sdg::14.7_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"

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

PacMAN eDNA 2023

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

Belgium
Training Center

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.

 Áreas Marinas Protegidas
Online

AMP2022CO

Áreas Marinas Protegidas

Colombia
Training Center

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.

AlgaeTraits: a trait database for (European) seaweeds
Online

MAT_2022

AlgaeTraits: a trait database for (European) seaweeds

Belgium
Training Center

The amazing diversity of seaweeds is reflected in the ecological and morphological characteristics of the various species. Seaweed traits and functional forms have therefore long been used as a tool to answer various ecological and evolutionary questions. AlgaeTraits (https://algaetraits.org/) provides standardized trait information for all European seaweeds, enabling the use of trait-based approaches over broad taxonomic, spatial and temporal scales. AlgaeTraits is a thematic subregister of the World Register of Marine Species (WoRMS) (https://marinespecies.org/) which links to AlgaeBase (https://www.algaebase.org/), the most complete database on global algal taxonomic information.

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.

Curso REDCAM 2022: Curso de estresores marinos y costeros: herramientas para la gestión de la calidad ambiental marina. Énfasis en contaminación por microplásticos
Online

REDCAM_2022

Curso REDCAM 2022: Curso de estresores marinos y costeros: herramientas para la gestión de la calidad ambiental marina. Énfasis en contaminación por microplásticos

Colombia
Training Center

El curso proporciona las herramientas para las mediciones analíticas de las variables empleadas para calcular el Índice de Calidad de Aguas Marinas y Costeras -ICAM, siguiendo un protocolo estandarizado que asegure la calidad y homogeneidad de los resultados, para ser comparables a nivel nacional. Además, se brindarán conceptos básicos, forma de calcular, reportar e interpretar el ICAM, a través de aplicaciones de casos prácticos.

Earth Observation data and techniques for fisheries management
Online

FishMan_2022

Earth Observation data and techniques for fisheries management

Ghana
Training Center

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.


International Phytoplankton Intercomparison 2022
Online

IPI 2022

International Phytoplankton Intercomparison 2022

Hab
Training Center

International Phytoplankton Intercomparison

Marine Invasive Species Early Detection: Utilising Molecular Tools
Blended

PacMAN eDNA 2022

Marine Invasive Species Early Detection: Utilising Molecular Tools

Belgium, Pacific
Training Center

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.


Vessel-based ocean monitoring with applications to R/V Dr Fridtjof Nansen surveys
Blended

EAF_NANSEN2022

Vessel-based ocean monitoring with applications to R/V Dr Fridtjof Nansen surveys

Belgium
Training Center

The course has two main objectives: (i) to develop skills among marine environmental scientists participating in the EAF-Nansen Programme to perform onboard duties during surveys concerning the quality control, post-processing and reporting of the physical oceanography data, (ii) to introduce tools that will enable scientists from partner countries to access and use the collected historical time series at their home institutions (e.g. for preparing publications, reports, etc.).