8 research outputs found
La diversidad cognitiva como criterio de selección de equipos de aprendizaje cooperativo
Se exponen resultados de la indagación sobre la utilización de la diversidad cognitiva como criterio de selección para constituir equipos de trabajo, en el Modelo de Aprendizaje Cooperativo. La diversidad cognitiva se determinó con la interpretación que realizaron los estudiantes basándose en la Naturaleza Corpuscular de la Materia. Se presentan resultados obtenidos con equipos homogéneos y heterogéneos conformados con distinto criterio. La muestra estuvo constituida por alumnos universitarios de tercer año del Profesorado en Química. Los resultados alcanzados muestran que la heterogeneidad cognitiva puede ser utilizada como un criterio válido para la formación de equipos cooperativos
Coastal risk mitigation by green infrastructure in Latin America
This paper aims to highlight the prevailing experiences of Latin America and to clarify what ‘green infrastructure’ entails in addition to describing seven case studies from a range of coastal ecosystems (wetlands, coastal dunes, beaches and coral reefs) at scales varying from local to regional. The case studies are categorised according to their degree of naturalness (nature-based, engineered ecosystems, soft engineering, ecologically enhanced hard infrastructure and de-engineering). Generally, the implementation of green infrastructure projects aims to increase resilience, enhance the provision of ecosystem services, recover biodiversity, reduce the negative effects of hard infrastructure and implement corrective measures. The greatest benefits of these projects relate to the creation of multi-functional spaces, which often combine the above advantages with improved opportunities for recreation and/or economic activities. It is hoped that this paper will disseminate the experience in green infrastructure among academics and practitioners and stimulate wider adoption of green infrastructure projects and good practices
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
Ten years of Cry1Ac Bt soybean use in Argentina: Historical shifts in the community of target and non-target pest insects
Long-term changes in the insect communities in genetically modified (GM) crops expressing target-specific pesticidal proteins can occur and matter for optimized integrated pest management. Using monitoring data of commercial soybean fields from 2012 to 2022, we documented shifts in the abundance of target and non-target insects of the GM Cry1Ac Bacillus thuringiensis (Bt) soybean in two provinces of northwestern Argentina. Before adoption of Bt soybean, lepidopterans prevailed in the crop-associated insect-pest community. They were 65% more abundant than stink bugs and weevils, and the highest population levels (a mean of 169 individuals/plot) were recorded during the vegetative and early reproductive stages. After introducing Bt soybean, the abundance of target lepidopterans (i.e., erebids, heliothines, and plusiines) was the lowest in the 2017–2018 crop season. In the 2020–2021 and 2021–2022 seasons, Rachiplusia nu larvae (Lepidoptera: Noctuidae: Plusiinae) were recorded in Bt soybean fields. The numbers of non-target lepidopterans (Spodoptera spp.) increased year by year, and they were the prevailing lepidopteran species on Bt soybean in 2020–2021 and the R1-R5 (reproductive) soybean growth stages. Weevil abundance was higher on Bt soybean than non-Bt soybean. Stink bugs were more frequent in Tucumán than Catamarca, and their abundances were higher during R1-R5 than during vegetative and late-reproductive stages. The temperature, precipitation, and solar radiation conditioned the abundance of some of the pest complexes. Efforts to monitor and manage secondary or Bt-resistant populations of insect pests are necessary and should be continued and complemented with studies of pest-susceptibility shifts to inform sound locally adapted integrated pest management programs.Fil: Páez Jerez, Paula Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; ArgentinaFil: Hill, Jorge Guillermo. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pereira, Eliseu J. G.. Universidade Federal de Viçosa; BrasilFil: Alzogaray, Raúl Adolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; ArgentinaFil: Vera, María Teresa. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
Essays on the pandemic
Este libro pretende seguir las preocupaciones de los primeros ejercicios de reflexión sobre la pandemia. Nos hemos propuesto estimular un debate público, que sea informado y original, sobre la experiencia actual, dotándolo de ideas, argumentos y algunas problematizaciones poco divulgadas. Porque creemos en la necesidad de exponer dilemas y problematizar realidades que, desde diferentes disciplinas y sensibilidades, permitan comprender el profundo y complejo impacto que esta pandemia tiene y podrá tener sobre las condiciones materiales, pero también subjetivas, de muchas y muy diferentes personas a lo largo de nuestras sociedades. Y porque creemos también, dicho lo anterior, en la necesidad de ayudar a crear −e insistir sobre− nuevas visiones del mundo actual, siempre críticas, nunca ingenuas, pero necesarias y posibles [Juan José Fernández Dusso].CONTENIDO: Presentación, Juan José Fernández Dusso -- Parte 1 : Un recuerdo recompuesto: entre realidad y memoria, Sasha Londoño Venegas -- Epidemias en la historia de Colombia: reflexiones para el presente, Katherine Bonil Gómez y Julián Velasco Pedraza -- ¿Es útil dudar durante una Pandemia?, Pedro Rovetto Villalobos -- Desde la pantalla o el papel, el libro universitario en tiempos de pandemia,
Adolfo A. Abadía -- De los miasmas al COVID-19.Transformaciones del hábitat en tiempos de epidemia, Joaquín Llorca Franco -- Voz y con-tacto, María del Rosario Acosta -- Erótica y letalidad de las pantallas en la época del COVID-19, Miguel Gutiérrez-Peláez -- Sars-Cov-2 conoce Cuerpo20. Los rostros paradójicos de la pandemia, Santiago Martínez Medina y Paola A. Benavides Gómez -- El campo del alfarero. De lo separado, Diego Cagüeñas Rozo -- ‘Capas sobre capas’: Una reflexión desde el encierro sobre el uso del tapabocas, Raquel Díaz Bustamante -- Parte 2 : Capitalismo y pandemia. Seguimos en la prehistoria de la humanidad, Raúl Cuadros -- COVID-19: Freud, Aristóteles y la Falsopolítica, Javier Zúñiga Buitrago -- La pandemia del COVID-19: reflexiones sobre la disciplina y el control, Mateo Prada Quintero y Patricia Quintero Cusgúen -- La crisis del Pangolín: ¿infodemia o confusión?, José Gregorio Pérez -- “Sangre mala”. Sobre la memoria de las cosas, las pestes y las purgas, Rafael Silva Vega -- Tiempos de pandemia y justicia socio-ambiental, Kristina Lyons -- Ciudadanía, pandemia y globalización, Aristides Obando Cabezas -- El que espera desespera: enfermedades de alto costo en tiempos de pandemia, Diana Patricia Quintero M. -- Ocupar no es habitar. Cuestiones sobre arquitectura y ciudad en tiempos de la COVID-19, Erick Abdel Figueroa Pereira -- Afuera, Lina Buchely Ibarra -- Covid-19, campesinos y política pública: la necesidad de hacerse visible para acceder a la dotación de bienes públicos, Rocío del Pilar Peña Huertas -- Pandemia y cárceles, Omar Alejandro Bravo -- Cuidado de la vida y protesta social en tiempos de pandemia, Carlos A. Manrique -- Sobre la vida-sin-muerte (o los dilemas del progresismo actual), Juan José Fernández Dusso -- Cuanto más lejos… Discurso, sujeto y lazo social en tiempos de pandemia, Ximena Castro Sardi -- Parte 3: Cada uno cuenta: patógenos y políticas en la pandemia de COVID-19, Kirk C. Allison -- Un triaje social, la voluntad anticipada, los determinantes sociales de la salud: ¿se puede clasificar y anticipar lo urgente, lo grave, lo catastrófico?, Yuri Takeuchi
-- El cuidado de sí mismo en profesionales de la salud en tiempos de Covid-19, un asunto ético, María Adelaida Arboleda Trujillo -- Tensiones constitucionales en tiempos de pandemia: desafíos éticos y jurídicos del uso de aplicaciones y desarrollos tecnológicos para enfrentar el COVID-19, Esteban Hoyos Ceballos y Julián Gaviria Mira -- Libertad de expresión en estados de emergencia, Diana Acosta Navas -- La soledad en el (tele)trabajo, Saryth Valencia -- Sobre el apocalipsis, la quietud y el hallazgo de sí, Daniela Díaz -- Comunidad, afectos e inmunización de la vida: una reflexión desde la actual pandemia, Ana María Ayala Román -- La ética de la auto-interrupción o cómo (no) actuar frente a la crisis, Nicolás Parra Herrera -- Sobre los autores -- Índice temático.Incluye referencias bibliográfica