The lessons learned from a review of thirteen bio-economic models are presented. We describe and analyze\ud how these models equal/ compare and differ in terms of the classification, their biological and economic\ud modules, the integration between modules, the indicators they provide and indicator use. We pay particular\ud attention to the relevance of each model as well as how a model is built, concluding that, even if the number of\ud models is huge, the multitude of construction differences reflects the necessity of individual modelling\ud approaches giving answers to different questions. Since real life questions in fisheries are so divers, answering\ud them require a diversity of models
Ecologists and economists both use models to help develop strategies for biodiversity management. Th...
This article summarizes the framework that translated data from multiple disciplines into a bio-econ...
Ecologists and economists both use models to help develop strategies for biodiversity management. Th...
The lessons learned from a review of thirteen bio-economic models are presented. We describe and ana...
The lessons learned from a review of thirteen existing European bio-economic models used in the eval...
Abstract: The term ‘bioeconomic modelling ’ is typically used by economists to describe models that ...
Background: Bioeconomics combines methods from the biological study of living resources, particularl...
In this paper, we investigate the bioeconomicimpacts of selected rebuilding strategies in amultispec...
An approach known as management strategy evaluation (MSE) provides a framework for identifying robus...
Bioeconomic models can provide powerful insights into the interactions between people and the natura...
International audienceEnvironmental and natural resource economics lies inherently at the interface ...
Key findings: The FISHRENT model is a major step forward in bio-economic model-ling, combining featu...
Graduation date: 2016Researchers rely on bioeconomic models to guide research and generate fishery m...
In recent years there has been a significant development of bio-economic models, especially those in...
This study investigates the biological and economic consequences of modifying the species selectivit...
Ecologists and economists both use models to help develop strategies for biodiversity management. Th...
This article summarizes the framework that translated data from multiple disciplines into a bio-econ...
Ecologists and economists both use models to help develop strategies for biodiversity management. Th...
The lessons learned from a review of thirteen bio-economic models are presented. We describe and ana...
The lessons learned from a review of thirteen existing European bio-economic models used in the eval...
Abstract: The term ‘bioeconomic modelling ’ is typically used by economists to describe models that ...
Background: Bioeconomics combines methods from the biological study of living resources, particularl...
In this paper, we investigate the bioeconomicimpacts of selected rebuilding strategies in amultispec...
An approach known as management strategy evaluation (MSE) provides a framework for identifying robus...
Bioeconomic models can provide powerful insights into the interactions between people and the natura...
International audienceEnvironmental and natural resource economics lies inherently at the interface ...
Key findings: The FISHRENT model is a major step forward in bio-economic model-ling, combining featu...
Graduation date: 2016Researchers rely on bioeconomic models to guide research and generate fishery m...
In recent years there has been a significant development of bio-economic models, especially those in...
This study investigates the biological and economic consequences of modifying the species selectivit...
Ecologists and economists both use models to help develop strategies for biodiversity management. Th...
This article summarizes the framework that translated data from multiple disciplines into a bio-econ...
Ecologists and economists both use models to help develop strategies for biodiversity management. Th...