OceanTeacher Global Academy

This training course will provide and introduction to sample collection and sorting, including taxonomy and processing for DNA extraction, eDNA and qPCR analyses, as well as a quick guide on the use of the bioinformatics for sequence analysis to in-country (Fiji) managers and technical staff.

El curso implica obtener conocimientos teóricos/prácticos para hacer trabajo de campo y muestreo en estuarios, humedales costeros y playas desde un punto de vista de la oceanografía física y geológica con relación a temas tanto biológicos como químicos. En cada caso se introducirán los equipos necesarios para cada ambientes con detalles de cómo se operan, calibran y se accede a los datos. Como se diseñan y desarrollan los trabajos de campo y el análisis de los riesgos que ellos implican. Se explicarán las técnicas de trabajo en laboratorio para el análisis de muestras. Finalmente se impartirán rudimentos de manejo de bases de datos y de métodos básicos de análisis de los datos.

El curso tiene una orientación técnica destinada a brindar los pasos fundamentales para la recolección de muestras y la metodología a aplicar durante el desarrollo de actividades de investigación vinculadas a la Biogeoquímica y la Microbiología Marina que pueden concretarse durante una campaña de investigación oceanográfica. Los contenidos permitirán abordar, con distintos enfoques, el estudio de diversos grupos de microorganismos que viven en la columna de agua o en dependencia de un sustrato, las condiciones biogeoquímicas asociadas, incluyendo contaminación por nano- y microplásticos. Se tratarán los pros y cons de los métodos de colecta, filtración y fraccionamiento de las muestras con distintos objetivos, las fuentes de error y el equipamiento requerido para efectuar mediciones, entre otros aspectos. 

The course serves as an introduction to R programming language and software environment (RStudio) for data exploration, cleaning, organizing, analysis and visualization. Relevant oceanographic (physical, chemical and biological) datasets will be used in the training, making it easy to relate, understand and apply the course concept. The course is designed for Early Career Ocean Professionals, hence, no prior experience is required. 

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

Fishing vessel traffic data derived from Automatic Identification System (AIS) has become an essential component for building fisheries intelligence.  Enforce and related fisheries management strategies rely on such information to curb illegal fishing, plan and implement policies for the sustainability of marine living resources. 

Fisheries managers and enforcers require specialized skills to processes the large volume of positional, navigational and voyage related information embedded in AIS data.  Open-source programming software such as Python has lots of third-party modules for building packages and functions.  This makes Python an asset for the creation of customized data processing, analyses and visualization to support in making informed decisions in the management of natural resources.   

This training course will provide participants an understanding of the movement of fishing vessels and skills in processing AIS data.

El curso de estuarios tropicales se enfocará en el estudio de los procesos que generan los principales servicios ecosistémicos a la sociedad, y como los efectos del cambio climático pueden afectarlos, a través de la aplicación de herramientas para su observación y análisis.

This training course will provide and introduction to sample collection and sorting, including taxonomy and processing for DNA extraction, eDNA and qPCR analyses, as well as a quick guide on the use of the bioinformatics for sequence analysis to in-country (Fiji) managers and technical staff.

This course is an introduction to the Ocean Best Practices System. A best practice is a methodology that has repeatedly produced superior results relative to other methodologies with the same objective; to be fully elevated to a best practice, a promising method should be adopted and employed by multiple organizations.
This short course provides an overview of the importance and relevance of using and sharing Ocean Best Practices and Standards, as well as on how to create, submit, share and search for Best Practices in the Ocean Best Practices System (OBPS) repository. This course is intended for University students, researchers and ocean practitioners in general. It does not provide a certificate.

Ocean colour analysis is a proven tool for determining the health of ocean using oceanic biological activity through optical means. Phytoplankton pigment, chlorophyll, are indicators of equilibrium of CO₂ concentration between atmosphere and ocean. The oceanic colour changes due to chlorophyll a provides the level of primary productivity whereas the colour change due to CDOM can be attributed to the level of pollution and higher particulate matter. The ability of optical sensors to map the spatial and temporal patterns of ocean colour over regional and global scales has provided important insights into the fundamental bio-optical properties and bio-physical processes occurring in the aquatic media. Chlorophyll, SST and PAR can be operationally scaled up to estimate primary production and estimate the fish stocks. This training focuses on the basics of marine optics, ocean colour remote sensing, and its applications such as mapping primary productivity, phytoplankton classes and algal blooms.