sdg14.7 Sustainable Use Of Marine Resources
14.7 By 2030 increase the economic benefits to SIDS and LDCs from the sustainable use of marine resources, including through sustainable management of fisheries, aquaculture and tourism
Courses tagged with "sdg::14.7_sustainable_use_of_marine_resources"
REDCAM_2023
Curso de estresores marinos y costeros: herramientas para la gestión de la calidad ambiental marina [Énfasis en contaminación por microplásticos] REDCAM 2023

AMP2023ES
Áreas Marinas Protegidas
El curso brinda un contexto sobre las Áreas Marinas Protegidas - AMP a
nivel global, su importancia, su situación para Latinoamérica y frente a
amenazas como el cambio climático, en el marco del CDB, Marco de
Biodiversidad Post 2020, los objetivos de Desarrollo Sostenible 13 y 14 y
el Decenio de las ciencias oceánicas. Abarca los temas de bases
conceptuales sobre áreas marinas protegidas, planeación, manejo,
gobernanza, monitoreo y desarrollo de estrategias para el desarrollo de
actividades sostenibles al interior de las AMP, adaptación al cambio
climático, entre otros. Busca también una retroalimentación por parte de
todos los estudiantes de acuerdo con sus experiencias y entrenamiento
adquirido en temas de conservación y manejo, para promover el desarrollo
de metodologías que orienten hacia el manejo efectivo de las AMP.

SP_PacMAN eDNA 2023
PacMAN eDNA: Marine Invasive Species Early Detection: Utilising Molecular Tools_2023 (self-paced)
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.

SP_OLArchitect2023
IOC/OTGA/OL: Ocean Literacy Training for architects and urban planners (Self-paced)

IPI_2023
International Phytoplankton Intercomparison (IPI) 2023
International Phytoplankton Intercomparison

IOC_IQ-HAB-2023
IOC/OTGA/HAB: Training Course and Identification Qualification in Harmful Marine Microalgae 2023
Since 1993 the IOC has conducted training courses on harmful microalgae. The purpose has been to improve the taxonomic and identification skills of the participants for research purposes and for practical monitoring of harmful algal blooms.
From 2006 the IOC training in HAB identification has been offered within a new framework which gives accreditation. The present course includes now a practical exam at the end of the course with an IOC Certificate of Proficiency in Identification of Harmful Algae issued to participants who pass the exam. We know by experience that many of the more than 500 trainees we have had over the years have wished the courses to give accreditation, and in some countries, the IOC courses have become a reference for laboratories to be approved for carrying out regulatory monitoring for harmful microalgae.
The IOC Science and Communication Centre on Harmful Algae, University of Copenhagen, Denmark is organizing the course.

OBIS2023EN
Contributing and publishing datasets to OBIS (self-paced)
This training course is self-guided and designed
to teach learners how to structure datasets to contribute to OBIS. The course
will guide users step-by-step through the OBIS data life cycle, including: identifying
an appropriate data structure, applying Darwin Core Archive formatting, conducting
quality control steps, publishing data, and accessing data from OBIS.
To enrol, please register on the OceanExpert website (www.oceanexpert.org).
Once your OceanExpert account is Approved, you can self-enrol in the
course. If you already have an OceanExpert account, you can self-enrol
in the course using your OceanExpert user name and password.
The enrolment key is OBIS*MASTERCLASS
The course is available until 16 February 2024. Enrolment is available until 1 February 2024
Any specific questions about this course please contact: the OBIS secretariat (helpdesk@obis.org) always using the name of the course as email subject.

AMP2022ES
Áreas Marinas Protegidas
El curso brinda un contexto sobre las Áreas Marinas Protegidas - AMP a
nivel global, su importancia, su situación para Latinoamérica y frente a
amenazas como el cambio climático, en el marco del CDB, Marco de
Biodiversidad Post 2020, los objetivos de Desarrollo Sostenible 13 y 14 y
el Decenio de las ciencias oceánicas. Abarca los temas de bases
conceptuales sobre áreas marinas protegidas, planeación, manejo,
gobernanza, monitoreo y desarrollo de estrategias para el desarrollo de
actividades sostenibles al interior de las AMP, adaptación al cambio
climático, entre otros. Busca también una retroalimentación por parte de
todos los estudiantes de acuerdo con sus experiencias y entrenamiento
adquirido en temas de conservación y manejo, para promover el desarrollo
de metodologías que orienten hacia el manejo efectivo de las AMP.

MAT_2022
AlgaeTraits: a trait database for (European) seaweeds
Through the online AlgaeTraits portal, editors have access to the Aphia platform (the database behind WoRMS) to add new traits and related non-taxonomic information, and to make changes to already existing records. With this course, the AlgaeTraits editors will become more at ease with the online AlgaeTraits editing interface and will learn how to use the available functionalities and tools to standardize their actions and improve the AlgaeTraits and WoRMS databases.
REDCAM2022ES
Curso REDCAM 2022: Curso de estresores marinos y costeros: herramientas para la gestión de la calidad ambiental marina. Énfasis en contaminación por microplásticos

FishMan_2022
Earth Observation data and techniques for fisheries management
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.