Modelling and Quantitative Methods in Fisheries: A Comprehensive Guide to Using Statistical and Mathematical Techniques in Fisheries Science

Fisheries science is a complex and challenging field that requires a solid understanding of statistical and mathematical techniques. These techniques are used for a wide range of purposes, from data collection and analysis to stock assessment and fisheries management.

Using R for Modelling and Quantitative Methods in Fisheries (Chapman & Hall/CRC The R Series)

by Malcolm Haddon

5 out of 5

Language	:	English
File size	:	11562 KB
Screen Reader	:	Supported
Print length	:	352 pages

FREE

This comprehensive guide to using statistical and mathematical techniques in fisheries science covers a wide range of topics, from the basics of data collection and analysis to advanced topics such as stock assessment and fisheries management. It is an essential resource for fisheries scientists, students, and managers alike.

Data Collection and Analysis

The first step in any fisheries research project is to collect data. This data can be collected from a variety of sources, including field surveys, commercial fishing records, and laboratory experiments.

Once data has been collected, it must be analyzed in order to extract meaningful information. A variety of statistical techniques can be used for data analysis, including descriptive statistics, inferential statistics, and multivariate analysis.

Stock Assessment

Stock assessment is the process of estimating the size and status of a fish population. Stock assessments are used to inform fisheries management decisions, such as setting quotas and fishing seasons.

A variety of statistical and mathematical techniques can be used for stock assessment, including population models, age-structured models, and spatial models.

Fisheries Management

Fisheries management is the process of regulating fishing activities in order to achieve specific goals, such as maximizing sustainable yield or protecting endangered species.

A variety of statistical and mathematical techniques can be used for fisheries management, including optimization models, simulation models, and decision analysis models.

Statistical and mathematical techniques are essential tools for fisheries scientists, students, and managers. These techniques are used for a wide range of purposes, from data collection and analysis to stock assessment and fisheries management.

This comprehensive guide to using statistical and mathematical techniques in fisheries science covers a wide range of topics, from the basics of data collection and analysis to advanced topics such as stock assessment and fisheries management. It is an essential resource for anyone involved in fisheries science.

Using R for Modelling and Quantitative Methods in Fisheries (Chapman & Hall/CRC The R Series)

by Malcolm Haddon

5 out of 5

Language	:	English
File size	:	11562 KB
Screen Reader	:	Supported
Print length	:	352 pages

FREE