathematical modelling of aquatic ecosystems performed using a set of computational tools allows simplified representation of environment regarding its biotic and abiotic components. Some of the most used techniques are: hydrodynamic modelling, focusing on the dispersion of nutrients; nutrient-mass balance modelling, especially phosphorus; bioenergetic modelling in animal production systems, with an estimate of the generation of residues in the environment by farmed animals; and trophic and ecological modelling, focusing on aquatic communities and their interactions. These techniques help understand changes caused by aquaculture systems in aquatic environments. In this way, it is possible to estimate the magnitude and extent of the impacts of these activities by simulating the possible environmental changes over time. It can be concluded that techniques involving mathematical modelling can provide relevant information for future impacts prediction on aquatic environments, promoting the management of water resources and their multiple uses.

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“…Ecological network analysis (ENA) has been noted for its usefulness in uncovering flow structures and patterns in biological systems [26][27][28] and more recently, its adaptability in humandominated systems. 23,24 ENA offers a set of powerful modelling approaches and metrics that have already been used to support decision making in sustainable resource management.…”

Section: Introductionmentioning

confidence: 99%

“…Ecological network analysis (ENA) has been noted for its usefulness in uncovering flow structures and patterns in biological systems − and, more recently, its adaptability in human-dominated systems. , ENA offers a set of powerful modeling approaches and metrics that have already been used to support decision-making in sustainable resource management. − There have been studies establishing ENA models to track carbon metabolic pathways associated with ecological and economic activities in cities ,, and applied them to show the possibility of more efficient urban planning and carbon mitigation. , Since ENA metrics do not directly represent the dynamics of economy, the effectiveness and implications of these metrics for the decarbonization of cities with highly diverse economic traits may be better understood on a comparative basis . In ecosystems, there frequently exists a common rule or pattern governing the carbon balance. , It is important to ascertain whether there are some common properties of carbon flows in human-dominated systems like cities and how they are linked to urban development and carbon emission mitigation.…”

Section: Introductionmentioning

confidence: 99%

Global Urban Carbon Networks: Linking Inventory to Modeling

Chen

Long

Fath

et al. 2020

Environ. Sci. Technol.

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Cities utilize and manipulate an immense amount of global carbon flows through their economic and technical activities. Here, we establish the carbon networks of eight global cities by tracking the carbon exchanges between various natural and economic components. The metabolic properties of these carbon networks are compared by combining flow-based and interpretative network metrics. We further assess the relations of these carbon metabolic properties of cities with their socioeconomic attributes that are deemed important in urban development and planning. We find that though there is a large difference in city-level carbon balance and flow pattern, a similarity in inter-component relationships and metabolic characteristics can be found. Cities with lower per capita carbon emissions tend to have healthier metabolic systems with better cooperation amongst various industries, which indicates there may be synergy between urban decarbonization and metabolic system optimization.Combination of indicators from flow balance and network models is a promising scheme for linking carbon inventories to metabolic modelling efforts. With this done, we may be able to fill the knowledge gap in current practices of carbon mitigation priorities as to how various carbon flows in cities can be concertedly managed according to urban economic and demographic changes.

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Comparative study of food webs from two different time periods of Hooghly Matla estuarine system, India through network analysis

Cited by 34 publications

References 32 publications

Ecopath modelling approach for the impact assessment of a small-scale coastal aquaculture system in Goa, India

Ecopath modelling approach for the impact assessment of a small-scale coastal aquaculture system in Goa, India

Food web and ecological models used to assess aquatic ecosystems submitted to aquaculture activities

Global Urban Carbon Networks: Linking Inventory to Modeling

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