Modeling Fish Population Dynamics for Sustainability and Resilience

2018 ◽  
pp. 199-218
Author(s):  
Nayem Rahman ◽  
Mahmud Ullah
Keyword(s):  
Population Dynamics ◽  
Boundary Conditions ◽  
System Dynamics ◽  
Real World ◽  
Fish Population ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Fish Population Dynamics ◽  
Growth Stocks ◽  
Living Creature

Conservation of any living creature is very vital to maintain the balance of ecosystem. Fish is one of the most regularly consumed living creatures, and hence its conservation is essential for sustainable fish population to help maintain a balanced ecosystem. It is possible to keep a sustainable fish population only if a balance between consumption and growth of fish population can be ensured. Developing a model on fish population dynamics is needed to achieve this objective. In this chapter, the authors present a system dynamics model. This model will provide the scientific tools for determining fish population, its growth, and harvesting. The model's sensitivity to changes in key parameters and initial values resulting from the changes in basic scenarios and boundary conditions was tested several times. Model results show that fish birth, growth, stocks, and catch can be controlled timely and effectively in different real-world changing conditions to maintain a sustainable fish population.

A System Dynamics Model for a Sustainable Fish Population

2014 ◽  
Vol 5 (2) ◽  
pp. 39-53 ◽  
Author(s):  
Nayem Rahman
Keyword(s):  
Population Growth ◽  
System Dynamics ◽  
Real World ◽  
Mental Model ◽  
Fish Population ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Reasonable Approach ◽  
Growth Stocks ◽  
Real World Problems

To visualize or address complex real world problems, eliciting and mapping of a mental model is reasonable approach but it is far from sufficient by itself. In this article we present a system dynamics model. The purpose of the model is to develop a sustainable model for fish population, growth, and harvesting. The model was run through several important tests to determine its sensitivity to changing in key parameters and initial values with different scenarios and boundary conditions. Model results show that fish birth, growth, stocks and catch can be controlled quickly in different real-world changing conditions to maintain a sustainable fish population.

scholarly journals A coupled recreational anglers’ decision and fish population dynamics model

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0206537
Author(s):  
Masami Fujiwara ◽  
Jesse D. Backstrom ◽  
Richard T. Woodward
Keyword(s):  
Population Dynamics ◽  
Fish Population ◽  
Dynamics Model ◽  
Fish Population Dynamics ◽  
Population Dynamics Model

Stochastic Modeling of Non-linear Terrorism Dynamics

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jakub Drmola ◽  
Tomáš Hubík
Keyword(s):  
System Dynamics ◽  
Stochastic Modeling ◽  
Real World ◽  
Historical Data ◽  
Power Laws ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Probabilistic Distribution ◽  
Non Linear

Abstract Modeling terrorism is both necessary and difficult. While the necessity comes from the all too obvious real-world pressures our society is facing, the difficulty stems from the underlying complexity of the phenomena itself – there are many variables to account for, they are hard to measure, and the relationships between them are confounding. Since modeling terrorism is at its most onerous when it comes to predicting specific attacks, their timing and scale, we opted to work around this using observed probabilistic distribution and integrate power laws into our system dynamics model. After evaluating thousands of simulations runs, this allows us to replicate historical data as well as produce prognostic scenarios, while maintaining what we believe to be authentic behavior. Compromises need to be made, but we believe that this approach can be useful for systems highly dependent on events or parameters which we are unable to predict but whose distributions are known.

scholarly journals Interpreting Daly’s Sustainability Criteria for Assessing the Sustainability of Marine Protected Areas: A System Dynamics Approach

2019 ◽  
Vol 11 (17) ◽  
pp. 4609 ◽  
Author(s):  
Supradianto Nugroho ◽  
Takuro Uehara ◽  
Yori Herwangi
Keyword(s):  
Population Dynamics ◽  
Coral Reef ◽  
System Dynamics ◽  
Protected Areas ◽  
Marine Protected Areas ◽  
Renewable Resources ◽  
Sustainability Assessment ◽  
Fish Population ◽  
Fish Population Dynamics ◽  
Marine Park

Sustainability assessments of marine protected areas (MPAs) are essential for improving the effectiveness of management efforts. Since sustainability is closely related to the concept of intergenerational well-being, measuring and tracking it through time is crucial. Therefore, this study will use the system dynamics approach applied at Pieh marine park as the study site. A system dynamics model was built comprising four sub-models: fish population dynamics, coral reef coverage, tourism, and pollution. The goodness-of-fit test of the model indicated low and unsystematic model error. The sustainability assessment was conducted using the three principles of sustainability proposed by Herman Daly, which define sustainability for resource management based on the change in the amount of renewable resources, non-renewable resources, and pollution. The sustainability assessment determined that Pieh marine park cannot sustain economic activities in its area, indicated by decreasing renewable resource indicators in the form of fish population dynamics, coral reef coverage, and increasing pollution levels. Several management interventions can be applied to improve sustainability, including lowering the total allowable catch, coral transplantation, and improved waste management.

scholarly journals A system dynamics model of the population dynamics ofOestrussp. (Diptera: Oestridae) infesting Iberian ibex,Capra pyrenaica

2015 ◽  
Vol 83 (1) ◽  
pp. 130-138
Author(s):  
J. M. Pérez ◽  
V. Moreno ◽  
J. Navas ◽  
N. Vélez de Mendizábal ◽  
J. M. Quesada ◽  
...  
Keyword(s):  
Population Dynamics ◽  
System Dynamics ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Capra Pyrenaica ◽  
Iberian Ibex
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