Professional Certificate in Sustainable Fisheries Data: Threat Analysis
-- ViewingNowThe Professional Certificate in Sustainable Fisheries Data: Threat Analysis is a comprehensive course that equips learners with essential skills for career advancement in fisheries management, conservation, and research. This program emphasizes the importance of sustainable fishing practices, data analysis, and threat assessment to protect marine ecosystems and promote long-term fishery resources' health.
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GBP £ 140
GBP £ 202
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โข Fisheries Data Collection: Overview of sustainable fisheries data collection methods, including acoustic and trawl surveys, remote sensing, and fishery-dependent data.
โข Data Analysis Techniques: Introduction to statistical methods and software tools used for analyzing fisheries data, such as R and Python.
โข Stock Assessment Models: Examination of commonly used stock assessment models, such as the Beverton-Holt model and the surplus production model, and their application to sustainable fisheries management.
โข Fisheries Threat Analysis: Overview of the methods and tools used for identifying and quantifying threats to sustainable fisheries, including habitat degradation, bycatch, and climate change.
โข Data Visualization Techniques: Introduction to data visualization techniques for communicating fisheries data and analysis results, such as heat maps, plotly, and ggplot2.
โข Management Strategies for Sustainable Fisheries: Overview of various management strategies to promote sustainable fisheries, including catch shares, marine protected areas, and ecosystem-based management.
โข Policy and Legal Frameworks for Sustainable Fisheries: Examination of domestic and international policy and legal frameworks for sustainable fisheries, including the Magnuson-Stevens Fishery Conservation and Management Act and the United Nations Law of the Sea.
โข Monitoring and Evaluation of Sustainable Fisheries: Overview of methods for monitoring and evaluating the effectiveness of sustainable fisheries management strategies, including data collection and analysis, and adaptive management.
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