5 research outputs found
Cápsulas educomunicativas en temas transversales de la educación
99 páginas.Trabajo de Máster Oficial Interuniversitario en ComunicaciĂłn y EducaciĂłn Audiovisual (2021/22). Tutor: Dr. D. Antonio Daniel GarcĂa R. Este trabajo se centra en el potencial que tiene el área del Servicio Audiovisual de la
Universidad Internacional de AndalucĂa (SAV) en conjunto con el área de comunicaciones estas
dos entidades tienen como función dar soporte externo a la universidad en todo su ámbito
publicitario y comunicativo interna y externamente, es la cara de la universidad hacia afuera.
Por esta razón y partiendo desde su identidad gráfica, sus videos y materiales
audiovisuales es que se me encarga la creaciĂłn de una identidad visual para sus cortinillas de
presentación de los materiales audiovisuales como cursos académicos, presentaciones de
rectorado, conferencias entre otras, busco la manera de relacionar este material para construir
varias capsulas educativas un proyecto didáctico y comunicativo desde la perspectiva audiovisual
el cual se trata de crear mediante pequeñas animaciones e ilustraciones explicar temas de vital
importancia en la sociedad que puedan ser vistas desde todo tipo de redes sociales adaptando
este material según sea necesario con el fin de llegar a todas las plataformas más usadas por
los jĂłvenes.
Este proyecto busca dar a conocer un nuevo espacio donde jĂłvenes y universidad
participen en la creación de nuevos conocimientos aportando asà a la alfabetización mediática en
la sociedad de manera fácil y rápida y al alcance de todos.This work focuses on the potential of the Audiovisual Service area of the International
University of Andalusia (SAV) in conjunction with the communication area, these two entities have
the function of providing external support to the university in all its field of advertising and
communication internal and externally, it is the face of the university towards the outside.
For this reason and based on their graphic identity, their videos and audiovisual materials,
they commission me to create a visual identity for their audiovisual material presentation curtains
such as academic courses, rectory presentations, conferences, among others, I look for the way
of this material to build several educational capsules, a didactic and communicative project from
an audiovisual perspective, which is about creating relationships through small animations and
explaining illustrations of issues of vital importance in society that can be seen from all kinds of
social networks by adapting this material as needed to reach all platforms most used by young
people.
This project seeks to publicize a new space where young people and universities
participate in the creation of new knowledge, thus contributing to media literacy in society in an
easy, fast, and affordable way for everyone
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4
While the increasing availability of global databases on ecological communities has advanced our knowledge
of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In
the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of
Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus
crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced
environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian
Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by
2050. This means that unless we take immediate action, we will not be able to establish their current status,
much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost