Búsqueda avanzada


Área de conocimiento




308 resultados, página 6 de 10

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy

Martin van Ittersum (2023, [Artículo])

Context: Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use efficiency. Objective: The aim of this study was to assess the performance of statistical and machine learning methods to explain and predict crop yield across thousands of farmers’ fields in contrasting farming systems worldwide. Methods: A large database of 10,940 field-year combinations from three countries in different stages of agricultural intensification was analyzed. Random effects models were used to partition crop yield variability and random forest models were used to explain and predict crop yield within a cross-validation scheme with data re-sampling over space and time. Results: Yield variability in relative terms was smallest for wheat and barley in the Netherlands and for wheat in Ethiopia, intermediate for rice in the Philippines, and greatest for maize in Ethiopia. Random forest models comprising a total of 87 variables explained a maximum of 65 % of cereal yield variability in the Netherlands and less than 45 % of cereal yield variability in Ethiopia and in the Philippines. Crop management related variables were important to explain and predict cereal yields in Ethiopia, while predictive (i.e., known before the growing season) climatic variables and explanatory (i.e., known during or after the growing season) climatic variables were most important to explain and predict cereal yield variability in the Philippines and in the Netherlands, respectively. Finally, model cross-validation for regions or years not seen during model training reduced the R2 considerably for most crop x country combinations, while for wheat in the Netherlands this was model dependent. Conclusion: Big data from farmers’ fields is useful to explain on-farm yield variability to some extent, but not to predict it across time and space. Significance: The results call for moderate expectations towards big data and machine learning in agronomic studies, particularly for smallholder farms in the tropics where model performance was poorest independently of the variables considered and the cross-validation scheme used.

Model Accuracy Model Precision Linear Mixed Models CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MACHINE LEARNING SUSTAINABLE INTENSIFICATION BIG DATA YIELDS MODELS AGRONOMY

Desarrollo sostenible de la gestión escolar: un proceso en tensión

Raúl Enrique Anzaldúa (2004, [Capítulo de libro])

Capítulo de la sección: Educación y sustentabilidad

En este trabajo se intentará abordar, aunque sea de manera esquemática, una aproximación a ciertos aspectos de la crisis que se presenta en el subsistema de educación básica, especialmente aquellos aspectos vinculados con la gestión escolar. enmarcada en las tensiones provocadas por el dispositivo pedagógico que se ha establecido para el ejercicio del poder en este ámbito educativo.

Basic education--Mexico. School management and organization--Mexico. Education and state--Mexico. Educación básica. Administración escolar. LC1035.8.M6 HUMANIDADES Y CIENCIAS DE LA CONDUCTA PEDAGOGÍA ORGANIZACIÓN Y PLANIFICACIÓN DE LA EDUCACIÓN ORGANIZACIÓN Y DIRECCIÓN DE LAS INSTITUCIONES EDUCATIVAS

Ecología Forense: al rescate de los manglares

Diana Jacqueline Cisneros de la Cruz JORGE ALFREDO HERRERA SILVEIRA CLAUDIA TEUTLI HERNANDEZ (2022, [Artículo])

Cuando hablamos de series en la tv, no cabe duda de que las más populares son las de detectives y forenses que resuelven crímenes. Pero ¿ecología forense en manglares? Si, cuando los manglares mueren o se degradan, antes de cualquier intento de rescate, o mejor dicho, de restauración, es fundamental descubrir cuál fue la causa. La ecología forense durante la restauración ecológica de manglares es parte de una estrategia que, además de la cooperación entre diferentes sectores, será fundamental para recuperar diversos servicios que nos brindan los manglares y con ello ser aliados ante el cambio climático.

CAMBIO CLIMATICO CARBONO AZUL ECOSISTEMAS COSTEROS RESTAURACION ECOLOGICA VARIABLES INDICADORAS BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

Contrasting spatial patterns in active-fire and fire-suppressed mediterranean climate old-growth mixed conifer forests

Danny L. Fry  (2014, [Artículo])

In Mediterranean environments in western North America, historic fire regimes in frequent-fire conifer forests are highly variable both temporally and spatially. This complexity influenced forest structure and spatial patterns, but some of this diversity has been lost due to anthropogenic disruption of ecosystem processes, including fire. Information from reference forest sites can help management efforts to restore forests conditions that may be more resilient to future changes in disturbance regimes and climate. In this study, we characterize tree spatial patterns using four-ha stem maps from four old-growth, Jeffrey pine-mixed conifer forests, two with active-fire regimes in northwestern Mexico and two that experienced fire exclusion in the southern Sierra Nevada. Most of the trees were in patches, averaging six to 11 trees per patch at 0.007 to 0.014 ha-1, and occupied 27-46% of the study areas. Average canopy gap sizes (0.04 ha) covering 11-20% of the area were not significantly different among sites. The putative main effects of fire exclusion were higher densities of single trees in smaller size classes, larger proportion of trees (≥56%) in large patches (≥10 trees), and decreases in spatial complexity. While a homogenization of forest structure has been a typical result from fire exclusion, some similarities in patch, single tree, and gap attributes were maintained at these sites. These within-stand descriptions provide spatially relevant benchmarks from which to manage for structural heterogeneity in frequent-fire forest types.

article, climate, controlled study, ecosystem fire history, forest structure, geographic distribution, geographic mapping, land use, mathematical computing, mathematical model, Mexico, spatial analysis, taiga, United States, comparative study, conife CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

On-farm storage loss estimates of maize in Kenya using community survey methods

Hugo De Groote Anani Bruce (2023, [Artículo])

Maize is the most important staple in sub-Saharan Africa (SSA), with highly seasonal production. High storage losses affect food security, but good estimations are lacking. A new method using focus group discussions (FGDs) was tested with 121 communities (1439 farmers, 52% women) in Kenya's six maize-growing zones, to estimate the maize losses to storage pests and analyze farmer practices. As control strategies, half of the farmers used chemical pesticides (49%), while hermetic bags (16%) and botanicals (15%) were also popular. Relative loss from weevils in the long rains was estimated at 23%, in the short rains 18%, and annually 21%. Fewer farmers were affected by the larger grain borer (LGB) than by maize weevils: 42% in the long rainy season and 32% in the short rainy season; losses from LGB were also smaller: 19% in the long season, 17% in the short season, and 18% over the year. Total storage loss, from both species combined, was estimated at 36%, or 671,000 tonnes per year. The greatest losses occur in the humid areas, especially the moist mid-altitudes (56%), and with smaller loss in the drylands (20–23%). Extrapolating the point data and overlaying with the maize production map shows the geographic distribution of the losses, with the most important area found around Lake Victoria. FGDs provide convenient and cheap tools to estimate storage losses in representative communities, but a total loss estimate of 36% is higher than is found in other studies, so its accuracy and framing effects need to be assessed. We conclude that storage pests remain a major problem, especially in western Kenya, and that the use of environmentally friendly technologies such as hermetic storage and botanicals needs more attention, both by the public extension service and private agrodealers.

Larger Grain Borer Maize Weevil CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE STORAGE LOSSES PESTS SURVEY METHODS

Teacher training in the state of Chihuahua: Between the health challenge and teacher resilience

Evangelina Cervantes Holguín Pavel Roel Gutiérrez Sandoval Cely Celene Ronquillo Chávez (2023, [Artículo, Artículo])

 

The article proposes to recover the response of the Teacher Training and Updating Institutions in the state of Chihuahua regarding the various challenges imposed by the Coronavirus Disease (COVID-19). The qualitative exercise analyzes the experience of 10 institutions based on the voice of their students, teachers, and principals regarding changes in academic, administrative, and organizational processes. It is concluded that the pandemic has affected each institution in different ways and with diverse intensity. Despite the achievements, the experience analyzed reveals the relative success of the using virtual platforms in the face of three basic conditions: connectivity, technological competencies, and socio-emotional skills of the teaching staff. It highlights the importance of implementing tutoring, resilience, or awareness actions of teachers and students' needs, feelings, and sufferings. It is opportune to recover the experiences of other institutions and to question especially students, thesis students and graduates.

Acceso a la educación Aprendizaje en línea Educación a distancia Formación de docentes Tecnología educacional HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA Access to education online learning distance education teacher education educational technology

Estimación de los flujos de materia y energía en la Reserva de Bahía de los Ángeles, Canales de Ballenas y de Salsipuedes, mediante un modelo de balance de masas

Estimation of the flows of matter and energy in Bahía de los Ángeles, Canales de Ballenas y de Salsipuedes Reserve, using a mass balance model

Ana Lilia Perea Rojas (2023, [Tesis de maestría])

La Reserva de la Biósfera de Bahía de Los Ángeles, Canales de Ballenas y de Salsipuedes (RB-BLACS) es un área natural protegida que provee de distintos servicios ambientales a los pobladores de la comunidad de Bahía de Los Ángeles. Tiene una gran importancia ecológica por la diversidad de especies que habitan en ella y para las especies migratorias que la utilizan, algunas de las cuales se encuentran enlistadas dentro de la NOM-059-SEMARNAT-2001. Con objeto de estimar el efecto de la pesca sobre el ecosistema se construyó un modelo de balance de masas empleando Ecopath con Ecosim. Mediante una revisión documental, se definieron 32 grupos funcionales (GF) y se construyó una matriz de dietas. El modelo se parametrizó con los valores de biomasa (B), relación producción/biomasa (P/B) y se obtuvieron los valores de eficiencia ecotrófica (EE) y relación producción/consumo (P/Q). El rendimiento total del sistema (TST) fue de 13,689 t/km2/año. El nivel trófico de la captura de 3.48 y la producción neta del sistema de 4,641 t/km2/año. La matriz de impactos tróficos mixtos muestra que los grupos que sufren mayor impacto negativo por los Tiburones son los Odontocetos, Misticetos y Tortugas. Se simularon los cambios en la biomasa relativa de los GF bajo escenarios de incremento y decremento del esfuerzo pesquero (5 y 10%) y no pesca, en un lapso de 10 años. Se encontró que los cambios en el esfuerzo pesquero de Elasmobranquios y los Peces de escama son los que mayor efecto tienen sobre otros GF. Resalta que suspender la pesca tendría poco efecto, tanto positivo como negativo (2-3%) sobre la biomasa relativa de los GF, excepto Tiburones y rayas, que incrementarían 245 y 124%, respectivamente. Este modelo podría utilizarse para la toma de decisiones en el manejo y conservación del ecosistema.

The Biosphere Reserve of Bahía de Los Ángeles, Canales de Ballenas y de Salsipuedes (RB-BLACS) is a natural protected area that provides different environmental services to the residents of the community of Bahía de Los Ángeles. It has great ecological importance due to the diversity of species that inhabit it and the migratory species that use it, some of which are listed within NOM-059- SEMARNAT-2001. To estimate the effect of fishing on the ecosystem, a mass balance model was built using Ecopath with Ecosim. Through a documentary review, 32 functional groups (GF) were defined, and a diet matrix was constructed. The model was parameterized with the values of biomass (B), production/biomass ratio (P/B) and the values of ecotrophic efficiency (EE) and production/consumption ratio (P/Q) were obtained. The total system throughput (TST) was 13,689 t/km2/year. The trophic level of the capture is 3.48 and the net production of the system is 4,641 t/km2/year. The matrix of mixed trophic impacts shows that the groups that suffer the greatest negative impact from Sharks are Odontocetes, Mysticetes and Turtles. Changes in the relative biomass of GF were simulated under scenarios of increase and decrease in fishing effort (5 and 10%) and no fishing, over a period of 10 years. It was found that changes in the fishing effort of Elasmobranchs and Finfish have the greatest effect on other GFs. It highlights that suspending fishing would have little effect, both positive and negative (2-3%) on the relative biomass of GFs, except for sharks and rays, which would increase 245 and 124%, respectively. This model could be used for decision making in the management and conservation of the ecosystem.

Ecopath con Ecosim, socio-ecosistema, Golfo de California, pesquerías, conservación Ecopath with Ecosim, socio-ecosystem, Gulf of California, fisheries, conservation BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA OTRAS ESPECIALIDADES DE LA BIOLOGÍA OTRAS OTRAS

Transición de leña a gas licuado a presión (GLP) en el sur de México, oportunidad para la mitigación del cambio climático en la región menos desarrollada del país

Transition from biomass to LP gas in southern Mexico, an opportunity for climate change mitigation in the least developed region in the country

Elio Guarionex Lagunes Díaz María Eugenia González Rosende Alfredo Ortega Rubio (2015, [Artículo])

"En los estados del sur de México, entre un 25% y un 55% de los hogares dependen de la leña para cocinar, lo cual trae consecuencias en el ambiente, el desarrollo y la salud. No obstante, el conocimiento de estas consecuencias y la migración hacia combustibles modernos ha permanecido relegada de las políticas de desarrollo. En este trabajo, partiendo de una descripción del panorama de uso de leña en el país y su importancia como fuente de energía, se presenta una aproximación para estimar ahorros en emisiones de CO2 logrables por la transición a gas licuado a presión (GLP), los cuales pueden alcanzar 3.14 Mt CO2e, 26% menos que el escenario base. Se finaliza con una discusión de la transición hacia combustibles modernos, las barreras que la impiden y los logros y fallos de la distribución de estufas ahorradoras de leña, la principal iniciativa gubernamental para aliviar el consumo de leña en el país."

"Between 25% and 55% of households in southern Mexico depend on biomass for cooking, which carries serious consequences on the environment, development and health. In spite of the knowledge of these consequences, transition from biomass to modern fuels has remained outside energy and development policies. In the present work, after describing the panorama of fuelwood use in the country and its importance as an energy source, an approach is presented for estimating CO2 savings achievable by transition to pressurized liquefied gas (LP). These savings can reach 3.14 Mt CO2e, 26% less than the baseline scenario. At the end we discuss on the transition to modern fuels in Mexico, the barriers that hinder it and the achievements and failures of the distribution of fuelwood saving cookstoves, as the only and most important governmental initiative to alleviate biomass use, comparing it with other priorities in the government's agenda."

Transición energética, cambio climático, política energética. Energy transition, climate change, energy policy. CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO METEOROLOGÍA CONTAMINACIÓN ATMOSFÉRICA CONTAMINACIÓN ATMOSFÉRICA