FSIM is a computer simulation model for fish populations designed to simulate many forms of fisheries data routinely collected from real fisheries. Analyses of these “known ” simulated datasets facilitate studies of the robustness of alternative assessment methodologies. The model is also useful for exploring the implications of uncertainty about the dynamics of fish populations, forecasting consequences of management alternatives, and predicting future trends in population sizes and catches for a wide assortment of possible biological attributes under different management alternatives. The population may be stratified by age, sex, and sizes of the individuals that comprise the stock. Output options include time series of population and spa...
Fishery systems are complex systems that need to be managed in order to ensure a sustainable and eff...
Modern fisheries stock assessment models are evolving towards increasing complexity (Maunder & Punt...
This study evaluated through simulation management strategy that stabilise catch levels by setting ...
The purpose of stock assessment is to support managers to provide intelligent decisions regarding re...
The yellow perch, (Perca flavescens), is an important commercial and sport fish in Indiana waters of...
Chronic overcapacity has been identified as a major cause of the overfishing of Europe¿s fish stocks...
In fisheries, advice for the management of fish populations is based upon management quantities that...
Simulation testing is an important approach to evaluating fishery stock assessment methods. In the l...
A computer simulation model of a fish population was developed, capable of tracking individual fish ...
Simulation testing is an important approach to evaluating fishery stock assessment methods. In the l...
The assumption of a relationship between recruitment and a spawning stock is the cornerstone of the ...
In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and av...
Understanding the complexities of ecosystems is difficult enough, but when the human dimension is ad...
A length-structured simulation model is presented as a tool in decision making for gillnet fisheries...
Simulation testing is an important approach to evaluating fishery stock assessment methods. In the l...
Fishery systems are complex systems that need to be managed in order to ensure a sustainable and eff...
Modern fisheries stock assessment models are evolving towards increasing complexity (Maunder & Punt...
This study evaluated through simulation management strategy that stabilise catch levels by setting ...
The purpose of stock assessment is to support managers to provide intelligent decisions regarding re...
The yellow perch, (Perca flavescens), is an important commercial and sport fish in Indiana waters of...
Chronic overcapacity has been identified as a major cause of the overfishing of Europe¿s fish stocks...
In fisheries, advice for the management of fish populations is based upon management quantities that...
Simulation testing is an important approach to evaluating fishery stock assessment methods. In the l...
A computer simulation model of a fish population was developed, capable of tracking individual fish ...
Simulation testing is an important approach to evaluating fishery stock assessment methods. In the l...
The assumption of a relationship between recruitment and a spawning stock is the cornerstone of the ...
In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and av...
Understanding the complexities of ecosystems is difficult enough, but when the human dimension is ad...
A length-structured simulation model is presented as a tool in decision making for gillnet fisheries...
Simulation testing is an important approach to evaluating fishery stock assessment methods. In the l...
Fishery systems are complex systems that need to be managed in order to ensure a sustainable and eff...
Modern fisheries stock assessment models are evolving towards increasing complexity (Maunder & Punt...
This study evaluated through simulation management strategy that stabilise catch levels by setting ...