The Chemical Evolution of Narrow Emission Line Galaxies: the Key to their Formation Processes

JUAN PABLO TORRES PAPAQUI ROGER COZIOL RENE ALBERTO ORTEGA MINAKATA (2011, [Artículo])

Using the largest sample of narrow emission line galaxies available so far, we show that their spectral characteristics are correlated with different physical parameters, like the chemical abundances, the morphologies, the masses of the bulge and the mean stellar age of the stellar populations of the host galaxies. It suggests that the spectral variations observed in standard spectroscopic diagnostic diagrams are not due solely to variations of ionization parameters or structures but reflect also the chemical evolution of the galaxies, which in turn can be explained by different galaxy formation processes.

Utilizando la mayor muestra de galaxias con líneas de emisión angostas disponible hasta el momento, se muestra que sus características espectrales están correlacionadas con diferentes parámetros físicos, como las abundancias químicas, las morfologías, las masas del bulbo, y la edad estelar promedio de las poblaciones estelares de la galaxia anfitrio-na. Por lo tanto, se sugiere que las variaciones espectrales observadas en diagramas de diagnóstico estándares no se deben únicamente a las variaciones de los parámetros o las estructuras de ionización, sino que reflejan también la evolución química de las galaxias, relacionada con diferentes procesos de formación

CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA Galaxy Chemical Activity Formation Chemical evolution Galaxias Actividad química Formación Evolución química

Strong floristic distinctiveness across Neotropical successional forests

Catarina Jakovac Jorge Arturo Meave del Castillo Frans Bongers Susan Letcher JUAN MANUEL DUPUY RADA Daniel Piotto Danaë Rozendaal Marielos Peña-Claros Dylan Craven Braulio Santos Alexandre Siminski Alfredo Fantini Alice Cristina Rodrigues Alma Hernandez-Jaramillo Álvaro Idárraga-Piedrahita André Junqueira Angelica Almeyda Zambrano Bernardus de Jong Bruno X. Pinho Bryan Finegan Carolina Castellanos Castro Daisy Christiane Zambiazi Daisy Dent Daniel Hernán Garcia-Villalobos Deborah Kennard Diego Delgado Eben Broadbent Edgar Ortiz-Malavasi Eduardo A. Pérez-García Edwin Lebrija-Trejos Erika Berenguer Erika Marin-Spiotta Esteban Alvarez_Davila EVERARDO VALADARES DE SÁ SAMPAIO Felipe Melo Fernando Elias Filipe França Florian Oberleitner Francisco Mora Ardila G. Bruce Williamson Gabriel Colletta George Cabral Geraldine Derroire Geraldo Fernandes Hans van der Wal Heitor Mancini Teixeira Henricus F.M. Vester Hernando Garcia Ima Vieira Jaider Jiménez-Montoya Jarcilene Almeida Cortez Jefferson Hall Jerome Chave Jess Zimmerman Jhon Edison Nieto Vargas Joice Ferreira JORGE ENRIQUE RODRIGUEZ VELAZQUEZ Jorge Ruiz Jos Barlow Jose Aguilar Cano JOSE LUIS HERNANDEZ STEFANONI Julien Engel Justin Becknell Kátia Janaina Zanini Madelon Lohbeck Marcelo Tabarelli Marco Antonio Romero Romero Maria Uriarte Maria das Dores Magalhães Veloso Mário do Espírito Santo Masha van der Sande Michiel van Breugel Miguel Martínez-Ramos Naomi Schwartz Natalia Norden Nathalia Pérez-Cárdenas Noel Antonio González_Valdivia PASCAL PETRONELLI Patricia Balvanera Paulo Massoca Pedro Brancalion Pedro Manuel Villa Peter Hietz Rebecca Ostertag René López Camacho Ricardo Cesar Rita Mesquita Robin Chazdon Rodrigo Muñoz Saara DeWalt Sandra Müller Sandra M Duran Sebastião Martins Susana Ochoa-Gaona Susana Rodriguez-Buritica T. Mitchell Aide Tony Vizcarra Bentos Vanessa de Souza Moreno Laura Vanessa Granda William Thomas Whendee Silver YULE NUNES Lourens Poorter (2022, [Artículo])

Forests that regrow naturally on abandoned fields are important for restoring biodiversity and ecosystem services, but can they also preserve the distinct regional tree floras? Using the floristic composition of 1215 early successional forests (≤20 years) in 75 human-modified landscapes across the Neotropic realm, we identified 14 distinct floristic groups, with a between-group dissimilarity of 0.97. Floristic groups were associated with location, bioregions, soil pH, temperature seasonality, and water availability. Hence, there is large continental-scale variation in the species composition of early successional forests, which is mainly associated with biogeographic and environmental factors but not with human disturbance indicators. This floristic distinctiveness is partially driven by regionally restricted species belonging to widespread genera. Early secondary forests contribute therefore to restoring and conserving the distinctiveness of bioregions across the Neotropical realm, and forest restoration initiatives should use local species to assure that these distinct floras are maintained. Copyright © 2022 The Authors, some rights reserved.

CONSERVATION ECOSYSTEMS FORESTRY BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

Market Intelligence insights for groundnut breeding and seed systems in Tanzania

Pieter Rutsaert Kauê De Sousa Jacob van Etten Chris Ojiewo (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MARKET INTELLIGENCE GROUNDNUTS SEED SYSTEMS BREEDING FORAGE SOCIAL STRUCTURE

Sen4Rust: sentinel satellites for wheat rust disease forecasting

Gerald Blasch (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MONITORING SATELLITE OBSERVATION RUSTS FORECASTING

Multi-environment genomic prediction of plant traits using deep learners with dense architecture

Osval Antonio Montesinos-Lopez Jose Crossa (2018, [Artículo])

Shared Data Resources Deep Learning Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ACCURACY GENOMICS NEURAL NETWORKS FORECASTING DATA MARKER-ASSISTED SELECTION

Establishment of heterotic groups for hybrid wheat breeding

Yunbi Xu (2022, [Artículo])

Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPS FORECASTING PLANTS COMBINING ABILITY HETEROSIS HETEROTIC GROUPS MALE INFERTILITY PLANT HEIGHT WHEAT

Population and food in the early twenty-first century: meeting future food demand of an increasing population

Nurul Islam (1995, [Libro])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FOOD POLICIES FOOD PRODUCTION FOOD SUPPLY FORECASTING

Tutoring to novel teachers. A fragment of skylight from the border of Ciudad Juarez

Silvia Gabriela Alvídrez Minora (2022, [Artículo, Artículo])

This article describes and interprets the tutoring of novice teachers in a preschool area of ​​Ciudad Juarez. The study is situated in the interpretive paradigm; It makes use of the ethnographic method and research techniques such as participant observation and interview. The partial results show that tutoring is considered an important process for the insertion and professionalization of new teachers; however, it is mentioned that this enriching relationship is only possible when there is communication between all the people involved in the tutoring, in addition to being open to peer learning.

Teacher training Novice teachers Tutoring Ciudad Juarez Formación docente Tutoría Ciudad Juárez docentes nóveles CIENCIAS SOCIALES CIENCIAS SOCIALES

Manejo de pasturas para la crianza de llamas

Santiago Lopez-Ridaura Ravi Gopal Singh (2022, [Libro])

Pasturas CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURA DE CONSERVACIÓN GANADERÍA ARBUSTOS LEGUMINOSAS FORRAJES PASTOREO SUELO CAMBIO CLIMÁTICO CONSERVATION AGRICULTURE ANIMAL HUSBANDRY SHRUBS LEGUMES FORAGE GRAZING SOIL CLIMATE CHANGE LLAMAS AGACHO

High spatial resolution seasonal crop yield forecasting for heterogeneous maize environments in Oromia, Ethiopia

Kindie Tesfaye Vakhtang Shelia Pierre C. Sibiry Traore Dawit Solomon Gerrit Hoogenboom (2023, [Artículo])

Seasonal climate variability determines crop productivity in Ethiopia, where rainfed smallholder farming systems dominate in the agriculture production. Under such conditions, a functional and granular spatial yield forecasting system could provide risk management options for farmers and agricultural and policy experts, leading to greater economic and social benefits under highly variable environmental conditions. Yet, there are currently only a few forecasting systems to support early decision making for smallholder agriculture in developing countries such as Ethiopia. To address this challenge, a study was conducted to evaluate a seasonal crop yield forecast methodology implemented in the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT). CRAFT is a software platform that can run pre-installed crop models and use the Climate Predictability Tool (CPT) to produce probabilistic crop yield forecasts with various lead times. Here we present data inputs, model calibration, evaluation, and yield forecast results, as well as limitations and assumptions made during forecasting maize yield. Simulations were conducted on a 0.083° or ∼ 10 km resolution grid using spatially variable soil, weather, maize hybrids, and crop management data as inputs for the Cropping System Model (CSM) of the Decision Support System for Agrotechnology Transfer (DSSAT). CRAFT combines gridded crop simulations and a multivariate statistical model to integrate the seasonal climate forecast for the crop yield forecasting. A statistical model was trained using 29 years (1991–2019) data on the Nino-3.4 Sea surface temperature anomalies (SSTA) as gridded predictors field and simulated maize yields as the predictand. After model calibration the regional aggregated hindcast simulation from 2015 to 2019 performed well (RMSE = 164 kg/ha). The yield forecasts in both the absolute and relative to the normal yield values were conducted for the 2020 season using different predictor fields and lead times from a grid cell to the national level. Yield forecast uncertainties were presented in terms of cumulative probability distributions. With reliable data and rigorous calibration, the study successfully demonstrated CRAFT's ability and applicability in forecasting maize yield for smallholder farming systems. Future studies should re-evaluate and address the importance of the size of agricultural areas while comparing aggregated simulated yields with yield data collected from a fraction of the target area.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP MODELLING DECISION SUPPORT SYSTEMS FORECASTING MAIZE